303
Indicator Name Power outages in firms in a typical month (number) Firing cost (weeks of wages) Cost to export (US$ per container) Documents to export (number) Time to export (days) Firms using banks to finance investment (% of firms) Informal payments to public officials (% of firms) Losses due to theft, robbery, vandalism, and arson (% sales) Time required to obtain an operating license (days) Firms with female participation in ownership (% of firms) Firms formally registered when operations started (% of firms) Firms that do not report all sales for tax purposes (% of firms) ISO certification ownership (% of firms) Value lost due to electrical outages (% of sales) Firms offering formal training (% of firms) Management time dealing with officials (% of management time) Cost to import (US$ per container) Documents to import (number) Time to import (days) Time to resolve insolvency (years) Strength of legal rights index (0=weak to 10=strong) Time required to enforce a contract (days) Procedures to enforce a contract (number) Time required to register property (days) Procedures to register property (number) Cost of business start-up procedures (% of GNI per capita) Time required to start a business (days) Start-up procedures to register a business (number) Time to prepare and pay taxes (hours) Firms expected to give gifts in meetings with tax officials (% of firms) Labor tax and contributions (% of commercial profits) Average number of times firms spent in meetings with tax officials Other taxes payable by businesses (% of commercial profits) Tax payments (number) Profit tax (% of commercial profits) Total tax rate (% of commercial profits) Time required to build a warehouse (days) Procedures to build a warehouse (number) Investment in energy with private participation (current US$) Investment in telecoms with private participation (current US$) Investment in transport with private participation (current US$) Investment in water and sanitation with private participation (current US$) Scientific and technical journal articles Patent applications, nonresidents Patent applications, residents Trademark applications, aggregate direct Trademark applications, Madrid Trademark applications, direct nonresident Trademark applications, direct resident Trademark applications, total CPIA business regulatory environment rating (1=low to 6=high) CPIA debt policy rating (1=low to 6=high)

POL Country MetaData en EXCEL

Embed Size (px)

Citation preview

Page 1: POL Country MetaData en EXCEL

Indicator NamePower outages in firms in a typical month (number)Firing cost (weeks of wages)Cost to export (US$ per container)Documents to export (number)Time to export (days)Firms using banks to finance investment (% of firms)Informal payments to public officials (% of firms)Losses due to theft, robbery, vandalism, and arson (% sales)Time required to obtain an operating license (days)Firms with female participation in ownership (% of firms)Firms formally registered when operations started (% of firms)Firms that do not report all sales for tax purposes (% of firms)ISO certification ownership (% of firms)Value lost due to electrical outages (% of sales)Firms offering formal training (% of firms)Management time dealing with officials (% of management time)Cost to import (US$ per container)Documents to import (number)Time to import (days)Time to resolve insolvency (years)Strength of legal rights index (0=weak to 10=strong)Time required to enforce a contract (days)Procedures to enforce a contract (number)Time required to register property (days)Procedures to register property (number)Cost of business start-up procedures (% of GNI per capita)Time required to start a business (days)Start-up procedures to register a business (number)Time to prepare and pay taxes (hours)Firms expected to give gifts in meetings with tax officials (% of firms)Labor tax and contributions (% of commercial profits)Average number of times firms spent in meetings with tax officialsOther taxes payable by businesses (% of commercial profits)Tax payments (number)Profit tax (% of commercial profits)Total tax rate (% of commercial profits)Time required to build a warehouse (days)Procedures to build a warehouse (number)Investment in energy with private participation (current US$)Investment in telecoms with private participation (current US$)Investment in transport with private participation (current US$)Investment in water and sanitation with private participation (current US$)Scientific and technical journal articlesPatent applications, nonresidentsPatent applications, residentsTrademark applications, aggregate directTrademark applications, MadridTrademark applications, direct nonresidentTrademark applications, direct residentTrademark applications, totalCPIA business regulatory environment rating (1=low to 6=high)CPIA debt policy rating (1=low to 6=high)CPIA economic management cluster average (1=low to 6=high)CPIA policy and institutions for environmental sustainability rating (1=low to 6=high)CPIA quality of budgetary and financial management rating (1=low to 6=high)CPIA financial sector rating (1=low to 6=high)

Page 2: POL Country MetaData en EXCEL

CPIA fiscal policy rating (1=low to 6=high)CPIA gender equality rating (1=low to 6=high)CPIA building human resources rating (1=low to 6=high)IDA resource allocation index (1=low to 6=high)CPIA macroeconomic management rating (1=low to 6=high)CPIA quality of public administration rating (1=low to 6=high)CPIA equity of public resource use rating (1=low to 6=high)CPIA property rights and rule-based governance rating (1=low to 6=high)CPIA social protection rating (1=low to 6=high)CPIA public sector management and institutions cluster average (1=low to 6=high)CPIA efficiency of revenue mobilization rating (1=low to 6=high)CPIA policies for social inclusion/equity cluster average (1=low to 6=high)CPIA structural policies cluster average (1=low to 6=high)CPIA trade rating (1=low to 6=high)CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high)Burden of customs procedure, WEF (1=extremely inefficient to 7=extremely efficient)Quality of port infrastructure, WEF (1=extremely underdeveloped to 7=well developed and efficient by international standards)Air transport, registered carrier departures worldwideAir transport, freight (million ton-km)Air transport, passengers carriedRoad sector diesel fuel consumption (kt of oil equivalent)Road sector diesel fuel consumption per capita (kt of oil equivalent)Road density (km of road per 100 sq. km of land area)Road sector energy consumption (kt of oil equivalent)Road sector energy consumption per capita (kt of oil equivalent)Road sector energy consumption (% of total energy consumption)Roads, goods transported (million ton-km)Roads, paved (% of total roads)Roads, passengers carried (million passenger-km)Road sector gasoline fuel consumption (kt of oil equivalent)Road sector gasoline fuel consumption per capita (kt of oil equivalent)Roads, total network (km)Railways, goods transported (million ton-km)Railways, passengers carried (million passenger-km)Rail lines (total route-km)Liner shipping connectivity index (maximum value in 2004 = 100)Container port traffic (TEU: 20 foot equivalent units)Motor vehicles (per 1,000 people)Passenger cars (per 1,000 people)Vehicles (per km of road)Mobile cellular subscriptionsMobile cellular subscriptions (per 100 people)Telephone linesTelephone lines (per 100 people)Fixed broadband Internet subscribersFixed broadband Internet subscribers (per 100 people)Secure Internet serversSecure Internet servers (per 1 million people)Internet usersInternet users (per 100 people)Daily newspapers (per 1,000 people)Lead time to export, median case (days)Lead time to import, median case (days)Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)Logistics performance index: Competence and quality of logistics services (1=low to 5=high)

Page 3: POL Country MetaData en EXCEL

Logistics performance index: Overall (1=low to 5=high)Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)Logistics performance index: Ability to track and trace consignments (1=low to 5=high)Arms imports (constant 1990 US$)Armed forces personnel, totalArmed forces personnel (% of total labor force)Military expenditure (current LCU)Military expenditure (% of GDP)Military expenditure (% of central government expenditure)Arms exports (constant 1990 US$)General government final consumption expenditure (current US$)General government final consumption expenditure (current LCU)General government final consumption expenditure (constant 2000 US$)General government final consumption expenditure (annual % growth)General government final consumption expenditure (constant LCU)General government final consumption expenditure (% of GDP)Household final consumption expenditure, etc. (current US$)Household final consumption expenditure, etc. (current LCU)Household final consumption expenditure, etc. (constant 2000 US$)Household final consumption expenditure, etc. (annual % growth)Household final consumption expenditure, etc. (constant LCU)Household final consumption expenditure, etc. (% of GDP)Household final consumption expenditure (current US$)Household final consumption expenditure (current LCU)Household final consumption expenditure (constant 2000 US$)Household final consumption expenditure (annual % growth)Household final consumption expenditure (constant LCU)Household final consumption expenditure per capita (constant 2000 US$)Household final consumption expenditure per capita growth (annual %)Household final consumption expenditure, PPP (current international $)Household final consumption expenditure, PPP (constant 2005 international $)Final consumption expenditure, etc. (current US$)Final consumption expenditure, etc. (current LCU)Final consumption expenditure, etc. (constant 2000 US$)Final consumption expenditure, etc. (annual % growth)Final consumption expenditure, etc. (constant LCU)Final consumption expenditure, etc. (% of GDP)Final consumption expenditure (current US$)Final consumption expenditure (current LCU)Final consumption expenditure (constant 2000 US$)Final consumption expenditure (constant LCU)Gross national expenditure deflator (base year varies by country)Gross national expenditure (current US$)Gross national expenditure (current LCU)Gross national expenditure (constant 2000 US$)Gross national expenditure (constant LCU)Gross national expenditure (% of GDP)Exports of goods and services (current US$)Exports of goods and services (current LCU)Exports of goods and services (constant 2000 US$)Exports of goods and services (annual % growth)Exports of goods and services (constant LCU)Exports of goods and services (% of GDP)Gross fixed capital formation, private sector (current LCU)Gross fixed capital formation, private sector (% of GDP)Gross fixed capital formation (current US$)Gross fixed capital formation (current LCU)

Page 4: POL Country MetaData en EXCEL

Gross fixed capital formation (constant 2000 US$)Gross fixed capital formation (annual % growth)Gross fixed capital formation (constant LCU)Gross fixed capital formation (% of GDP)Changes in inventories (current US$)Changes in inventories (current LCU)Changes in inventories (constant LCU)Gross capital formation (current US$)Gross capital formation (current LCU)Gross capital formation (constant 2000 US$)Gross capital formation (annual % growth)Gross capital formation (constant LCU)Gross capital formation (% of GDP)Imports of goods and services (current US$)Imports of goods and services (current LCU)Imports of goods and services (constant 2000 US$)Imports of goods and services (annual % growth)Imports of goods and services (constant LCU)Imports of goods and services (% of GDP)External balance on goods and services (current US$)External balance on goods and services (current LCU)External balance on goods and services (constant LCU)External balance on goods and services (% of GDP)Trade (% of GDP)Agriculture, value added (current US$)Agriculture, value added (current LCU)Agriculture, value added (constant 2000 US$)Agriculture, value added (annual % growth)Agriculture, value added (constant LCU)Agriculture, value added (% of GDP)Manufacturing, value added (current US$)Manufacturing, value added (current LCU)Manufacturing, value added (constant 2000 US$)Manufacturing, value added (annual % growth)Manufacturing, value added (constant LCU)Manufacturing, value added (% of GDP)Industry, value added (current US$)Industry, value added (current LCU)Industry, value added (constant 2000 US$)Industry, value added (annual % growth)Industry, value added (constant LCU)Industry, value added (% of GDP)Chemicals (% of value added in manufacturing)Food, beverages and tobacco (% of value added in manufacturing)Machinery and transport equipment (% of value added in manufacturing)Other manufacturing (% of value added in manufacturing)Textiles and clothing (% of value added in manufacturing)Services, etc., value added (current US$)Services, etc., value added (current LCU)Services, etc., value added (constant 2000 US$)Services, etc., value added (annual % growth)Services, etc., value added (constant LCU)Services, etc., value added (% of GDP)Adjusted savings: education expenditure (current US$)Adjusted savings: education expenditure (% of GNI)Adjusted savings: carbon dioxide damage (current US$)Adjusted savings: carbon dioxide damage (% of GNI)

Page 5: POL Country MetaData en EXCEL

Adjusted savings: net forest depletion (current US$)Adjusted savings: net forest depletion (% of GNI)Adjusted savings: consumption of fixed capital (current US$)Adjusted savings: consumption of fixed capital (% of GNI)Adjusted savings: mineral depletion (current US$)Adjusted savings: mineral depletion (% of GNI)Adjusted savings: energy depletion (current US$)Adjusted savings: energy depletion (% of GNI)Adjusted savings: particulate emission damage (current US$)Adjusted savings: particulate emission damage (% of GNI)Adjusted savings: natural resources depletion (% of GNI)Adjusted savings: gross savings (% of GNI)Adjusted savings: net national savings (current US$)Adjusted savings: net national savings (% of GNI)Adjusted net national income (current US$)Adjusted net national income (constant 2000 US$)Adjusted net national income (annual % growth)Adjusted net savings, including particulate emission damage (current US$)Adjusted net savings, including particulate emission damage (% of GNI)Adjusted net savings, excluding particulate emission damage (current US$)Adjusted net savings, excluding particulate emission damage (% of GNI)Exports as a capacity to import (constant LCU)Coal rents (% of GDP)Inflation, GDP deflator (annual %)GDP deflator (base year varies by country)Discrepancy in expenditure estimate of GDP (current LCU)Discrepancy in expenditure estimate of GDP (constant LCU)Gross value added at factor cost (current US$)Gross value added at factor cost (current LCU)Gross value added at factor cost (constant 2000 US$)Gross value added at factor cost (constant LCU)Forest rents (% of GDP)Mineral rents (% of GDP)GDP (current US$)GDP (current LCU)GDP (constant 2000 US$)GDP growth (annual %)GDP (constant LCU)GDP, PPP (current international $)GDP, PPP (constant 2005 international $)Natural gas rents (% of GDP)GDP per capita (current US$)GDP per capita (constant 2000 US$)GDP per capita growth (annual %)GDP per capita (constant LCU)GDP per capita, PPP (current international $)GDP per capita, PPP (constant 2005 international $)Oil rents (% of GDP)Total natural resources rents (% of GDP)Gross domestic savings (current US$)Gross domestic savings (current LCU)Gross domestic savings (constant LCU)Gross domestic savings (% of GDP)Gross domestic income (constant 2000 US$)Gross domestic income (constant LCU)GNI, Atlas method (current US$)GNI (current US$)

Page 6: POL Country MetaData en EXCEL

GNI (current LCU)GNI (constant 2000 US$)GNI growth (annual %)GNI (constant LCU)GNI, PPP (current international $)GNI per capita, Atlas method (current US$)GNI per capita (constant 2000 US$)GNI per capita growth (annual %)GNI per capita (constant LCU)GNI per capita, PPP (current international $)Gross savings (current US$)Gross savings (current LCU)Gross savings (% of GNI)Gross savings (% of GDP)Gross national income (constant LCU)Net income from abroad (current US$)Net income from abroad (current LCU)Net income from abroad (constant LCU)Net taxes on products (current US$)Net taxes on products (current LCU)Net taxes on products (constant LCU)Net current transfers from abroad (current US$)Net current transfers from abroad (current LCU)Net current transfers from abroad (constant LCU)Terms of trade adjustment (constant LCU)DEC alternative conversion factor (LCU per US$)Official exchange rate (LCU per US$, period average)PPP conversion factor, GDP (LCU per international $)PPP conversion factor (GDP) to market exchange rate ratioPPP conversion factor, private consumption (LCU per international $)Real effective exchange rate index (2005 = 100)Literacy rate, youth female (% of females ages 15-24)Ratio of young literate females to males (% ages 15-24)Literacy rate, youth male (% of males ages 15-24)Literacy rate, youth total (% of people ages 15-24)Literacy rate, adult female (% of females ages 15 and above)Literacy rate, adult male (% of males ages 15 and above)Literacy rate, adult total (% of people ages 15 and above)Ratio of female to male primary enrollment (%)Ratio of girls to boys in primary and secondary education (%)Ratio of female to male secondary enrollment (%)Ratio of female to male tertiary enrollment (%)School enrollment, preprimary (% gross)School enrollment, preprimary, female (% gross)School enrollment, preprimary, male (% gross)Primary school starting age (years)Primary completion rate, female (% of relevant age group)Primary completion rate, male (% of relevant age group)Primary completion rate, total (% of relevant age group)Primary education, duration (years)Primary education, pupilsPrimary education, pupils (% female)Pupil-teacher ratio, primarySchool enrollment, primary (% gross)School enrollment, primary, female (% gross)School enrollment, primary, male (% gross)Gross intake rate in grade 1, female (% of relevant age group)

Page 7: POL Country MetaData en EXCEL

Gross intake rate in grade 1, male (% of relevant age group)Gross intake rate in grade 1, total (% of relevant age group)School enrollment, primary (% net)School enrollment, primary, female (% net)School enrollment, primary, male (% net)Net intake rate in grade 1, female (% of official school-age population)Net intake rate in grade 1, male (% of official school-age population)Net intake rate in grade 1 (% of official school-age population)School enrollment, primary, private (% of total primary)Persistence to grade 5, female (% of cohort)Persistence to grade 5, male (% of cohort)Persistence to grade 5, total (% of cohort)Persistence to last grade of primary, female (% of cohort)Persistence to last grade of primary, male (% of cohort)Persistence to last grade of primary, total (% of cohort)Repeaters, primary, female (% of female enrollment)Repeaters, primary, male (% of male enrollment)Repeaters, primary, total (% of total enrollment)Trained teachers in primary education, female (% of female teachers)Trained teachers in primary education, male (% of male teachers)Trained teachers in primary education (% of total teachers)Primary education, teachersPrimary education, teachers (% female)Total enrollment, primary (% net)Total enrollment, primary, female (% net)Total enrollment, primary, male (% net)Children out of school, primaryChildren out of school, primary, femaleChildren out of school, primary, maleSecondary school starting age (years)Secondary education, duration (years)Secondary education, pupilsSecondary education, pupils (% female)Secondary education, general pupilsSecondary education, general pupils (% female)Pupil-teacher ratio, secondarySecondary education, vocational pupilsSecondary education, vocational pupils (% female)School enrollment, secondary (% gross)School enrollment, secondary, female (% gross)School enrollment, secondary, male (% gross)School enrollment, secondary (% net)School enrollment, secondary, female (% net)School enrollment, secondary, male (% net)School enrollment, secondary, private (% of total secondary)Progression to secondary school, female (%)Progression to secondary school, male (%)Progression to secondary school (%)Repeaters, secondary, female (% of female enrollment)Repeaters, secondary, male (% of male enrollment)Repeaters, secondary, total (% of total enrollment)Secondary education, teachersSecondary education, teachers, femaleSecondary education, teachers (% female)School enrollment, tertiary (% gross)School enrollment, tertiary, female (% gross)School enrollment, tertiary, male (% gross)

Page 8: POL Country MetaData en EXCEL

Expenditure per student, primary (% of GDP per capita)Expenditure per student, secondary (% of GDP per capita)Expenditure per student, tertiary (% of GDP per capita)Public spending on education, total (% of government expenditure)Public spending on education, total (% of GDP)Proportion of seats held by women in national parliaments (%)Condom use, population ages 15-24, female (% of females ages 15-24)Condom use, population ages 15-24, male (% of males ages 15-24)Female adults with HIV (% of population ages 15+ with HIV)Prevalence of HIV, total (% of population ages 15-49)Mortality rate, female child (per 1,000 female children age one)Mortality rate, male child (per 1,000 male children age one)Mortality rate, under-5 (per 1,000)Mortality rate, neonatal (per 1,000 live births)Improved water source, rural (% of rural population with access)Improved water source, urban (% of urban population with access)Improved water source (% of population with access)Children (0-14) living with HIVPrevalence of HIV, female (% ages 15-24)Prevalence of HIV, male (% ages 15-24)Immunization, DPT (% of children ages 12-23 months)Immunization, measles (% of children ages 12-23 months)Hospital beds (per 1,000 people)Community health workers (per 1,000 people)Nurses and midwives (per 1,000 people)Physicians (per 1,000 people)Notified cases of malaria (per 100,000 people)Use of insecticide-treated bed nets (% of under-5 population)Children with fever receiving antimalarial drugs (% of children under age 5 with fever)Lifetime risk of maternal death (1 in: rate varies by country)Lifetime risk of maternal death (%)Smoking prevalence, females (% of adults)Smoking prevalence, males (% of adults)Improved sanitation facilities (% of population with access)Improved sanitation facilities, rural (% of rural population with access)Improved sanitation facilities, urban (% of urban population with access)Pregnant women receiving prenatal care (%)ARI treatment (% of children under 5 taken to a health provider)Exclusive breastfeeding (% of children under 6 months)Births attended by skilled health staff (% of total)Low-birthweight babies (% of births)Malnutrition prevalence, weight for age (% of children under 5)Maternal mortality ratio (modeled estimate, per 100,000 live births)Maternal mortality ratio (national estimate, per 100,000 live births)Diarrhea treatment (% of children under 5 receiving oral rehydration and continued feeding)Prevalence of overweight (% of children under 5)Malnutrition prevalence, height for age (% of children under 5)Prevalence of wasting (% of children under 5)Tuberculosis treatment success rate (% of registered cases)Tuberculosis case detection rate (%, all forms)Incidence of tuberculosis (per 100,000 people)Newborns protected against tetanus (%)Outpatient visits per capitaExternal resources for health (% of total expenditure on health)Out-of-pocket health expenditure (% of total expenditure on health)Out-of-pocket health expenditure (% of private expenditure on health)Health expenditure per capita (current US$)

Page 9: POL Country MetaData en EXCEL

Health expenditure per capita, PPP (constant 2005 international $)Health expenditure, private (% of GDP)Health expenditure, public (% of total health expenditure)Health expenditure, public (% of government expenditure)Health expenditure, public (% of GDP)Health expenditure, total (% of GDP)Income share held by second 20%Income share held by third 20%Income share held by fourth 20%Income share held by highest 20%Income share held by highest 10%Income share held by lowest 10%Income share held by lowest 20%Poverty headcount ratio at $2 a day (PPP) (% of population)Poverty headcount ratio at $1.25 a day (PPP) (% of population)Poverty gap at $2 a day (PPP) (%)Poverty gap at $1.25 a day (PPP) (%)GINI indexPoverty gap at national poverty line (%)Poverty headcount ratio at national poverty line (% of population)Poverty gap at rural poverty line (%)Poverty headcount ratio at rural poverty line (% of rural population)Poverty gap at urban poverty line (%)Poverty headcount ratio at urban poverty line (% of urban population)Child employment in agriculture, female (% of female economically active children ages 7-14)Child employment in agriculture, male (% of male economically active children ages 7-14)Child employment in agriculture (% of economically active children ages 7-14)Employees, agriculture, female (% of female employment)Employees, agriculture, male (% of male employment)Employment in agriculture (% of total employment)Employment to population ratio, ages 15-24, female (%)Employment to population ratio, ages 15-24, male (%)Employment to population ratio, ages 15-24, total (%)Share of women employed in the nonagricultural sector (% of total nonagricultural employment)Employers, female (% of employment)Employers, male (% of employment)Employers, total (% of employment)Self-employed, female (% of females employed)Self-employed, male (% of males employed)Self-employed, total (% of total employed)Employment to population ratio, 15+, female (%)Employment to population ratio, 15+, male (%)Employment to population ratio, 15+, total (%)Vulnerable employment, female (% of female employment)Vulnerable employment, male (% of male employment)Vulnerable employment, total (% of total employment)Wage and salaried workers, female (% of females employed)Wage and salary workers, male (% of males employed)Wage and salaried workers, total (% of total employed)Contributing family workers, female (% of females employed)Contributing family workers, male (% of males employed)Contributing family workers, total (% of total employed)GDP per person employed (constant 1990 PPP $)Employees, industry, female (% of female employment)Employees, industry, male (% of male employment)Employment in industry (% of total employment)Child employment in manufacturing, female (% of female economically active children ages 7-14)

Page 10: POL Country MetaData en EXCEL

Child employment in manufacturing, male (% of male economically active children ages 7-14)Child employment in manufacturing (% of economically active children ages 7-14)Ratio of female to male wages in manufacturing (%)Child employment in services, female (% of female economically active children ages 7-14)Child employment in services, male (% of male economically active children ages 7-14)Child employment in services (% of economically active children ages 7-14)Employees, services, female (% of female employment)Employees, services, male (% of male employment)Employment in services (% of total employment)Economically active children, female (% of female children ages 7-14)Economically active children, male (% of male children ages 7-14)Economically active children, study and work, female (% of female economically active children, ages 7-14)Economically active children, study and work, male (% of male economically active children, ages 7-14)Economically active children, study and work (% of economically active children, ages 7-14)Economically active children, work only, female (% of female economically active children, ages 7-14)Economically active children, work only, male (% of male economically active children, ages 7-14)Economically active children, work only (% of economically active children, ages 7-14)Economically active children, total (% of children ages 7-14)Labor participation rate, female (% of female population ages 15+)Labor participation rate, male (% of male population ages 15+)Labor participation rate, total (% of total population ages 15+)Part time employment, female (% of total female employment)Part time employment, male (% of total male employment)Part time employment, female (% of total part time employment)Part time employment, total (% of total employment)Labor force with primary education, female (% of female labor force)Labor force with primary education, male (% of male labor force)Labor force with primary education (% of total)Labor force with secondary education, female (% of female labor force)Labor force with secondary education, male (% of male labor force)Labor force with secondary education (% of total)Labor force with tertiary education, female (% of female labor force)Labor force with tertiary education, male (% of male labor force)Labor force with tertiary education (% of total)Labor force, female (% of total labor force)Labor force, totalUnemployment, youth female (% of female labor force ages 15-24)Unemployment, youth male (% of male labor force ages 15-24)Unemployment, youth total (% of total labor force ages 15-24)Long-term unemployment, female (% of female unemployment)Long-term unemployment, male (% of male unemployment)Long-term unemployment (% of total unemployment)Unemployment with primary education, female (% of female unemployment)Unemployment with primary education, male (% of male unemployment)Unemployment with primary education (% of total unemployment)Unemployment with secondary education, female (% of female unemployment)Unemployment with secondary education, male (% of male unemployment)Unemployment with secondary education (% of total unemployment)Unemployment with tertiary education, female (% of female unemployment)Unemployment with tertiary education, male (% of male unemployment)Unemployment with tertiary education (% of total unemployment)Unemployment, female (% of female labor force)Unemployment, male (% of male labor force)Unemployment, total (% of total labor force)Emigration rate of tertiary educated (% of total tertiary educated population)Net migrationRefugee population by country or territory of asylum

Page 11: POL Country MetaData en EXCEL

Refugee population by country or territory of originInternational migrant stock, totalInternational migrant stock (% of population)Prevalence of undernourishment (% of population)Depth of hunger (kilocalories per person per day)Consumption of iodized salt (% of households)Vitamin A supplementation coverage rate (% of children ages 6-59 months)Adolescent fertility rate (births per 1,000 women ages 15-19)Completeness of infant death reporting (% of reported infant deaths to estimated infant deaths)Completeness of total death reporting (% of reported total deaths to estimated total deaths)Mortality rate, adult, female (per 1,000 female adults)Mortality rate, adult, male (per 1,000 male adults)Birth rate, crude (per 1,000 people)Death rate, crude (per 1,000 people)Contraceptive prevalence (% of women ages 15-49)Mortality rate, infant (per 1,000 live births)Life expectancy at birth, female (years)Life expectancy at birth, total (years)Life expectancy at birth, male (years)Fertility rate, total (births per woman)Survival to age 65, female (% of cohort)Survival to age 65, male (% of cohort)Wanted fertility rate (births per woman)Female headed households (% of households with a female head)Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)Population ages 0-14 (% of total)Population ages 15-64 (% of total)Population ages 65 and above (% of total)Age dependency ratio (% of working-age population)Age dependency ratio, old (% of working-age population)Age dependency ratio, young (% of working-age population)Population growth (annual %)Researchers in R&D (per million people)Technicians in R&D (per million people)Population, totalPopulation, female (% of total)Completeness of birth registration, rural (%)Completeness of birth registration, urban (%)Completeness of birth registration (%)Rural populationRural population growth (annual %)Rural population (% of total population)Urban population growth (annual %)Urban populationUrban population (% of total)Unmet need for contraception (% of married women ages 15-49)International tourism, number of arrivalsInternational tourism, number of departuresInternational tourism, receipts (current US$)International tourism, receipts (% of total exports)International tourism, receipts for passenger transport items (current US$)International tourism, expenditures for passenger transport items (current US$)International tourism, receipts for travel items (current US$)International tourism, expenditures for travel items (current US$)International tourism, expenditures (current US$)International tourism, expenditures (% of total imports)Merchandise trade (% of GDP)

Page 12: POL Country MetaData en EXCEL

Import volume index (2000 = 100)Binding coverage, manufactured products (%)Bound rate, simple mean, manufactured products (%)Share of tariff lines with international peaks, manufactured products (%)Tariff rate, applied, simple mean, manufactured products (%)Tariff rate, most favored nation, simple mean, manufactured products (%)Share of tariff lines with specific rates, manufactured products (%)Tariff rate, applied, weighted mean, manufactured products (%)Tariff rate, most favored nation, weighted mean, manufactured products (%)Binding coverage, all products (%)Bound rate, simple mean, all products (%)Share of tariff lines with international peaks, all products (%)Tariff rate, applied, simple mean, all products (%)Tariff rate, most favored nation, simple mean, all products (%)Share of tariff lines with specific rates, all products (%)Tariff rate, applied, weighted mean, all products (%)Tariff rate, most favored nation, weighted mean, all products (%)Binding coverage, primary products (%)Bound rate, simple mean, primary products (%)Share of tariff lines with international peaks, primary products (%)Tariff rate, applied, simple mean, primary products (%)Tariff rate, most favored nation, simple mean, primary products (%)Share of tariff lines with specific rates, primary products (%)Tariff rate, applied, weighted mean, primary products (%)Tariff rate, most favored nation, weighted mean, primary products (%)Agricultural raw materials imports (% of merchandise imports)Food imports (% of merchandise imports)Fuel imports (% of merchandise imports)ICT goods imports (% total goods imports)Insurance and financial services (% of commercial service imports)Manufactures imports (% of merchandise imports)Ores and metals imports (% of merchandise imports)Merchandise imports from economies in the Arab World (% of total merchandise imports)Merchandise imports (current US$)Merchandise imports from high-income economies (% of total merchandise imports)Merchandise imports from developing economies outside region (% of total merchandise imports)Merchandise imports from developing economies in East Asia & Pacific (% of total merchandise imports)Merchandise imports from developing economies in Europe & Central Asia (% of total merchandise imports)Merchandise imports from developing economies in Latin America & the Caribbean (% of total merchandise imports)Merchandise imports from developing economies in Middle East & North Africa (% of total merchandise imports)Merchandise imports from developing economies in South Asia (% of total merchandise imports)Merchandise imports from developing economies in Sub-Saharan Africa (% of total merchandise imports)Merchandise imports by the reporting economy, residual (% of total merchandise imports)Merchandise imports by the reporting economy (current US$)Merchandise imports from developing economies within region (% of total merchandise imports)Import value index (2000 = 100)Computer, communications and other services (% of commercial service imports)Commercial service imports (current US$)Transport services (% of commercial service imports)Travel services (% of commercial service imports)Net barter terms of trade index (2000 = 100)Export volume index (2000 = 100)Agricultural raw materials exports (% of merchandise exports)Food exports (% of merchandise exports)Fuel exports (% of merchandise exports)ICT goods exports (% of total goods exports)Insurance and financial services (% of commercial service exports)

Page 13: POL Country MetaData en EXCEL

Manufactures exports (% of merchandise exports)Ores and metals exports (% of merchandise exports)Merchandise exports to economies in the Arab World (% of total merchandise exports)Merchandise exports (current US$)Merchandise exports to high-income economies (% of total merchandise exports)Merchandise exports to developing economies outside region (% of total merchandise exports)Merchandise exports to developing economies in East Asia & Pacific (% of total merchandise exports)Merchandise exports to developing economies in Europe & Central Asia (% of total merchandise exports)Merchandise exports to developing economies in Latin America & the Caribbean (% of total merchandise exports)Merchandise exports to developing economies in Middle East & North Africa (% of total merchandise exports)Merchandise exports to developing economies in South Asia (% of total merchandise exports)Merchandise exports to developing economies in Sub-Saharan Africa (% of total merchandise exports)Merchandise exports by the reporting economy, residual (% of total merchandise exports)Merchandise exports by the reporting economy (current US$)Merchandise exports to developing economies within region (% of total merchandise exports)Export value index (2000 = 100)Computer, communications and other services (% of commercial service exports)Commercial service exports (current US$)High-technology exports (current US$)High-technology exports (% of manufactured exports)Transport services (% of commercial service exports)Travel services (% of commercial service exports)Battle-related deaths (number of people)Internally displaced persons (number, high estimate)Internally displaced persons (number, low estimate)Intentional homicides, UN Crime Trends Survey (CTS) source (per 100,000 people)Intentional homicides, international public health sources (per 100,000 people)Intentional homicides, international police sources (per 100,000 people)Intentional homicides, government police sources (per 100,000 people)Presence of peace keepers (number of troops, police, and military observers in mandate)Agricultural machinery, tractorsFertilizer consumption (% of fertilizer production)Fertilizer consumption (kilograms per hectare of arable land)Agricultural land (sq. km)Agricultural land (% of land area)Arable land (hectares)Arable land (hectares per person)Arable land (% of land area)Land under cereal production (hectares)Permanent cropland (% of land area)Land area where elevation is below 5 meters (% of total land area)Forest area (sq. km)Forest area (% of land area)Agricultural irrigated land (% of total agricultural land)Average precipitation in depth (mm per year)Land area (sq. km)Agricultural machinery, tractors per 100 sq. km of arable landCereal production (metric tons)Crop production index (1999-2001 = 100)Food production index (1999-2001 = 100)Livestock production index (1999-2001 = 100)Surface area (sq. km)Cereal yield (kg per hectare)Trade in services (% of GDP)Communications, computer, etc. (% of service imports, BoP)Income payments (BoP, current US$)Imports of goods and services (BoP, current US$)

Page 14: POL Country MetaData en EXCEL

Insurance and financial services (% of service imports, BoP)Goods imports (BoP, current US$)Service imports (BoP, current US$)Royalty and license fees, payments (BoP, current US$)Imports of goods, services and income (BoP, current US$)Transport services (% of service imports, BoP)Travel services (% of service imports, BoP)Foreign direct investment, net outflows (% of GDP)Private current transfers, payments (BoP, current US$)Workers' remittances and compensation of employees, paid (current US$)Current account balance (BoP, current US$)Current account balance (% of GDP)Net income (BoP, current US$)Net trade in goods and services (BoP, current US$)Net trade in goods (BoP, current US$)Net errors and omissions, adjusted (BoP, current US$)Foreign direct investment, net (BoP, current US$)Private capital flows, total (BoP, current US$)Private capital flows, total (% of GDP)Portfolio investment, excluding LCFAR (BoP, current US$)Changes in net reserves (BoP, current US$)Net current transfers (BoP, current US$)Net capital account (BoP, current US$)ICT service exports (BoP, current US$)ICT service exports (% of service exports, BoP)Communications, computer, etc. (% of service exports, BoP)Income receipts (BoP, current US$)Exports of goods and services (BoP, current US$)Insurance and financial services (% of service exports, BoP)Goods exports (BoP, current US$)Service exports (BoP, current US$)Royalty and license fees, receipts (BoP, current US$)Exports of goods, services and income (BoP, current US$)Transport services (% of service exports, BoP)Travel services (% of service exports, BoP)Foreign direct investment, net inflows (BoP, current US$)Foreign direct investment, net inflows (% of GDP)Portfolio equity, net inflows (BoP, current US$)Current transfers, receipts (BoP, current US$)Workers' remittances, receipts (BoP, current US$)Workers' remittances and compensation of employees, received (current US$)Workers' remittances and compensation of employees, received (% of GDP)Financing via international capital markets (gross inflows, % of GDP)S&P Global Equity Indices (annual % change)Market capitalization of listed companies (current US$)Market capitalization of listed companies (% of GDP)Listed domestic companies, totalStocks traded, total value (current US$)Stocks traded, total value (% of GDP)Stocks traded, turnover ratio (%)Net bilateral aid flows from DAC donors, Australia (current US$)Net bilateral aid flows from DAC donors, Austria (current US$)Net bilateral aid flows from DAC donors, Belgium (current US$)Net bilateral aid flows from DAC donors, Canada (current US$)Net bilateral aid flows from DAC donors, European Union institutions (current US$)Net bilateral aid flows from DAC donors, Switzerland (current US$)Net bilateral aid flows from DAC donors, Germany (current US$)

Page 15: POL Country MetaData en EXCEL

Net bilateral aid flows from DAC donors, Denmark (current US$)Net bilateral aid flows from DAC donors, Spain (current US$)Net bilateral aid flows from DAC donors, Finland (current US$)Net bilateral aid flows from DAC donors, France (current US$)Net bilateral aid flows from DAC donors, United Kingdom (current US$)Net bilateral aid flows from DAC donors, Greece (current US$)Net bilateral aid flows from DAC donors, Ireland (current US$)Net bilateral aid flows from DAC donors, Italy (current US$)Net bilateral aid flows from DAC donors, Japan (current US$)Net bilateral aid flows from DAC donors, Korea, Rep. (current US$)Net bilateral aid flows from DAC donors, Luxembourg (current US$)Net bilateral aid flows from DAC donors, Netherlands (current US$)Net bilateral aid flows from DAC donors, Norway (current US$)Net bilateral aid flows from DAC donors, New Zealand (current US$)Net bilateral aid flows from DAC donors, Portugal (current US$)Net bilateral aid flows from DAC donors, Sweden (current US$)Net bilateral aid flows from DAC donors, Total (current US$)Net bilateral aid flows from DAC donors, United States (current US$)External debt stocks, total (DOD, current US$)External debt stocks (% of GNI)Use of IMF credit (DOD, current US$)External debt stocks, long-term (DOD, current US$)External debt stocks, private nonguaranteed (PNG) (DOD, current US$)External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$)External debt stocks, short-term (DOD, current US$)Short-term debt (% of total reserves)Short-term debt (% of exports of goods, services and income)Short-term debt (% of total external debt)IBRD loans and IDA credits (DOD, current US$)Present value of external debt (current US$)Present value of external debt (% of exports of goods, services and income)Present value of external debt (% of GNI)Net financial flows, bilateral (NFL, current US$)Portfolio investment, bonds (PPG + PNG) (NFL, current US$)Net official flows from UN agencies, IAEA (current US$)Net official flows from UN agencies, IFAD (current US$)Net financial flows, IMF concessional (NFL, current US$)Net financial flows, IMF nonconcessional (NFL, current US$)Net financial flows, IBRD (NFL, current US$)Net financial flows, IDA (NFL, current US$)Net financial flows, multilateral (NFL, current US$)Net financial flows, others (NFL, current US$)Commercial banks and other lending (PPG + PNG) (NFL, current US$)Net financial flows, RDB concessional (NFL, current US$)Net financial flows, RDB nonconcessional (NFL, current US$)Net official flows from UN agencies, UNAIDS (current US$)Net official flows from UN agencies, UNICEF (current US$)Net official flows from UN agencies, UNHCR (current US$)Net official flows from UN agencies, UNDP (current US$)Net official flows from UN agencies, UNECE (current US$)Net official flows from UN agencies, UNFPA (current US$)Net official flows from UN agencies, UNRWA (current US$)Net official flows from UN agencies, UNTA (current US$)Net official flows from UN agencies, WFP (current US$)Net official flows from UN agencies, WHO (current US$)Net official development assistance and official aid received (current US$)Net official development assistance and official aid received (constant 2009 US$)

Page 16: POL Country MetaData en EXCEL

Net official aid received (current US$)Net official aid received (constant 2009 US$)Net official development assistance received (current US$)Net ODA received (% of gross capital formation)Net ODA received (% of GNI)Net official development assistance received (constant 2009 US$)Net ODA received (% of imports of goods and services)Net ODA received per capita (current US$)Net ODA received (% of central government expense)Debt service on external debt, total (TDS, current US$)Total debt service (% of exports of goods, services and income)Total debt service (% of GNI)Debt service (PPG and IMF only, % of exports, excluding workers' remittances)Debt service on external debt, public and publicly guaranteed (PPG) (TDS, current US$)Public and publicly guaranteed debt service (% of GNI)Public and publicly guaranteed debt service (% of exports, excluding workers' remittances)Multilateral debt service (TDS, current US$)Multilateral debt service (% of public and publicly guaranteed debt service)Agriculture value added per worker (constant 2000 US$)Water pollution, clay and glass industry (% of total BOD emissions)Water pollution, chemical industry (% of total BOD emissions)Water pollution, food industry (% of total BOD emissions)Water pollution, metal industry (% of total BOD emissions)Water pollution, other industry (% of total BOD emissions)Water pollution, paper and pulp industry (% of total BOD emissions)Organic water pollutant (BOD) emissions (kg per day)Water pollution, textile industry (% of total BOD emissions)Water pollution, wood industry (% of total BOD emissions)Organic water pollutant (BOD) emissions (kg per day per worker)Energy production (kt of oil equivalent)Access to electricity (% of population)Electricity production from coal sources (kWh)Electricity production from coal sources (% of total)Electricity production from oil, gas and coal sources (% of total)Electricity production from hydroelectric sources (kWh)Electricity production from hydroelectric sources (% of total)Electric power transmission and distribution losses (kWh)Electric power transmission and distribution losses (% of output)Electricity production from natural gas sources (kWh)Electricity production from natural gas sources (% of total)Electricity production from nuclear sources (kWh)Electricity production from nuclear sources (% of total)Electricity production from oil sources (kWh)Electricity production from oil sources (% of total)Electricity production (kWh)Electricity production from renewable sources (kWh)Electricity production from renewable sources, excluding hydroelectric (kWh)Electricity production from renewable sources, excluding hydroelectric (% of total)GDP per unit of energy use (PPP $ per kg of oil equivalent)GDP per unit of energy use (constant 2005 PPP $ per kg of oil equivalent)Energy imports, net (% of energy use)Alternative and nuclear energy (% of total energy use)Fossil fuel energy consumption (% of total)Energy use (kg of oil equivalent) per $1,000 GDP (constant 2005 PPP)Energy use (kt of oil equivalent)Combustible renewables and waste (metric tons of oil equivalent)Combustible renewables and waste (% of total energy)

Page 17: POL Country MetaData en EXCEL

Electric power consumption (kWh)Electric power consumption (kWh per capita)Energy use (kg of oil equivalent per capita)CO2 intensity (kg per kg of oil equivalent energy use)CO2 emissions from gaseous fuel consumption (kt)CO2 emissions from gaseous fuel consumption (% of total)CO2 emissions (kg per 2000 US$ of GDP)CO2 emissions (kt)CO2 emissions from liquid fuel consumption (kt)CO2 emissions from liquid fuel consumption (% of total)CO2 emissions (metric tons per capita)CO2 emissions (kg per PPP $ of GDP)CO2 emissions (kg per 2005 PPP $ of GDP)CO2 emissions from solid fuel consumption (kt)CO2 emissions from solid fuel consumption (% of total)Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent)HFC gas emissions (thousand metric tons of CO2 equivalent)Agricultural methane emissions (thousand metric tons of CO2 equivalent)Agricultural methane emissions (% of total)Methane emissions in energy sector (thousand metric tons of CO2 equivalent)Energy related methane emissions (% of total)Methane emissions (kt of CO2 equivalent)Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)Agricultural nitrous oxide emissions (% of total)Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)Nitrous oxide emissions in industrial and energy processes (% of total nitrous oxide emissions)Industrial nitrous oxide emissions (thousand metric tons of CO2 equivalent)Nitrous oxide emissions (thousand metric tons of CO2 equivalent)PFC gas emissions (thousand metric tons of CO2 equivalent)PM10, country level (micrograms per cubic meter)SF6 gas emissions (thousand metric tons of CO2 equivalent)Bird species, threatenedDisaster risk reduction progress score (1-5 scale; 5=best)GHG net emissions/removals by LUCF (Mt of CO2 equivalent)Droughts, floods, extreme temperatures (% of population, average 1990-2009)CO2 emissions from residential buildings and commercial and public services (million metric tons)CO2 emissions from electricity and heat production, total (million metric tons)CO2 emissions from manufacturing industries and construction (million metric tons)CO2 emissions from other sectors, excluding residential buildings and commercial and public services (million metric tons)CO2 emissions from transport (million metric tons)Fish species, threatenedPlant species (higher), threatenedMammal species, threatenedPopulation density (people per sq. km of land area)Population living in areas where elevation is below 5 meters (% of total population)Population in largest cityPopulation in the largest city (% of urban population)Population in urban agglomerations of more than 1 millionPopulation in urban agglomerations of more than 1 million (% of total population)Pump price for diesel fuel (US$ per liter)Pump price for gasoline (US$ per liter)GEF benefits index for biodiversity (0 = no biodiversity potential to 100 = maximum)Water productivity, total (constant 2000 US$ GDP per cubic meter of total freshwater withdrawal)Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal)Annual freshwater withdrawals, domestic (% of total freshwater withdrawal)Annual freshwater withdrawals, industry (% of total freshwater withdrawal)Annual freshwater withdrawals, total (billion cubic meters)

Page 18: POL Country MetaData en EXCEL

Annual freshwater withdrawals, total (% of internal resources)Renewable internal freshwater resources, total (billion cubic meters)Renewable internal freshwater resources per capita (cubic meters)Terrestrial protected areas (% of total land area)Marine protected areas (% of territorial waters)Loan accounts, commercial banks (per 1,000 adults)Loan accounts, cooperatives (per 1,000 adults)Loan accounts, microfinance institutions (per 1,000 adults)Loan accounts, specialized state financial institutions (per 1,000 adults)Bank nonperforming loans to total gross loans (%)Automated teller machines (ATMs) (per 100,000 adults)Branches, commercial banks (per 100,000 adults)Branches, cooperatives (per 100,000 adults)Branches, microfinance institutions (per 100,000 adults)Branches, specialized state financial institutions (per 100,000 adults)Bank capital to assets ratio (%)Deposit accounts, commercial banks (per 1,000 adults)Deposit accounts, cooperatives (per 1,000 adults)Deposit accounts, microfinance institutions (per 1,000 adults)Deposit accounts, specialized state financial institutions (per 1,000 adults)Point-of-sale terminals (per 100,000 adults)Bank liquid reserves to bank assets ratio (%)Total reserves (includes gold, current US$)Total reserves (% of total external debt)Total reserves in months of importsTotal reserves minus gold (current US$)Claims on central government (annual growth as % of broad money)Claims on other sectors of the domestic economy (annual growth as % of broad money)Net domestic credit (current LCU)Net foreign assets (current LCU)Claims on private sector (annual growth as % of broad money)Broad money (current LCU)Broad money (% of GDP)Broad money to total reserves ratioBroad money growth (annual %)Money (current LCU)Money and quasi money (M2) (current LCU)Money and quasi money (M2) as % of GDPMoney and quasi money (M2) to total reserves ratioMoney and quasi money growth (annual %)Quasi money (current LCU)Consumer price index (2005 = 100)Inflation, consumer prices (annual %)Wholesale price index (2005 = 100)Deposit interest rate (%)Lending interest rate (%)Interest rate spread (lending rate minus deposit rate, %)Real interest rate (%)Risk premium on lending (prime rate minus treasury bill rate, %)Claims on central government, etc. (% GDP)Claims on other sectors of the domestic economy (% of GDP)Domestic credit provided by banking sector (% of GDP)Domestic credit to private sector (% of GDP)Liquid liabilities (M3) as % of GDPQuasi-liquid liabilities (% of GDP)Research and development expenditure (% of GDP)Cash surplus/deficit (current LCU)

Page 19: POL Country MetaData en EXCEL

Cash surplus/deficit (% of GDP)Central government debt, total (current LCU)Central government debt, total (% of GDP)Net incurrence of liabilities, domestic (current LCU)Net incurrence of liabilities, domestic (% of GDP)Net incurrence of liabilities, foreign (current LCU)Net incurrence of liabilities, foreign (% of GDP)Grants and other revenue (current LCU)Grants and other revenue (% of revenue)Social contributions (current LCU)Social contributions (% of revenue)Revenue, excluding grants (current LCU)Revenue, excluding grants (% of GDP)Taxes on exports (current LCU)Taxes on exports (% of tax revenue)Taxes on goods and services (current LCU)Taxes on goods and services (% of revenue)Taxes on goods and services (% value added of industry and services)Customs and other import duties (current LCU)Customs and other import duties (% of tax revenue)Taxes on international trade (current LCU)Taxes on international trade (% of revenue)Other taxes (current LCU)Other taxes (% of revenue)Tax revenue (current LCU)Tax revenue (% of GDP)Taxes on income, profits and capital gains (current LCU)Taxes on income, profits and capital gains (% of revenue)Taxes on income, profits and capital gains (% of total taxes)Compensation of employees (current LCU)Compensation of employees (% of expense)Goods and services expense (current LCU)Goods and services expense (% of expense)Interest payments (current LCU)Interest payments (% of revenue)Interest payments (% of expense)Other expense (current LCU)Other expense (% of expense)Expense (current LCU)Expense (% of GDP)Subsidies and other transfers (current LCU)Subsidies and other transfers (% of expense)Business extent of disclosure index (0=less disclosure to 10=more disclosure)Ease of doing business index (1=most business-friendly regulations)New business density (new registrations per 1,000 people ages 15-64)New businesses registered (number)Credit depth of information index (0=low to 6=high)Private credit bureau coverage (% of adults)Public credit registry coverage (% of adults)Average time to clear exports through customs (days)Delay in obtaining an electrical connection (days)

Page 20: POL Country MetaData en EXCEL

Indicator Code 1960 1961 1962 1963 1964IC.ELC.OUTGIC.EMP.FIRE.WKIC.EXP.COST.CDIC.EXP.DOCSIC.EXP.DURSIC.FRM.BNKS.ZSIC.FRM.CORR.ZSIC.FRM.CRIM.ZSIC.FRM.DURSIC.FRM.FEMO.ZSIC.FRM.FREG.ZSIC.FRM.INFM.ZSIC.FRM.ISOC.ZSIC.FRM.OUTG.ZSIC.FRM.TRNG.ZSIC.GOV.DURS.ZSIC.IMP.COST.CDIC.IMP.DOCSIC.IMP.DURSIC.ISV.DURSIC.LGL.CRED.XQIC.LGL.DURSIC.LGL.PROCIC.PRP.DURSIC.PRP.PROCIC.REG.COST.PC.ZSIC.REG.DURSIC.REG.PROCIC.TAX.DURSIC.TAX.GIFT.ZSIC.TAX.LABR.CP.ZSIC.TAX.METGIC.TAX.OTHR.CP.ZSIC.TAX.PAYMIC.TAX.PRFT.CP.ZSIC.TAX.TOTL.CP.ZSIC.WRH.DURSIC.WRH.PROCIE.PPI.ENGY.CDIE.PPI.TELE.CDIE.PPI.TRAN.CDIE.PPI.WATR.CDIP.JRN.ARTC.SCIP.PAT.NRES 580 830IP.PAT.RESD 2355 2646IP.TMK.AGGDIP.TMK.MDRDIP.TMK.NRES 388 317 288 384IP.TMK.RESD 267 285 312 254IP.TMK.TOTL 655 602 600 638IQ.CPA.BREG.XQIQ.CPA.DEBT.XQIQ.CPA.ECON.XQIQ.CPA.ENVR.XQIQ.CPA.FINQ.XQIQ.CPA.FINS.XQ

Page 21: POL Country MetaData en EXCEL

IQ.CPA.FISP.XQIQ.CPA.GNDR.XQIQ.CPA.HRES.XQIQ.CPA.IRAI.XQIQ.CPA.MACR.XQIQ.CPA.PADM.XQIQ.CPA.PRES.XQIQ.CPA.PROP.XQIQ.CPA.PROT.XQIQ.CPA.PUBS.XQIQ.CPA.REVN.XQIQ.CPA.SOCI.XQIQ.CPA.STRC.XQIQ.CPA.TRAD.XQIQ.CPA.TRAN.XQIQ.WEF.CUST.XQIQ.WEF.PORT.XQIS.AIR.DPRTIS.AIR.GOOD.MT.K1IS.AIR.PSGRIS.ROD.DESL.KT 296 316 374 409 473IS.ROD.DESL.PC 0.010013193 0.010545637 0.012333465 0.013326382 0.01517923IS.ROD.DNST.K2IS.ROD.ENGY.KT 1136 1241 1395 1477 1716IS.ROD.ENGY.PC 0.038429011 0.041414984 0.046003166 0.048124857 0.055068836IS.ROD.ENGY.ZS 2.096830758 2.18659149 2.328298423 2.423735211 2.712485971IS.ROD.GOOD.MT.K6IS.ROD.PAVE.ZSIS.ROD.PSGR.K6IS.ROD.SGAS.KT 794 875 965 1009 1175IS.ROD.SGAS.PC 0.026859714 0.029200734 0.031822978 0.032876087 0.037707391IS.ROD.TOTL.KMIS.RRS.GOOD.MT.K6IS.RRS.PASG.KMIS.RRS.TOTL.KMIS.SHP.GCNW.XQIS.SHP.GOOD.TUIS.VEH.NVEH.P3IS.VEH.PCAR.P3IS.VEH.ROAD.K1IT.CEL.SETS 0IT.CEL.SETS.P2 0IT.MLT.MAIN 535202IT.MLT.MAIN.P2 1.810500321IT.NET.BBNDIT.NET.BBND.P2IT.NET.SECRIT.NET.SECR.P6IT.NET.USERIT.NET.USER.P2IT.PRT.NEWS.P3LP.EXP.DURS.MDLP.IMP.DURS.MDLP.LPI.CUST.XQLP.LPI.INFR.XQLP.LPI.ITRN.XQLP.LPI.LOGS.XQ

Page 22: POL Country MetaData en EXCEL

LP.LPI.OVRL.XQLP.LPI.TIME.XQLP.LPI.TRAC.XQMS.MIL.MPRT.KD 863000000 877000000 695000000 1003000000 1535000000MS.MIL.TOTL.P1MS.MIL.TOTL.TF.ZSMS.MIL.XPND.CNMS.MIL.XPND.GD.ZSMS.MIL.XPND.ZSMS.MIL.XPRT.KD 5000000 5000000 12000000 86000000 193000000NE.CON.GOVT.CDNE.CON.GOVT.CNNE.CON.GOVT.KDNE.CON.GOVT.KD.ZGNE.CON.GOVT.KNNE.CON.GOVT.ZSNE.CON.PETC.CDNE.CON.PETC.CNNE.CON.PETC.KDNE.CON.PETC.KD.ZGNE.CON.PETC.KNNE.CON.PETC.ZSNE.CON.PRVT.CDNE.CON.PRVT.CNNE.CON.PRVT.KDNE.CON.PRVT.KD.ZGNE.CON.PRVT.KNNE.CON.PRVT.PC.KDNE.CON.PRVT.PC.KD.ZGNE.CON.PRVT.PP.CDNE.CON.PRVT.PP.KDNE.CON.TETC.CDNE.CON.TETC.CNNE.CON.TETC.KDNE.CON.TETC.KD.ZGNE.CON.TETC.KNNE.CON.TETC.ZSNE.CON.TOTL.CDNE.CON.TOTL.CNNE.CON.TOTL.KDNE.CON.TOTL.KNNE.DAB.DEFL.ZSNE.DAB.TOTL.CDNE.DAB.TOTL.CNNE.DAB.TOTL.KDNE.DAB.TOTL.KNNE.DAB.TOTL.ZSNE.EXP.GNFS.CDNE.EXP.GNFS.CNNE.EXP.GNFS.KDNE.EXP.GNFS.KD.ZGNE.EXP.GNFS.KNNE.EXP.GNFS.ZSNE.GDI.FPRV.CNNE.GDI.FPRV.ZSNE.GDI.FTOT.CDNE.GDI.FTOT.CN

Page 23: POL Country MetaData en EXCEL

NE.GDI.FTOT.KDNE.GDI.FTOT.KD.ZGNE.GDI.FTOT.KNNE.GDI.FTOT.ZSNE.GDI.STKB.CDNE.GDI.STKB.CNNE.GDI.STKB.KNNE.GDI.TOTL.CDNE.GDI.TOTL.CNNE.GDI.TOTL.KDNE.GDI.TOTL.KD.ZGNE.GDI.TOTL.KNNE.GDI.TOTL.ZSNE.IMP.GNFS.CDNE.IMP.GNFS.CNNE.IMP.GNFS.KDNE.IMP.GNFS.KD.ZGNE.IMP.GNFS.KNNE.IMP.GNFS.ZSNE.RSB.GNFS.CDNE.RSB.GNFS.CNNE.RSB.GNFS.KNNE.RSB.GNFS.ZSNE.TRD.GNFS.ZSNV.AGR.TOTL.CDNV.AGR.TOTL.CNNV.AGR.TOTL.KDNV.AGR.TOTL.KD.ZGNV.AGR.TOTL.KNNV.AGR.TOTL.ZSNV.IND.MANF.CDNV.IND.MANF.CNNV.IND.MANF.KDNV.IND.MANF.KD.ZGNV.IND.MANF.KNNV.IND.MANF.ZSNV.IND.TOTL.CDNV.IND.TOTL.CNNV.IND.TOTL.KDNV.IND.TOTL.KD.ZGNV.IND.TOTL.KNNV.IND.TOTL.ZSNV.MNF.CHEM.ZS.UNNV.MNF.FBTO.ZS.UNNV.MNF.MTRN.ZS.UNNV.MNF.OTHR.ZS.UNNV.MNF.TXTL.ZS.UNNV.SRV.TETC.CDNV.SRV.TETC.CNNV.SRV.TETC.KDNV.SRV.TETC.KD.ZGNV.SRV.TETC.KNNV.SRV.TETC.ZSNY.ADJ.AEDU.CDNY.ADJ.AEDU.GN.ZSNY.ADJ.DCO2.CDNY.ADJ.DCO2.GN.ZS

Page 24: POL Country MetaData en EXCEL

NY.ADJ.DFOR.CDNY.ADJ.DFOR.GN.ZSNY.ADJ.DKAP.CDNY.ADJ.DKAP.GN.ZSNY.ADJ.DMIN.CDNY.ADJ.DMIN.GN.ZSNY.ADJ.DNGY.CDNY.ADJ.DNGY.GN.ZSNY.ADJ.DPEM.CDNY.ADJ.DPEM.GN.ZSNY.ADJ.DRES.GN.ZSNY.ADJ.ICTR.GN.ZSNY.ADJ.NNAT.CDNY.ADJ.NNAT.GN.ZSNY.ADJ.NNTY.CDNY.ADJ.NNTY.KDNY.ADJ.NNTY.KD.ZGNY.ADJ.SVNG.CDNY.ADJ.SVNG.GN.ZSNY.ADJ.SVNX.CDNY.ADJ.SVNX.GN.ZSNY.EXP.CAPM.KNNY.GDP.COAL.RT.ZSNY.GDP.DEFL.KD.ZGNY.GDP.DEFL.ZSNY.GDP.DISC.CNNY.GDP.DISC.KNNY.GDP.FCST.CDNY.GDP.FCST.CNNY.GDP.FCST.KDNY.GDP.FCST.KNNY.GDP.FRST.RT.ZSNY.GDP.MINR.RT.ZSNY.GDP.MKTP.CDNY.GDP.MKTP.CNNY.GDP.MKTP.KDNY.GDP.MKTP.KD.ZGNY.GDP.MKTP.KNNY.GDP.MKTP.PP.CDNY.GDP.MKTP.PP.KDNY.GDP.NGAS.RT.ZSNY.GDP.PCAP.CDNY.GDP.PCAP.KDNY.GDP.PCAP.KD.ZGNY.GDP.PCAP.KNNY.GDP.PCAP.PP.CDNY.GDP.PCAP.PP.KDNY.GDP.PETR.RT.ZSNY.GDP.TOTL.RT.ZSNY.GDS.TOTL.CDNY.GDS.TOTL.CNNY.GDS.TOTL.KNNY.GDS.TOTL.ZSNY.GDY.TOTL.KDNY.GDY.TOTL.KNNY.GNP.ATLS.CDNY.GNP.MKTP.CD

Page 25: POL Country MetaData en EXCEL

NY.GNP.MKTP.CNNY.GNP.MKTP.KDNY.GNP.MKTP.KD.ZGNY.GNP.MKTP.KNNY.GNP.MKTP.PP.CDNY.GNP.PCAP.CDNY.GNP.PCAP.KDNY.GNP.PCAP.KD.ZGNY.GNP.PCAP.KNNY.GNP.PCAP.PP.CDNY.GNS.ICTR.CDNY.GNS.ICTR.CNNY.GNS.ICTR.GN.ZSNY.GNS.ICTR.ZSNY.GNY.TOTL.KNNY.GSR.NFCY.CDNY.GSR.NFCY.CNNY.GSR.NFCY.KNNY.TAX.NIND.CDNY.TAX.NIND.CNNY.TAX.NIND.KNNY.TRF.NCTR.CDNY.TRF.NCTR.CNNY.TRF.NCTR.KNNY.TTF.GNFS.KNPA.NUS.ATLSPA.NUS.FCRF 0.0004 0.0004 0.0004 0.0004 0.0004PA.NUS.PPPPA.NUS.PPPC.RFPA.NUS.PRVT.PPPX.REX.REERSE.ADT.1524.LT.FE.ZSSE.ADT.1524.LT.FM.ZSSE.ADT.1524.LT.MA.ZSSE.ADT.1524.LT.ZSSE.ADT.LITR.FE.ZSSE.ADT.LITR.MA.ZSSE.ADT.LITR.ZSSE.ENR.PRIM.FM.ZSSE.ENR.PRSC.FM.ZSSE.ENR.SECO.FM.ZSSE.ENR.TERT.FM.ZSSE.PRE.ENRRSE.PRE.ENRR.FESE.PRE.ENRR.MASE.PRM.AGESSE.PRM.CMPT.FE.ZSSE.PRM.CMPT.MA.ZSSE.PRM.CMPT.ZSSE.PRM.DURSSE.PRM.ENRLSE.PRM.ENRL.FE.ZSSE.PRM.ENRL.TC.ZSSE.PRM.ENRRSE.PRM.ENRR.FESE.PRM.ENRR.MASE.PRM.GINT.FE.ZS

Page 26: POL Country MetaData en EXCEL

SE.PRM.GINT.MA.ZSSE.PRM.GINT.ZSSE.PRM.NENRSE.PRM.NENR.FESE.PRM.NENR.MASE.PRM.NINT.FE.ZSSE.PRM.NINT.MA.ZSSE.PRM.NINT.ZSSE.PRM.PRIV.ZSSE.PRM.PRS5.FE.ZSSE.PRM.PRS5.MA.ZSSE.PRM.PRS5.ZSSE.PRM.PRSL.FE.ZSSE.PRM.PRSL.MA.ZSSE.PRM.PRSL.ZSSE.PRM.REPT.FE.ZSSE.PRM.REPT.MA.ZSSE.PRM.REPT.ZSSE.PRM.TCAQ.FE.ZSSE.PRM.TCAQ.MA.ZSSE.PRM.TCAQ.ZSSE.PRM.TCHRSE.PRM.TCHR.FE.ZSSE.PRM.TENRSE.PRM.TENR.FESE.PRM.TENR.MASE.PRM.UNERSE.PRM.UNER.FESE.PRM.UNER.MASE.SEC.AGESSE.SEC.DURSSE.SEC.ENRLSE.SEC.ENRL.FE.ZSSE.SEC.ENRL.GCSE.SEC.ENRL.GC.FE.ZSSE.SEC.ENRL.TC.ZSSE.SEC.ENRL.VOSE.SEC.ENRL.VO.FE.ZSSE.SEC.ENRRSE.SEC.ENRR.FESE.SEC.ENRR.MASE.SEC.NENRSE.SEC.NENR.FESE.SEC.NENR.MASE.SEC.PRIV.ZSSE.SEC.PROG.FE.ZSSE.SEC.PROG.MA.ZSSE.SEC.PROG.ZSSE.SEC.REPT.FE.ZSSE.SEC.REPT.MA.ZSSE.SEC.REPT.ZSSE.SEC.TCHRSE.SEC.TCHR.FESE.SEC.TCHR.FE.ZSSE.TER.ENRRSE.TER.ENRR.FESE.TER.ENRR.MA

Page 27: POL Country MetaData en EXCEL

SE.XPD.PRIM.PC.ZSSE.XPD.SECO.PC.ZSSE.XPD.TERT.PC.ZSSE.XPD.TOTL.GB.ZSSE.XPD.TOTL.GD.ZSSG.GEN.PARL.ZSSH.CON.1524.FE.ZSSH.CON.1524.MA.ZSSH.DYN.AIDS.FE.ZSSH.DYN.AIDS.ZSSH.DYN.CHLD.FESH.DYN.CHLD.MASH.DYN.MORT 65.3 60.9 56.6 52.7 49.2SH.DYN.NMRTSH.H2O.SAFE.RU.ZSSH.H2O.SAFE.UR.ZSSH.H2O.SAFE.ZSSH.HIV.0014SH.HIV.1524.FE.ZSSH.HIV.1524.MA.ZSSH.IMM.IDPTSH.IMM.MEASSH.MED.BEDS.ZS 4.599999905SH.MED.CMHW.P3SH.MED.NUMW.P3SH.MED.PHYS.ZS 1 1 1.1 1.1 1.2SH.MLR.INCDSH.MLR.NETS.ZSSH.MLR.TRET.ZSSH.MMR.RISKSH.MMR.RISK.ZSSH.PRV.SMOK.FESH.PRV.SMOK.MASH.STA.ACSNSH.STA.ACSN.RUSH.STA.ACSN.URSH.STA.ANVC.ZSSH.STA.ARIC.ZSSH.STA.BFED.ZSSH.STA.BRTC.ZSSH.STA.BRTW.ZSSH.STA.MALN.ZSSH.STA.MMRTSH.STA.MMRT.NESH.STA.ORCF.ZSSH.STA.OWGH.ZSSH.STA.STNT.ZSSH.STA.WAST.ZSSH.TBS.CURE.ZSSH.TBS.DTEC.ZSSH.TBS.INCDSH.VAC.TTNS.ZSSH.VST.OUTP 3.299999952SH.XPD.EXTR.ZSSH.XPD.OOPC.TO.ZSSH.XPD.OOPC.ZSSH.XPD.PCAP

Page 28: POL Country MetaData en EXCEL

SH.XPD.PCAP.PP.KDSH.XPD.PRIV.ZSSH.XPD.PUBLSH.XPD.PUBL.GX.ZSSH.XPD.PUBL.ZSSH.XPD.TOTL.ZSSI.DST.02ND.20SI.DST.03RD.20SI.DST.04TH.20SI.DST.05TH.20SI.DST.10TH.10SI.DST.FRST.10SI.DST.FRST.20SI.POV.2DAYSI.POV.DDAYSI.POV.GAP2SI.POV.GAPSSI.POV.GINISI.POV.NAGPSI.POV.NAHCSI.POV.RUGPSI.POV.RUHCSI.POV.URGPSI.POV.URHCSL.AGR.0714.FE.ZSSL.AGR.0714.MA.ZSSL.AGR.0714.ZSSL.AGR.EMPL.FE.ZSSL.AGR.EMPL.MA.ZSSL.AGR.EMPL.ZSSL.EMP.1524.SP.FE.ZSSL.EMP.1524.SP.MA.ZSSL.EMP.1524.SP.ZSSL.EMP.INSV.FE.ZSSL.EMP.MPYR.FE.ZSSL.EMP.MPYR.MA.ZSSL.EMP.MPYR.ZSSL.EMP.SELF.FE.ZSSL.EMP.SELF.MA.ZSSL.EMP.SELF.ZSSL.EMP.TOTL.SP.FE.ZSSL.EMP.TOTL.SP.MA.ZSSL.EMP.TOTL.SP.ZSSL.EMP.VULN.FE.ZSSL.EMP.VULN.MA.ZSSL.EMP.VULN.ZSSL.EMP.WORK.FE.ZSSL.EMP.WORK.MA.ZSSL.EMP.WORK.ZSSL.FAM.WORK.FE.ZSSL.FAM.WORK.MA.ZSSL.FAM.WORK.ZSSL.GDP.PCAP.EM.KDSL.IND.EMPL.FE.ZSSL.IND.EMPL.MA.ZSSL.IND.EMPL.ZSSL.MNF.0714.FE.ZS

Page 29: POL Country MetaData en EXCEL

SL.MNF.0714.MA.ZSSL.MNF.0714.ZSSL.MNF.WAGE.FMSL.SRV.0714.FE.ZSSL.SRV.0714.MA.ZSSL.SRV.0714.ZSSL.SRV.EMPL.FE.ZSSL.SRV.EMPL.MA.ZSSL.SRV.EMPL.ZSSL.TLF.0714.FE.ZSSL.TLF.0714.MA.ZSSL.TLF.0714.SW.FE.ZSSL.TLF.0714.SW.MA.ZSSL.TLF.0714.SW.ZSSL.TLF.0714.WK.FE.ZSSL.TLF.0714.WK.MA.ZSSL.TLF.0714.WK.ZSSL.TLF.0714.ZSSL.TLF.CACT.FE.ZSSL.TLF.CACT.MA.ZSSL.TLF.CACT.ZSSL.TLF.PART.FE.ZSSL.TLF.PART.MA.ZSSL.TLF.PART.TL.FE.ZSSL.TLF.PART.ZSSL.TLF.PRIM.FE.ZSSL.TLF.PRIM.MA.ZSSL.TLF.PRIM.ZSSL.TLF.SECO.FE.ZSSL.TLF.SECO.MA.ZSSL.TLF.SECO.ZSSL.TLF.TERT.FE.ZSSL.TLF.TERT.MA.ZSSL.TLF.TERT.ZSSL.TLF.TOTL.FE.ZSSL.TLF.TOTL.INSL.UEM.1524.FE.ZSSL.UEM.1524.MA.ZSSL.UEM.1524.ZSSL.UEM.LTRM.FE.ZSSL.UEM.LTRM.MA.ZSSL.UEM.LTRM.ZSSL.UEM.PRIM.FE.ZSSL.UEM.PRIM.MA.ZSSL.UEM.PRIM.ZSSL.UEM.SECO.FE.ZSSL.UEM.SECO.MA.ZSSL.UEM.SECO.ZSSL.UEM.TERT.FE.ZSSL.UEM.TERT.MA.ZSSL.UEM.TERT.ZSSL.UEM.TOTL.FE.ZSSL.UEM.TOTL.MA.ZSSL.UEM.TOTL.ZSSM.EMI.TERT.ZSSM.POP.NETM -828585SM.POP.REFG

Page 30: POL Country MetaData en EXCEL

SM.POP.REFG.ORSM.POP.TOTL 2424881SM.POP.TOTL.ZS 8.202973512SN.ITK.DEFC.ZSSN.ITK.DPTHSN.ITK.SALT.ZSSN.ITK.VITA.ZSSP.ADO.TFRTSP.DTH.INFR.ZSSP.DTH.REPT.ZSSP.DYN.AMRT.FE 121.8333935 119.9173422 120.8964713 117.4556026 113.5333523SP.DYN.AMRT.MA 207.7369773 209.3218424 210.990502 206.5181315 198.1171303SP.DYN.CBRT.IN 22.6 20.9 19.8 19.2 18.1SP.DYN.CDRT.IN 7.6 7.6 7.9 7.5 7.6SP.DYN.CONU.ZSSP.DYN.IMRT.IN 58.4 54.3 50.5 47 43.8SP.DYN.LE00.FE.IN 70.6 70.8 70.5 71.5 71.6SP.DYN.LE00.IN 67.6804878 67.77804878 67.42682927 68.37560976 68.62926829SP.DYN.LE00.MA.IN 64.9 64.9 64.5 65.4 65.8SP.DYN.TFRT.IN 2.98 2.83 2.72 2.697 2.57SP.DYN.TO65.FE.ZSSP.DYN.TO65.MA.ZSSP.DYN.WFRTSP.HOU.FEMA.ZSSP.MTR.1519.ZSSP.POP.0014.TO.ZS 33.67143479 33.5987718 33.26957002 32.73259424 32.05862431SP.POP.1564.TO.ZS 60.57927667 60.48655034 60.60431781 60.89702972 61.31141146SP.POP.65UP.TO.ZS 5.749288542 5.914677857 6.126112169 6.370376049 6.629964232SP.POP.DPND 65.07295152 65.32600956 65.00474489 64.21162159 63.1017744SP.POP.DPND.OL 9.490520288 9.778500879 10.10837576 10.46089781 10.8135893SP.POP.DPND.YG 55.58243123 55.54750868 54.89636914 53.75072378 52.2881851SP.POP.GROW 1.605308615 1.357410805 1.190944353 1.202997305 1.519785995SP.POP.SCIE.RD.P6SP.POP.TECH.RD.P6SP.POP.TOTL 29561000 29965000 30324000 30691000 31161000SP.POP.TOTL.FE.ZS 52.22672985 52.1839352 52.09027498 51.96655211 51.84164191SP.REG.BRTH.RU.ZSSP.REG.BRTH.UR.ZSSP.REG.BRTH.ZSSP.RUR.TOTL 15401281 15479919 15531952.8 15584889.8 15686447.4SP.RUR.TOTL.ZG -0.182830996 0.509294781 0.335573739 0.340246932 0.649527434SP.RUR.TOTL.ZS 52.1 51.66 51.22 50.78 50.34SP.URB.GROW 3.587241606 2.271797976 2.09704618 2.100962599 2.409759603SP.URB.TOTL 14159719 14485081 14792047.2 15106110.2 15474552.6SP.URB.TOTL.IN.ZS 47.9 48.34 48.78 49.22 49.66SP.UWT.TFRTST.INT.ARVLST.INT.DPRTST.INT.RCPT.CDST.INT.RCPT.XP.ZSST.INT.TRNR.CDST.INT.TRNX.CDST.INT.TVLR.CDST.INT.TVLX.CDST.INT.XPND.CDST.INT.XPND.MP.ZSTG.VAL.TOTL.GD.ZS

Page 31: POL Country MetaData en EXCEL

TM.QTY.MRCH.XD.WDTM.TAX.MANF.BC.ZSTM.TAX.MANF.BR.ZSTM.TAX.MANF.IP.ZSTM.TAX.MANF.SM.AR.ZSTM.TAX.MANF.SM.FN.ZSTM.TAX.MANF.SR.ZSTM.TAX.MANF.WM.AR.ZSTM.TAX.MANF.WM.FN.ZSTM.TAX.MRCH.BC.ZSTM.TAX.MRCH.BR.ZSTM.TAX.MRCH.IP.ZSTM.TAX.MRCH.SM.AR.ZSTM.TAX.MRCH.SM.FN.ZSTM.TAX.MRCH.SR.ZSTM.TAX.MRCH.WM.AR.ZSTM.TAX.MRCH.WM.FN.ZSTM.TAX.TCOM.BC.ZSTM.TAX.TCOM.BR.ZSTM.TAX.TCOM.IP.ZSTM.TAX.TCOM.SM.AR.ZSTM.TAX.TCOM.SM.FN.ZSTM.TAX.TCOM.SR.ZSTM.TAX.TCOM.WM.AR.ZSTM.TAX.TCOM.WM.FN.ZSTM.VAL.AGRI.ZS.UNTM.VAL.FOOD.ZS.UNTM.VAL.FUEL.ZS.UNTM.VAL.ICTG.ZS.UNTM.VAL.INSF.ZS.WTTM.VAL.MANF.ZS.UNTM.VAL.MMTL.ZS.UNTM.VAL.MRCH.AL.ZS 0 0 0 0TM.VAL.MRCH.CD.WT 1495000000 1687000000 1885000000 1979000000 2072000000TM.VAL.MRCH.HI.ZS 0 0 0 0TM.VAL.MRCH.OR.ZS 0 0 0 0TM.VAL.MRCH.R1.ZS 0 0 0 0TM.VAL.MRCH.R2.ZSTM.VAL.MRCH.R3.ZS 0 0 0 0TM.VAL.MRCH.R4.ZS 0 0 0 0TM.VAL.MRCH.R5.ZS 0 0 0 0TM.VAL.MRCH.R6.ZS 0 0 0 0TM.VAL.MRCH.RS.ZS 100 100 100 100TM.VAL.MRCH.WL.CD 4290000 7370000 9900000 6710000TM.VAL.MRCH.WR.ZSTM.VAL.MRCH.XD.WDTM.VAL.OTHR.ZS.WTTM.VAL.SERV.CD.WTTM.VAL.TRAN.ZS.WTTM.VAL.TRVL.ZS.WTTT.PRI.MRCH.XD.WDTX.QTY.MRCH.XD.WDTX.VAL.AGRI.ZS.UNTX.VAL.FOOD.ZS.UNTX.VAL.FUEL.ZS.UNTX.VAL.ICTG.ZS.UNTX.VAL.INSF.ZS.WT

Page 32: POL Country MetaData en EXCEL

TX.VAL.MANF.ZS.UNTX.VAL.MMTL.ZS.UNTX.VAL.MRCH.AL.ZS 0 0 0 0TX.VAL.MRCH.CD.WT 1326000000 1503500000 1646250000 1770000000 2096500000TX.VAL.MRCH.HI.ZS 0 0 0 0TX.VAL.MRCH.OR.ZS 0 0 0 0TX.VAL.MRCH.R1.ZS 0 0 0 0TX.VAL.MRCH.R2.ZSTX.VAL.MRCH.R3.ZS 0 0 0 0TX.VAL.MRCH.R4.ZS 0 0 0 0TX.VAL.MRCH.R5.ZS 0 0 0 0TX.VAL.MRCH.R6.ZS 0 0 0 0TX.VAL.MRCH.RS.ZS 100 100 100 100TX.VAL.MRCH.WL.CD 4500000 8800000 7800000 6400000TX.VAL.MRCH.WR.ZSTX.VAL.MRCH.XD.WDTX.VAL.OTHR.ZS.WTTX.VAL.SERV.CD.WTTX.VAL.TECH.CDTX.VAL.TECH.MF.ZSTX.VAL.TRAN.ZS.WTTX.VAL.TRVL.ZS.WTVC.BTL.DETH 0 0 0 0 0VC.IDP.TOTL.HEVC.IDP.TOTL.LEVC.IHR.ICTS.P5VC.IHR.IPBH.P5VC.IHR.IPOL.P5VC.IHR.NPOL.P5VC.PKP.TOTL.UNAG.AGR.TRAC.NO 71577 83341 96021 106789AG.CON.FERT.PT.ZSAG.CON.FERT.ZSAG.LND.AGRI.K2 203220 202620 201840 201300AG.LND.AGRI.ZS 66.69948799 66.50256006 66.24655376 66.06931863AG.LND.ARBL.HA 15944000 15829000 15733000 15701000AG.LND.ARBL.HA.PC 0.532087435 0.521995779 0.512625851 0.503867013AG.LND.ARBL.ZS 52.33031377 51.95286858 51.6377839 51.53275568AG.LND.CREL.HA 9045900 8777800 8838100 8767700AG.LND.CROP.ZS 0.761454641 0.784429565 0.781147433 0.79099383AG.LND.EL5M.ZSAG.LND.FRST.K2AG.LND.FRST.ZSAG.LND.IRIG.AG.ZSAG.LND.PRCP.MM 600AG.LND.TOTL.K2 304680 304680 304680 304680AG.LND.TRAC.ZS 44.89274962 52.65083075 61.03158965 68.01413923AG.PRD.CREL.MT 16123000 14045000 15178000 14092000AG.PRD.CROP.XD 99 81 97 105AG.PRD.FOOD.XD 81 76 80 84AG.PRD.LVSK.XD 82 83 80 81AG.SRF.TOTL.K2 312690 312690 312690 312690AG.YLD.CREL.KG 1782.3 1600 1717.3 1607.2BG.GSR.NFSV.GD.ZSBM.GSR.CMCP.ZSBM.GSR.FCTY.CDBM.GSR.GNFS.CD

Page 33: POL Country MetaData en EXCEL

BM.GSR.INSF.ZSBM.GSR.MRCH.CDBM.GSR.NFSV.CDBM.GSR.ROYL.CDBM.GSR.TOTL.CDBM.GSR.TRAN.ZSBM.GSR.TRVL.ZSBM.KLT.DINV.GD.ZSBM.TRF.PRVT.CDBM.TRF.PWKR.CD.DTBN.CAB.XOKA.CDBN.CAB.XOKA.GD.ZSBN.GSR.FCTY.CDBN.GSR.GNFS.CDBN.GSR.MRCH.CDBN.KAC.EOMS.CDBN.KLT.DINV.CDBN.KLT.PRVT.CDBN.KLT.PRVT.GD.ZSBN.KLT.PTXL.CDBN.RES.INCL.CDBN.TRF.CURR.CDBN.TRF.KOGT.CDBX.GSR.CCIS.CDBX.GSR.CCIS.ZSBX.GSR.CMCP.ZSBX.GSR.FCTY.CDBX.GSR.GNFS.CDBX.GSR.INSF.ZSBX.GSR.MRCH.CDBX.GSR.NFSV.CDBX.GSR.ROYL.CDBX.GSR.TOTL.CDBX.GSR.TRAN.ZSBX.GSR.TRVL.ZSBX.KLT.DINV.CD.WDBX.KLT.DINV.WD.GD.ZSBX.PEF.TOTL.CD.WDBX.TRF.CURR.CDBX.TRF.PWKR.CDBX.TRF.PWKR.CD.DTBX.TRF.PWKR.DT.GD.ZSCM.FIN.INTL.GD.ZSCM.MKT.INDX.ZGCM.MKT.LCAP.CDCM.MKT.LCAP.GD.ZSCM.MKT.LDOM.NOCM.MKT.TRAD.CDCM.MKT.TRAD.GD.ZSCM.MKT.TRNRDC.DAC.AUSL.CDDC.DAC.AUTL.CDDC.DAC.BELL.CDDC.DAC.CANL.CDDC.DAC.CECL.CDDC.DAC.CHEL.CDDC.DAC.DEUL.CD

Page 34: POL Country MetaData en EXCEL

DC.DAC.DNKL.CDDC.DAC.ESPL.CDDC.DAC.FINL.CDDC.DAC.FRAL.CDDC.DAC.GBRL.CDDC.DAC.GRCL.CDDC.DAC.IRLL.CDDC.DAC.ITAL.CDDC.DAC.JPNL.CDDC.DAC.KORL.CDDC.DAC.LUXL.CDDC.DAC.NLDL.CDDC.DAC.NORL.CDDC.DAC.NZLL.CDDC.DAC.PRTL.CDDC.DAC.SWEL.CDDC.DAC.TOTL.CDDC.DAC.USAL.CDDT.DOD.DECT.CDDT.DOD.DECT.GN.ZSDT.DOD.DIMF.CDDT.DOD.DLXF.CDDT.DOD.DPNG.CDDT.DOD.DPPG.CDDT.DOD.DSTC.CDDT.DOD.DSTC.IR.ZSDT.DOD.DSTC.XP.ZSDT.DOD.DSTC.ZSDT.DOD.MWBG.CDDT.DOD.PVLX.CDDT.DOD.PVLX.EX.ZSDT.DOD.PVLX.GN.ZSDT.NFL.BLAT.CDDT.NFL.BOND.CDDT.NFL.IAEA.CDDT.NFL.IFAD.CDDT.NFL.IMFC.CDDT.NFL.IMFN.CDDT.NFL.MIBR.CDDT.NFL.MIDA.CDDT.NFL.MLAT.CDDT.NFL.MOTH.CDDT.NFL.PCBO.CDDT.NFL.RDBC.CDDT.NFL.RDBN.CDDT.NFL.UNAI.CDDT.NFL.UNCF.CDDT.NFL.UNCR.CDDT.NFL.UNDP.CDDT.NFL.UNEC.CDDT.NFL.UNFP.CDDT.NFL.UNRW.CDDT.NFL.UNTA.CDDT.NFL.WFPG.CDDT.NFL.WHOL.CDDT.ODA.ALLD.CDDT.ODA.ALLD.KD

Page 35: POL Country MetaData en EXCEL

DT.ODA.OATL.CDDT.ODA.OATL.KDDT.ODA.ODAT.CDDT.ODA.ODAT.GI.ZSDT.ODA.ODAT.GN.ZSDT.ODA.ODAT.KDDT.ODA.ODAT.MP.ZSDT.ODA.ODAT.PC.ZSDT.ODA.ODAT.XP.ZSDT.TDS.DECT.CDDT.TDS.DECT.EX.ZSDT.TDS.DECT.GN.ZSDT.TDS.DPPF.XP.ZSDT.TDS.DPPG.CDDT.TDS.DPPG.GN.ZSDT.TDS.DPPG.XP.ZSDT.TDS.MLAT.CDDT.TDS.MLAT.PG.ZSEA.PRD.AGRI.KDEE.BOD.CGLS.ZSEE.BOD.CHEM.ZSEE.BOD.FOOD.ZSEE.BOD.MTAL.ZSEE.BOD.OTHR.ZSEE.BOD.PAPR.ZSEE.BOD.TOTL.KGEE.BOD.TXTL.ZSEE.BOD.WOOD.ZSEE.BOD.WRKR.KGEG.EGY.PROD.KT.OE 64808.579 66798.877 68730.62 71340.784 75725.353EG.ELC.ACCS.ZSEG.ELC.COAL.KH 28539000000 31130000000 33910000000 35512000000 38813000000EG.ELC.COAL.ZS 97.46260501 96.55707196 95.88847415 96.13166942 95.6220744EG.ELC.FOSL.ZS 97.80069667 98.06761787 97.78588395 98.17276197 98.17935452EG.ELC.HYRO.KH 632000000 604000000 754000000 647000000 705000000EG.ELC.HYRO.ZS 2.158322519 1.873449132 2.132111752 1.751441488 1.736881005EG.ELC.LOSS.KH 2800000000 2956000000 3165000000 3353000000 3712000000EG.ELC.LOSS.ZS 9.562188375 9.168734491 8.949779437 9.076635716 9.145109633EG.ELC.NGAS.KH 68000000 432000000 591000000 613000000 724000000EG.ELC.NGAS.ZS 0.232224575 1.339950372 1.671191042 1.659402832 1.783690564EG.ELC.NUCL.KH 0 0 0 0 0EG.ELC.NUCL.ZS 0 0 0 0 0EG.ELC.PETR.KH 31000000 55000000 80000000 141000000 314000000EG.ELC.PETR.ZS 0.105867086 0.170595533 0.226218754 0.381689721 0.773589554EG.ELC.PROD.KH 29282000000 32240000000 35364000000 36941000000 40590000000EG.ELC.RNEW.KH 642000000 615000000 772000000 661000000 721000000EG.ELC.RNWX.KH 10000000 11000000 18000000 14000000 16000000EG.ELC.RNWX.ZS 0.034150673 0.034119107 0.05089922 0.03789827 0.039418576EG.GDP.PUSE.KO.PPEG.GDP.PUSE.KO.PP.KDEG.IMP.CONS.ZS -19.62481138 -17.69713059 -14.71377777 -17.06822124 -19.69979637EG.USE.COMM.CL.ZS 0.100323875 0.091523391 0.108226875 0.091306958 0.095838426EG.USE.COMM.FO.ZS 98.24694034 98.30410032 98.39619635 98.42102239 98.5186664EG.USE.COMM.GD.PP.KDEG.USE.COMM.KT.OE 54176.536 56754.89 59914.878 60939.496 63262.725EG.USE.CRNW.KT.OE 869.423 884.419 898.222 910.879 924.49EG.USE.CRNW.ZS 1.604796217 1.558313301 1.49916353 1.494726835 1.461350266

Page 36: POL Country MetaData en EXCEL

EG.USE.ELEC.KH 26809000000 29602000000 32193000000 33559000000 36341000000EG.USE.ELEC.KH.PC 906.9043672 987.8858668 1061.634349 1093.44759 1166.233433EG.USE.PCAP.KG.OE 1832.703089 1894.039379 1975.823704 1985.581962 2030.189179EN.ATM.CO2E.EG.ZS 3.687337245 3.654924818 3.618717908 3.794239093 3.842938571EN.ATM.CO2E.GF.KT 1470.467 1855.502 2079.189 2343.213 2684.244EN.ATM.CO2E.GF.ZS 0.73609046 0.894498657 0.958968982 1.013417071 1.104105705EN.ATM.CO2E.KD.GDEN.ATM.CO2E.KT 199767.159 207434.856 216815.042 231219.018 243114.766EN.ATM.CO2E.LF.KT 5984.544 6967.3 8547.777 9402.188 11235.688EN.ATM.CO2E.LF.ZS 2.995759678 3.358789422 3.942428035 4.066355822 4.621557211EN.ATM.CO2E.PC 6.757794357 6.922571533 7.149948622 7.533772702 7.801892301EN.ATM.CO2E.PP.GDEN.ATM.CO2E.PP.GD.KDEN.ATM.CO2E.SF.KT 189022.849 194941.387 202425.734 215648.936 224823.77EN.ATM.CO2E.SF.ZS 94.62158342 93.97716023 93.36332578 93.26608938 92.47639446EN.ATM.GHGO.KT.CEEN.ATM.HFCG.KT.CEEN.ATM.METH.AG.KT.CEEN.ATM.METH.AG.ZSEN.ATM.METH.EG.KT.CEEN.ATM.METH.EG.ZSEN.ATM.METH.KT.CEEN.ATM.NOXE.AG.KT.CEEN.ATM.NOXE.AG.ZSEN.ATM.NOXE.EG.KT.CEEN.ATM.NOXE.EI.ZSEN.ATM.NOXE.IN.KT.CEEN.ATM.NOXE.KT.CEEN.ATM.PFCG.KT.CEEN.ATM.PM10.MC.M3EN.ATM.SF6G.KT.CEEN.BIR.THRD.NOEN.CLC.DRSK.XQEN.CLC.GHGR.MT.CEEN.CLC.MDAT.ZSEN.CO2.BLDG.MT 45.99 44.26 46.94 45.87 47.38EN.CO2.ETOT.MT 78.81 86.39 90.66 92.9 98.71EN.CO2.MANF.MT 37.04 38.84 42.51 42.76 43.92EN.CO2.OTHX.MT 3 3.16 3.03 3.26 3.38EN.CO2.TRAN.MT 25.81 26.09 27.4 28.04 27.61EN.FSH.THRD.NOEN.HPT.THRD.NOEN.MAM.THRD.NOEN.POP.DNST 98.34908757 99.52737298 100.7319155 102.2745175EN.POP.EL5M.ZSEN.URB.LCTY 1119181 1145117 1161377 1177868 1194617EN.URB.LCTY.UR.ZS 7.903977473 7.905492555 7.851360831 7.797295163 7.719880703EN.URB.MCTY 1119181 1145117 1161377 1177868 1194617EN.URB.MCTY.TL.ZS 3.78600521 3.821515101 3.829893813 3.837828679 3.833692757EP.PMP.DESL.CDEP.PMP.SGAS.CDER.BDV.TOTL.XQER.GDP.FWTL.M3.KDER.H2O.FWAG.ZSER.H2O.FWDM.ZSER.H2O.FWIN.ZSER.H2O.FWTL.K3

Page 37: POL Country MetaData en EXCEL

ER.H2O.FWTL.ZSER.H2O.INTR.K3ER.H2O.INTR.PCER.LND.PTLD.ZSER.MRN.PTMR.ZSFB.AST.LOAN.CB.P3FB.AST.LOAN.CO.P3FB.AST.LOAN.MF.P3FB.AST.LOAN.SF.P3FB.AST.NPER.ZSFB.ATM.TOTL.P5FB.BNK.BRCH.CB.P5FB.BNK.BRCH.CO.P5FB.BNK.BRCH.MF.P5FB.BNK.BRCH.SF.P5FB.BNK.CAPA.ZSFB.LBL.DDPT.CB.P3FB.LBL.DDPT.CO.P3FB.LBL.DDPT.MF.P3FB.LBL.DDPT.SF.P3FB.POS.TOTL.P5FD.RES.LIQU.AS.ZSFI.RES.TOTL.CDFI.RES.TOTL.DT.ZSFI.RES.TOTL.MOFI.RES.XGLD.CDFM.AST.CGOV.ZG.M3FM.AST.DOMO.ZG.M3FM.AST.DOMS.CNFM.AST.NFRG.CNFM.AST.PRVT.ZG.M3FM.LBL.BMNY.CNFM.LBL.BMNY.GD.ZSFM.LBL.BMNY.IR.ZSFM.LBL.BMNY.ZGFM.LBL.MONY.CNFM.LBL.MQMY.CNFM.LBL.MQMY.GD.ZSFM.LBL.MQMY.IR.ZSFM.LBL.MQMY.ZGFM.LBL.QMNY.CNFP.CPI.TOTLFP.CPI.TOTL.ZGFP.WPI.TOTLFR.INR.DPSTFR.INR.LENDFR.INR.LNDPFR.INR.RINRFR.INR.RISKFS.AST.CGOV.GD.ZSFS.AST.DOMO.GD.ZSFS.AST.DOMS.GD.ZSFS.AST.PRVT.GD.ZSFS.LBL.LIQU.GD.ZSFS.LBL.QLIQ.GD.ZSGB.XPD.RSDV.GD.ZSGC.BAL.CASH.CN

Page 38: POL Country MetaData en EXCEL

GC.BAL.CASH.GD.ZSGC.DOD.TOTL.CNGC.DOD.TOTL.GD.ZSGC.FIN.DOMS.CNGC.FIN.DOMS.GD.ZSGC.FIN.FRGN.CNGC.FIN.FRGN.GD.ZSGC.REV.GOTR.CNGC.REV.GOTR.ZSGC.REV.SOCL.CNGC.REV.SOCL.ZSGC.REV.XGRT.CNGC.REV.XGRT.GD.ZSGC.TAX.EXPT.CNGC.TAX.EXPT.ZSGC.TAX.GSRV.CNGC.TAX.GSRV.RV.ZSGC.TAX.GSRV.VA.ZSGC.TAX.IMPT.CNGC.TAX.IMPT.ZSGC.TAX.INTT.CNGC.TAX.INTT.RV.ZSGC.TAX.OTHR.CNGC.TAX.OTHR.RV.ZSGC.TAX.TOTL.CNGC.TAX.TOTL.GD.ZSGC.TAX.YPKG.CNGC.TAX.YPKG.RV.ZSGC.TAX.YPKG.ZSGC.XPN.COMP.CNGC.XPN.COMP.ZSGC.XPN.GSRV.CNGC.XPN.GSRV.ZSGC.XPN.INTP.CNGC.XPN.INTP.RV.ZSGC.XPN.INTP.ZSGC.XPN.OTHR.CNGC.XPN.OTHR.ZSGC.XPN.TOTL.CNGC.XPN.TOTL.GD.ZSGC.XPN.TRFT.CNGC.XPN.TRFT.ZSIC.BUS.DISC.XQIC.BUS.EASE.XQIC.BUS.NDNS.ZSIC.BUS.NREGIC.CRD.INFO.XQIC.CRD.PRVT.ZSIC.CRD.PUBL.ZSIC.CUS.DURS.EXIC.ELC.DURS

Page 39: POL Country MetaData en EXCEL

1965 1966 1967 1968 1969 1970 1971

1011 1441 1641 1931 2050 1987 19034117 4527 4535 4585 4896 5493 5422

394 575 571 728 591 632 546329 362 372 367 304 379 247723 937 943 1095 895 1011 793

Page 40: POL Country MetaData en EXCEL

29500 294006.199999809 6.5

904000 1031200470 695 670 950 1180 1244 1458

0.01492253 0.021925674 0.020974205 0.029407213 0.036246352 0.038246326 0.044444444

1751 2061 2378 2896 3040 3232 34400.055594361 0.065019875 0.074442775 0.089645566 0.093380433 0.099366661 0.1048620642.666849432 3.038657742 3.380674145 3.915524188 3.830452094 3.880231469 3.994240862

1211 1288 1614 1836 1750 1871 18620.038449327 0.040633478 0.05052592 0.056833308 0.053755184 0.057523212 0.05675964

0 00 0

784000 10700002.489204978 3.289675952

Page 41: POL Country MetaData en EXCEL

1163000000 985000000 756000000 863000000 950000000 967000000 941000000

190000000 262000000 265000000 244000000 279000000 224000000 227000000

Page 42: POL Country MetaData en EXCEL

3.805392221 3.771214631

Page 43: POL Country MetaData en EXCEL

0.0004 0.0004 0.0004 0.0004 0.0004 0.0004 0.000389333

92.49936.54226

7 7

97.211846 6

3860758

101.96514

Page 44: POL Country MetaData en EXCEL

97.51069713

5.65565

136

73.94373

13.176912.6573513.68373

Page 45: POL Country MetaData en EXCEL

8.660075356

46.2 43.6 41.4 39.3 37.4 35.6 34

5.199999809

1.2 1.3 1.3 1.4 1.4 1.4 1.5

3.700000048 4 4.099999905 4.099999905 4.5 4.9 5.4

Page 46: POL Country MetaData en EXCEL

316588 17840

Page 47: POL Country MetaData en EXCEL

2249668 20880277.142710185 6.419562811

111.2969312 109.7172151 107.7126552 105.6458556 108.8174855 104.331935 105.981438197.028109 196.2607943 202.8393929 201.8272599 207.8152567 205.115541 213.6473986

17.4 16.8 16.3 16.2 16.3 16.8 17.27.4 7.4 7.8 7.6 8.1 8.3 8.7

41.2 38.9 36.8 34.9 33.2 31.6 3072.4 72.9 72.6 73.6 73.1 73.3 73.3

69.42926829 69.82682927 69.42439024 70.2195122 69.7195122 69.86829268 69.6121951266.6 66.9 66.4 67 66.5 66.6 66.12.52 2.34 2.33 2.24 2.2 2.2 2.25

31.3022127 30.47289562 29.57418378 28.64639065 27.73809546 26.88952653 26.1164342761.80484622 62.37140964 63.00534304 63.66517149 64.30009589 64.87013043 65.362946336.892941084 7.155694741 7.420473172 7.688437861 7.961808648 8.240343039 8.52061939461.79960977 60.32987002 58.71669793 57.07175157 55.5207634 54.15415282 52.9918793611.15275178 11.47271608 11.77752999 12.07636402 12.38226559 12.702831 13.0358557450.64685799 48.85715394 46.93916794 44.99538755 43.13849781 41.45132182 39.956023621.069324005 0.639303337 0.773078186 1.123764654 0.770894919 -0.089119713 0.854117275

31496000 31698000 31944000 32305000 32555000 32526000 3280500051.73535787 51.65129534 51.58315898 51.52828676 51.48153348 51.43927168 51.40181226

15716504 15690510 15684504 15732535 15724065 15579954 155036430.191425378 -0.165529941 -0.038285242 0.305764254 -0.053851975 -0.920725342 -0.491005937

49.9 49.5 49.1 48.7 48.3 47.9 47.261.951446874 1.434536196 1.562036963 1.906547587 1.547597902 0.681597006 2.075040546

15779496 16007490 16259496 16572465 16830935 16946046 1730135750.1 50.5 50.9 51.3 51.7 52.1 52.74

Page 48: POL Country MetaData en EXCEL

0.884257743 0.9902149292340000000 2494000000 2645000000 2853000000 3210000000 3608000000 4038000000

48.8103218 51.7167778246.60761535 44.045651660.676360154 0.51694713

0.527429882 0.494206860.884257743 0.9902149290.923065292 0.730615608

0 04.582062848 4.2375705293968300000 4441460000

Page 49: POL Country MetaData en EXCEL

1.910549741 1.3455543762227750000 2272000000 2526500000 2857750000 3141500000 3547600000 3872300000

46.60551855 47.8397524845.3461004 46.65948693

0.741331635 0.963323958

0.606031564 1.0095531781.910549741 1.3455543760.880296082 1.10769342

0 08.04838105 5.500760587

3547670000 3872010000

0 0 0 0 0 0 0

131000 136689 151168 170863 192723 224531 248387

199460 199470 198190 197770 195570 195430 19508065.46540633 65.46868846 65.04857555 64.91072601 64.18865695 64.1427071 64.02783248

15437000 15436000 15291000 15265000 15104000 15088000 149800000.49012573 0.486970787 0.478681443 0.472527473 0.46395331 0.463875054 0.456637708

50.66627281 50.66299068 50.18708153 50.10174609 49.57332283 49.52080872 49.166338458505800 8380900 8409200 8457800 8669300 8346400 8452100

0.804122358 0.80740449 0.745043981 0.751608245 0.751608245 0.781147433 0.974793226

600304680 304680 304680 304680 304680 304680 304680

84.86104813 88.55208603 98.86076777 111.9312152 127.5973252 148.8142895 165.812416616162000 15795100 16265600 17946200 18574200 16262100 19870600

98 106 111 117 105 115 10085 90 92 94 88 94 8986 90 92 94 96 96 97

312690 312690 312690 312690 312690 312690 3126901900.1 1884.6 1934.2 2121.8 2142.5 1948.3 2350.9

Page 50: POL Country MetaData en EXCEL

77288.651 79870.838 81500.302 85849.885 91591.508 95762.473 99249.228

42224000000 45902000000 49756000000 53429000000 57045000000 59071000000 6391400000096.43264971 96.9316862 97.13984499 96.31879721 95.14477283 91.70094851 91.9136574897.84405975 97.94741844 97.97153511 98.02960105 98.3671359 97.05202043 97.50061119

896000000 896000000 957000000 1005000000 810000000 1771000000 15690000002.046316174 1.892091648 1.8683743 1.811757495 1.350990727 2.74927426 2.2563527334011000000 4120000000 4108000000 4407000000 4816000000 5567000000 5697000000

9.160462248 8.700242847 8.020147986 7.944691821 8.032557209 8.642128631 8.192760689341000000 198000000 52000000 487000000 1445000000 2038000000 2284000000

0.77878774 0.418118467 0.101520861 0.877936219 2.410100741 3.163761119 3.2845823090 0 0 0 0 0 00 0 0 0 0 0 0

277000000 283000000 374000000 462000000 487000000 1409000000 16010000000.632622299 0.597613768 0.730169267 0.832867625 0.812262326 2.187310803 2.302371399

43786000000 47355000000 51221000000 55471000000 59956000000 64417000000 69537000000922000000 934000000 1001000000 1052000000 894000000 1830000000 1670000000

26000000 38000000 44000000 47000000 84000000 59000000 1010000000.05937971 0.080244958 0.085902267 0.084728957 0.140102742 0.091590729 0.145246416

-17.71483717 -17.75907669 -15.86440389 -16.07271362 -15.40640138 -14.96909505 -15.23934650.117360497 0.113608967 0.117004133 0.116857054 0.087772438 0.182853287 0.15667331998.48322493 98.38043529 98.31814982 98.32663484 98.30940029 98.51605336 98.40006136

65657.527 67825.632 70341.105 73962.159 79364.322 83294.1 86124.428957.779 1032.69 1072.952 1123.363 1258.571 1079.089 1249.282

1.458749733 1.522565982 1.525355622 1.518834787 1.585814593 1.295516729 1.450554772

Page 51: POL Country MetaData en EXCEL

39338000000 43135000000 47471000000 51437000000 55394000000 59019000000 641170000001248.983998 1360.811408 1486.069371 1592.230305 1701.551221 1814.517617 1954.4886452084.630652 2139.744842 2202.013054 2289.495713 2437.85354 2560.846707 2625.3445513.765323144 3.725410211 3.686074721 3.732635252 3.700067645 3.655020872 3.637134647

3153.62 3766.009 4734.097 6281.571 8687.123 10923.993 11331.031.275623721 1.490436247 1.825844683 2.275323433 2.958291708 3.588205536 3.617292767

247221.806 252678.302 259282.569 276073.762 293653.36 304441.674 313246.14113516.562 14781.677 16138.467 19468.103 20689.214 25742.34 27344.819

5.467382598 5.849998549 6.224277653 7.051775895 7.045454546 8.455590085 8.7294990817.849308039 7.971427282 8.116784654 8.545852407 9.020223007 9.359948165 9.548731626

225777.19 229121.494 232858.167 244533.895 258380.487 261699.122 268046.69991.3257587 90.67715438 89.80864695 88.57556518 87.98826174 85.96034786 85.57063086

47.96 44.64 42.93 41.23 49.27 55.26 53.14104.14 110.3 117.38 127.6 137.09 137.42 145.86

46.5 48.63 51.22 51.97 53.9 53.23 54.663.47 3.55 3.55 3.83 4.31 4.81 5.27

26.81 27.25 27.47 28.31 28.39 28.47 27.74

103.3740318 104.0370224 104.8444269 106.0292766 106.8498096 106.7546278 107.6703427

1211556 1228760 1246208 1263928 1281850 1300052 13241167.678039907 7.676156599 7.664493414 7.626674728 7.616035592 7.671712918 7.653249395

1211556 1228760 1246208 1263928 1281850 1300052 13241163.846697993 3.876459083 3.901227148 3.912484136 3.937490401 3.99696243 4.036323731

Page 52: POL Country MetaData en EXCEL

0.024559707 0.0248298641.099999999

Page 53: POL Country MetaData en EXCEL

1972 1973 1974 1975 1976 1977 1978

2124 2043 2558 2495 2212 2023 17845277 5693 6672 6691 6593 6641 7030

554 732 851 763 758 720 679373 416 376 289 260 299 260927 1148 1227 1052 1018 1019 939

Page 54: POL Country MetaData en EXCEL

32100 35200 30800 36900 38200 41000 415007.599999905 9.5 10.30000019 10.19999981 10.60000038 11.80000019 14.39999962

1267000 1491000 1086800 1454500 1472400 1643200 17023001707 1943 2030 2333 2430 2627 2799

0.051620902 0.058238168 0.06025348 0.068573276 0.070717653 0.075710416 0.079948586

3927 4419 4451 4994 5222 5738 61320.118755292 0.132452118 0.132112434 0.146787373 0.1519702 0.165369762 0.1751499574.410080183 4.75785439 4.585398016 4.846379287 4.813125029 5.086789241 5.0273009

2084 2324 2270 2493 2616 2917 31250.063021652 0.069658004 0.067377044 0.073276115 0.076130609 0.084068246 0.089260211

0 0 0 00 0 0 0

1386000 1568000 1671000 17600004.073834578 4.563180257 4.81583953 5.027135104

Page 55: POL Country MetaData en EXCEL

918000000 1215000000 1149000000 1069000000 875000000 917000000 1075000000

228000000 158000000 228000000 286000000 381000000 349000000 280000000

Page 56: POL Country MetaData en EXCEL

3.771214631 3.771214631 3.771214631 3.73703704 3.527854763 3.527854763 3.527854763

Page 57: POL Country MetaData en EXCEL

0.000368 0.000335 0.000332 0.000332 0.000332 0.000332 0.000581

99.81581493100.037160899.7787363699.7968306998.2519799599.2751665798.74274091

95.33 96.139 95.82699.399 99.629 99.19

104.337 103.644 102.90491.493 101.308 109.591 117.309 122.549 128.191 127.88

39.03144 45.14094 51.05408 53.74593 53.09158 54.6405 55.47417

7 7 7 7 7 7 7

95.39802 93.49546 96.53249 97.52276 100.11118 100.83882 100.664126 6 6 6 6 6 6

3675922 3516830 3374714 3245444 3162521 3102439 3075744

101.01084 100.98953 101.32524 101.36029 101.70788 101.42939 100.9343498.54479 98.95904 99.11928

103.37215 102.93318 103.43625

Page 58: POL Country MetaData en EXCEL

97.84603008

5.89341 5.81083 4.01358 2.46333 2.62022 2.75377 2.80579

136

50.07585 49.89605 49.7004

75.84975 76.78941 77.87319 79.1566 79.39762 80.02389 80.7184277.49206 78.19125 79.010774.27092 75.44247 76.78095

4.20599 4.38293 3.17984 2.51945 2.30873 2.24821 2.16267

12.56263 13.02344 14.20799 15.14348 16.54134 17.61113 17.9748111.99758 13.10927 14.8684 16.37098 18.24995 19.83375 20.225413.11312 12.93996 13.56718 13.95538 14.89201 15.47205 15.81593

Page 59: POL Country MetaData en EXCEL

32.4 31 29.6 28.3 27.2 26.3 25.5

1.5 1.5 1.6 1.6 1.6 1.7 1.7

8

5.7 6 6.1 6.2 6.1 6.3 6.4

Page 60: POL Country MetaData en EXCEL

-107626

Page 61: POL Country MetaData en EXCEL

18079795.314146729

100.8956579 100.8170742 99.43339287 101.0057383 102.1244263 102.3059935 103.0925721202.4720976 208.6674363 203.6689835 216.3399643 227.4352146 234.6176977 240.1238147

17.5 18 18.5 19 19.6 19.2 19.18.1 8.4 8.3 8.8 8.9 9.1 9.460 75

28.6 27.4 26 24.9 23.9 23.1 22.474.2 74.3 74.6 74.3 74.6 74.5 74.5

70.66585366 70.66341463 71.11707317 70.56097561 70.65609756 70.40243902 70.3512195167.3 67.2 67.8 67 66.9 66.5 66.4

2.235 2.255 2.26 2.27 2.302 2.23 2.205

25.42705201 24.84311 24.38506264 24.06444548 23.88477294 23.83672552 23.9003756765.77626758 66.09469064 66.30499474 66.40217561 66.37789481 66.24368124 66.039656238.796680415 9.06219936 9.309942613 9.533378914 9.737332253 9.919593234 10.059968152.03051751 51.29808316 50.81820063 50.59747528 50.65256331 50.9577942 51.4241680213.37363876 13.71093392 14.04108793 14.35702795 14.66954064 14.97439914 15.23322338.65687875 37.58714923 36.7771127 36.24044733 35.98302267 35.98339506 36.190945010.798510409 0.888145355 0.978323725 0.977663419 0.994392782 0.973074515 0.8951686

33068000 33363000 33691000 34022000 34362000 34698000 3501000051.370928 51.34606176 51.3265315 51.31160564 51.30143663 51.29544556 51.29135786

15416301.6 15340307.4 15275499.4 15207834 15167386.8 15121388.4 15061302-0.564953356 -0.494166016 -0.423363638 -0.443950865 -0.266317234 -0.303732555 -0.398151911

46.62 45.98 45.34 44.7 44.14 43.58 43.022.004706764 2.07996585 2.156107001 2.141736284 2.001958044 1.970589082 1.882831006

17651698.4 18022692.6 18415500.6 18814166 19194613.2 19576611.6 1994869853.38 54.02 54.66 55.3 55.86 56.42 56.98

Page 62: POL Country MetaData en EXCEL

3.094405594 2.658517953 2.353714661

1.009999352 0.732813128 1.122076283 1.60769629 0.965183764 0.506690611 1.1540917285335000000 7814000000 10482000000 12536000000 13867000000 14674000000 14744000000

57.09643524 64.09852082 66.11383362 64.3373646 64.65636429 57.7195037 56.849287238.83900395 32.99191171 30.4724404 34.01636194 33.9950138 37.71293482 41.209748050.636089779 0.429811753 0.462576944 0.365757976 0.284251633 0.362745794 0.592499675

0.503890911 0.429222485 0.414386429 1.113444434 1.226425175 1.786652048 2.298182271.009999352 0.732813128 1.122076283 1.716756559 1.192008176 0.846305669 1.70138830.958313859 0.79869324 0.765327791 0.827668822 0.831580252 0.826574727 0.425587217

0 0 0 0 0 0 04.06456081 2.909567466 3.413725976 1.64627346 1.348621911 4.56756148 1.940964747

5862380000 8485110000 11537540000 13790540000 15254090000 16471590000 17697900000

27.62237762 26.73796791 26.429980281144000000 1309000000 1521000000

54.42307692 55.01909855 54.6482577314.86013986 15.58441558 16.56804734

5.483050847 4.931407942 4.665825977

Page 63: POL Country MetaData en EXCEL

1.206929443 1.209884298 1.543405732 2.443986703 2.808468613 2.342422552 1.9734320344927300000 6432300000 8320700000 10289400000 11024200000 10666000000 12238000000

48.27190109 54.31792812 54.41340487 51.18523143 52.52716789 51.3404723 49.9638302146.43035447 41.02086125 38.92670686 45.14645442 44.13925066 44.82742877 45.991317830.568862154 0.514146411 0.538064746 0.751382462 0.73325176 0.679653129 0.868925088

0.747050156 0.248910918 0.392161105 1.333543401 1.689256654 1.771615024 1.2415341091.206929443 1.209884298 1.543405732 3.034025197 3.501236307 2.891297896 2.4155465610.732843824 0.712684351 1.128649995 1.048589918 0.309712182 0.435708532 0.383378478

0 0 0 0.186824451 0.187443041 0.329716561 0.2328894955.29774444 4.661210631 6.659888277 3.668314145 3.333581442 3.832098935 4.044851952

4927380000 6432020000 8320560000 10282380000 11016680000 12265080000 14113990000

25.08474576 23.8267148 24.527112231180000000 1385000000 1586000000

57.73728814 60.41155235 58.4489281211.69491525 10.83032491 12.35813367

0 0 0 0 0 0 0

278761 319204 364763 401219 434043 472613 514460

193710 193260 192570 192240 191990 191590 19111063.57818039 63.43464846 63.21646642 63.11435044 63.03020355 62.90507929 62.74748005

14844000 14800000 14764000 14781000 14763000 14739000 147090000.44889319 0.443605191 0.438217922 0.434454177 0.42963157 0.424779526 0.420137104

48.71996849 48.57874352 48.46694242 48.52752881 48.46684176 48.3928161 48.294316588484800 8246800 8088100 7864108 7768575 8001740 7852623

0.994486018 1.007680693 1.030792463 1.044026396 1.060407091 1.073644811 1.086778081

600 600304680 304660 304620 304590 304600 304570 304570

187.7937214 215.6783784 247.0624492 271.4423923 294.0073156 320.6547256 349.758651220402800 21859200 22977400 19557653 20863240 19399014 21536633

115 125 119 117 126 109 12294 101 103 104 109 102 111

103 109 118 118 118 120 124312690 312690 312690 312690 312690 312690 3126902404.6 2650.6 2840.8 2486.9 2685.5 2424.3 2742.6

27.62237762 26.73796791 26.42998028688000000 924000000 1244000000

13407000000 14033000000 15780000000

Page 64: POL Country MetaData en EXCEL

3.094405594 2.658517953 2.35371466112263000000 12724000000 14259000000

1144000000 1309000000 1521000000

14095000000 14957000000 1702400000054.42307692 55.01909855 54.6482577314.86013986 15.58441558 16.56804734

13000000 16000000 19000000

-2793000000 -2392000000 -2545000000

-651000000 -888000000 -1204000000-2721000000 -2142000000 -2227000000-2757000000 -2218000000 -2292000000

-167000000 -261000000 -253000000-6000000 -12000000 9000000-6000000 -12000000 9000000

-185000000 371000000 -129000000579000000 638000000 886000000

25.08474576 23.8267148 24.5271122337000000 36000000 40000000

10686000000 11891000000 135530000005.483050847 4.931407942 4.6658259779506000000 10506000000 119670000001180000000 1385000000 1586000000

10723000000 11927000000 1359300000057.73728814 60.41155235 58.4489281211.69491525 10.83032491 12.35813367

6000000 5000000 25000000

0 0 0597000000 660000000 909000000

Page 65: POL Country MetaData en EXCEL

103682.33 107405.72 110807.298 115703.699 119593.636 122790.918 131771.148

70226000000 78788000000 86185000000 91623000000 98756000000 1.03538E+11 1.09178E+1192.34795187 93.89807885 94.42758379 94.66750703 95.28017907 95.05439523 94.8376056597.66585574 97.91319064 97.31787753 97.59877666 98.11863229 97.83520771 97.975173951503000000 1456000000 2122000000 1990000000 1645000000 1957000000 1951000000

1.976461306 1.735233828 2.324944396 2.056124979 1.587102501 1.79664907 1.6947385796463000000 7003000000 7573000000 8449000000 9815000000 9768000000 10683000000

8.498915116 8.346045669 8.297268574 8.729748719 9.469550787 8.967638283 9.2798012532292000000 1408000000 486000000 590000000 766000000 290000000 196000000

3.014004866 1.678028317 0.532480196 0.609604893 0.739039827 0.266238237 0.1702556440 0 0 0 0 0 00 0 0 0 0 0 0

1752000000 1961000000 2152000000 2247000000 2176000000 2739000000 34160000002.303899007 2.337083472 2.357813544 2.321664738 2.099413399 2.514574248 2.967312654

76045000000 83908000000 91271000000 96784000000 1.03648E+11 1.08925E+11 1.15121E+111688000000 1679000000 2357000000 2201000000 1828000000 2222000000 2213000000

185000000 223000000 235000000 211000000 183000000 265000000 2620000000.243277007 0.265767269 0.257474992 0.218011242 0.176559123 0.243286665 0.227586626

-16.43692117 -15.64132014 -14.15288975 -12.28358698 -10.22942277 -8.855052518 -8.0319855840.145158809 0.134817248 0.18800196 0.166081234 0.130392862 0.149200962 0.13755860198.26799031 98.66050985 98.69164062 98.53119616 98.66290586 98.61725419 98.86159776

89045.922 92878.324 97069.201 103045.959 108495.203 112802.222 121974.1981430.914 1269.724 1324.624 1386.521 1318.414 1388.885 1254.655

1.606939395 1.367083239 1.364618217 1.34553651 1.215181836 1.231256774 1.028623283

Page 66: POL Country MetaData en EXCEL

69805000000 75545000000 81274000000 88207000000 94179000000 99624000000 1.0448E+112110.953187 2264.334742 2412.335639 2592.645935 2740.789244 2871.174131 2984.2902032692.812447 2783.872074 2881.161171 3028.803686 3157.418165 3250.971872 3483.9816623.705425084 3.619016866 3.573493904 3.644582239 3.677910128 3.714682349 3.542199482

11741.734 12321.12 12665.818 14550.656 16255.811 16618.844 16406.1583.55860812 3.66560117 3.65139438 3.874394626 4.073774559 3.966080039 3.797221256

329952.993 336128.221 346876.198 375559.472 399035.606 419024.423 432056.94130062.066 34645.816 36677.334 41499.439 45452.465 49625.511 52702.124

9.111014792 10.30732138 10.57360932 11.05003125 11.39057876 11.84310705 12.197957959.978014788 10.07487999 10.29581188 11.03872412 11.61270025 12.07632783 12.34095804

281174.559 281405.58 289168.619 310283.205 327452.099 342156.769 352127.34285.21655053 83.71971242 83.36363829 82.61892673 82.06087228 81.65556713 81.50021643

52.56 54.25 56.5 60.8 66.77 64.51 69.09154.59 163.43 172.23 177.96 192.65 202.07 222.11

56.76 59.27 60.54 62.47 65.26 69.17 68.95.65 6 5.97 6.43 6.9 7.3 7.3328.8 29.16 29.3 30.53 29.75 30.2 30.2

108.5335434 109.5089608 110.6000919 111.697692 112.8102429 113.9245494 114.9489444

1353138 1382714 1412978 1443904 1475552 1507803 15408057.665766598 7.672072263 7.672764541 7.674557565 7.687323441 7.702063211 7.723837415

1353138 1382714 1412978 1443904 1475552 1507803 15408054.09198621 4.144453436 4.193933098 4.244030333 4.294138874 4.345504064 4.401042559

Page 67: POL Country MetaData en EXCEL

0.024805304 0.025419297 0.027212156 0.027826148 0.029054134 0.030478597 0.032947749-0.098911967 2.475247525 7.053140096 2.25631769 4.413062666 4.902789518 8.101265823

0.057446385 0.066003722

Page 68: POL Country MetaData en EXCEL

1979 1980 1981 1982 1983 1984 1985

4130 39641800 1644 1188 990 783 798 7706788 6198 4370 4482 4741 5090 5124

617 579 591 413 402 443 540180 162 106 221 334 412 369797 741 697 634 736 855 909

Page 69: POL Country MetaData en EXCEL

42700 42700 34100 16400 25800 28800 2840014.10000038 13.80000019 12.80000019 4.199999809 4.900000095 6.5 7.900000095

1850400 1710500 1592800 755500 1287000 1595900 15870002848 2810 2518 2398 2730 2921 3064

0.080778285 0.078981393 0.070135369 0.066193723 0.074649312 0.079129869 0.08235895

6254 6183 5862 5529 6043 6197 61480.177383215 0.173787172 0.163277812 0.152620973 0.165240218 0.167876686 0.165255494.976605023 4.883114832 5.031673276 4.471962277 4.931088789 5.228476933 4.930311633

3194 3163 3140 2939 3107 3069 28840.090591939 0.088903255 0.087460309 0.081127336 0.084958027 0.083139188 0.07752063

132576 108035 110804 116312 121745 11886346300 48238 49266 50153 53179 5197827185 27172 27158 27176 27070 27092

0 0 0 0 0 0 00 0 0 0 0 0 0

1852000 1943000 2023000 2108590 2217048 2349218 24874515.252857589 5.461240092 5.634783578 5.820493002 6.062311668 6.364029907 6.68615703

Page 70: POL Country MetaData en EXCEL

973000000 1023000000 932000000 893000000 453000000 395000000 827000000319000

1.746727825

195000000 180000000 312000000 183000000 88000000 60000000 85000000

50300475867739920000

70.84099265

98.49398744

15029231815221080000

Page 71: POL Country MetaData en EXCEL

21.166513484605710401

67750000

19634942216288830000

27.65299479

10325628824151890000

36218898708532780000

23961250850352470000

3.527854763 3.318672485 3.949806927 3.648393243 3.827586226 4.02294667 4.027805618

Page 72: POL Country MetaData en EXCEL

4.67918749

0.3530358020.27328465

710047586681044480000

0.5326073791908.576154

0.0447449861.203672817

20704282801304560000

29.15900735

Page 73: POL Country MetaData en EXCEL

0.014710.00332 0.004421667 0.00511525 0.008482417 0.009155 0.011324 0.014714167

0.002036846 0.002199542 0.004217534 0.005129683 0.005674713 0.006110896676.7898066 751.1604263 933.7186143 1123.841865 1101.035009 945.4770456

129.715 130.823 132.436 132.814 129.527 130.128 131.0355.19761 55.57743 54.63714 51.10499 49.30708 46.98549 48.43708

7 7 7 7 7 7 7

99.44216 97.92396 95.38305 94.81638 95.52605 93.94824 95.650786 6 6 6 6 6 6

3078165 3115680 3190141 3309179 3439491 3566695 3678458

100.2769 99.97443 100.32215 101.56866 102.65336 103.31431 103.40982

Page 74: POL Country MetaData en EXCEL

99.23626567 100.5743484

2.56763 2.29481 2.31836 3.32741 4.05758 3.82727 3.28216

13 136 6

81.53849 82.41009 83.45483 82.48322 81.29638 81.95111 83.42726

1.99519 1.8498 1.84114 2.79865 3.27909 2.98857 2.35176

18.33368 18.23864 18.11236 17.34558 16.44809 16.49851 16.5336820.76556 20.74037 20.71232 19.86232 18.62612 18.72169 18.8189316.00861 15.8538 15.63944 14.95498 14.38015 14.38719 14.36236

Page 75: POL Country MetaData en EXCEL

12.19771254.763107001

24.8 24 23.3 22.5 21.8 21.1 20.4

96 96 95 95 95 9492 93 93 94 94 92

5.599999905 5.699999809

1.7 1.8 1.8 1.8 1.9 1.9 2

7.599999905 7.900000095 8.100000382

6.2 6.5 5.9 6 6.1 6.3 6.4

Page 76: POL Country MetaData en EXCEL

14.3418.1

22.7534.9720.86

4.129.840.280.130.150.13

25.16

29.1 29.5 29.1 28.2 27.9

25.4 25.7 26.9 26.8 26.5 26.5

74.6 74.3 73.1 73.2 73.5 73.5

11335 10678 10845 11412 11803 11825

38.9 38 37.8 38.2 38.1

Page 77: POL Country MetaData en EXCEL

31.4 31.9 32.3 32.7 33

56.8 57.1 57.2 57.3 57.3 57.373.6 74.4 75 75.1 75.3 75.264.9 65.4 65.7 65.8 65.9 65.9

45.5598403 45.44672798 45.3161492 45.32544609 45.25741783 45.260014217489968.09 17724765.78 17896755.86 18023298.89 18160289.75 18262719.32

-117501 -94406

Page 78: POL Country MetaData en EXCEL

1544789 13199124.341978189 3.54786442

102.1317115 105.4049072 101.2192128 101.3539098 101.6495309 102.940275 105.0987916238.1434669 253.1251937 234.4054732 232.0163361 238.7248239 248.2901895 253.285384

19.6 19.5 19 19.5 19.7 19 18.29.3 9.9 9.3 9.3 9.6 10 10.3

21.8 21.1 20.4 19.7 19.1 18.5 17.974.9 74.4 75.2 75.2 75.2 75 74.8

70.75121951 70.09756098 71.05121951 71.10243902 71 70.8 70.5487804966.8 66 67.1 67.2 67 66.8 66.52.28 2.276 2.235 2.336 2.416 2.372 2.329

24.04790808 24.25346178 24.51092323 24.80714531 25.10176987 25.34717428 25.5092978865.81906472 65.62090275 65.46061968 65.33329554 65.23209802 65.14274825 65.05669994

10.1330272 10.12563547 10.02845709 9.859559145 9.666132105 9.510077464 9.43400217951.93166361 52.39046677 52.76360122 53.06131303 53.298764 53.50902853 53.7120697715.39527681 15.43050316 15.3198322 15.09117069 14.81806104 14.59882753 14.5012000136.53638681 36.95996362 37.44376902 37.97014234 38.48070295 38.910201 39.210869760.703035569 0.906337763 0.906553437 0.901169236 0.945087884 0.933530569 0.779851981

35257000 35578000 35902000 36227000 36571000 36914000 3720300051.28636246 51.27869203 51.2672065 51.25295889 51.23899237 51.22950387 51.22727651

14970122.2 14907182 14913690.8 14918278.6 14928282.2 14935404.4 14918403-0.607231143 -0.421325115 0.043652647 0.030757608 0.067033521 0.047698064 -0.113897712

42.46 41.9 41.54 41.18 40.82 40.46 40.11.681038519 1.874868393 1.524263077 1.515086637 1.555259328 1.54000149 1.382666984

20286877.8 20670818 20988309.2 21308721.4 21642717.8 21978595.6 2228459757.54 58.1 58.46 58.82 59.18 59.54 59.9

31.44859643

Page 79: POL Country MetaData en EXCEL

5.97140829511.6708351324.75424477

2.259796028 2.016806723 1.789229878 2.494887526 1.99102636 1.624392876 1.5059588350.932841286.370853718

2.461124226 2.784866555 0.643480835 0.732973776 2.623835855 0.830129398 1.09683660916142000000 19120000000 15530000000 10250000000 10600000000 10650000000 1084000000053.30243745 48.7343418 45.15985394 44.82642968 43.53449549 44.15303429 44.5737881944.76429478 48.03162417 54.23402635 51.74600956 52.65104882 50.46978062 48.122469620.978524876 1.034279585 0.757855236 2.22128087 2.145056481 1.565518036 2.274916036

3.19273016 3.60006414 3.837211215 2.864816473 1.277026269 2.637298978 2.5688469223.026773334 3.392502872 1.343297084 1.271349652 3.722142576 1.587220765 1.5689379290.471141607 0.396313178 0.489395549 0.800139747 0.637416178 0.83388564 0.814522919

0 0.80861431 0 0 0 0 0.0874726581.933267778 3.234034029 0.606119706 3.427560757 3.814455694 5.377185089 7.303742193

19342380000 21266010000 17023040000 11449250000 11850970000 11980060000 12636440000

24.90606549 25.25951557 21.77185871 30.53851397 27.59394279 28.22450081 32.015167931863000000 2023000000 1727000000 1467000000 1783000000 1853000000 1846000000

57.69726248 59.871478 64.8581355 59.40013633 59.47840718 58.00863465 56.5113759515.13687601 12.8521997 11.58077591 7.566462168 10.93662367 12.14247167 9.967497291

2.6142719028.59256099

19.36370019

4.557097118 4.816650149 5.488761108 4.663409338 4.48241206 4.357957362 4.196768061

Page 80: POL Country MetaData en EXCEL

59.358408858.61914949

2.603758738 3.430959936 3.997735838 6.06264406 4.846247083 5.072336557 4.56584381214082000000 17020000000 13290000000 11220000000 11580000000 11760000000 11490000000

48.7177623 50.95219983 46.25453604 45.27714245 45.42977057 46.84740841 45.8168616448.1000424 45.20724522 48.4684918 49.92078086 51.17157609 48.16913329 47.20410385

1.372106748 1.272749898 0.798026687 1.281117199 1.497888566 1.369895543 2.82285893

1.555510482 1.130818004 1.534029794 2.088698751 2.365582122 2.105770217 1.9155908662.636871604 3.943041757 4.481730518 6.677092813 5.602653634 5.246361546 4.8526084870.633787586 0.534210987 0.557083145 0.58037696 0.465162423 0.504604623 0.6167077470.192995468 0.491009219 0.52065182 0.188417903 0.404256512 0.343724796 0.1757284123.182195297 3.840554955 5.276972165 4.802076689 3.398653341 4.983458297 6.979034512

16368260000 17036340000 13285270000 11240970000 11591650000 11791410000 11988750000

25.773746 24.08325074 22.84370099 27.36156352 31.05527638 29.99504214 32.22433461874000000 2018000000 1913000000 1842000000 1990000000 2017000000 2104000000

57.3959445 59.20713578 66.02195504 64.39196526 60.19095477 60.63956371 57.9705323212.27321238 11.89296333 5.645582854 3.583061889 4.271356784 5.007436787 5.608365019

0 0 0 0 0 0 0

573149 619353 669671 710199 757283 806491 924642

190480 190070 189100 188910 188790 189390 18914062.54268453 62.41216261 62.09568844 62.0353343 61.99796394 62.19704433 62.1169825

14652000 14621000 14512000 14484000 14474000 14535000 145110000.415577049 0.410956209 0.404211465 0.399812295 0.395778076 0.393753048 0.3900491948.10874704 48.01011361 47.65376153 47.56337843 47.53210075 47.73399015 47.6567375

7871599 7846508 7906441 8094252 8105540 8159074 82049921.10323089 1.116437906 1.13617706 1.106659661 1.067288431 1.077175698 1.096916155

600304560 304540 304530 304520 304510 304500 304490

391.1745837 423.6050886 461.4601709 490.3334714 523.2022938 554.8613691 637.200744317340564 18336070 19720795 21166289 22098776 24392409 23741480

119 80 113 100 107 117 114112 97 100 100 105 111 112126 123 107 109 111 115 118

312690 312690 312690 312690 312690 312690 3126902202.9 2336.8 2494.2 2614.9 2726.3 2989.6 2893.5

5.5630074324.90606549 25.25951557 21.77185871 30.53851397 27.59394279 28.22450081 32.015167931738000000 2496000000 3395000000 3156000000 2978000000 2833000000 2730000000

17523000000 17842000000 14450000000 13098000000 13095000000 12848000000 12444000000

Page 81: POL Country MetaData en EXCEL

2.259796028 2.016806723 1.789229878 2.494887526 1.99102636 1.624392876 1.5059588315660000000 15819000000 12723000000 11631000000 11312000000 10995000000 10598000000

1863000000 2023000000 1727000000 1467000000 1783000000 1853000000 1846000000

19261000000 20338000000 17845000000 16254000000 16073000000 15681000000 1517400000057.69726248 59.871478 64.8581355 59.40013633 59.47840718 58.00863465 56.5113759515.13687601 12.8521997 11.58077591 7.566462168 10.93662367 12.14247167 9.967497291

0.001408356273000000 508000000 644000000 95000000 239000000 374000000 381000000

-3365000000 -3417000000 -3986000000 -1941000000 -1581000000 -1083000000 -982000000-1.383005898

-1667000000 -2357000000 -3224000000 -3063000000 -2794000000 -2638000000 -2557000000-2373000000 -1781000000 -1995000000 291000000 510000000 823000000 605000000-2384000000 -1776000000 -2181000000 -84000000 303000000 659000000 347000000

161000000 -90000000 -206000000 -217000000 344000000 333000000 11800000017000000 -11000000 15000000 10000000 15000000 16000000 1400000017000000 -11000000 15000000 10000000 15000000 16000000 14000000

0.019716988

-275000000 637000000 -35000000 -370000000 -118000000 -341000000 236000000675000000 721000000 1233000000 831000000 703000000 732000000 970000000

25.773746 24.08325074 22.84370099 27.36156352 31.05527638 29.99504214 32.224334671000000 139000000 171000000 93000000 184000000 195000000 173000000

15150000000 16061000000 12455000000 13389000000 13605000000 13671000000 130490000004.557097118 4.816650149 5.488761108 4.663409338 4.48241206 4.357957362 4.196768061

13276000000 14043000000 10542000000 11547000000 11615000000 11654000000 109450000001874000000 2018000000 1913000000 1842000000 1990000000 2017000000 2104000000

15221000000 16200000000 12626000000 13482000000 13789000000 13866000000 1322200000057.3959445 59.20713578 66.02195504 64.39196526 60.19095477 60.63956371 57.97053232

12.27321238 11.89296333 5.645582854 3.583061889 4.271356784 5.007436787 5.60836501930000000 10000000 18000000 14000000 16000000 28000000 15000000

0.0211253450 0 0 0 0 0 0

953000000 1234000000 1878000000 926000000 942000000 1106000000 1351000000

Page 82: POL Country MetaData en EXCEL

00

Page 83: POL Country MetaData en EXCEL

135279.002 126641.279 108184.008 124513.726 126781.223 127766.218 128837.98

1.10585E+11 1.14547E+11 1.08632E+11 1.12228E+11 1.19744E+11 1.28937E+11 1.31513E+1194.66434967 94.71312458 95.1835204 96.29833022 96.41146207 97.05603396 96.9416638498.15011385 97.7195492 97.78496263 98.33622213 98.26974018 98.56753583 98.239742891807000000 2349000000 2137000000 1543000000 1675000000 1408000000 1852000000

1.546850657 1.942269371 1.872442587 1.323986202 1.348620381 1.059857883 1.36515752410930000000 12195000000 11424000000 10847000000 11391000000 13585000000 142980000009.356434796 10.08342911 10.00972584 9.307374166 9.171423741 10.22597254 10.53942887

342000000 144000000 154000000 123000000 118000000 76000000 810000000.292763102 0.119066322 0.13493503 0.10554135 0.095007287 0.057208238 0.059707214

0 0 0 0 0 0 00 0 0 0 0 0 0

3730000000 3492000000 2815000000 2252000000 2190000000 1932000000 16800000003.193001079 2.887358299 2.466507198 1.932350569 1.763270827 1.454293629 1.2383718361.16818E+11 1.20941E+11 1.14129E+11 1.16542E+11 1.24201E+11 1.32848E+11 1.35662E+112047000000 2597000000 2406000000 1812000000 2037000000 1753000000 2249000000

240000000 248000000 269000000 269000000 362000000 345000000 3970000000.205447791 0.205058665 0.235698201 0.230818074 0.291463032 0.259695291 0.292639059

-7.647963607 -0.016814881 7.139863635 -0.70927425 -3.453463286 -7.797376983 -3.3199761330.123660794 0.159543531 0.157749947 0.107328884 0.117544783 0.102162911 0.127726151

99.0084012 98.89705012 98.56129802 98.87214731 98.89132707 98.77883817 98.55979286

125667.962 126619.988 116502.099 123636.802 122549.037 118524.422 124698.0351129.333 1214.752 1496.034 1406.652 1481.563 1721.629 1818.271

0.898664212 0.959368279 1.28412622 1.137729201 1.208955236 1.452552116 1.458139256

Page 84: POL Country MetaData en EXCEL

1.06089E+11 1.09441E+11 1.03539E+11 1.05073E+11 1.11352E+11 1.1661E+11 1.21294E+113009.019485 3076.086345 2883.934043 2900.405775 3044.816931 3158.964079 3260.3284683564.340755 3558.940581 3245.003036 3412.835785 3350.9895 3210.825757 3351.8274063.521100756 3.669056555 3.519784438 3.414930176 3.446288942 3.66079919 3.575837149

17913.295 17872.958 17476.922 17722.611 18323.999 18778.707 17891.2934.048297809 3.847155678 4.262016544 4.19757161 4.338690492 4.327946993 4.01240152

442489.556 464575.897 410062.275 422211.046 422339.391 433894.108 445899.86655877.746 56295.784 48763.766 46435.221 44906.082 40340.667 41191.411

12.62803726 12.11767213 11.89179522 10.99810662 10.63270037 9.297353031 9.23781641212.55040293 13.05795427 11.42171119 11.65459591 11.54847806 11.75418833 11.98558896

359134.979 381210.319 336725.942 350022.484 351030.909 366450.644 379332.81581.16236285 82.05555249 82.11580595 82.90225642 83.11583444 84.4562388 85.07130051

68.29 74.09 71.39 81.13 70.89 72.81 78.98229.94 234.58 216.42 219.74 230.09 241.49 248.26

68.51 68.03 61.75 57.39 58.03 60.91 59.977.88 8.64 8.02 7.63 7.48 7.08 8.35

28.79 27.75 25.73 23.62 24.91 24.65 23.92

115.7637247 116.825376 117.8931468 118.9642716 120.0978621 121.228243 122.1813524

1558887 1565082 1571284 1577520 1583780 1590074 15963757.684213487 7.571456534 7.486472517 7.403165917 7.317842494 7.234647877 7.163580297

1558887 1565082 1571284 1577520 1583780 1590074 15963754.42149644 4.399016246 4.376591833 4.354542192 4.330699188 4.307509346 4.290984598

Page 85: POL Country MetaData en EXCEL

1223020000 574441000 464625000 861999900 945268000 1251517600 1024744000

0.761966668 0.338936572 0.31244046 0.636397121 0.705731102 0.957733002 0.810394622565100000 127600000 277800000 646800000 765200000 1106000000 870400000

13.38986833 28.58647706 8.195260067 3.796849742 -0.315882992 3.226798647

232000000 276000000 342390000 412710000 465200000 510480000 607030000-10000000 -18000000 -15000000 -16800000 -20320000 -25270000 -30510000

0.647176969 217.9011126 28.6755453 15.93549115 15.21503077 23.77037721134430000 151890000 190720000 266010000 303910000 357630000 436640000

38.0222694533.10736035 59.79952757 80.24662942 36.38070796 35.11815456 25.23464042 28.95826001

12.98817228 25.5645533 39.4767198 14.24758468 17.67628574 22.092665678360000 88300000 106950000 150190000 164710000 190300000 229210000

134430000 151890000 190720000 266010000 303910000 357630000 43664000038.02226945

33.10736035 59.79952757 80.24662942 36.38070796 35.11815456 25.23464042 28.9582600112.98817228 25.5645533 39.4767198 14.24758468 17.67628574 22.0926656

56070000 63590000 83770000 115820000 139200000 167330000 2074300000.035262579 0.038676954 0.046074765 0.093789201 0.117738048 0.135870884 0.1515249237.025761124 9.682713348 19.12718204 103.5587189 25.53475936 15.40099943 11.521260740.067336422 0.070142106 0.07659518 0.170305033 0.196327755 0.22480545 0.25680194

10.22675159 10.22675159 10.22675159 11.50509554 11.50509554 11.50509554 15.34012739

3.037875306

58.1179151355.08003983

Page 86: POL Country MetaData en EXCEL

1986 1987 1988 1989 1990 1991 1992

150000000 41000000

3983 3751 4030 4245 3999 3919 4113713 769 763 843 1315 1086 1354

5486 5682 6280 5294 4106 3389 2891

1867 5065451 524 770 969 3547 3757 3252414 494 867 1077 2554 5531 9682865 1018 1637 2046 6101 11155 17999

Page 87: POL Country MetaData en EXCEL

30700 30200 28900 31500 28600 19600 224009.5 10.30000019 13.5 28.79999924 48.90000153 38.099998474 42.799999237

1573500 1569500 1600200 1907300 1501000 1051200 11021003323 3722 3648 3780 2725 2722 2754

0.088717428 0.098821155 0.096349902 0.099570635 0.071487035 0.0711738189 0.0717847396

6580 6807 6825 7294 5959 6487 67440.175672789 0.180729609 0.180259891 0.192134447 0.156327062 0.1696196044 0.17578659555.070978283 5.111281312 5.159822185 5.895284742 5.779545124 6.4224543339 6.8425324675

49800 49000 5885061.59999847 63.400001526 64.099998474

3044 2874 2962 3281 3032 3537 37510.081268689 0.076306287 0.078231472 0.086426257 0.079540804 0.0924841284 0.0977721708

363116 365365 367000120043 119865 120671 109593 83500 65100 57700

49526 48285 52134 55888 50373 40700 3260027064 26637 26545 26644 26228 25848 23399

0 0 0 0 0 0 21950 0 0 0 0 0 0.0057214054

2625111 2774410 2952807 3124400 3293000 3565294 39381447.008519329 7.366211767 7.798866938 8.2301188 8.638781913 9.3223949127 10.265019667

0 1995.6023834 19937.4562440 0.0052180251 0.0519682318

Page 88: POL Country MetaData en EXCEL

1333000000 974000000 893000000 485000000 266000000 160000000 51000000350000 313000 305000 270000

1.917649067 1.729132114 1.6994609905 1.514389092174000000 215000000 1464000000 1821000000 2564000000

2.497578362 1.817126118 2.38739317 2.0569997816 2.0380365712

258000000 218000000 257000000 20000000 86000000 69000000 4900000013446822082 20359804449 2128334630412774480817 21546781421 2901133045121110415267 23131079739 24487043838

9.5718840509 5.86208734821.06167E+11 116328982944 12314828953520.83176793 24.339222777 23.060121855

31178516319 48935046070 5641274396129619590131 51787960152 7689621422070451745776 68473925633 70398921174

-2.807340147 2.81128257663.50036E+11 340209305522 34977355045248.30164424 58.499628074 61.122190625

30617535779 49284194643 5676131927729086658625 52157464093 7737135725165735635656 70227002047 72228737088

6.832468184 2.8503780343.23494E+11 345597024745 3554478464251724.856647 1836.1828077 1882.7380888

6.4542268425 2.53543824191.09483E+11 121216382744 128160760452

1.5162E+11 161979619971 16659665147851881916714 44035458318 44934494774 47445455809 44625338400 69294850518 77696090264

909490000 1167380000 1934430000 6828350000 42394070948 73334741572 10590754467091580830135 91648173024 94937103224

0.0735338258 3.58864786054.56203E+11 456538288466 472921839987

70.2146221 68.93745682 65.28906094 57.71150292 69.13341217 82.838850852 84.1823124844064357861 69643999092 7804466558041861139442 73704245514 10638268770186901550084 93427302189 967989354934.29661E+11 461926007689 47859613596010.26319089 16.733695515 22.803217192

60331809805 85114646671 9099619368557315218596 90076832130 1240369163321.13865E+11 109709561362 1109378134075.58454E+11 538296110688 543944809584

99.08901413 97.77605868 97.88347109 96.19459984 93.46582063 101.75069963 98.59273465616909149668 17991932780 2000110753816063691983 19040862790 2726351072317241736319 16945852638 18774901705

89090687593 87561811378 9701278754726.19559325 21.508539595 21.670839279

16175128351 14413428895 15477584204 13445733741 12883229663 15511427651 14731595093283550000 382100000 666310000 1935110000 12239068026 16415744167 20080638036

Page 89: POL Country MetaData en EXCEL

17427933692 16646897305 17048572051-4.481520309 2.4129105778

80197527536 76603459052 7845183201921.8906817 22.56420553 22.48866808 16.35506475 19.9586526 18.543208219 15.961417586

5160296634 4007921539 6955168409 18191773207 2823241743 308368502.05 -143149167390460000 106250000 299420000 2618160000 2682079622 326346391.37 -1951266374

22053828192 5154363170 -742886242221335424986 18421350434 22432752613 31637506948 15706471405 15819796153 13300103420

374010000 488350000 965730000 4553270000 14921147648 16742090558 1812937166222189022691 17741830018 15412316764

-20.04230982 -13.130061851.02251E+11 81757822222 71022969597

28.87439203 28.83860186 32.59441015 38.48309692 24.33240846 18.911848777 14.41042217612691363268 19456396227 1870227157212056794953 20590704483 2549306735012936311405 16775386112 17069228010

29.676733862 1.751625242464705853936 83908438002 8537819938219.66141388 23.259239223 20.2635739364217786400 -1464463447 12988359664006897030 -1549841692 1770443373

24384833658 3653373377 116345881656.534179373 -1.750699628 1.407265343645.85700713 44.767778818 41.934413215

10250998289 7731422105 9041347271 10624096720 5331752492 5389884463 7352768256179700000 204960000 389230000 1529020000 5065164804 5704114826 10022558791

7541771849

334973632388.259931596 6.6454096371 8.2755464536

37830576155 33338740098 36074564460 43065869928 32345595774 38333861389 35284985726663170000 883810000 1553010000 6198040000 30728315600 40568726210 48096965874

29560903125

14304341698150.1096795 47.263390087 39.713279179

7.408762463 7.3605781155 5.943411479220.91008872 31.510491245 29.338722716

19.3748285 16.050938389 13.85286984343.45742248 36.415793192 40.5432497998.848897832 8.6621990579 10.321746164

25252139190 22290833648 22975377468 27614160645 26872247939 37383134799 46211584214442670000 590930000 989090000 3974230000 25528635222 39562572242 62991012839

65471984211

32741029622341.63038891 46.091200276 52.0111743682973622388 3682415299 4289106491

3.870296236 3.755720559 3.563623653 3.819700978 5.346328701 5.0044947513 5.18811011311678804473 1740981262 1747546980

3.018352489 2.3660372011 2.1138356393

Page 90: POL Country MetaData en EXCEL

0 0 00 0 0

5656661864 30514347303 297392333659.701463404 41.469763327 35.972624535320895426.7 231130235.94 200037792.880.576943608 0.3141117877 0.2419660362845943441.8 757035178.87 355336937.081.520936794 1.0288297956 0.4298161309375647985.9 453833751 525137549.33

0.67538421 0.6167714504 0.63520722472.097880402 1.3429415833 0.671782167133.21312587 15.860867101 15.601477728

12816443735 -18843578810 -1684120346023.51166246 -25.60889623 -20.37114681

48796393860 42079646560 5237723959391970169804 95245066247

3.560824612512568774795 -18344143939 -1538015622922.59762426 -24.93015171 -18.60386172

12944422781 -17890310188 -1485501867923.27300847 -24.31338026 -17.9686545

86209885063 77592733958 913075473572.776403629 0.483872543 1.115993564 1.690688519 2.030036004 1.3418726256 0.4824517649

55.255994867 38.62546703310.52127845 16.33491553 22.644352943532931505.9 -369503941.6 -475143031

26541632342 -5387719223 -567429597364549596206 81106880651 8884933819661322115626 85835413278 1211105375041.07999E+11 99896027631 1023930094565.31541E+11 491661598038 503951076442

0.434663168 0.673295428 0.535626638 0.491909837 0.666485519 0.5132469204 0.53841805740.153170098 0.392669595 1.322513738 0.844915862 0.890613464 0.4839605953 0.3796248514

73890473474 63877404753 68823925668 82211436909 64549596206 83650183224 922950296511295300000 1693390000 2962870000 11831870000 61322115626 88526990438 125807359705

1.1817E+11 109880027888 112643487102-7.01557881 2.5149786253

5.82839E+11 541949484065 5555793977492.27747E+11 219276828913 2301281430283.11826E+11 289949605873 297241776485

0.326029485 0.267108608 0.224400347 0.1867786 0.225247946 0.2182900433 0.16572955521972.727293 1695.980373 1817.757268 2165.567445 1693.379545 2187.25312 2405.7279127

3100.70685 2872.9664123 2936.2022953-7.344791013 2.2010658651

15293.28405 14170.024297 14481.9158655974.654357 5733.5669775 5998.43457738182.094112 7581.1363989 7748.0022044

0.016073584 0.023749488 0.017506774 0.018771665 0.037042685 0.0227591026 0.02507263440.929936335 1.356823118 2.100047496 1.542375964 1.819389613 1.2382566616 1.1088450984

22008556760 19841946435 23889430894 34765981101 19924257806 14355332706 14598939386385810000 526010000 1028440000 5003520000 18928044678 15192248866 19899815035

1.23755E+11 75442118179 7695231757229.7853779 31.06254318 34.71093906 42.28849708 30.86658783 17.161149148 15.81768752

1.1798E+11 108280000000 1120500000005.79958E+11 531980406644 549874157559

7802413058680633823228 88034454395

Page 91: POL Country MetaData en EXCEL

85334776598 119999769353112931161357 116961397860

3.5687550315561026046303 581047691559211369878451 219504837790

20302952.7425477 3048.7543816

3.251615485714668.807594 15145.780813

5530 572012106972710 1080436413012812809440 14727429307

15.014757114 12.27288134514.473336749 11.706333669

512438133323 524227187795-3016359997 -4260575256-3192213840 -5807590352

-19542273321 -256469697642543302574 34456914552691577160 4696822201

51298222486 50287886027 51628321307

-2880802531 -9969077421 -57052401900.01753 0.02651 0.04305 0.14392 0.949999988 1.0583000183 1.3631000519

0.017528667 0.02650825 0.043054583 0.143918417 0.95 1.0576058333 1.36264333330.269255835 0.403722504 0.5466839390.283427198 0.3814820911 0.40105929

0.006992279 0.008518122 0.012998896 0.042725459 0.265673658 0.430283951 0.60370551741.6520138 538.9703248 41.95368295 47.07789232 37.51197927 59.08965908 62.588854907

97.701 97.754 98.049 97.537100.568 100.643 100.541 100.156104.552 104.492 103.782 103.493

132.224 133.426 134.728 133.969 148.362 133.803 136.35350.57351 51.85547 51.97532 51.18734 49.22675 46.72167 43.0871

7 7 7 7 7 7 7

96.99136 98.41065 99.65914 100.61486 97.53768 95.67113 96.532416 6 6 6 6 6 6

3771617 3854629 3915213 3920816 3928427 3957145 3976740

103.05108 102.56872 101.72219 99.84253 98.54835 98.37791 98.5958998.6563 97.40466 97.38786 97.33989

100.97733 99.64281 99.32549 99.79805

Page 92: POL Country MetaData en EXCEL

97.30609172 100.14561969 98.586880514

93.34015134 93.186891635 97.07695976

3.11742 2.93979 2.82355 2.51744 2.44607 2.14382 1.65907

136

188766750.00915 49.97726 49.79991 49.73514

55.55495462 55.56976446 55.890059874

42.67476499 42.234812134 41.81670712883.98611 85.13254 86.54585 87.04424 87.89146 87.39293 87.35087

89.0248 89.86656 89.052 88.8843985.14922 86.003 85.80706 85.88471

94.97131973 95.361217208 94.37375608

2.02552 1.79334 1.66796 1.48809 1.49708 1.33904 1.03464

17.07889 17.45414 18.18386 19.82428 20.35868 21.74815 21.4936319.51751 20.02608 20.95258 22.78608 24.44219 24.98093 24.8900114.76094 15.00915 15.55182 17.00851 16.47467 18.66996 18.25415

Page 93: POL Country MetaData en EXCEL

14

0.1 0.1 0.1

19.7 19.1 18.4 17.8 17.3 16.8 16.311 11 11

100100100

95 96 96 96 96 95 9592 94 95 95 95 94 95

5.699999809 5.6999998093 5.5999999046

2 2.1 2.1 2.1 2.1 2.2 2.2

29000.034936342

96

997.699999809 7.599999905 7.900000095 8.4

17

87 87 8749 50 50

6.4 6.3 6.2 6 5.8 5.8 5.4

Page 94: POL Country MetaData en EXCEL

14.3 13.83 13.7518.06 17.89 17.9422.59 22.98 23.2135.38 36.06 35.9221.16 21.6 21

4.11 3.85 3.949.67 9.24 9.180.22 0.15 0.16

0.1 0.08 0.030.11 0.09 0.030.09 0.08 0.01

25.53 26.89 26.7

27.4 27.2 26.7 25.3 25.2 25.4 2527.2 28.136.4 37.731.9 33

2931.2

26 25.6 25.4 25.1 27.2 30 30.246.8 45.962.4 61.354.3 53.3

7168.8

74 74.4 74.6 74.9 72.8 70 69.87.85.56.6

12165 12041 12390 12213 11519 11378 12181

37.5 37.5 37.7 38 37 36 34.6

Page 95: POL Country MetaData en EXCEL

34.6 34.7 35.2 36 35.8 38 39.8

57.2 57.2 57 56.1 55.2 54.4 53.775.1 74.8 74.5 73.3 72.1 71 69.965.8 65.6 65.4 64.3 63.3 62.3 61.4

25.9

61.1

1345.2539508 45.39746605 45.38362921 45.4384661 45.42355286 45.491829145 45.572912689

18343377.34 18397156.83 18467142.42 18251514.63 18101566.53 17946866.784 17828971.52430.0811

25.8790427.76918

3633.334.721.925.223.570.6

7070.3

7.54.96.2

14.712.213.3

14.50809502-249648

550 2719

Page 96: POL Country MetaData en EXCEL

25632 21643 145181127771

2.9585695

120

103.3966034 104.2072121 101.1467096 101.5975222 101.5974506 104.24170689 100.77258643251.7285952 251.0770556 247.8059383 257.5373922 263.0182899 275.41320193 266.11060446

17 16.1 15.6 14.9 14.3 14.3 13.510.1 10.1 9.9 10.1 10.2 10.6 10.3

72.717.3 16.7 16.1 15.6 15.1 14.7 14.275.1 75.2 75.67 75.5 75.5 75.3 75.7

70.84878049 70.89756098 71.33170732 71.04390244 70.8902439 70.587804878 71.09024390266.8 66.8 67.2 66.8 66.5 66.1 66.72.22 2.154 2.13 2.078 2.04 2.05 1.93

25.57274359 25.5404461 25.42068347 25.22999442 24.98066148 24.676109973 24.31215959964.97512247 64.90858498 64.86886039 64.87114247 64.9266529 65.036158259 65.1975855199.452133943 9.550968919 9.710456135 9.898863109 10.09268562 10.287731768 10.49025488253.90505812 54.06282548 54.15717093 54.15174791 54.01995257 53.76061975 53.37991308214.54731224 14.71449258 14.96936446 15.2592705 15.5447496 15.818480125 16.08994382139.35774588 39.3483329 39.18780647 38.8924774 38.47520297 37.942139625 37.2899692610.677750713 0.553781998 0.524323918 0.266403042 0.409559732 0.3289545366 0.3140621448

37456000 37664000 37862000 37963000 38118800 38244400 3836470051.2331254 51.24578219 51.26340367 51.28327427 51.30336539 51.323170963 51.343132454

14914979.2 14892345.6 14864621.2 14797977.4 14751975.6 14785285.04 14816447.14-0.022952812 -0.151866056 -0.186338938 -0.449346418 -0.311349647 0.2255419318 0.2105424866

39.82 39.54 39.26 38.98 38.7 38.66 38.621.144107364 1.017973848 0.986370978 0.726325026 0.867376123 0.3941861317 0.3792512152

22541020.8 22771654.4 22997378.8 23165022.6 23366824.4 23459114.96 23548252.8660.18 60.46 60.74 61.02 61.3 61.34 61.38

31.49932448 36.10040215 38.0754218 28.87676082 40.10869397 38.481684988 35.798244093

Page 97: POL Country MetaData en EXCEL

0.4065226 0.4008741 8.29889 1.111032 1.3315852.55 2.84 5.86 4.33 3.36.07 6.06 8.53 7.02 7.12

0.0480344 0 0.1145964 0.0586259 0.05420464.32 4.57 5.99 5.39 4.785.84 5.8 7.6 6.79 7.15

4.209674 4.33863 11.47864 6.273315 6.2492413.14 3.49 6.12 4.82 4.036.24 6.26 8.35 7.15 7.25

0.2669968 0 0.6839679 0.6976589 0.73775113.59 3.77 5.05 4.74 4.464.73 4.73 6.22 5.92 6.33

15.13533 15.71462 20.69455 20.98832 20.600035.87 6.23 7.38 7.18 7.44

6.9 7 7.77 7.68 7.80.8964273 0 2.314253 2.518059 2.730742

2.73 2.71 3.7 3.73 4.063.47 3.32 4.21 4.57 5.03

5.481512504 5.906665462 4.826643799 3.336678151 2.2616910301 2.571583401311.68865453 12.91338498 12.98391525 7.725868242 11.761979575 11.42798868718.85276844 16.1137233 13.75137043 23.97405105 21.028998598 16.802280567

1.829025845 1.568047337 1.568219634 1.509990174 0.965929048 1.6332665331 0.697156983958.13127241 59.27106182 62.50474362 60.02973133 62.073649314 63.6884183625.839857454 5.779826876 5.905103464 4.882983345 2.829632669 3.2679116063

0.888946475 0.865412039 1.192445916 1.971663865 1.250118232 1.1641346193 0.68222460611205000000 10850000000 12245000000 10270000000 11570000000 18390000000 1854000000043.59123972 48.89051996 57.12801453 60.51146274 68.73490068 76.392811424 76.72484835346.14818546 41.49965082 42.87198547 34.16904474 30.59593584 22.163514753 22.840936374.850533851 3.67765304 3.045419011 3.758931535 2.180605734 1.3360822461 1.8947034036

12.985023682.435674265 2.873649723 2.526577874 2.157292755 0.89039518 0.665564292 1.20430367781.338473942 1.07196446 1.333698446 2.215156337 3.364616444 2.841023909 2.8298792410.615777239 1.450072141 1.383191021 0.850589536 0.592452102 0.5540446128 0.5440940185

0.05653777 0.084011633 0.139084973 0.1736699 0.151036159 0.1339853538 3.382936952910.26057483 9.609829219 0 5.319492517 0.669163478 1.4436738227 0.4342152773

12329280000 11928110000 13840460000 11357230000 8975983000 17084330000 15204670000

35.1888668 32.10059172 36.14808652 31.0841795 31.78784686 42.651970608 60.0988875152012000000 2028000000 2404000000 3053000000 2847000000 2994000000 4045000000

53.73757455 56.32149901 51.84276206 60.36357681 52.3884791 50.938543754 35.8912237339.244532803 10.00986193 10.44093178 7.042253521 14.85774499 4.7762191049 3.3127317676

2.90275807 2.660236083 2.380728487 2.758225211 3.5777852307 4.07143655511.43742411 10.55003818 12.30940526 11.98873836 14.091451694 13.68883869312.68730831 11.4643181 10.68405807 11.53849785 11.715299357 9.9245301565

4.228287841 4.10198556 3.968446602 4.27366448 3.95 3.9273121779 3.1657238634

Page 98: POL Country MetaData en EXCEL

59.27898931 60.99345783 59.48445746 58.1881054 55.275649349 58.4493807048.267600175 8.833499398 8.61433827 10.04858071 10.018953152 11.334111758

3.601517018 3.06073656 3.732450642 3.775870389 3.288685418 2.0762766931 2.775745846812070000000 12210000000 13960000000 13470000000 14320000000 13800000000 1450000000043.60099522 50.3169808 58.67337294 56.49557555 71.21975454 80.421993556 76.4156888542.69112425 37.21682546 41.3266492 36.30477176 27.56574525 18.457319506 23.1747163244.085594379 3.742318621 3.358128285 2.949591916 1.924882071 0.5718899853 1.8730553308

11.5912787822.562447769 1.655335097 1.572995073 1.44293658 1.448467143 1.1802555566 5.29308719633.616574552 3.000989771 3.582957818 3.445229536 3.265134837 2.2972362205 3.10164264120.809495689 0.728801033 0.574964453 0.838185143 0.835148868 0.4070645865 0.52744851060.368528594 0.14803963 0.185043486 0.290001293 0.309539262 0.4340910173 0.788203863113.70788052 12.46619374 -2.21362E-05 7.199652694 1.214500207 1.1206869382 0.4095948263

12073690000 12204840000 13552490000 13532750000 13626840000 14912550000 13186690000

33.99503722 37.40974729 34.54692557 27.58512965 27.59375 38.595063737 51.2465954332015000000 2216000000 2472000000 3201000000 3200000000 3687000000 4773000000

2840880003.4840955224

55.02729529 50.18501805 53.1512945 61.83067791 57.26875 53.436398156 41.7536140796.749379653 8.303249097 8.333333333 6.31052796 11.1875 4.0412259289 3.8340666248

0 0 0 0 0 0 0

989503 1043509 1101264 1152644 1185000 1178760 1172140

188790 188690 188200 188070 187930 187530 18743062.00610898 61.97530053 61.81639021 61.77774858 61.73378884 61.602391433 61.56954208

14484000 14480000 14464000 14414000 14388000 14360000 143370000.386693721 0.384451997 0.382018911 0.379685483 0.377451546 0.3754798088 0.373702909247.57118928 47.55961374 47.50862211 47.34750189 47.26364891 47.171670718 47.096117206

8237760 8382639 8439006 8376609 8530840 8716249 83211201.100272605 1.106877751 1.037937264 1.133265447 1.133302674 1.1661520268 1.1891465738

1.68041888810

29.17351028

600 600304470 304460 304450 304430 304420 304420 304420

683.1697045 720.6553867 761.3827434 799.6697655 823.6030025 820.86350975 817.5629490125035598 26059921 24504330 26957819 28013511 27811536 19962168

125 116 117 120 124 112 91118 112 115 118 119 111 98121 119 120 122 123 114 106

312690 312690 312690 312690 312690 312690 3126903039.1 3108.7 2903.6 3218.2 3283.7 3190.7 2398.9

5.449958311 6.643976875 7.084745534 7.607214075 9.367990437 7.986832476 9.554143959235.1888668 32.10059172 36.14808652 31.0841795 31.78784686 42.65196847 60.098889098

2861000000 3132000000 3226000000 3623000000 3989000000 3469000000 489500000013471000000 13264000000 15161000000 15875000000 15095000000 18098000000 18105000000

Page 99: POL Country MetaData en EXCEL

1.829025845 1.568047337 1.568219634 1.509990174 0.965929048 1.6332665331 0.697156983911459000000 11236000000 12757000000 12822000000 12248000000 15104000000 14060000000

2012000000 2028000000 2404000000 3053000000 2847000000 2994000000 4045000000

16332000000 16396000000 18387000000 19498000000 19084000000 21567000000 2300000000053.73757455 56.32149901 51.84276206 60.36357681 52.3884791 50.938543754 35.8912237339.244532803 10.00986193 10.44093178 7.042253521 14.85774499 4.7762191049 3.31273176760.029773798 0.01252399 0.031965628 0.021894764 -0.008368183 0.0140852655

386000000 596000000 1086000000 2637000000 4354000000 5939000000 5748000000

-1106000000 -379000000 -107000000 -1409000000 3067000000 -2146000000 -3104000000-1.496810005 -0.593324042 -0.15546919 -1.713873462 4.751385261 -2.565445666 -3.363128016-2673000000 -2915000000 -2955000000 -3213000000 -3386000000 -2896000000 -4167000000

470000000 978000000 1157000000 195000000 3942000000 -18000000 597000000467000000 790000000 1089000000 47000000 3589000000 -711000000 -131000000

731000168.8 91000000 -266986240.5 -109987227.6 162219872.6 -745350139.9 -181124014.1-6000000 4000000 -7000000 -7000000 89000000 298000000 665000000-6000000 4000000 -7000000 -7000000 89000000 298000000 665000000

-0.008120127 0.006261995 -0.010170882 -0.00851463 0.137878477 0.3562454839 0.7205155061

172999831.2 -797000000 -561013759.5 -259012772.4 -1938219873 1153350139.9 -615875985.91097000000 1558000000 1691000000 1609000000 2511000000 768000000 466000000

424000000 864000000 2446000000

33.99503722 37.40974729 34.54692557 27.58512965 27.59375 38.595063737 51.246595433188000000 217000000 271000000 410000000 603000000 573000000 728000000

13941000000 14242000000 16318000000 16070000000 19037000000 18080000000 187020000004.228287841 4.10198556 3.968446602 4.27366448 3.95 3.9273121779 3.1657238634

11926000000 12026000000 13846000000 12869000000 15837000000 14393000000 139290000002015000000 2216000000 2472000000 3201000000 3200000000 3687000000 4773000000

14129000000 14459000000 16589000000 16480000000 19640000000 18653000000 1943000000055.02729529 50.18501805 53.1512945 61.83067791 57.26875 53.436398156 41.7536140796.749379653 8.303249097 8.333333333 6.31052796 11.1875 4.0412259289 3.8340666248

16000000 12000000 15000000 11000000 89000000 291000000 6780000000.021653671 0.018785986 0.021794746 0.013380133 0.137878477 0.3478773014 0.7346007716

0 0 0 0 0 0 01483000000 2154000000 2777000000 4246000000 6865000000 6707000000 6214000000

0 0 0

144000000 2220000000.1884146114 0.2632657742

9 1628000000 167000000

0.0366361744 0.198042271691.256830601

0 100000 30000026660000 189220000 257990000

2370000 157900000 1190000010620000 97300000 203420000

288630000 69810000 745900005790000 16260000 25680000

294100000 219400000 339400000

Page 100: POL Country MetaData en EXCEL

5340000 12980000 132100000 22290000 -980000

14260000 67090000 1100002140000 20460000 29220000

120810000 18430000 15510000

830000 0 070070000 28340000 48740000

149840000 3230000 8349000030000 40000 70000

0 0 9000010600000 5200000 700000017400000 2590000 37060000

0 0 00 0 0

2320000 10290000 1787000001294810000 2503930000 1434500000

273000000 1563000000 109000000

0 0 0

0 0 0 0 54084691.19 349346109.46 342816424.360 0 0 0 0 0 0

0 0 00 230000 1500000 0 0

30000 50000 100000

1630000 1030000 87000023810000 170000 0

1320280000 2507260000 14355300002031580000 3737740000 1970030000

Page 101: POL Country MetaData en EXCEL

1320280000 2507260000 14355300002031580000 3737740000 1970030000

1613.55837596.224478.46919

17.064886.2317

37.476963.48455446679

17.578173.470090.16146

131195.618 132320.627 132261.068 122138.393 103872.669 99836.758 97666.808

1.34299E+11 1.39591E+11 1.38236E+11 1.3967E+11 1.31045E+11 129230000000 12719900000097.27723131 97.31732653 97.3760399 97.45393144 97.49283934 97.364534989 97.3310275798.49773284 98.61613648 98.58975352 98.71405745 98.75385932 98.596377554 98.5224238061549000000 1661000000 1793000000 1609000000 1417000000 1425000000 1507000000

1.121992206 1.157983533 1.263022943 1.122670407 1.05419782 1.0736242541 1.153136884313567000000 14962000000 13868000000 12951000000 10560000000 13983000000 15108000000

9.82702922 10.43091488 9.768880185 9.036485044 7.856266042 10.53507926 11.56044595163000000 165000000 97000000 115000000 125000000 107000000 100000000

0.045632995 0.115031477 0.068328625 0.080240582 0.092995573 0.0806159966 0.0765187050 0 0 0 0 0 00 0 0 0 0 0 0

1622000000 1698000000 1626000000 1691000000 1570000000 1528000000 14570000001.174868534 1.18377847 1.145385 1.17988543 1.168024402 1.1512265686 1.11487753181.38058E+11 1.43439E+11 1.41961E+11 1.43319E+11 1.34415E+11 132728000000 1306870000001917000000 1854000000 1887000000 1712000000 1472000000 1508000000 1618000000

368000000 193000000 94000000 103000000 55000000 83000000 1110000000.266554636 0.13455197 0.066215369 0.071867652 0.040918052 0.0625339039 0.0849357625

2.208889709 2.1709437052 2.33489007153.024366065 2.8706374259 3.0158278931

-1.108132046 0.642081736 0.008152906 1.282786211 -0.744957179 1.1569154824 0.90683507470.102663632 0.10726129 0.116576579 0.111839491 0.118192611 0.121330262 0.131494748697.84635106 97.98891801 97.79065995 97.89936882 97.80663098 98.050581581 98.045985723

330.6478047 348.35468631 331.58390844129757.731 133175.724 132271.852 123725.527 103104.584 101005.304 98560.59

2658.13 2387.594 2383.2 2306.618 2229.127 2071.614 2143.0392.048533047 1.792814733 1.801743881 1.864302425 2.162005716 2.0509952626 2.1743366187

Page 102: POL Country MetaData en EXCEL

1.26765E+11 1.3259E+11 1.34978E+11 1.34305E+11 1.2471E+11 118113000000 1136100000003384.370995 3520.337723 3564.999208 3537.786792 3271.614007 3088.3737227 2961.31600143464.270905 3535.889019 3493.525223 3259.108263 2704.822397 2641.0482058 2569.04367823.493969427 3.494280241 3.371668774 3.42522571 3.557294213 3.5799295154 3.6250101993

19508.44 20139.164 19908.143 19545.11 18434.009 16376.822 16171.474.302988636 4.327714869 4.463940667 4.612003323 5.025994801 4.5290902269 4.5262336809

3.103767571 3.2907879253 3.1718047194453369.545 465353.301 445976.873 423787.856 366773.34 361591.869 357283.144

42603.206 42133.83 39728.278 39486.256 34686.153 34436.797 35291.2089.397015408 9.054159476 8.908147576 9.31745812 9.457108578 9.5236646486 9.877658264212.10405663 12.35538713 11.7790099 11.16318141 9.621849061 9.4547664233 9.3128095358

1.610444469 1.6490199662 1.55253998621.176211522 1.2470852233 1.20199505

383377.516 395056.911 377873.349 356216.047 307419.278 304790.039 299883.59384.56181502 84.89397414 84.72935972 84.05527482 83.81723655 84.291176083 83.934436325

532.20.1

22773.520.62066168

77608.370.27178509

110440.218990.7

65.839342672053.1

23.338995984678.828844427.8

59.6477205 53.583630025 54.082529923104.3

-20.12975569 -21.14058541 -14.17314659

84.28 93.09 92.43 81.09 44.41 53.36 54.73245.11 253.17 243.83 240.25 223.99 218.44 210.12

62.59 61.66 60.83 57.53 47.07 41.47 38.488.94 8.07 8.79 8.02 7.85 8.4 9.72

24.61 24.93 23.91 23.66 20.49 20.9 21.28

123.0203304 123.7075478 124.3619642 124.7019019 125.2177912 125.63037908 126.02555682.472775

1602710 1609071 1615465 1621867 1628303 1634765 16412627.110192632 7.066113738 7.024561425 7.001361613 6.968439408 6.9685706506 6.9697824707

1602710 1609071 1615465 1621867 1628303 1634765 16412624.278913926 4.272172366 4.26671861 4.272230856 4.271653357 4.2745212371 4.2780524805

11.17

16.41 15.16

Page 103: POL Country MetaData en EXCEL

26.64 24.5953.6 53.6

1423.109601 1397.117662915.31870484 16.449520978 17.4614728493.758999386 3.7752172238 3.7759439738

882302655.2 1723208693 2248959113 2503603416 4673859369 3799891426.3 4256739750

0.648275279 1.261192017 1.467749462 1.54083706 2.938918069 2.1142809438 2.2209076957697797855.2 1494713493 2055321113 2314331416 4492139369 3632638626.3 4099112500

-1.678728472 3.824810657 10.39332282 42.79308665 -14.49064672 51.348972107 37.934270559

711640000 841050000 1234810000 3921830000 11540730000 29065500000 44762300000-24888069.91 14933574.25 67786074.8 1037235256 7449086728 7792701684 13429126929

25.6366801 19.56690707 42.700538 177.3102998 116.0407434 38.63358517 20.492599874553230000 741630000 1210990000 7380830000 19549700000 26959000000 41967900000

38.21006717 38.23277567 32.95149635 36.3079547 21.95825252 26.268090539 27.39382662635.77167316 16.23560044 12.50660998 20.48440221 4.402920574 6.7082424944 7.235323332826.70163063 34.05455236 63.28762321 509.487279 164.871295 37.899814319 55.67305909

279300000 351610000 531910000 1881300000 9426280000 10783000000 14962700000553230000 741630000 1210990000 7380830000 19549700000 26959000000 41967900000

38.21006717 38.23277567 32.95149635 36.3079547 21.95825252 26.268090539 27.39382662635.77167316 16.23560044 12.50660998 20.48440221 4.402920574 6.7082424944 7.235323332826.70163063 34.05455236 63.28762321 509.487279 164.871295 37.899814319 55.67305909

273930000 390020000 679080000 5499530000 10123420000 16176000000 270052000000.176602249 0.223188206 0.354246172 1.220558492 7.999310291 14.13527877 20.54268807916.54996817 26.37902785 58.72082973 244.550933 555.3811506 76.70621911 45.329203717

0.29960616 0.379053786 0.604928903 1.924845517 13.66879677 20.550210825 26.245208907246.8756956 102.8648732 58.427247956 41.226702997

15.34012739 15.34012739 21.30573248 81.81401274 644.4962771 69.776273885 49.855414013-165.0616829 541.6314039 11.349025929 8.6287110155

9.3524755876 8.10092634516.2570947951

1.883733498 2.690461146 4.139229868 5.416388111 -0.699046332 10.855333444 15.767440034

54.9401683 49.66664501 41.67614509 33.14632429 18.81984971 32.832359777 35.58003292153.0564348 46.97618387 37.53691522 27.54746291 19.28203207 21.888126891 19.793357128

Page 104: POL Country MetaData en EXCEL

1993 1994 1995 1996 1997 1998 1999

145000000 159800000 135300000 18800000041000000 41000000 206000000 1257800000 724330000 1913630000 811430000

3100000 1200000 87700000 805000000 6100000

3848 4041 4549.4 4506.9 4565.5 4785.8 5100.21013 1327 1265 1297 3950 4128 46712659 2676 2595 2411 2399 2407 2285

5843 6509 7220 7423 9004 9577 94042692 2935 3137 3536 3292 3142 31917936 10803 9752 9860 10308 11263 12467

16471 20247 20109 20819 22604 23982 25062

Page 105: POL Country MetaData en EXCEL

27600 30500 32100 35900 38300 38400 4380049.299999237 54.79999924 66.19999695 70 92 91.800003052 80.300003052

1269900 1451800 1657300 1805900 1998000 2212500 21407002514 2364 2445 3181 3246 3621 3778

0.0653683143 0.06133314 0.063362324 0.0823709151 0.0839844761 0.0936478152 0.0977288013

6612 6940 7209 8238 8773 9269 103590.1719233469 0.180055833 0.186821673 0.2133202134 0.2269857697 0.2397187514 0.26796523366.5501664289 7.214437191 7.247265562 7.9613433196 8.5924721599 9.7067755786 11.140266919

57100 64000 71600 79200 95500 6954364.5 64.90000153 65.30000305 65.400001526 65.699996948 65.599998474 65.599998474

3832 4241 4299 4494 4853 4948 57100.0996385761 0.110031237 0.111408846 0.1163706044 0.1255627426 0.1279672437 0.1477055202

368364 370510 372479 374990 377048 381046 38104664320 65800 69100 68300 68632 61747 5546032800 27600 26600 26600 25795 25651 2618724926 24313 23986 22285 22285 22891

15699 38942 75000 216900 812200 1928042 39565000.0408200941 0.101033635 0.194362956 0.5616551867 2.1014230272 4.9863827904 10.234621553

4415800 5006094 5728497 6532394 7510000 8812342 1017519611.481837801 12.98813292 14.8454348 16.915412502 19.430789133 22.790847135 26.321061617

0 00 0

49796.502065 149275.7133 248683.6377 497343.19457 795985.06586 1573894.9059 2091784.83290.129479451 0.387290531 0.644465159 1.2878533186 2.0594697694 4.0704727764 5.4110011715

107.75 100.05

Page 106: POL Country MetaData en EXCEL

24000000 195000000 100000000 1000000 3000000 24000000260000 255000 302000 272900 265150 264050 264050

1.4584520988 1.444151614 1.733631614 1.568775895 1.5361800138 1.5287166879 1.53704754163847000000 5117000000 6594000000 8313000000 10468000000 12133000000 12800000000

2.2562722436 2.076941269 1.955388438 1.9678720564 2.0312290799 2.0191312394 1.9228227037

131000000 176000000 46000000 21000000 1000000 6700000020409882720 20286395509 25990729820 28647305367 27926166945 29923462048 2924471466637034691460 46104789642 63027000000 77236000000 91578000000 103996000000 11601700000025071951394 25370981785 26587449748 27178450701 28021927141 28541497696 29258355960

2.3886409464 1.19268894 4.794721675 2.2228568706 3.1034750631 1.8541571124 2.5116350629126089860004 1.27594E+11 1.33711E+11 136683698457 140925642954 143538625786 14714379224021.720911461 18.71349234 18.69006174 18.283479628 17.769955739 17.306649004 17.42813450158830311159 67839155668 84050590108 97570564890 98578350802 108000230189 106091840156

106750364623 1.54178E+11 2.03821E+11 263060000000 323267000000 375344000000 42087800000073797361799 77747803462 80814516632 88303001523 95336598622 100595763867 106317414898

4.8274044096 5.353093344 3.944437056 9.2662620571 7.9652978701 5.5164179554 5.6877653806366658534250 3.86286E+11 4.01523E+11 438729086229 473675164790 499805066630 52823280618062.609275979 62.57925511 60.44119304 62.272154835 62.727295659 62.463429977 63.22451358659214663396 68008094606 84050590108 97570564890 98578350802 108000230189 106091840156

107447789821 1.54562E+11 2.03821E+11 263060000000 323267000000 375344000000 42087800000076220503165 79848723128 82102305339 89389730047 95870326366 100725474420 106512207684

5.5265621946 4.760162702 2.82231465 8.8760293369 7.2498220049 5.0642865607 5.7450543641375091892727 3.92947E+11 4.04037E+11 439899523637 471791456101 495684327407 5241616614911981.7398044 2071.69769 2127.278393 2314.3349664 2480.4959828 2605.1838017 2755.08176565.2583902203 4.539338908 2.682857799 8.7932342846 7.1796442078 5.0267293241 5.7538344791

138349320397 1.48131E+11 1.5606E+11 173714981101 190447264157 202006107659 216064316698175803719036 1.84172E+11 1.8937E+11 206178735817 221126327176 232324798045 245671983995

79240193879 88125551177 1.10041E+11 126217870257 126504517746 137923692237 135336554822143785056083 2.00282E+11 2.66848E+11 340296000000 414845000000 479340000000 536895000000

98917201984 1.03159E+11 1.07446E+11 115511736437 123378569972 129148585181 1355790585634.1923532792 4.288483464 4.155558356 7.5066887745 6.8104192505 4.6766753819 4.9791280122

492748394254 5.1388E+11 5.35234E+11 575412784686 614600807744 643343692416 67537659842084.33018744 81.29274745 79.13125478 80.555634463 80.497251399 79.770078981 80.652648087

79624546116 88294490115 1.10041E+11 126217870257 126504517746 137923692237 135336554822144482481281 2.00666E+11 2.66848E+11 340296000000 414845000000 479340000000 536895000000101367011783 1.05282E+11 1.08763E+11 116617410648 123925703721 129286671502 135775549424501181752730 5.20541E+11 5.37749E+11 576583222094 612717099055 639222953193 67130545373129.495790471 40.16923527 51.26304129 60.780228188 69.4320328 76.678693114 81.58477466393122630700 1.06274E+11 1.36068E+11 158926226772 163324683087 181255395062 177722321791

168975390168 2.41528E+11 3.29963E+11 428481000000 535589000000 629935000000 705044000000116800834528 1.22648E+11 1.31407E+11 143883320269 157421863939 167711077828 176306853716572879680352 6.01276E+11 6.43666E+11 704967738314 771386028033 821525477834 86418575391599.104362539 98.03389671 97.84741209 101.430986 103.92662893 104.83156987 105.9120789319707991902 23435002483 32261709375 34953822188 36786621494 44922023364 4059378237635761077582 53260612969 78234000000 94239000000 120634000000 156122000000 16104000000019366669067 21895117098 26898162951 30112849962 33800626800 38678761592 37706106758

100070539977 1.13135E+11 1.38987E+11 155597699613 174653006346 199859074622 19483321838820.973934689 21.61797246 23.199554 22.308468028 23.408032941 25.981274817 24.191513141

14193103616 18491740699 24634017600 31034457179 35214634875 41627150832 4095122141825754053586 42026086627 59737000000 83672000000 115479000000 144671000000 162458000000

Page 107: POL Country MetaData en EXCEL

17539499213 19146159323 22314892210 26715711553 32551711359 37117672448 395781412282.8795793612 9.160239362 16.5502273 19.72144567 21.844822641 14.026792751 6.628833698580710914782 88104227767 1.02686E+11 122936777861 149792098945 170803126221 182125381410

15.104797574 17.05798587 17.7144433 19.807024023 22.407747699 24.075639622 24.404525844-310666795.2 -343467304 1393001179 1673899336 1605530465 1704551994 1434545551-563719501.2 -780596425 3378000000 4513000000 5265000000 5924000000 5691000000-579628683.9 -708008959 5746372384 6618175767 6993121344 7378659197 668377408513882436820 18148273394 26027018780 32708356515 36820165341 43331702826 4238576696925190334085 41245490202 63115000000 88185000000 120744000000 150595000000 16814900000017388864068 18965388463 23530262294 28114031206 34023126499 38666281260 40972470299

12.824465878 9.066287419 24.06949818 19.480313713 21.018313772 13.647054926 5.964341446180131286098 87396218808 1.08432E+11 129554953628 156785220289 178181785418 188809155495

14.774175098 16.74114926 18.71615731 20.875351533 23.429377533 25.061490892 25.25943084418866413243 21303644622 29268282625 37195949705 42957469452 53275881913 5051435427834233993550 48416686615 70975000000 100284000000 140870000000 185155000000 20039600000019313053394 21503480366 26712386275 34193359885 41512861068 49222224016 49734769979

13.145441509 11.34169169 24.2235481 28.005635787 21.406206374 18.571022929 1.041289730596601540643 1.07558E+11 1.33612E+11 171031021212 207642274577 246203568998 248767261478

20.078297228 19.65186917 21.04696609 23.739454024 27.334661873 30.81284469 30.103592073841578659.22 2131357861 2993426750 -2242127518 -6170847958 -8353858549 -9920571902

1527084031 4843926354 7259000000 -6045000000 -20236000000 -29033000000 -393560000003468999334 5577627973 5374817909 -15433321599 -32989268231 -46344494376 -53934043090

0.8956374613 1.966103293 2.152587909 -1.430985996 -3.926628932 -4.831569873 -5.91207893241.052231917 41.26984163 44.2465201 46.047922052 50.742694813 56.794119507 54.295105214

7338212430 7535150523 9815751058 10399465895 9183390307 9141393796 772930420413315531350 17125098919 23803000000 28038000000 30115000000 31770000000 30663000000

7994303202 6801500996 7496292529 7626988718 7643310115 7917164726 78802827506.0003320427 -14.92065256 10.21526767 1.7434777115 0.2139952923 3.5829320942 -0.46584828535507316258 30209392964 33295363318 33875860557 33948353303 35164699749 35000885599

8.4113284897 7.943225265 8.006525505 7.5464486904 6.6183322198 5.9507197243 5.227642761525884749565 27406253477 27491316718 29672843414 2809097806762770000000 73890000000 90152000000 103125000000 11144000000019124408679 20843990686 23721922652 25325978474 26391572856

8.9915564768 13.80701042 6.7619132139 4.207515151683636193579 91156389159 103742361309 110757329747 11541746117721.11370861 19.887548817 19.812581314 19.315957556 18.999070846

33818443628 32771721444 43115407137 46270538927 46310024426 50477355125 4838963376461365155430 74480127466 1.04554E+11 124750000000 151864000000 175429000000 19196700000030992640333 33414314811 36477429118 38797345759 42819046260 44884727518 46214808890

4.8433473188 7.813708196 9.167072028 6.3598688214 10.365916591 4.824211277 2.9633272733149971506482 1.6169E+11 1.76512E+11 187738002583 207198767340 217194473639 22363065671338.763941638 34.54651171 35.16843539 33.576555893 33.37494286 32.858949025 32.7278771815.9180271558 7.879073401 8.519760842 7.7272796846 7.3120134692 6.7440309449 6.589236079628.296028606 16.12837248 18.20546349 23.44578953 23.630822075 24.511137788 5.918103026214.490691844 18.01282346 16.69651402 18.15932277 16.736292947 16.213294209 17.70747426741.347551121 46.18306752 46.10184106 42.893590754 44.936596664 45.462042594 63.0111556549.9477012737 11.79666314 10.47642059 7.7740172618 7.3842748455 7.0694944643 6.774030973946085358554 54555734487 69665729202 81136085457 83263450320 93999539621 9173554552383624049107 1.23989E+11 1.68938E+11 218751000000 273045000000 326686000000 36392500000067343421128 71215617383 75069065438 79461875958 83669230019 87775213173 92452786126

2.8583781899 5.74992507 5.410959277 5.85169203 5.2948083724 4.9073992357 5.3290362774336768920722 3.56133E+11 3.75403E+11 397370518999 418410526508 438943601488 46233506524952.824729872 57.51026303 56.8250391 58.876995416 60.00672492 61.190331251 62.044480057

4296846095 4937980500 7142594899 11628739214 9767234831 9186711212 72577276665.0814860824 5.146253968 5.211021854 7.4730438582 6.2600694983 5.349907923 4.3472969176

1843181523 1794599193 1890144349 1992840956 1984088566 1869025045 18400119662.1797618652 1.870291553 1.37899232 1.280670896 1.271652881 1.0884321563 1.1021463901

Page 108: POL Country MetaData en EXCEL

0 0 0 0 0 0 00 0 0 0 0 0 0

23430038998 19042875448 19633151614 22154222766 21522951615 23367094435 2283526295027.708559827 19.84606325 14.32375538 14.237096157 13.794607712 13.607895227 13.678064651129416478.79 194554908.2 327482723.2 216943331.16 231688589.19 86265206.413 69507860.5210.1530490088 0.202760819 0.23892152 0.1394155461 0.1484951161 0.0502367932 0.0416344236150952506.43 129316616.3 136453158.3 188633661.19 233982887.14 133093154.05 119838746.95

0.178517695 0.134770915 0.09955211 0.1212227394 0.1499655901 0.0775071843 0.0717820562489573535.46 501833112.7 637038645.2 753243379.33 719609845 726639371 698124570.230.5789737524 0.522999361 0.464764186 0.4840611442 0.4612162725 0.4231605455 0.41816873440.3315667038 0.337531734 0.338473629 0.2606382855 0.2984607062 0.1277439775 0.113416479816.150874525 19.03938721 20.41594875 19.976505907 20.224219084 21.366713557 20.1674497

-9773045551 -774029147 8350390865 8931046104 10031761494 13323224320 10833902145-11.5576853 -0.806676043 6.09219337 5.7394097504 6.4296113724 7.75881833 6.4893850488

60848440056 76586164220 1.1697E+11 133049339368 134035760236 148130730838 143923445828100909602675 1.10661E+11 1.13029E+11 120579886711 129355299704 137173966687 1428746110655.9473279317 9.663127097 2.139859999 6.6808558673 7.2776756 6.044334481 4.1557771602

-8089323500 1543647522 12501866888 17408123990 16629626438 19694912756 15364146668-9.566501541 1.608755277 9.120985089 11.187083283 10.658351011 11.469389574 9.2029503621-7599749965 2045480635 13138905534 18161367369 17349236283 20421552127 16062271238

-8.987527788 2.131754638 9.585749275 11.671144427 11.119567284 11.892550119 9.6211190964100910668934 1.18319E+11 1.47277E+11 160721475091 177814425721 207597923897 199911574026

0 0 0 0 0.0619334145 0 030.642796312 37.23403485 27.97830992 17.912918236 13.92264314 11.067120619 5.986422284829.583215892 40.59824081 51.95694244 61.263947058 69.79350778 77.51763947 82.158172714

-697425198 -383946680 0 0 0 0 0-8433358476 -6660769261 -2514154161 -1170437408 1883708689 4120739223 407114468987242014612 94862606454 1.22597E+11 137806090279 138756865053 153618288542 147854483491

158304735887 2.15594E+11 2.97295E+11 371539000000 455024000000 533885000000 586555000000106110534602 1.11349E+11 1.18903E+11 125765528949 134009223431 140459212955 146486324002522247743462 5.48032E+11 5.85211E+11 618984382139 659557647151 691302774877 720966607560

0.445525121 0.365443524 0.325725135 0.2981486421 0.2983175307 0.2492285159 0.2616247980.2412388463 0.316036181 0.376861642 0.22157601 0.2359286298 0.0798432191 0.066226849293964209359 1.08405E+11 1.39062E+11 156684099254 157153835129 172901536514 167801749888

170502474199 2.46372E+11 3.37222E+11 422436000000 515353000000 600902000000 665688000000116854450200 1.23039E+11 1.31593E+11 139802810346 149709629670 157167615405 1642781904943.7383103154 5.292802054 6.951856622 6.2389167966 7.0862805253 4.9816339479 4.5241986214

576348679686 6.06854E+11 6.49041E+11 689534416715 738396759802 775180983458 810251710825243971595083 2.62258E+11 2.8631E+11 310891280480 339645258538 362442201737 382559082423308353596477 3.24674E+11 3.47245E+11 368909350855 395051302340 414731312129 4334945804350.2562627891 0.185349318 0.137149974 0.1688140549 0.1562444396 0.1071825094 0.0854993082443.2306966 2812.533921 3603.794106 4057.2815592 4066.0759412 4471.6517903 4340.67333773038.2260109 3192.290062 3409.582827 3619.5492728 3873.5044414 4065.0146169 4249.27674443.4746827803 5.07085551 6.806798915 6.1581271433 7.0162097399 4.944106257 4.532877367514985.116501 15744.99011 16816.71992 17852.314917 19104.870775 20049.435886 20958.2522286343.6801551 6804.193443 7419.731102 8050.424167 8787.7169091 9373.6316806 9895.98743928017.2207028 8423.762381 8997.150947 9551.2069415 10221.339653 10726.693547 11212.9214110.0251202994 0.024713383 0.019878039 0.0238477512 0.0200105767 0.0126989449 0.0234297270.9681470558 0.891542406 0.85961479 0.7123864581 0.7105011768 0.4489531892 0.436780682214724015480 20279631255 29020445529 30466228997 30649317383 34977844277 3246519506626717418116 46089416556 70374000000 82140000000 100508000000 121562000000 12879300000084440414389 98157013233 1.22097E+11 119245407507 126957371433 139576140317 13995346804315.66981256 18.70725255 20.86874522 19.444365537 19.502748601 20.229921019 19.347351913

117670000000 1.2469E+11 1.3415E+11 141830000000 151480000000 160040000000 166570000000577188808643 6.12037E+11 6.57332E+11 694658192192 741558179177 782919832733 815330066463

92946939406 1.05526E+11 1.22371E+11 145079783958 161354230728 166660708196 16955001219190252506239 1.07473E+11 1.37059E+11 155612922369 155981935114 171724405824 166851940077

Page 109: POL Country MetaData en EXCEL

163767414438 2.44253E+11 3.32365E+11 419548000000 511510000000 596811000000 661920000000120611855490 1.23218E+11 1.32555E+11 139755579098 149748960693 157113212991 1640284633213.1210790027 2.160447534 7.57819978 5.4319153178 7.1506137065 4.9177318255 4.4014441549

599182649056 6.12128E+11 6.58516E+11 694285961890 743931669043 780516233492 814870219629234334413683 2.60003E+11 2.82186E+11 308765860256 337112515489 359974659530 380393679678

2420 2740 3170 3760 4170 4310 43903135.9188798 3196.915753 3434.519885 3618.3264374 3874.5220706 4063.607542 4242.81721462.8590200219 1.945103675 7.432292571 5.3517393507 7.0805008253 4.8802269777 4.410112708615578.801719 15881.82556 17062.2093 17975.334274 19248.077966 20187.42786 21077.716181

6090 6750 7310 8000 8720 9310 984011772312359 20599466569 27975542413 31089052112 31512417368 36697713587 3372938525521361414075 46816304674 67840130840 83819193400 103338355150 127539233800 133808181540

13.043751193 19.16710538 20.41133418 19.978451429 20.202607016 21.370121161 20.21515916412.5285068 19.00228947 20.11735024 19.841867975 20.051955679 21.224631271 20.10073511

554422319068 6.06819E+11 6.47984E+11 689944163569 736051936372 777642324249 810743791141-3711703120 -932164686 -2002903117 -1071176885 -1171900015 -1177130690 -949809811.2-6735059762 -2118526022 -4857000000 -2888000000 -3843000000 -4091000000 -3768000000

-22766489574 -5218270496 -9348125143 -4714028623 -5506242804 -5277508484 -45862753226722194747 13542575978 16464878061 18878008976 18396970076 19283247971 19947266398

12197738312 30778144713 39927000000 50897000000 60329000000 67017000000 7913300000054100936224 58821557778 63830755280 70550034576 78839112650 83878208581 89285103265

840128957.13 5183166452 8290419873 5123775478 3161419375 7738849275 50783556381.814547 2.272695 2.42498 2.6961 3.27929 3.4754 3.96711

1.8114966667 2.272276667 2.424983333 2.6961 3.2792916667 3.4754 3.96710833330.698861989 0.939425346 1.177822823 1.358790119 1.517327232 1.657925035 1.740092003

0.3851440547 0.413353022 0.485704139 0.5039835759 0.4626999235 0.4770458177 0.43862963290.776641255 1.043413996 1.306043333 1.514319596 1.697409524 1.858082433 1.947929239

66.688055734 68.04140035 73.58477987 79.900665839 82.527354395 87.154059617 85.02904190999.9

100.100200499.899.898.999.599.2

98.05 98.208 97.718 97.51 97.38399.057 99.035 98.657 98.669 98.119

100.207 99.941 99.555 99.737 98.757131.313 137.051 141.393 145.253 146.055 136.627 137.868

41.56061 42.11763 44.50718 46.06712 47.89393 49.41546 49.0230841.69664 42.29862 47.58647 49.43796 49.0943641.43076 41.9452 48.18564 49.39412 48.95519

7 7 7 7 7 7 7

98.18399 94.31573 98.51456 96.39662 96.575556 6 6 6 6 6 6

4026899 3973296 3674692 4905367 343376248.413686479 48.3169815.211525163

100.18408 99.79029 98.16432 98.71851 99.5229699.17613 98.86831 97.00561 97.44499 98.17699101.1487 100.67239 99.27077 99.93324 100.81508

98.644694804

Page 110: POL Country MetaData en EXCEL

99.55597708198.858582773 96.14622539 98.482264305 99.111871098 101.37283

97.3591397.02905

97.676

0.7120160428

99.398911831 98.858168419 98.57188

98.483498891 98.32548

1.25427 1.36443 1.30683 1.19876 1.16164

322590

96.0421896.0935395.99326

911165020640910

13 136 6

398404748.9411 48.89125 48.83502 48.88929 48.67099

2168238 222423755.542420068 55.42892856 55.064948369 55.053412033 54.58024

21.0105584951762077 1759810

41.320398383 41.24978021 41.32559232 41.371468926 41.277426836 41.304324385 41.2022394.46546 95.29948 97.0968 97.95488 99.717494.56545 95.27085 96.87597 97.8233 99.0814294.36982 95.32688 97.30851 98.08106 100.32802

97.325503506 99.66305227 100 99.623797115

1.20167 1.24096123976

23.83015 27.40785 31.02599 35.03776 39.4692 38.85122 45.7518727.13909 31.79854 36.47428 41.6536 47.02333 44.99294 53.1986820.66748 23.20199 25.7964 28.67653 32.19572 32.93111 38.58659

Page 111: POL Country MetaData en EXCEL

10.90844476236.310264825 21.08535

11.445294.9930105064 4.64848

13 13 13

0.1 0.1 0.1 0.1 0.1 0.1 0.1

15.6 14.7 13.9 12.9 12 11.1 10.310 10 9 8 8 7 6

100100100

95 96 96 97 98 98 9895 96 96 97 97 97 97

5.5999999046 5.599999905 5.5 5.5 5.4000000954 5.3000001907 5.0999999046

2.2 2.3 2.3 2.4 2.4 2.3 2.3

45000.022323206

96

8.6 8.2

14

92 83 75 6987 87 87 88 86 88 8750 50 48 46 42 40 36

5.3 5.4 5.4 5.2 5.3 5.4 5.30.075603899 0.055510796 0.0484973968 0.0481140973 0.036805050627.10928192 26.611343861 28.042785932 34.616359999 28.870435375

100 100 100 100 100197.6352575 237.94593376 227.8148437 263.73892439 248.7640822

Page 112: POL Country MetaData en EXCEL

406.2148149 472.85856737 492.52718096 553.60548222 567.553061241.484482033 1.5637871772 1.5719322484 2.0444265454 1.65558039272.89071808 73.388656139 71.957214068 65.383640001 71.1295646258.365184426 8.4550445772 8.6854607218 8.7081181698 9.54854273343.991435909 4.3126059332 4.0335459384 3.8615281693 4.07893788085.475917941 5.8763931104 5.6054781868 5.9059547147 5.7345182728

13.04 12.38 12.28 12.1817.87 16.4 16.5 16.5223.63 21.92 22.22 22.4138.93 41.07 40.99 41.0323.74 26.48 26.18 26.07

1.98 3.45 3.33 3.276.53 8.23 8.01 7.868.48 11.32 0.43 0.444.19 1.4 0.11 0.093.33 2.19 0.12 0.11.57 0.29 0.05 0.04

32.32 32.66 32.85 33.08

14.3

24 22.5 22 20.3 19 17.524 22.7 22.2 20.7 19.4 18.524 22.6 22.1 20.5 19.2 18.1

25.9 24 22.6 22.6 21.4 22.2 19.334.5 31.6 31.1 31.5 30.3 29.2 25.430.2 27.9 27 27.2 25.9 25.8 22.4

47.3 47.1 46.6 46.8 47.12.1 2.4 2.6 2.9 2.8 2.8 2.84.1 4.6 4.8 5.1 4.9 5.2 4.83.2 3.6 3.8 4.1 3.9 4.1 3.9

29.9 29.2 27.7 27.5 26.3 25 24.132.2 32.4 31.4 31.1 30 29.1 29.231.2 30.9 29.7 29.5 28.3 27.2 26.9

45 44.1 43.7 43.6 43 43.2 42.260.4 58.7 58.4 58.4 58.9 58.3 55.752.3 51.1 50.7 50.7 50.6 50.4 48.727.8 26.8 25.1 24.7 23.5 22.2 21.328.1 27.7 26.6 26 25.1 23.9 24.4

28 27.3 25.9 25.4 24.4 23.1 2370.1 70.8 72.3 72.5 73.7 75 75.967.8 67.7 68.7 68.9 70 70.9 70.868.8 69.1 70.3 70.5 71.7 72.8 73.1

8.4 7.4 7.7 7.9 6.7 6.3 5.85.5 4.8 4.6 4.7 4 3.6 3.16.8 6 6 6.2 5.2 4.8 4.3

12941 13711 14540 15283 16131 16751 1823021.3 21 20.4 20.6 20.7 20.140.8 41.1 41 41.1 41.3 40.531.9 32 31.7 31.9 32.1 31.3

Page 113: POL Country MetaData en EXCEL

54.6 56.5 57.7 59 60.3 62.335.1 36.1 36.8 38.3 39.3 4143.9 45.3 46.2 47.6 48.7 50.6

53.2 52.5 51.2 50.6 49.4 49.1 48.669.2 67.7 66.5 65.8 65 64.3 63.260.9 59.8 58.5 57.9 56.9 56.4 55.6

16.6 16.6 19.28.2 8 9.8

61.1 62.2 61.211.9 11.8 14

22.9 21.5 21.5 19.8 18.322.2 21.5 20.7 19.5 18.4

25 22.5 21.5 21.1 19.6 18.360.8 61.5 61.9 63.1 63.266.8 67.3 68.1 69.2 69.9

62.3 64 64.7 65.2 66.4 66.816.3 16.9 16.6 17.1 18.6

11 11.2 11.2 11.4 11.712.7 13.5 13.8 13.7 14 14.8

45.527468563 45.76291902 45.62921138 45.56926638 45.277633976 45.408219018 45.59803737417827119.603 17657425.82 17420079.19 17395728.789 17260346.94 17272657.654 17179039.22

32.48037 34.65117 33.79092 31.24005 28.02713 25.20479 31.9861528 30.77601 28.99499 26.27819 21.96201 21.53483 28.25024

30.0451 32.56008 31.16418 28.49864 24.698 23.20287 29.9629441.6 43.8 43.7 42.5 41.9 41.8 38.336.4 36.8 36.2 35.2 33.5 32.5 31.439.1 40.4 40 39 38 37.4 34.823.4 22.7 21.9 21.8 21.7 21.9 18.826.5 25.5 25.6 25.3 26.5 26.6 25.124.8 24.1 23.8 23.5 23.9 24.1 21.870.1 71.2 72.6 72.1 72.9 70.8 73.669.1 70.5 70.9 71.6 69.7 69.3 70.769.7 70.9 71.7 71.8 71.5 70.1 72.2

6.5 6.1 5.6 6.1 5.4 7.4 7.64.4 4.1 3.5 3.2 3.7 4.2 4.25.5 5.1 4.6 4.7 4.6 5.9 5.9

15.6 16 14.7 13.9 13.2 12.3 13.512.6 13.1 12.1 11 9.5 9.3 11.7

14 14.4 13.3 12.4 11.2 10.7 12.5

-235011810 393 600 600 835 898 942

Page 114: POL Country MetaData en EXCEL

13390 35938 19732 12869 7294 1880 1802963600

2.4971752585

120

20.382 19.2916 18.2012

95.999022911 95.11502732 93.76173798 91.303774484 91.335250284 89.015879438 89.255212703250.04602827 246.6928852 249.8318626 239.59924247 238.9040039 234.06262362 233.97309162

12.8 12.5 11.2 11.1 10.7 10.2 9.910.2 10 10 10 9.8 9.7 9.9

13.7 13 12.1 11.3 10.5 9.6 8.976 76.1 76.4 76.6 77 77.3 77.5

71.595121951 71.69512195 71.89268293 72.246341463 72.646341463 72.997560976 73.04390243967.4 67.5 67.6 68.1 68.5 68.9 68.81.85 1.798 1.61 1.58 1.513 1.44 1.37

86.0052939 86.441879766.3994511 67.1302793

23.88576305 23.39203415 22.83035706 22.20095138 21.514802347 20.795622297 20.07462219265.415092782 65.69279347 66.03130233 66.433214042 66.891108766 67.38270166 67.87801215510.699144168 10.91517238 11.13834061 11.365834578 11.594088887 11.821676043 12.04736565352.869919994 52.22369869 51.44332533 50.527114249 49.496699703 48.406041219 47.323112191

16.35577313 16.61547911 16.86827341 17.1086628 17.332780246 17.544081422 17.74855401736.514146864 35.60821958 34.57505192 33.418451449 32.163919457 30.861959798 29.5745581730.2454972656 0.219732915 0.11409132 0.0787507633 0.0828285961 0.0417635908 -0.021067157

1359.2867985 1441.1103034 1457.6947048 1466.3022525487.92785258 463.8082961 439.52171817 399.15182964

38459000 38543600 38587600 38618000 38650000 38666145 3865800051.363350976 51.38414916 51.40574891 51.428114943 51.450950392 51.473936023 51.496670927

14837482.2 14854703.44 14856226 14852482.8 14849330 14840066.451 14821477.20.1418703288 0.115998479 0.010249158 -0.025199345 -0.021229681 -0.062403083 -0.125342455

38.58 38.54 38.5 38.46 38.42 38.38 38.340.3106438632 0.284837098 0.179153138 0.1437702764 0.1478058616 0.1066986607 0.0438257706

23621517.8 23688896.56 23731374 23765517.2 23800670 23826078.549 23836522.861.42 61.46 61.5 61.54 61.58 61.62 61.66

19215000 19410000 19520000 18780000 1795000036387000 44713000 48610000 49328000 55097000

6927000000 8764000000 9053000000 8321000000 649800000019.39466906 23.493459146 22.834586087 19.213983883 16.911745569

313000000 320000000 374000000 375000000 398000000365000000 117000000 105000000 94000000 210000000

6614000000 8444000000 8679000000 7946000000 61000000005500000000 6240000000 5750000000 4430000000 36000000005865000000 6357000000 5855000000 4524000000 3810000000

17.33924612 15.434481754 12.64688094 8.7122306315 7.310895344836.524545073 36.82480773 37.35390517 39.298818638 43.307883606 43.542123175 43.648390183

Page 115: POL Country MetaData en EXCEL

100 100 100 100 1004.1 4.09 4.08 4.08 4.08

1.044082 0.8497304 1.446893 0.2822267 0.2100069 0.3297073 0.35135153.15 3.96 4.23 2.72 2.11 2.84 3.527.07 7.02 6.57 5.56 5.77 5.05 4.59

0.0496596 0.0514988 0.1526135 0.1569675 0.1204777 0.1888567 0.12425334.47 4.96 5.3 3.14 2.87 2.86 3.17.01 6.82 6.4 5.03 5.23 4.1 3.5

100 100 100 100 1005.47 5.73 5.5 5.47 5.56

5.056185 5.131768 7.355046 9.712525 8.587495 6.32093 4.3905833.68 4.35 5.72 3.9 3.31 3.68 3.977.18 7.19 8.99 7.34 7.5 6.48 5.29

0.6747709 0.7808254 4.391031 10.6194 10.12206 6.933804 5.6227044.12 4.44 6.27 4.01 3.62 3.29 3.13

6.3 6.14 7.36 5.75 5.79 4.6 3.63100 100 100 100 100

10.36 11.62 10.59 10.46 10.8917.09331 17.62777 25.71892 30.76033 27.75367 21.33961 12.61151

6.31 6.34 12.97 9.73 9.31 7.96 6.217.66 7.88 17.5 13.59 13.62 11.49 7.77

2.548808 2.908053 17.55357 33.96999 33.00318 23.8408 16.812083.62 3.54 8.79 6.23 5.58 4.8 3.31

5.2 5 9.94 7.69 7.39 6.38 4.122.3002593957 2.921485772 3.24402222 2.6449470371 2.3554100265 1.9892258697 1.813789954311.204171642 10.58248054 9.546730598 10.117537192 8.349881834 7.6829219504 6.704296968312.431862377 10.54974888 9.173819313 9.199794566 8.8425391495 6.3740899884 7.2211947991

8.0812127084 8.4526267382 9.3229111082 10.1288753281.0327733407 9.690336359 13.62728311 14.884393064 18.324420677 18.675721562 13.90960947869.494564089 72.99128719 74.38326344 74.975325474 77.494031255 80.24020623 79.7445218522.9789058599 2.913978251 3.188776529 2.7300053558 2.7255777492 2.6323175228 2.5699906410.4171958088 0.445630898 0.613368996 0.5113239189 0.2934982598 0.3443657605 0.291672048420180000000 22680000000 29050000000 37135000000 42310000000 47055000000 45883485588

82.143683848 81.50752315 82.79927229 82.873723791 83.689894907 85.268694126 84.37485638217.77854819 18.24896543 17.09294476 17.005597065 16.131473083 14.625554303 15.550367585

2.1039716451 2.561431879 2.893482111 3.2762110998 3.5305289409 3.9740752343 4.230893298210.191107015 10.35224406 10.03936998 9.9697231787 9.1542502474 7.6338837717 8.59168574861.0358461035 1.554543423 1.444572385 1.8545226204 1.6183523293 1.3728726318 1.23220646911.9130398311 1.228415043 1.112531648 0.5574069427 0.3637962822 0.3475790475 0.30802733161.4365624097 1.478222409 0.537847611 0.5374997442 0.5035394709 0.4918156814 0.50102816771.0980211855 1.074108622 1.065141024 0.8102334794 0.9610058127 0.8053279359 0.68652657040.0777679618 0.243511416 0.107782947 0.1206791443 0.1786320094 0.1057515713 0.074776032418835520000 21569420000 29050050000 37137320000 42328360000 47054620000 45911770000

59.35815546 75.882403423 86.447337771 95.002676736 93.79426320356.871385293 45.32835024 55.29394977 48.619139371 42.834224599 43.725883624 51.235922188

3631000000 3746000000 7008000000 6228000000 5610000000 6479000000 683700000036.890663729 36.43886813 25.2283105 27.13551702 28.342245989 25.667541287 22.29047828

5.205177637 8.542445275 5.850456621 9.3609505459 10.499108734 11.930853527 12.563990054

3.264667762 3.223234079 2.780770836 2.2370463858 2.2018504856 2.0150000202 1.940295459211.016383917 11.55392871 10.41962484 10.802432034 12.320298383 10.581451414 8.96908221788.8387086418 8.944401786 8.017977294 6.7614988109 6.5915080716 5.3926376176 4.8990673775

2.6551936331 3.568794639 4.5935185803 4.53657964763.5872411331 3.32081142 8.301212748 7.6082474227 10.429309957 14.01480111 8.7024366823

Page 116: POL Country MetaData en EXCEL

66.085739097 67.9593949 71.14596832 74.22971556 72.938969922 77.200074781 76.8679366328.9227547967 8.034553476 7.257570137 5.8393551066 5.8616422154 4.6066239972 4.88436927672.2289581795 1.742569055 1.514626274 1.5799307574 1.5444100588 1.1811349625 1.230356956514140000000 17240000000 22895000000 24440000000 25750000000 28230000000 2735927693881.74389154 83.20147123 83.11720972 80.560711593 77.69202726 82.08470427 85.802296623

17.809552405 16.49660495 16.65120962 19.108149501 22.042855329 17.62982824 14.0765458282.2253268384 1.567916041 1.123119515 1.4737241056 1.0819473935 0.585549657 0.80640586619.0727575232 9.921880256 12.21285233 14.670353393 18.073148583 14.633203417 10.2847319161.4926366433 1.381542166 1.127948296 0.9409491507 0.8599097174 0.8997369358 1.03648152762.1141541059 1.604801088 1.296973105 1.138513066 1.331010848 0.9415250081 0.8721278532

1.577160701 1.484083755 0.557973099 0.3314823385 0.3211800804 0.2573528111 0.38673476611.3275165936 0.536381647 0.332343273 0.553127448 0.3756587072 0.3124604112 0.69006572310.4465560544 0.301923822 0.231580666 0.3311389056 0.2651174113 0.2854674892 0.121157549314154550000 17242760000 22904330000 24458920000 25756890000 28259260000 27408940000

72.33510156 77.216417651 81.359375444 85.908951607 86.55852998144.060937872 25.10894065 41.43085456 31.463917526 28.781748708 19.694727105 24.174768935

4201000000 6655000000 10637000000 9700000000 8898000000 10810000000 8331000000251747000 307466000 435229000 521579994 477586033 621671016 543176000

2.7749542787 2.4412825 2.575893456 2.9155925833 2.6182760274 2.9486592435 2.649377480848.85265413 36.63410969 28.58888784 28.371134021 34.974151495 26.586493987 29.0361301163.499166865 34.93613824 21.67904484 32.556701031 25.81478984 39.703977798 38.086664266

0 0 0 0 0 0 0

1155600 1310690 1319388 1302908 1310500 1310510 1305510

187150 187070 186220 184740 184570 184430 18435061.477563892 61.45734091 61.18010382 60.6978578 60.642002891 60.594013865 60.569720068

14305000 14300000 14210000 14004000 14006000 14057000 140720000.371954549 0.371008416 0.368253014 0.3626288259 0.3623803364 0.3635480082 0.3640126235

46.990999277 46.97920431 46.68506472 46.011302405 46.017873571 46.183920886 46.234722048506175 8480988 8571225 8720104 8899419 8843719 8701311

1.1924315091 1.156411183 1.199158946 1.1335260875 1.0349586017 1.0579229228 1.0809567617

600304420 304390 304380 304360 304360 304370 304360

807.82943027 916.5664336 928.4926108 930.38274779 935.67042696 932.2828484 927.7359295123417080 21763445 25905314 25297819 25399486 27158723 25750319

120 92 106 109 98 109 97107 91 97 103 99 104 99

98 92 94 98 99 104 103312690 312690 312690 312690 312690 312690 3126902752.9 2566.1 3022.3 2901 2854 3070.9 2959.3

8.3350884911 9.739386774 12.80941598 10.269070108 9.3271665868 10.100546445 9.144719891356.871383531 46.92925794 56.10815265 49.550686804 44.15810552 44.957727536 52.248639358

4192000000 3109000000 3084000000 2602000000 2596000000 3404000000 284700000020718000000 21778000000 33825000000 41187000000 46296000000 51927000000 52114000000

Page 117: POL Country MetaData en EXCEL

1.0327733407 9.406582016 13.37909779 14.614535709 17.900052238 18.266908213 13.62073904317087000000 17919000000 26687000000 34844000000 40553000000 45303000000 45132000000

3631000000 3859000000 7138000000 6343000000 5743000000 6624000000 698200000018000000 44000000 144000000 175000000 195000000 491000000

24910000000 24887000000 36909000000 43789000000 48892000000 55331000000 5496100000036.890663729 35.37185799 24.76884281 26.643544064 27.685878461 25.105676329 21.827556574

5.205177637 8.292303706 5.743905856 9.1912344317 10.255963782 11.66968599 12.3030650240.0191562299 0.026751489 0.030202407 0.0338260234 0.0286343632 0.1827629797 0.0184741816

5080000000 922000000 1501000000 1131000000 665000000 603000000 632000000155000000 262000000 243000000 181000000 176000000 191000000

-5788000000 634000000 854000000 -3264000000 -5744000000 -6901000000 -12487000000-6.159792159 0.584842888 0.614115603 -2.083172457 -3.655017388 -3.991288996 -7.441519536-3613000000 -2563000000 -1995000000 -1075000000 -1129000000 -1178000000 -1010000000-2935000000 1945000000 1891000000 -3883000000 -6650000000 -8620000000 -13691000000-3505000000 -895000000 -1646000000 -7287000000 -9822000000 -12836000000 -15072000000

218942864.83 222445563.6 -563601315 321289816.44 1309264354 -519611124.3 21255929981697000000 1846000000 3617000000 4445000000 4863000000 6049000000 72390000001697000000 1222000000 4794000000 4749000000 6973000000 7746000000 7382000000

1.8060067887 1.127252381 3.447388996 3.0309393376 4.4370536642 4.480006457 4.3992389858-624000000 1177000000 304000000 2110000000 1697000000 143000000

-237942864.8 -910445564 -9839398685 -3828289816 -3044264354 -5926388876 423407002.14760000000 1252000000 958000000 1694000000 2035000000 2897000000 2214000000

2090000000 9215000000 285000000 95000000 51000000 52000000 21000000211000000 314000000 343000000 406000000 460000000 407000000

3.149723839 2.941451991 3.5190314969 4.5541222658 4.2435424354 4.866674638344.060937872 25.60083595 41.63934426 31.794398276 28.917554683 19.91697417 24.464904938

579000000 546000000 1089000000 1527000000 1467000000 2226000000 183700000017783000000 23723000000 35716000000 37304000000 39646000000 43307000000 38423000000

3.5872411331 3.298999851 8.271662763 7.5715604801 10.409422322 13.97601476 8.669137869213582000000 17024000000 25041000000 27557000000 30731000000 32467000000 30060000000

4201000000 6699000000 10675000000 9747000000 8915000000 10840000000 83630000001000000 4000000 24000000 27000000 22000000 25000000

18362000000 24269000000 36805000000 38831000000 41113000000 45533000000 4026000000048.85265413 36.39349157 28.48711944 28.234328511 34.907459338 26.512915129 28.9250269043.499166865 34.70667264 21.60187354 32.399712732 25.765563657 39.594095941 37.9409302881715000000 1875000000 3659000000 4498000000 4908000000 6365000000 7270000000

1.8251630187 1.729622107 2.63120491 2.8707443968 3.123054551 3.6812859668 4.33249355550 0 219000000 749000000 599000000 1734000000 14000000

5840000000 2174000000 2459000000 2825000000 2700000000 3520000000 2898000000558000000 696000000 723000000 797000000 938000000 698000000581000000 724000000 774000000 848000000 1070000000 825000000

0.535952237 0.520631964 0.4939875863 0.5395986673 0.6188493298 0.49165160710 0 0.3308387 0.3263626536 2.3369187712 1.3170362091 1.474601774

71.800003052 -18.50909996 -12.25300026 22.2999992372710000128 3060000000 4564000000 8390000000 12135000000 20461000000 29576801900

3.1566455739 3.106096094 3.281995837 5.3547258542 7.721730291 11.833904902 17.60963004422 44 65 83 143 198 221

2169999872 5134000128 2770000000 5538000000 7951000000 8918000000 111492100002.5276458183 5.211339132 1.991921225 3.5345020001 5.0593718619 5.1578497588 6.6380896776148.02181291 177.9549398 72.66526758 85.502547476 77.476248477 54.718370352 44.563148566

260000 50000 220000 160000 0 0 0328930000 190120000 189800000 151110000 122060000 117320000 108730000

2300000 310000 430000 670000 1350000 40000 4000003150000 2200000 157230000 133650000 121380000 116830000 125260000

108580000 247980000 306170000 281640000 234820000 426830000 59291000025170000 8760000 8450000 12820000 2080000 1190000 310000

105250000 92680000 2676350000 96860000 72280000 65540000 62200000

Page 118: POL Country MetaData en EXCEL

0 4890000 4900000 13080000 12820000 17780000 179500000 0 -4320000 500000 260000 840000 1720000

1360000 1570000 4550000 1250000 2830000 3850000 -920000280850000 267040000 291890000 316960000 220140000 76610000 208590000

19020000 18280000 19070000 20640000 23500000 17030000 94800000 500000 420000 270000

100000 130000 240000 210000 240000 0 05460000 1150000 7440000 480000 1020000 190000 1970000

94850000 92850000 103160000 89210000 4770000 2500000 -261000042240000 4960000 390000 180000 50000 -27260000 90000

40000 0 50000 80000 260000 350000 800004940000 0 3750000 360000 0 8660000 390000

21050000 25790000 3380000 2960000 3000000 580000 1000000 0 0 0 0 0 00 0 0 10000 210000 10000 0

6040000 6340000 7550000 5350000 7890000 11380000 84600001070590000 1806100000 3784700000 1161180000 857460000 870920000 1173120000

21000000 841000000 4000000 33000000 26000000 30230000 37740000

0 0 0 0 0 0 0

317048679.53 672289192.5 191256840.9 266268739.7 83462083.2 -29381696.88 58718462.490 0 0 0 0 0 0

0 0 0 0 0 0 0430000 430000 460000 540000 590000 920000 820000

0 0 0 0 0 0 690000

10000 80000 190000 140000 230000 140000 1600000 0 0 0 0 0 0

530000 1050000 960000 790000 1180000 1980000 9500000 0 0 0 0 0 0

1071560000 1809520000 3788880000 1164370000 860480000 875320000 11791500001558410000 2541810000 4513200000 1546540000 1279880000 1326970000 1847040000

Page 119: POL Country MetaData en EXCEL

1071560000 1809520000 3788880000 1164370000 860480000 875320000 11791500001558410000 2541810000 4513200000 1546540000 1279880000 1326970000 1847040000

1751.2164736 1539.497736 1757.630136 1835.6170201 1886.3055565 2000.7997792 2062.90124356.21593 5.94578 5.90878 5.99252 6.12105 6.19145 6.194918.77128 9.28123 9.05039 8.55377 8.98038 9.13012 10.02176

17.75025 17.34652 17.69782 17.75321 18.14716 18.45375 18.982236.32348 5.97181 5.57358 6.37328 5.58545 5.59617 5.1363736.0902 36.15811 35.84139 37.38878 37.4251 37.51921 36.592423.48255 3.67754 3.71216 3.63207 3.75044 4.01189 4.32711

445146.8 440361.8 460525.5 395462 403188.6 400916.3 407413.817.8578 18.06046 18.35039 16.64242 16.18378 15.0653 14.259673.50851 3.55855 3.86549 3.66395 3.80664 4.03212 4.48554

0.1650954 0.1637459 0.1642212 0.1643512 0.1639826 0.1655277 0.167702697349.201 97428.827 99361.316 98963.028 100014.755 87595.519 83919.249

128257000000 1.29371E+11 1.33009E+11 136764000000 136253000000 135646000000 13482500000097.327343507 97.05688178 97.05710658 96.86247291 96.67790116 96.359335374 96.30288355198.593857898 98.43203745 98.35670816 98.346247008 98.179302515 97.932812866 98.096442168

1488000000 1733000000 1887000000 1931000000 1961000000 2309000000 21550000001.1291632202 1.300133539 1.376950132 1.3676218536 1.3914215773 1.6402526088 1.539274719516929000000 17303000000 18070000000 18033000000 16685000000 15337000000 14572000000

12.846508169 12.98107942 13.18573868 12.77178917 11.838790932 10.89499968 10.40849708297000000 147000000 258000000 323000000 215000000 313000000 620000000

0.0736080863 0.110282533 0.188263452 0.2287632619 0.1525525952 0.2223469323 0.44285397960 0 0 0 0 0 00 0 0 0 0 0 0

1572000000 1686000000 1523000000 1772000000 1901000000 1902000000 18910000001.1929063053 1.264873138 1.11133813 1.2550108362 1.3488487601 1.3511305596 1.3507046378

131779000000 1.33294E+11 1.37042E+11 141194000000 140935000000 140771000000 1400010000001549000000 1784000000 1955000000 2064000000 2132000000 2533000000 2352000000

61000000 51000000 68000000 133000000 171000000 224000000 1970000000.0462896213 0.038261287 0.049619825 0.0941966373 0.1213325292 0.1591236831 0.1407132806

2.416905415 2.726278685 2.878306193 3.004502323 3.3265603222 3.795613286 4.11412069093.0547059252 3.375118472 3.490897422 3.5651980973 3.8692192944 4.3432019531 4.66189173043.5609817745 -1.28118973 0.110832681 4.3605703376 2.043350451 8.2671073841 9.7514777360.1267715416 0.154931004 0.163230571 0.1604887992 0.1653440601 0.2083134359 0.199677717895.586598288 95.33785937 95.45514128 95.895377144 95.895009372 95.750532832 95.971962269327.36375432 296.2858958 286.4592909 280.48932281 258.45007065 230.24487712 214.50519614

100943.791 96196.369 99471.563 103475.134 102101.037 95489.76 92986.844534.431 4566.166 4599.36 4349.862 4210.33 4157.651 3984.282

4.4920355725 4.746713465 4.623793837 4.2037751795 4.1236897525 4.3540281178 4.284780513

Page 120: POL Country MetaData en EXCEL

114527000000 1.15365E+11 1.18135E+11 122016000000 123920000000 123978000000 1226210000002977.8985413 2993.103913 3061.475707 3159.5628981 3206.2095731 3206.3708446 3171.9437115

2624.711797 2495.780597 2577.811603 2679.4534673 2641.6827167 2469.5960769 2405.37120393.492237685 3.494531317 3.486562878 3.4677247579 3.4382534626 3.4237708001 3.4105165957

16985.544 18632.027 20395.854 21631.633 21569.294 21789.314 21217.2624.8183246128 5.542586613 5.880922423 6.0284920083 6.1442359921 6.6647225089 6.6903322043.0167418562 2.732144574 2.635507013 2.5666385612 2.344867493 2.0801680496 1.9304641721

352519.711 336161.224 346813.859 358823.284 351049.244 326935.052 317133.16137520.744 40307.664 43149.589 48037.7 47931.357 49178.137 49984.877

10.64358753 11.99057509 12.44171416 13.387564894 13.653741696 15.042173269 15.7614791359.1661174498 8.721583454 8.987702241 9.2916071262 9.0827747477 8.4553309361 8.20355840961.4449211224 1.281795341 1.211324523 1.1541760948 1.0335761656 0.902033622 0.82897825611.1432320395 1.035380342 0.99875833 0.972659769 0.8886168503 0.7883056872 0.7315735313

291915.202 270323.906 276330.452 282193.985 274067.913 248497.922 238175.31782.808192816 80.41495768 79.67687704 78.644279115 78.071073413 76.008344924 75.102621324

851.6101.1

16367.318.56050168

61559.969.80886447

88183.517669.2

61.12408372475.2

28.165052885666.5

28907.1532.9

49.973477923 46.6662886 42.91320603 44.042990238 42.930332122 41.071366109 40.973708772217.6

-13.25533046 -11.29844353 -9.887792144 -12.33246908 -11.07081335 -11.16654701 -13.24195994

56.55 48.14 48.24 49 45.48 36.68 37.89197.37 196.46 182.28 189.03 183.49 177.12 171.71

49.97 50.77 65.43 69.76 66.37 57.86 49.5111.6 13.55 13.29 14.04 14.55 13.2 13.61

20.68 21.33 22.13 25.15 26.61 28.24 31.31

126.33532619 126.6257104 126.7744267 126.88263898 126.98777763 127.03664947 127.01406229

1645947 1648822 1651702 1654592 1657478 1660373 16632746.9679984747 6.960315757 6.95999313 6.962154394 6.963997232 6.9687212547 6.9778382273

1645947 1648822 1651702 1654592 1657478 1660373 16632744.2797446631 4.277810064 4.280395775 4.2845098141 4.2884294955 4.2941260371 4.302535051

Page 121: POL Country MetaData en EXCEL

53.61386.8046572

18.390007521 18.90447684 20.26133207 20.779433078 21.012858937 21.816065867 21.819134923.7766685845 4.354973651 4.355817432 4.3629044913 4.3638204003 4.3647329675 4.4469353001

4276726138 6023061884 14957024390 18018686050 20669498248 28276350644 27314254555

2.0602454297 2.904196673 4.862886902 4.9378664184 5.0730994637 6.13247922 5.96370252834091948693 5841784634 14774091640 17844030800 20407157439 27325171677 26354688055

26.840275544 18.70597759 2.860217346 6.4321983626 5.2189388157 3.4362829971 1.9516313484

64478300000 83906200000 1.01378E+11 133068612000 167213035540 202559330550 24197533731017235560442 26493059506 49183488566 61524314584 82807974662 96281130575 110548139438

20.012676355 15.12303498 19.08046677 22.722619883 18.616430017 15.579929674 15.15811202857073200000 78805200000 1.06875E+11 140237664560 180985844740 226552536860 270931067690

29.043889382 27.57587029 27.53085505 29.248532862 31.16538657 33.910552935 37.3661238117.3668740229 5.75806206 2.946606672 2.8867259472 2.6701436689 2.3053707271 2.5003188536

35.99250856 38.07741637 35.6192231 31.216528243 29.056516527 25.176937006 19.58862674619646000000 27450000000 37439000000 52330900000 61686245420 71669666130 8820088172057073200000 78805200000 1.06875E+11 140237664560 180985844740 226552536860 270931067690

29.043889382 27.57587029 27.53085505 29.248532862 31.16538657 33.910552935 37.3661238117.3668740229 5.75806206 2.946606672 2.8867259472 2.6701436689 2.3053707271 2.5003188536

35.99250856 38.07741637 35.6192231 31.216528243 29.056516527 25.176937006 19.58862674637427200000 51355200000 69436000000 87906764560 119299599320 154882870730 182730185970

28.115915415 37.46505573 47.98213247 57.490857808 66.161408713 73.918935567 79.2965381336.865805032 33.25212849 28.07169648 19.817221233 15.081616861 11.725153689 7.27534.708688942 45.14701944 56.68005384 64.160722777 71.978126486 77.19448407 81.469329529

37.13133515 33.4 26.78333333 20.016666667 19.191185751 18.219672823 11.222545.061624204 41.97229299 33.45 26.075 25.205366783 24.479225277 16.936666667

7.930289054 8.572292994 6.666666667 6.0583333333 6.0141810325 6.259552454 5.714166666711.036833487 3.452684424 4.275482371 6.9221268429 9.9038464454 12.075675127 10.33174263812.219702728 13.44068803 8.081604529 5.9568885881 3.8369912486 5.5758919441 3.949416666718.240732368 16.95688399 13.0569773 12.050443617 11.297951096 10.72446351 10.344934271

37.816635977 34.05672259 30.06268867 31.500301111 32.446310692 33.709212243 36.349661919.530742974 17.01963465 16.8933225 19.234345558 20.832331757 22.559005297 25.522256876

0.653685128 0.6521740818 0.6665147839 0.6889453426

Page 122: POL Country MetaData en EXCEL

2000 2001 2002 2003 2004 2005 2006

13 13 13 13834 834

5 517 17

30 34.25 33.3342.02 26.53 24.61

0.58 0.06 0.316.5

30.73

35.41 33.66 44.5811.87 5.61 19.62

0.41 1.4369.65 94.12 58.19

7.93 8.5 2.94834 834

5 518 18

3 3 3 38 8 8

1000 1000 980 98037 37 37 37

204 197 1976 6 6

21.2 20.6 22.2 21.431 31 31 3110 10 10 10

418 41828.29 0 30.43

6.69 1.21

40 40

43.8 43.8301 301

30 30453300000 662400000 771200000 390600000 214000000 129000000 74150000

6796530000 3386730000 1780230000 1762630000 1649000000 1425000000 1379000000536500000 121000000 1014500000

20200000 1600000 42500000 7500005505.6 5629.4 6019.3 6581.8 6672.3 6853.6 7231.1

4899 4328 4292 3973 5359 4555 6552404 2202 2313 2268 2381 2028 2157

10502 10604 9385 9432 7607 6842 61013594 2754 2222 1898 1153 984 1318

14111 12434 12355 13281 13776 13828 1404328207 25792 23962 24611 22536 21654 21462

Page 123: POL Country MetaData en EXCEL

52371 71799 69842 73137 77690 78992 8345177.827 68.514 66.715 70.898 77.109 71.284 79.824

2340919 2670283 2845919 3252222 3493094 3553680 36259823142 3277 3143 3827 4685 5356 6265

0.0817085311 0.0856775122 0.082212139 0.1001712622 0.1227010832 0.1403363697 0.1642577841136 121 122 122

8876 8813 8536 9327 10547 11349 125910.2308226996 0.2304168189 0.2232780206 0.2441330972 0.2762280309 0.29736323 0.3301148858

9.960052067 9.8213589204 9.6066625401 10.23763789 11.536484255 12.285525618 12.94105555374403 74679 85989 110481 119740 136490

68.300003052 68.300003052 69.660003662 66.528479317 66.78834673131735 30997 29296 29996 30118 29314 28148

4960 4601 4213 4024 4085 3943 40450.1289860962 0.1202936325 0.1102003633 0.1053277134 0.1069869637 0.1033133506 0.1060531104

364656 372744 423997 379193.6 381462.8 382615.455562 47909 46560 47394 47847 46060 4265124226 18208 17310 19643 18626 16742 1697622560 20134 20223 19900 19576 19599 19429

7.2756119945 7.5338050197 7.4971326456261419 346152 428373

357 386 386 416294 314 323 351

32 35 356747000 10004661 13898471 17401222 23096065 29166391 36745454

17.545749821 26.157292199 36.35453484 45.547488167 60.489054304 76.42093784 96.34041260310945567 11400000 11861266 12292450 12553477 11836243 11475613

28.464233027 29.805420801 31.025773126 32.175339233 32.877806326 31.012983079 30.0871310860 12000 121684 195752 875865 945159 29111520 0.0313741272 0.3182915025 0.5123784929 2.2939078821 2.4764783956 7.6325519024

326 389 565 838 14518.5233045448 10.182027962 14.797462547 21.957034695 38.042784473

2790497.2511 3788670.4656 8085750.1155 9499880.1537 12418371.09 14811852.024 17016333.1147.2567610261 9.9055190793 21.150073579 24.865821428 32.523961257 38.80958816 44.613969206102.20415702 99.936471563 90.327163264 104.2471958 113.60448925

33

2.882.692.923.04

Page 124: POL Country MetaData en EXCEL

3.043.593.12

159000000 55000000 301000000 378000000 244000000 95000000 443000000238800 228000 184400 184400 162000 162000 148000

1.3705620613 1.2979707666 1.0629481197 1.0657708523 0.9392784024 0.9238414542 0.853875229413673000000 14864000000 15407000000 16141000000 17479000000 19078000000 20541000000

1.8368355862 1.9067068259 1.905443878 1.9143551134 1.8905658826 1.9401974165 1.93777351795.3595058755 5.3976506364 4.9483278202 5.1275356792 5.3487270209 5.404630285

45000000 75000000 47000000 72000000 43000000 17000000 25300000029873195784 34064583893 35453415784 39296183159 44470204832 54948570228 62435777599

129831000000 139457000000 144651000000 152826000000 162656000000 177785000000 19370700000029873195784 30665865943 31088503705 32600686214 33616511189 35351112916 37490055581

2.1014161718 2.6534494841 1.3782026 4.8641212302 3.1159619432 5.1599695064 6.0505666957150235895686 154222329285 156347825437 163952773207 169061479225 177785000000 18854200000017.441541797 17.889102113 17.889554255 18.125471443 17.593219532 18.08040663 18.273710863

109840614624 123782456826 132680642054 142704444239 163513631741 192663839678 213477195810477375000000 506753000000 541341000000 554989000000 598074000000 623360000000 662313000000109840614624 111789291294 115419035827 117600045952 122870678971 125463664838 131719538860

3.313850068 1.7740948345 3.2469519136 1.8896450739 4.4818290468 2.1103373798 4.9862037988545737649387 555419552835 573453758634 584289999335 610476878243 623360000000 65444200000064.130723906 65.004669277 66.949756239 65.822813335 64.688958161 63.394562403 62.48053123

109840614624 123782456826 132680642054 142704444239 163513631741 192663839678 213477195810477375000000 506753000000 541341000000 554989000000 598074000000 623360000000 662313000000109840614624 112303953361 116176365718 118607071478 124137699020 126669794188 1329858082773.1249065364 2.2426483548 3.4481531956 2.0922549479 4.6629829687 2.0397471415 4.9862037988

540541223512 552663662368 571720352103 583682199458 610899201010 623360000000 6544420000002856.4338882 2936.198761 3038.8506298 3104.5257538 3251.1910653 3318.9654722 3486.66467423.6787337462 2.7924634659 3.4960803796 2.161183027 4.7242420631 2.0846023983 5.0527552438

230155526128 240427755561 259690185441 265989039815 286464906210 292165755708 316660505168253349003880 259030731148 267962507581 273568966405 286325440716 292165755708 306733735718139713810408 157847040719 168134057838 182000627398 207983836572 247612409905 275912973409607206000000 646210000000 685992000000 707815000000 760730000000 801145000000 856020000000139713810408 142457672534 146504649313 150206641620 156489100846 160826544962 1692255511533.0496980057 1.963916178 2.8408275299 2.5268770134 4.1825442322 2.7717228184 5.2224004394

695973545073 709641882120 729801584071 748242772542 779538357468 801145000000 84298400000081.572265704 82.89377139 84.839310493 83.948284778 82.282177693 81.474969033 80.754242093

139713810408 157847040719 168134057838 182000627398 207983836572 247612409905 275912973409607206000000 646210000000 685992000000 707815000000 760730000000 801145000000 856020000000139713810408 142971926361 147256150347 151213651875 157751719875 162036375451 170498563835690777119198 706885991653 728068177540 747634972665 779960680235 801145000000 84298400000088.799084259 91.886075647 94.269131602 95.036253535 97.923948796 100 101.52439655

182275481067 197399301400 205042609981 222634401967 258711081462 306164773078 347842707494792182000000 808133000000 836580000000 865843000000 946272000000 990590000000 1.079182E+12182275481067 179830743637 181530045385 186584330376 198034622235 203153003811 218139474166892106046601 879494520042 887437898053 911066006703 966333579922 990590000000 1.062978E+12106.42200602 103.6647408 103.46311673 102.6907239 102.35079575 100.74117616 101.8066452846457604226 51520310706 56748357242 72224793524 94769031397 112705997255 137881063658

201908000000 210919000000 231535000000 280888000000 346631000000 364658000000 42777600000046457604226 47906039249 50217087326 57350305998 65368053877 70572326382 80902580038

240053543796 247537829007 259479367750 296337799200 337766728299 364658000000 41803600000027.124391102 27.056021058 28.63483795 33.313882603 37.492347529 37.0850461 40.35504622

40666395157 39394464936 37125217217 39535828525 45701053138 55379727274 67141982272176739000000 161277000000 151472000000 153758000000 167158000000 179180000000 208308000000

Page 125: POL Country MetaData en EXCEL

40666395157 36711097612 34405685206 34378655283 36572514241 38938072718 447472732982.7496337513 -9.72620644 -6.279878718 -0.078562374 6.3814565743 6.4681319472 14.91907579

187133162367 168932204677 158323467108 158199084433 168294490307 179180000000 20591200000023.743178869 20.68810258 18.733133971 18.23600852 18.080165445 18.222275557 19.651123411

1895275502 157795744.89 -216665073.5 1097946044 5026191752 3172635899 47877518138237000000 646000000 -884000000 4270000000 18384000000 10265000000 148540000008999339161 920433245 -687153126 4624149728 18500732147 10265000000 14082000000

42561670659 39552260681 36908552143 40633774569 50727244890 58552363173 71929734085184976000000 161923000000 150588000000 158028000000 185542000000 189445000000 223162000000

42561670659 36858817276 34207817813 35333403765 40535437405 41110451532 477397274903.878702817 -13.39903555 -7.192307455 3.2904348294 14.722707368 1.418546744 16.125524559

196132501528 169852637922 157636313982 162823234161 186795222454 189445000000 21999400000024.84974032 20.770969414 18.623806238 18.742439122 20.068618056 19.266207127 21.052403184

57456966869 58498742031 63611542072 78058306849 100711114270 114958522383 144053827558249712000000 239488000000 259537000000 303575000000 368365000000 371946000000 446927000000

57456966869 54396270654 55904451595 61291838514 70997986401 74361267013 8726262076215.526757021 -5.326936631 2.7725815071 9.6367762596 15.835954871 4.7371492947 17.349561495

287392749715 272083520056 279627257417 306574310575 355123280044 371946000000 43647700000033.546397126 30.720761862 32.097954681 36.004606502 39.843143278 37.826222259 42.161691498-10999362643 -6978431325 -6863184830 -5833513324 -5942082873 -2252525128 -6172763900-47804000000 -28569000000 -28002000000 -22687000000 -21734000000 -7288000000 -19151000000-47339205919 -24545691049 -20147889667 -10236511375 -17356551745 -7288000000 -18441000000-6.422006024 -3.664740804 -3.463116731 -2.690723899 -2.350795749 -0.74117616 -1.80664527760.670788229 57.77678292 60.732792631 69.318489105 77.335490807 74.911268359 82.516737718

7554411227 8661423093 7916608456 8407901097 11466410035 12126485096 1287026591532832000000 35459000000 32300000000 32699000000 41940000000 39235000000 39930000000

7554411227 8051872151 8132483974 8351784083 8923145317 8833573449 8635220493-4.135277043 6.5850389864 1.0011562639 2.6965944288 6.8411878046 -1.003814974 -2.24544412133553502012 35763013200 36121056847 37095095254 39632840386 39235000000 38353999999

4.9578390394 5.100143113 4.517027656 4.3929189891 5.1042699884 4.5288799059 4.288112167528208243309 28484574611 28840229116 33784339741 42838278234 49567297588 56375825947

122595000000 116613000000 117669000000 131390000000 156687000000 160374000000 17490600000028208243309 27989655022 28278161152 31231207785 35212895596 36671419229 42602450892

6.8835247664 -0.774909254 1.0307598635 10.442852409 12.749067661 4.1420156108 16.173444573123362250702 122406305205 123668020270 136582489103 153995483052 160374000000 18631199999918.512618087 16.772694911 16.455545735 17.651476375 19.069450445 18.511904831 18.78328441748313763929 50038838272 50277816585 56577648184 69089631566 82226748427 93369863014

209975000000 204854000000 205135000000 220035000000 252705000000 266043000000 28968000000048313763929 47115388012 45955153973 48469722315 52707323739 54979610498 60635808704

4.5417369226 -2.480402726 -2.462537374 5.4717874362 8.7427804861 4.3111404609 10.287810617233787372819 227988504451 222374202321 234542045985 255047542213 266043000000 29341300000031.707549107 29.464584936 28.687320997 29.560412544 30.755234798 30.709234021 31.1089489787.5259417782 7.1346833184 7.2641568328 7.2613018782 8.08995492055.3685518572 24.629135776 22.329179934 23.262001812 17.03234626314.925154292 15.433942294 14.698769925 14.563966491 15.536369168 16.423748352 19.73709482565.717702961 78.015039756 80.144303452 49.115395669 50.722617638 49.320137517 50.9552484996.4626491115 6.5510179494 5.1569266231 4.556818746 4.1476764275 3.7328104408 4.185355492896504888324 111126798407 117067031370 126411130653 144087444363 173405800685 193898146656

419417000000 454942000000 477637000000 491623000000 527020000000 561051000000 60156900000096504888324 99172869744 102254178653 105205038239 108845552998 112192935400 117213362841

4.3828881406 2.7646075403 3.1070079113 2.8858083114 3.460399635 3.0753506318 4.4748160151482598693993 495940653877 511349569228 526106137597 544311512463 561051000000 58615700000163.334611853 65.435271951 66.795651347 66.046668467 64.140495214 64.761886073 64.602938855

7413662324 8252301319 10061312294 11061407839 12973283319 15808875345 180096807624.3472969176 4.3472969176 5.1040234427 5.1604056571 5.3046190775 5.3187592137 5.4245847334

1787642725 1834789636 1828330575 1917097104 1973105877 2029576638 22032960831.0482556894 0.9665637527 0.9274975113 0.8943706702 0.8067791955 0.6828334847 0.6636412079

Page 126: POL Country MetaData en EXCEL

0 0 14501362.649 80566317 131871754.71 120920398.73 137701839.940 0 0.0073564256 0.0375860726 0.05392077 0.040682621 0.0414763209

22793006095 25916607636 26911566827 29698540529 33209665249 39232509550 4349782433513.365589207 13.652820485 13.65202311 13.855064272 13.579031576 13.199438107 13.101711071144417212.38 92459410.424 97144333.345 134579011.78 485293683.91 717344929.78 17914671200.0846847988 0.0487074447 0.0492805451 0.0627842589 0.1984307342 0.2413444898 0.5395967489355373736.18 842505871 352011528.44 439594555.31 2314683883 2196866269 21816585920.2083875796 0.4438305189 0.1785726395 0.2050811491 0.9464463221 0.7391166324 0.657123913690012270.09 772504465.74 801443067.72 546271613.3 609635580.83 700715797.41 806431549.90.4046162455 0.4069539094 0.4065656731 0.2548484935 0.2492726361 0.2357497622 0.24290026750.2930723784 0.4925379636 0.2352096102 0.3054514806 1.1987978263 1.0211437433 1.238196982818.830831044 17.659798685 15.716902763 16.244772274 16.478936152 18.378100359 18.883077966

9320149570 7606287794 4070396475 5122375369 7092174408 15392467059 191942014505.4652418367 4.0069781998 2.0648796521 2.3897080024 2.899904576 5.1786622519 5.7813668955

147242192038 162974460938 169749895127 183998237170 208424271018 254960992626 284392444003147345528553 148391406506 150380969313 154078602269 159938847873 169137611165 1781811008953.1292596041 0.7098131601 1.340753386 2.4588436772 3.8034130103 5.7514252563 5.34682361213756365949 12316329729 11038277903 13065674607 14550866947 25435918371 300833270288.066594441 6.4882194918 5.5996303001 6.0954430153 5.9496739956 8.5576944753 9.0612131707

14446378219 13088834195 11839720970 13611946220 15160502528 26136634169 308897585788.4712106865 6.8951734011 6.0061959733 6.3502915088 6.1989466317 8.7934442376 9.3041134382

232375277558 239626135617 249457676732 283663163794 334170558237 364658000000 4177737866630 0.4122441843 0.0640634082 0 1.1082073359 0.6968812961 0.6138794987

7.2521234213 3.4796575297 2.2459051842 0.3940003357 4.088734673 2.6433773601 1.483336636288.1163848 91.182533219 93.230406459 93.597734574 97.424697601 100 101.48333664

0 0 0 0 0 0 05196425875 2755890467 1733406531 607799877.16 -422322766.9 0 0

152373063480 169827059772 175261456411 191396679935 224643485964 267759034208 300138275584662224000000 695255000000 715072000000 744357000000 821665000000 866329000000 931179000000152373063480 154354601744 156417423195 162085843074 170466755723 176021121167 186504216788749939568824 759692171528 769844828396 797743278836 838991895062 866329000000 9179240000000.2464519826 0.2116612338 0.2221469845 0.2537300092 0.269497284 0.2322938712 0.22369934460.1349345914 0.0777030093 0.0784440207 0.099338438 0.3072431236 0.3872338296 0.8444889702

171276118424 190420870075 198179425151 216800888642 252768998589 303912247951 341669943594744378000000 779564000000 808578000000 843156000000 924538000000 983302000000 1.060031E+12171276118424 173340512233 175842681117 182642797860 192404689711 199364063181 2117794334424.2598033914 1.2053016075 1.4434991867 3.8671593836 5.3447997761 3.617049813 6.2274865708

844766840682 854948828993 867290008386 900829495328 948977028177 983302000000 1.044537E+12404251215347 418866579395 442062259954 457767239070 496897412741 526078602780 574551633438451960597274 457408085619 464010767615 481954803555 507714322816 526078602780 5588400771200.2546892099 0.2281343451 0.1568025088 0.2520713026 0.2559514073 0.3410970471 0.29049005614454.0802196 4978.5738262 5183.8226063 5674.7370443 6620.0704241 7963.0212081 8958.01242244454.0802196 4532.0060605 4599.555503 4780.6531486 5039.1171502 5223.6797758 5552.50126964.8197255087 1.749538333 1.4904976212 3.937285798 5.4064579369 3.6625984302 6.294824873121968.382457 22352.727729 22685.894604 23579.103111 24853.897402 25764.195858 27386.00686810512.658499 10951.311104 11563.119304 11982.002129 13013.842221 13784.160064 15063.77943411753.353444 11958.982868 12137.231223 12615.108704 13297.13925 13784.160064 14651.8488

0.063675777 0.0545368278 0.0507073989 0.0584764666 0.0797325495 0.0932859849 0.09458462230.699751561 0.5720354161 0.5081009129 0.6636162164 0.9124243645 1.0539107327 1.4532629932

31562308016 32573829356 30045367313 34800261244 44785162017 56299838046 65756970185137172000000 133354000000 122586000000 135341000000 163808000000 182157000000 204011000000141115029371 137395253483 127466733297 139912087380 165842500647 182157000000 20129078666318.427734296 17.10622861 15.160689507 16.051715222 17.717822307 18.525030967 19.245757907

171330000000 173560000000 175730000000 182250000000 194150000000 202080000000 215210000000837088574444 847037135603 857268317368 888154859922 945380858115 983302000000 1.044275E+12176722113986 178707790071 185687892307 209334769274 239270157097 278388230155 318926217153170656708244 189952612423 197509086943 214696534913 245793462451 298111253972 333001450443

Page 127: POL Country MetaData en EXCEL

741686000000 777647000000 805843000000 834972000000 899024000000 964533000000 1.033137E+12170656708244 172516001208 175164258549 183064980465 196268052512 201710851997 2155913162904.0409114304 1.089493043 1.535079252 4.5104646238 7.2122325164 2.7731459175 6.8813671426

847798403476 857035108101 870191276228 909440945902 975031941519 1.002071E+12 1.071027E+12402789264198 417836558470 440566992607 453323972243 483184790233 516036958102 559974709150

4600 4670 4860 5480 6270 7290 83604437.972296 4510.4491324 4581.8098554 4791.7037272 5140.2993915 5285.1696606 5652.4424396

4.5996579992 1.6331070021 1.5821201152 4.5810253689 7.274983683 2.8183235663 6.949119944222047.21904 22407.273718 22761.783702 23804.506788 25536.280773 26255.975792 28080.535042

10470 10920 11520 11870 12650 13520 1468032234897836 33649571704 31366029105 35165907515 38870625879 52456844066 60325477035

140095122440 137757981600 127974339730 136763027600 142174756040 169723069840 18715979250018.888737611 17.714719095 15.880803051 16.379354948 15.814344894 17.596398448 18.11567996318.820427584 17.671157416 15.827086531 16.22037056 15.377924546 17.2605232 17.656067841

834033524006 844934759268 854334725095 879411058550 919192426815 964533000000 1.017774E+12-619410179.8 -468257651.6 -670338208.3 -2104353729 -6975536138 -5800993979 -8668493151-2692000000 -1917000000 -2735000000 -8184000000 -25514000000 -18769000000 -26894000000-3055050438 -2102376335 -2933592273 -8743801372 -26188431300 -18769000000 -2650090240618903054944 20593810303 22917968740 25404208707 28125512626 36153213743 4153166801082154000000 84309000000 93506000000 98799000000 102873000000 116973000000 12885200000094827271858 95256657465 97445179990 103086216492 109985133115 116973000000 126613000000

-7678266238 -7911693390 -10021691018 -12674635406 -3596170062 0 -262213336.94.34607 4.0939 4.08003 3.88908 3.65764 3.23548 3.1025

4.346075 4.0939 4.0800333333 3.889075 3.6576416667 3.2354833333 3.10315833331.841374798 1.861127238 1.829104344 1.841888034 1.860621481 1.869116126 1.844970823

0.4236873309 0.4546098434 0.4483065919 0.4736050773 0.5086945355 0.5776936115 0.59467230392.074140943 2.107714223 2.084564725 2.086510784 2.087774059 2.133583378 2.09155543393.37077809 105.280044 100.92167435 89.929916083 89.637413645 100 102.02835024

99.9100.1002004

99.899.899.299.699.4

97.993 98.549 98.734 98.958 98.991 98.982 99.00497.931 97.858 97.574 97.11 100.025 99.025 98.63697.878 97.297 96.663 95.708 100.882 99.058 98.347

140.535 143.223 142.47 141.962 140.447 140.23 139.7149.00543 49.20489 49.3003 51.114 52.8712 54.66611 56.8047749.19426 49.28218 49.3829 51.12211 52.98058 54.73035 57.0064248.82563 49.1313 49.22172 51.10628 52.76742 54.60519 56.61366

7 7 7 7 7 7 7

95.43751 97.1098 97.19256 98.79494 99.60196 96.95292 96.244756 6 6 6 6 6 6

3318722 3221253 3105262 2983070 2855692 2723661 260202048.41222 48.49526 48.53619 48.58967 48.59428 48.58575 48.57903

11.14185 12.65283 11.54338 11.2345499.30864 99.3459 98.93642 98.39501 97.83664 97.16995 96.8566998.28032 98.60347 98.29199 97.86772 97.32912 96.66161 96.36073

100.29343 100.05524 99.55198 98.89862 98.32129 97.65526 97.32994

Page 128: POL Country MetaData en EXCEL

98.41432 97.3427 96.92206 94.81 96.4392 96.58608 96.4062997.31386 97.50908 97.25898 96.8357 96.3038 95.68014 95.3946296.97831 97.36802 97.13363 96.77228 96.242 95.63474 95.322697.63521 97.64387 97.37871 96.89627 96.36282 95.72349 95.46334

0.86088 1.21078 1.29826 1.41325 1.65175 1.85383

99.27301 98.53688 99.27477 99.76701 99.27434 98.64183 97.71316

99.21441 98.16274 99.21305 99.76701 99.21959 98.44975 97.3010.24789 0.27975 0.305920.93686 1.07466 1.01302

0.84258 0.6364 0.58794 0.59616 0.60206 0.68845 0.66952

289113 235763 235950 23160983.4684 84.74739 84.53274 84.28602

96.78757 97.87392 98.23562 98.16993 97.64169 96.8169 96.2704396.81228 98.03857 98.44392 98.46457 97.9478 97.14631 96.5756496.76406 97.71744 98.03781 97.89029 97.3513 96.50454 95.98115

84809 75903 81802 91952 104035 117501 11975146378 38652 41280 45273 51163 57466 5885038431 37251 40522 46679 52872 60035 60901

13 13 13 13 13 13 136 6 6 6 6 6 6

3988001 3973962 3949993 3895167 3480054 3444903 331693948.44445 48.27323 48.10274 47.83269 49.11703 48.63167 48.434112238648 2248392 2611689 2714203 2603190 2631314 253758054.4115 54.25331 52.20683 51.77995 52.14637 52.17773 52.25238

13.20372 14.11461 11.63705 11.464441749353 1725570 1338304 1180964 876864 813589 77935940.8084 40.48129 40.09366 38.76071 40.12367 37.16299 36.00189

100.58865 101.8763 103.83635 105.59502 97.45927 99.63402 99.0341599.48823 100.4519 102.03796 103.23079 97.89659 99.15201 98.19025

101.64508 103.24252 105.5608 107.86002 97.0408 100.09469 99.8401290.61053 91.37537 92.13836 92.44579 90.71494 93.02022 93.0945992.19359 92.82302 93.39216 93.42866 92.11953 93.56988 93.688589.09075 89.98685 90.93612 91.50418 89.37094 92.49489 92.52738

4.50564 5.00168 5.42282 5.62484 2.33827 2.45734 2.76788

99.02076 99.24771 99.43083 99.47268 99.40417 99.49897 99.441190.53939 0.651762.92345 3.90085

1.35499 1.41323 1.68025 2.05376 2.20312300973 275967 296029 289324197935 189959 204443 200072

65.76504 68.83395 69.06181 69.1515450.63455 55.81821 58.77095 60.18482 61.54712 63.9008 65.4745259.35084 65.94592 69.27936 70.83898 72.11433 74.82419 76.5504142.23201 46.04407 48.62732 49.89999 51.34623 53.35831 54.79241

Page 129: POL Country MetaData en EXCEL

22.45961 22.86872 22.77807 23.71056 25.0528319.86824 19.75166 21.56911 22.16829 23.09091

17.6453 18.03366 21.11351 19.72595 21.43322 21.43111 17.095612.68788 12.2366 11.98258 12.68102 12.58201 11.97741

5.01142 5.33257 5.41158 5.34972 5.40512 5.46563 5.2538313 13 20 20 20 20.4 20.4

0.1 0.1 0.1 0.1 0.1 0.1 0.1

9.6 9 8.6 8.2 7.9 7.6 7.26 6 5 5 5 5 4

100 100100 100100 100

98 98 99 99 99 99 9997 97 98 97 97 98 99

4.9000000954 5.5999999046 5.3 5.2 5.2

5.18 5.1872.2 2.3 2.3 2.5 1.97 2.012

9400 151000.0106444358 0.006610875

3830

90 9080 8096 96

99.8 99.95.9

8 54 4 2.9

72 76 86 78 79 77 7587 86 87 88 86 87 8733 31 30 29 26 25 24

5.4 5.5 5.6 5.9 6 6.10.0354962042 0.0325014472 0.0219976189 0.037999696 0.0523058147 0.098204742 0.044601790529.969828215 28.100711549 25.438647852 26.430688554 28.110539622 26.120922838 25.590705204

100 100 88.20464235 89.471314639 91.279043435 88.586982164 88.118543518246.97619088 292.01987696 328.58636653 354.27760461 410.51062927 494.19566669 556.147809

Page 130: POL Country MetaData en EXCEL

583.51923 641.84331549 732.94646298 748.12709375 807.36227706 856.65658709 934.722470481.6546700735 1.6464331344 1.8275293169 1.8440241189 1.9104893471 1.8321054976 1.80079224170.030171785 71.899288451 71.159513633 66.271469828 64.671781013 64.653234309 65.3698565869.4117993309 9.6252201872 10.196006052 9.2659251447 9.4126678001 9.2476564274 9.24087922633.8664495727 4.2126111519 4.5091506323 4.1368382601 4.0120038333 4.0171877002 4.05346287045.5211196462 5.8590442863 6.3366799492 6.2422612186 6.2036390067 6.2134365637 6.2008134668

12.3 12.27 11.97 11.4 11.7 11.916.56 16.61 16.31 16.04 16.2 16.29

22.2 22.35 22.17 22.48 22.38 22.2741.1 40.96 41.98 43.16 42.38 42.01

26.13 25.84 26.82 27.44 27.2 26.723.3 3.29 3.19 2.87 3.03 3.18

7.84 7.81 7.57 6.92 7.34 7.530.57 0.57 0.58 0.41 0.57 0.310.14 0.12 0.11 0.05 0.1 0.050.15 0.14 0.13 0.08 0.12 0.070.06 0.05 0.04 0.02 0.04 0.02

32.93 32.84 34.05 35.88 34.92 34.13

14.8 15.6 16.6 19 18 15.1

18.3 19 18.8 17.6 17.2 16.6 1519.1 19.2 19.8 19.1 18.6 18 16.418.8 19.1 19.3 18.4 18 17.4 15.820.6 21.3 19.2 18.1 17.9 19.5 21.3

26 26 24.1 24 24.2 25.3 27.423.3 23.7 21.7 21.1 21.1 22.5 24.446.9 47 47.5 47.7 47.2 46.7 46.6

2.7 2.5 2.5 2.5 2.7 2.8 2.84.9 4.9 4.9 4.9 5 4.9 53.9 3.8 3.8 3.8 4 4 4

24.8 25.7 25.4 24.3 24.1 23.1 21.829.5 29.9 30.4 29.8 28.9 27.9 26.627.4 28 28.1 27.3 26.7 25.8 24.440.7 40 38.5 38.3 37.9 38.5 39.754.2 52.7 50.5 50.1 50.6 52.3 54.247.2 46.1 44.2 44 44 45.1 46.622.1 23.2 23 21.8 21.4 20.3 1924.6 25 25.5 24.9 23.9 23 21.523.5 24.2 24.4 23.5 22.7 21.8 20.475.2 74.3 74.6 75.7 75.9 76.9 78.270.5 70.1 69.6 70.2 71.1 72.1 73.472.6 72 71.9 72.7 73.3 74.2 75.6

6.6 6.8 6.9 7.2 7.3 7 6.23.6 4 4.3 4 4.1 3.8 3.2

5 5.2 5.5 5.5 5.5 5.3 4.519324 20012 20948 22013 22906 23202 23848

19 18.4 17.2 17.2 17.2 17.1 17.540.5 40.4 38.1 38 38.4 39 40.130.8 30.5 28.6 28.6 28.8 29.2 30

Page 131: POL Country MetaData en EXCEL

62.7 62.5 64 65.2 65.7 66.2 67.540.4 40.4 42 42.8 42.9 43 43.550.4 50.4 52 53 53.2 53.4 54.2

49.6 50 48.8 48.2 47.4 47.8 46.763.4 63.7 62.7 62.1 62 62.8 62.256.2 56.5 55.4 54.9 54.4 55 54.117.9 16.6 16.7 16.8 17.5 17.4 16.3

8.8 7.4 7.5 7.1 7.5 7.1 6.561.7 64.7 65 66.2 65.7 66.5 6712.8 11.6 11.7 11.5 12 11.7 10.815.3 14.9 14 12.8 12 10.8 9.516.1 15.6 15.1 13.6 13 12.4 11.615.7 15.3 14.6 13.3 12.5 11.7 10.764.8 70 69.3 68.2 67.1 66 65.2

72 73.4 73.4 73.1 72.4 72.2 71.968.7 71.8 71.5 70.9 70 69.4 68.919.9 15.2 16.8 18.9 20.8 23.2 25.311.9 11 11.6 13.2 14.6 15.3 16.415.6 12.9 14 15.8 17.4 18.9 20.4

46.043715594 46.171243762 45.959375469 45.809589715 45.467538678 45.358943889 45.0643674517423508.701 17565880.978 17347977.439 17302030.695 17247282.551 17535476.381 17332743.112

37.31491 42 44.36446 44.31688 43.27915 39.21688 31.6274333.33334 40.11925 43.48482 42.02509 38.96796 36.65184 28.2996835.16583 40.98436 43.88276 43.02969 40.84886 37.77245 29.77118

41.3 46.2 52 50.8 49 53.1 5234.1 39.9 45.1 48.6 46.9 51.3 4937.9 43.1 48.4 49.7 47.9 52.2 50.418.1 17.5 16.9 16.2 16.3 15.3 14.5

23 20.7 20.3 19.1 19.5 19.9 19.520.4 19.1 18.7 17.7 18 17.7 17.173.5 77.2 76.3 76.4 75.5 74.9 74.7

73 76.2 76.1 75.9 75.3 74.6 73.873.2 76.8 76.2 76.1 75.4 74.8 74.2

8.5 5.4 6.7 7.4 8.3 9.7 10.94.1 3 3.5 4.9 5.2 5.5 6.76.4 4.2 5.1 6.1 6.7 7.6 8.7

18.1 19.9 20.9 20.4 19.9 19.1 14.914.4 16.9 19.1 19 18.2 16.6 1316.1 18.2 19.9 19.6 19 17.7 13.8

14.289268051-199180 -104072

1020 1311 1591 1836 2507 4604 6790

Page 132: POL Country MetaData en EXCEL

865 3191 16712 15211 10677 19641 13513823327 825387

2.1410833797 2.16265525015

120 200

17.1108 16.0204 14.93 14.9012 14.8724 14.8436 14.8148

86.733045199 84.183106839 81.568587867 80.551941175 79.768459692 79.797103788 79.65252794218.3589162 212.68758665 208.01966974 205.69233102 208.25121535 208.32112807 209.08999091

9.8 9.6 9.3 9.2 9.3 9.5 9.89.5 9.5 9.4 9.6 9.5 9.6 9.7

8.3 7.8 7.4 7 6.8 6.5 6.278 78.4 78.8 78.9 79.2 79.4 79.6

73.748780488 74.2 74.497560976 74.597560976 74.846341463 74.995121951 75.14390243969.7 70.2 70.4 70.5 70.7 70.8 70.91.35 1.31 1.25 1.22 1.23 1.24 1.27

86.8784655 87.3150513 87.7516371 88.0798741 88.2997623 88.5196505 88.739538767.8611075 68.5919357 69.3227639 69.9120586 70.3598198 70.807581 71.2553422

19.376708703 18.714722202 18.091183491 17.508458787 16.965116612 16.461908595 16.0008445368.353870578 68.7940429 69.197749074 69.575140135 69.94426791 70.313836957 70.68730269512.269420719 12.491234898 12.711067435 12.916401078 13.090615478 13.224254449 13.31185277446.297494428 45.361423438 44.513371226 43.729498505 42.970972444 42.21951799 41.46812254417.949855093 18.157436852 18.369192068 18.564678494 18.715780247 18.807470935 18.83202819628.347639335 27.203986586 26.144179158 25.164820011 24.255192197 23.412047056 22.636094348-0.529621867 -0.52738611 -0.049671904 -0.094161959 -0.036135966 -0.043878234 -0.0633705741435.5937269 1462.9021887 1479.8724949 1530.5542192 1593.7546492 1627.3510968 1561.0234231355.11261074 322.13654379 298.32246767 284.22152844 262.66197979 234.22450079 226.96571554

38453757 38248076 38230364 38204570 38182222 38165445 3814126751.518882189 51.540168923 51.560621959 51.581087125 51.602734387 51.62628678 51.652111775

14727788.931 14664312.338 14672813.703 14678195.794 14684882.581 14693696.325 14707272.555-0.634117832 -0.431930271 0.057956359 0.0366739744 0.0455455469 0.06000116 0.0923522706

38.3 38.34 38.38 38.42 38.46 38.5 38.56-0.464882844 -0.601165259 -0.111211866 -0.132427769 -0.123489995 -0.108968461 -0.16097917223725968.069 23583763.662 23557550.297 23526374.206 23497339.419 23471748.675 23433994.445

61.7 61.66 61.62 61.58 61.54 61.5 61.44

17400000 15000000 13980000 13720000 14290000 15200000 1567000056677000 53122000 45043000 38730000 37226000 40841000 44696000

6128000000 5121000000 4971000000 4733000000 6499000000 7128000000 812200000013.235421166 9.9599346507 8.7549974462 6.5571272218 6.8171567033 6.3273947431 5.8829494423

451000000 475000000 657000000 664000000 666000000 854000000 883000000102000000 99000000 162000000 201000000 316000000 346000000 430000000

5677000000 4646000000 4314000000 4069000000 5833000000 6274000000 72390000003315000000 3496000000 3278000000 3085000000 4776000000 5548000000 72240000003417000000 3595000000 3440000000 3286000000 5092000000 5894000000 7654000000

5.9733585064 6.1673328644 5.4384772264 4.2311010391 5.0308748703 5.124771759 5.28971084247.161388555 45.259199103 48.658845037 56.28855727 65.175206472 62.87216343 69.590429519

Page 133: POL Country MetaData en EXCEL

100 102.53689589 111.36614382 119.93082126 140.80351221 147.57617961 172.74087784100 100 100 100 100 100 100

4.08 4.08 4.11 4.1 4.17 4.17 4.170.2780763 0.3800158 0.5543033 0.3813807 0.2429146 0.2102614 0.2288383

2.21 2.96 1.6 1.58 1.68 1.57 1.634.44 4.51 4.75 4.5 4.24 4.16 4.22

0.1545717 0.1771884 0.1429906 0.1466293 0.1312024 0.1173607 0.11116992.01 2.65 1.82 1.78 1.82 1.79 1.783.09 3.25 3.44 3.45 3.34 3.28 3.26100 100 100 100 100 100 100

5.69 5.05 5.55 5.16 5.46 5.49 5.474.633366 5.599531 6.738119 7.097711 5.03875 3.970938 5.200612

2.97 3.98 2.4 2.44 2.46 2.25 2.395.72 6.1 6.22 6.13 5.74 5.52 5.75

5.824639 5.799125 10.27049 9.732523 5.882653 4.706038 6.1988742.14 3.02 1.99 2.03 2.07 1.84 1.853.23 3.64 3.49 3.57 3.44 3.21 3.22100 100 100 100 100 100 100

11.49 8.54 10.71 8.97 10.07 10.24 10.1616.18995 19.59929 19.08459 20.00184 17.22356 14.85589 18.89498

6.74 9.02 6.37 6.7 6.33 5.65 6.1710.23 11.68 11.45 11.87 11 10.27 11.1

20.8686 20.8768 30.48691 28.14799 20.49442 17.98666 22.965952.52 3.96 2.47 2.68 2.65 1.93 2.013.63 4.66 3.75 3.98 3.74 3.11 3.18

1.9859851194 1.9678361292 1.9226569533 1.9180011517 1.9113522136 1.8459502118 1.67359531136.0366203927 6.3012252344 6.0116453181 5.4013892601 5.6875825876 6.1106998551 5.890944290110.983828028 10.251361909 9.287965921 9.2447460702 9.258544745 11.413974808 10.40098734310.458589131 10.070029321 9.388865377 8.7244241113 8.6902688556 8.93217819 9.55387145136.0934326337 8.1215407207 6.0883797054 6.4569842738 4.7453265723 5.0359242325 3.992180265577.961300435 78.672952081 80.040195606 80.565394165 79.857367255 75.273572632 74.3796905792.8279912629 2.6394384813 2.6053796247 2.7489606286 3.1958056186 2.9212077785 3.77310036040.2368202689 0.2864311064 0.3241600206 0.3258906561 0.3588547796 0.1718489069 0.239207957849028963058 50184494698 55298906859 68272209228 89696102209 101638827089 126989333413

80.539426557 79.769736613 79.944534751 79.207788389 78.00230611 80.288545352 78.42994195419.378866047 20.108747642 19.815399902 20.515602068 21.89986512 19.581267576 20.9996314664.4502047282 4.8659637581 5.4567324822 5.8375561489 6.2026842917 3.8361760913 4.292587118312.492042887 12.252191907 11.571798849 11.961104786 12.644714507 14.009698705 14.6982223131.3186995063 1.6483744037 1.4063566548 1.368023978 1.7779772308 0.9372563984 1.03232178930.2649993901 0.2504471322 0.2898607748 0.3049294339 0.2426105878 0.1271728413 0.12311684110.3985942928 0.431014557 0.4520238288 0.4585847637 0.5023924726 0.3419717479 0.35926046410.4543252428 0.6607548892 0.6386307572 0.5854000184 0.5294880706 0.3289900173 0.4941249040.0817073961 0.1215157448 0.2400653471 0.2766095426 0.0978287706 0.1301870718 0.570426580448940490000 50281550000 55151650000 68048990000 88174470000 101415600000 127260900000

100 102.72761452 112.61233097 138.95304882 182.94881948 207.59541185 259.2477820539.212367411 34.53066757 38.29787234 43.765032377 36.797093771 36.988896146 36.953390266

8862000000 8853000000 9165000000 10810000000 13213000000 15310000000 1943800000017.287294065 17.858353101 19.847244954 21.239592969 22.311360024 21.737426519 21.890112151

37.40690589 39.489438608 35.766503001 28.538390379 36.146219632 36.237753103 37.164317317100 101.8375821 105.25123864 101.66233677 106.56574208 106.75339447 106.56654162100 111.76522226 121.7407905 143.60326271 170.93366177 188.09106789 218.64700201

1.7857321129 1.4348131414 1.4081455472 1.5414227836 1.3219085868 1.1867021669 1.08781785397.8658960156 7.9491756651 7.532289168 7.9076857398 8.3817789127 9.402184692 9.27578282325.0852140108 5.6508631064 4.9445174213 4.2271000108 5.3503312333 5.0329608103 4.37228111964.5051764246 4.8211069067 5.3504400608 4.9529609965 4.5290173429 4.6127774128 5.58804139283.0014430014 3.6736788096 3.4795613161 3.4019695613 1.6670387735 1.7641253393 1.5294690697

Page 134: POL Country MetaData en EXCEL

80.192001095 80.808383528 82.058430079 82.436620722 80.800769188 78.112991359 78.701667495.0080429346 4.0568132156 4.0244725855 3.7555838143 4.0934204707 4.0264752981 5.23599460881.0590251281 1.1951109216 1.090000195 0.8485258516 0.8370058483 0.9801338195 1.00278756731747232655 35998466024 41132912520 53761883137 75046614518 89437378127 110780247870

85.934288304 84.415685413 84.743990953 84.797759345 83.806375378 82.754726254 82.21701732113.864441624 15.142405085 14.982013073 15.013253927 16.034993009 16.938119614 17.6175227260.6394375712 0.8305098443 0.7715855305 0.7579544558 1.1586454365 1.0062724402 0.973466725410.494447662 11.181988084 11.995408215 12.259098091 12.994258769 13.798461194 14.7302992851.1530339498 1.0460651274 0.8081499301 0.7940642933 0.7424279324 0.5843007895 0.55888509940.8189615266 1.06229176 0.7759993956 0.636905465 0.5745597719 0.7745932182 0.67456236910.2560303447 0.3173674951 0.1443180323 0.1896829676 0.1847206518 0.3479629045 0.25305636170.5025305692 0.7041822214 0.4865522133 0.3755480949 0.3803782791 0.4265234677 0.42725622090.2012700718 0.441909502 0.2739959737 0.1889867282 0.1586316129 0.3071541321 0.165459953131647030000 36133190000 41029800000 53587890000 73787310000 89287420000 110921100000

100 114.03070332 129.56750592 169.14597505 236.6798761 282.45635665 349.6908961918.864838865 21.118522319 20.907278166 24.404655327 23.665996874 25.875894399 29.13784705310395000000 9745000000 10030000000 11170000000 13437000000 16212000000 20530000000

837742992 886108992 915485016 1334009016 1948471906 2687507094 32838963333.3605404964 3.171718425 2.8785640277 3.0739197677 3.3371175936 3.7895155267 3.740763356423.520923521 27.532067727 32.60219342 35.765443151 31.256977004 33.660251665 34.07208962554.612794613 47.675731144 43.010967099 36.427931961 43.409987348 38.699728596 35.260594252

0 0 0 0 0 0 0

1.7292035842 1.6553668051 1.4529406275 1.28397990591.5489693738 1.5063053392 1.4607943606 1.4909889111

1306700 1308520 1364579 1371340 1365400 1437183 1495287102.40246465 102.42010998 72.636147055 84.338248668 85.333668196116.19523444 128.87105744 129.13560666 161.93888477 159.33861578

184130 177880 168990 161690 163270 159060 15957060.497437245 58.445868244 55.173201868 52.798458725 53.654288531 51.92439526 52.443553423

13993000 13584000 13010000 12587000 12610000 12141000 123680000.3638916218 0.3551551194 0.340305418 0.329463203 0.3302584119 0.318114986 0.324268200145.975160994 44.632824051 42.476084756 41.101750261 41.439369044 39.633728332 40.648108588

8813631 8820937 8293404 8163258 8377265 8328908 83811321.1072414246 1.1171348776 1.0676156584 1.0253396029 1.1567532041 1.2339633728 1.2258849049

1.68041890590 92000

29.76409515 30.0329709790.4463724381

600304360 304350 306290 306240 304300 306330 304270

933.82405488 963.2803298 1048.8693313 1089.4891555 1082.7914354 1183.7435137 1208.996604122340612 26960313 26877272 23390757 29635147 26927924 21775931

99 102 93 86 102 89 8198 102 101 100 108 104 10598 98 102 104 102 105 111

312690 312690 312690 312690 312690 312690 3126802534.7 3056.3 3240.8 2865.3 3537.5 3233 2598.2

11.322652672 9.830855196 9.7381451103 10.195991418 10.627489981 10.456307771 11.83832548340.111172874 35.362998372 38.944073246 44.387519385 37.597071446

3709000000 4015000000 3837000000 5745000000 13743000000 13841000000 1880000000057204000000 58291000000 63253000000 77663000000 101215000000 115010000000 144696000000

Page 135: POL Country MetaData en EXCEL

6.0033351862 8.0182892829 6.0246167135 6.3855091026 4.6818996416 4.9677835052 3.908138597948209000000 49324000000 53991000000 66732000000 87823000000 99490000000 124840000000

8995000000 8967000000 9262000000 10931000000 13392000000 15520000000 19856000000555000000 508000000 557000000 745000000 883000000 1037000000 1313000000

60913000000 62306000000 67090000000 83408000000 114958000000 128851000000 16349600000017.031684269 17.631314821 19.639386742 21.004482664 22.013142174 21.443298969 21.42929089436.853807671 38.987398238 35.39192399 28.222486506 35.663082437 35.74742268 36.381950040.0093416409 -0.047263727 0.1160564472 0.1406820802 0.3778153197 1.1161116483 2.6832913377

700000000 862000000 933000000 1130000000 1083000000 1269000000 1585000000311000000 345000000 353000000 325000000 658000000 756000000 833000000

-10343000000 -5945000000 -5544000000 -5473000000 -13259000000 -7242000000 -13156000000-6.038787015 -3.122031738 -2.797464972 -2.524436147 -5.245500862 -2.382924693 -3.850499655

-731000000 -614000000 -1061000000 -2461000000 -8438000000 -6843000000 -9757000000-10904000000 -6875000000 -6474000000 -5482000000 -5882000000 -2357000000 -6636000000-12307000000 -7661000000 -7249000000 -5725000000 -5961000000 -3095000000 -7372000000712156602.12 2268663814 -980822341.8 -1960712832 4882632272 -787189530.1 278775791.47

9327000000 5804000000 3901000000 4284000000 11761000000 6917000000 1070800000012666000000 6919000000 5795000000 6728000000 21001000000 19503000000 7765000000

7.3950765095 3.6335302939 2.9241178773 3.1033083131 8.3083764691 6.4173129354 2.27266112973339000000 1115000000 1894000000 2444000000 9240000000 12586000000 -2943000000

-624156602.1 427336185.5 -648177658.2 -1206287168 -800632271.9 -8145810470 -24887757911292000000 1544000000 1991000000 2470000000 1061000000 1958000000 3237000000

18000000 44000000 -40000000 -135000000 1064000000 850000000 1930000000295000000 285000000 263000000 377000000 493000000 504000000 803000000

2.8370840546 2.9221777914 2.620304872 3.373903705 3.6597134585 3.1000123016 3.899572649618.88824774 21.183225674 20.962438976 24.431716485 23.858659342 26.085619387 29.3512043512978000000 3401000000 2776000000 3284000000 5305000000 6998000000 9043000000

46300000000 51416000000 56779000000 72181000000 95333000000 112653000000 1380600000003.000577034 3.6706654363 3.477134602 3.4007517451 1.6628312672 1.7591339648 1.5248640249

35902000000 41663000000 46742000000 61007000000 81862000000 96395000000 11746800000010398000000 9753000000 10037000000 11174000000 13471000000 16258000000 20592000000

34000000 48000000 34000000 28000000 30000000 62000000 3800000049278000000 54817000000 59555000000 75465000000 100638000000 119651000000 147103000000

23.514137334 27.509484261 32.579456013 35.752640057 31.178086259 33.565014147 33.9695027254.597037892 47.636624628 42.980970409 36.414891713 43.300423131 38.590232501 35.154428904

9343000000 5714000000 4131000000 4589000000 12716000000 10309000000 198760000005.4549344567 3.0007215059 2.0844747112 2.1166887409 5.0306802143 3.3920975773 5.8173100598

447000000 -307000000 -545000000 -837000000 1660000000 1333000000 -21280000002050000000 2529000000 3049000000 3769000000 4011000000 6452000000 8235000000

576000000 594000000 593000000 741000000 1124000000 1822000000 29550000001496000000 1563000000 1685000000 2284000000 4728000000 6482000000 8496000000

0.8734434279 0.8208133906 0.8502396244 1.0535012169 1.8704825459 2.1328525072 2.48661029721.7319148351 1.6495571681 1.8709174431 3.5839864904 2.5319251295 5.7127196871 2.9494429669-3.534722328 -24.94859123 2.1900000572 29.489999771 59.299999237 20.787701378 38.13086804731279430000 26016530000 28749780000 37164660000 71101970000 93873380000 149054160000

18.262575243 13.662649826 14.506937719 17.142296518 28.12924099 30.888308054 43.625172934225 230 216 203 225 248 267

14631470000 7432150000 5841920000 8497910000 16568790000 29973950000 550407700008.5426211982 3.9030133114 2.9477919343 3.9196831883 6.5549166476 9.8626959121 16.10933307548.085362972 25.943015878 21.333991646 25.784668731 30.607381055 36.337489207 45.314557584

0 0 0 0 0123580000 120570000 97700000 87860000 82870000

390000 370000 480000 840000 720000121900000 112650000 70810000 60990000 49560000837850000 464610000 483030000 738660000 1101030000

330000 560000 220000 230000 20000044320000 39370000 37330000 63970000 72890000

Page 136: POL Country MetaData en EXCEL

19600000 16150000 14330000 10610000 8900000920000 -1160000 1410000 -2960000 2110000270000 50000 -1420000 130000 0

197310000 182910000 159550000 203880000 1965200005960000 4500000 3180000 510000 0

70000 50000 70000 1080000 27000040000 0 0 0 0

1870000 190000 -810000 7220000 60000-3430000 -3930000 -3840000 -3570000 -4010000

340000 810000 150000 740000 130000140000 180000 100000 420000 10000580000 2650000 1090000 2460000 1010000

30000 260000 1060000 1020000 4000000 0 0 0 0

140000 90000 140000 0 1200005810000 3460000 4050000 3940000 1330000

1390690000 952310000 871750000 1178890000 151330000032670000 7970000 3120000 860000 -820000

0 0 0 0 0

149774523.63 93424480.09 -33328969.03 -209215699.4 -676539944.2 77963268.93 12650367.660 0 0 0 0 0 0

0 0 0 0 0570000 680000 660000 530000 710000

-240000 320000 250000 500000 480000

110000 110000 80000 80000 00 0 0 0 0

1670000 560000 800000 410000 5000000 0 0 0 0

1393410000 960460000 882020000 1185800000 15220700002457890000 1706980000 1472900000 1628910000 1869480000

Page 137: POL Country MetaData en EXCEL

1393410000 960460000 882020000 1185800000 15220700002457890000 1706980000 1472900000 1628910000 1869480000

2000.6385664 2175.5936642 2274.1845564 2391.6907455 2608.3441443 2624.3533716 2643.16513416.24374 6.75374 5.4376 5.76808 5.55533 5.42496 5.498049.39884 9.85537 9.96913 10.91384 10.74216 11.14107 11.30164

18.50401 19.68369 19.16064 19.83762 18.99439 18.77702 18.10234.48779 4.30088 3.82923 3.39285 3.12097 3.1285 3.2698937.7711 37.19229 38.59765 38.13386 39.56605 40.6012 41.505354.67767 4.80718 4.97086 5.21337 5.10893 5.15456 5.09845

369031.5 333344.2 328302.4 347447.3 364185.2 364548.7 359696.714.04325 12.06133 12.99444 12.02058 11.75381 10.95169 10.31674

4.87361 5.34552 5.04045 4.7198 5.15835 4.821 4.907590.1643334 0.1679325 0.1660538 0.1682947 0.1633249 0.1623682 0.15947279584.858 80284.672 80196.957 79855.356 78824.222 78649.487 77633.417

137667000000 136860000000 134694000000 142592000000 143494000000 143336000000 14873100000096.153631246 95.226167366 94.522768581 95.055629996 94.06358571 92.261149982 92.51511532498.140025424 97.839564156 97.732615667 98.309434767 97.767944936 97.370606144 97.184071061

2106000000 2325000000 2279000000 1671000000 2082000000 2201000000 20420000001.4709374607 1.6177176613 1.5993094688 1.113933164 1.3647984267 1.4167186967 1.270184867314234000000 14197000000 14400000000 14460000000 14431000000 14563000000 14021000000

9.9417492003 9.8781667258 10.105334073 9.6394216347 9.4598492298 9.3737730032 8.7214799333928000000 1358000000 2198000000 2425000000 3144000000 5181000000 4597000000

0.6481623759 0.9448862727 1.5424669647 1.6165696725 2.0609636185 3.3348566868 2.85947102590 0 0 0 0 0 00 0 0 0 0 0 0

1916000000 2398000000 2376000000 2456000000 2507000000 2757000000 29090000001.3382318019 1.6685105169 1.667380122 1.6372350992 1.643395608 1.7745994761 1.8094847105

143174000000 143721000000 142499000000 150009000000 152550000000 155359000000 1607640000002332000000 2783000000 2767000000 2250000000 3075000000 3847000000 4291000000

226000000 458000000 488000000 579000000 993000000 1646000000 22490000000.1578498889 0.3186729845 0.3424585436 0.3859768414 0.65093412 1.0594815878 1.39894503744.5362379728 4.6679431194 4.975092477 5.0246202506 5.4382350821 5.6949247181 5.92120091155.0716008901 5.0974583102 5.2221071291 5.2901117842 5.5566194776 5.6949247181 5.759281118510.695171414 10.528960607 9.7440986044 12.347847414 13.73176064 14.860078853 19.9927329850.2070414702 0.2273644645 0.2335758301 0.1776206343 0.2177428569 0.2299344952 0.217108708795.846850693 95.583880459 95.452555084 95.857087422 95.620733606 95.678580098 95.499798074197.17639887 196.17619981 191.49358205 189.03192235 179.96553553 175.59494629 173.63278149

89115.963 89732.58 88855.084 91104.843 91371.08 92376.744 97032.9574064.688 4337.373 4440.94 4486.421 4601.626 4741.578 5100.807

4.5611222313 4.8336657655 4.9979582485 4.9244593945 5.03619526 5.1328698054 5.2567778595

Page 138: POL Country MetaData en EXCEL

124577000000 124690000000 122658000000 127010000000 130435000000 131187000000 1367350000003239.657441 3260.0332628 3208.3921566 3324.4713918 3416.1186324 3437.3239982 3584.9621881

2317.4839067 2346.0678127 2324.2018831 2384.658249 2393.0267861 2420.428846 2544.04126113.3853802825 3.374540128 3.3417520375 3.3462111888 3.3395512453 3.2883486995 3.2917719698

22812.407 23765.827 23160.772 25790.011 27209.14 28019.547 28338.5767.5615033061 7.8485274172 7.800034579 8.4597341673 8.9169831274 9.2240276202 8.87215282881.7614330986 1.7468864497 1.6886210794 1.6691380584 1.5859197843 1.5236795496 1.5082218458

301691.424 302806.192 296931.658 304856.045 305138.404 303766.946 319410.36849753.856 52540.776 52104.403 52914.81 56842.167 57014.516 59742.764

16.491637495 17.35128851 17.547607874 17.357310399 18.628322838 18.76916391 18.7040778847.8455643229 7.9168999769 7.7669063784 7.9795701143 7.9916355837 7.9592140482 8.3744037134

0.746296888 0.7229180051 0.6716964665 0.6659630026 0.614087327 0.5774174133 0.55592978840.6675170929 0.6620044584 0.639924068 0.6325407336 0.6010041283 0.5774174133 0.5715595232

221563.807 220529.713 216173.317 220309.693 214787.191 212154.285 223976.69373.440538701 72.828666925 72.802381011 72.266794972 70.390087968 69.841135711 70.121923218

1376.8 2451.4667.2 1751.9

14708.5 15359.821.227786846 21.935489399

43758.3 43420.563.153405524 62.00926558

69288.9 70022.616972.5 17429.6

58.334965922 57.7169651373436.4 3914.6

32.495042086 33.4603820076018 6189.9

29094.9 30198.4519.8 481

39.955857386 39.038005057 38.406524764 38.861472204 38.128463474 36.540452562 36.772486879189.8 218.5

-12.72348324 -15.94255199 -16.6510799 -18.05354332 -21.32496757 -26.66033168 -29.75088566

31.87 34.81 34.99 35 35.92 37.47 41.49169.25 171.63 166.41 175.02 172.97 171.32 175.68

50.51 44.17 40.59 40.38 41.46 37.62 38.6812.74 12.49 11.69 11.88 12.15 12.59 10.827.07 26.95 25.91 28.3 32.07 34.44 38.19

126.34300499 125.67135206 124.81753893 124.75368992 125.47558988 124.58931544 125.35336052.4923651666183 1669090 1672471 1679448 1686464 1693490 1700544

7.0226133457 7.0772842874 7.0995115321 7.1385755633 7.1772551349 7.2150142005 7.25673979311666183 1669090 1672471 1679448 1686464 1693490 1700544

4.3329524343 4.3638534916 4.3747190061 4.3959348319 4.41688281 4.4372337333 4.4585409289

0.567750793313.064539926

10.29 8.2731.49 32.258.22 59.5413.11 12.83

Page 139: POL Country MetaData en EXCEL

24.458955224 20.8153.6

1402.026933421.827228227 21.828069123 21.828069123 21.828069123 21.832425826 21.833298104 21.8332981044.4598905901 4.463946699 4.463946699 4.463946699 4.463946699 4.4706249591 4.4706249591

15.5 21.1 21.2 14.9 11 7.4

7.1 8 8.7 8.3 8 7.9 7.8

0.0916938157 0.1224471312 0.103252670627469379821 26563086922 29783861006 33958963841 36772764782 42560657450 48473947849

5.4115305082 5.1159927304 5.3272668367 4.8857131941 3.8385599731 3.9637091633 3.557807984226562048121 25648424922 28649701256 32579118091 35323860782 40863653450 46371052249-5.801461152 4.5977897964 0.0709479214 2.0871215551 -1.502810613 -1.205315114 1.9254864559

6.6912338274 16.215274856256323344500 288109722110 300440989000 323901874000 347597000000 367992000000 445596000000131724617693 133898663095 132019858222 135870820036 147950780163 180125706025 166695524070

10.30841476 4.8870502966 2.6654268442 4.3721388626 6.5885859623 6.5362993249 15.979176601302242366120 346408908200 339490864000 357719792000 371770000000 427788000000 49742800000038.500159449 41.603465163 42.41395216 41.345294109 39.451585116 40.65678703 43.6409878582.5316826739 3.1854682313 2.793723261 2.70858345 2.7640564069 3.1065697057 3.306875932211.556924312 14.612955373 -1.997074566 5.3694900019 3.9277133427 15.067918337 16.27909151382574246370 94157825950 112888645000 133575526000 175720000000 220641000000 275831000000

302242366120 346408908200 339490864000 357719792000 371770000000 427788000000 49742800000038.500159449 41.603465163 42.41395216 41.345294109 39.451585116 40.65678703 43.6409878582.5316826739 3.1854682313 2.793723261 2.70858345 2.7640564069 3.1065697057 3.306875932211.556924312 14.612955373 -1.997074566 5.3694900019 3.9277133427 15.067918337 16.279091513

219668119750 252251082250 226602219000 224144266000 196050000000 207147000000 22159700000087.27362326 92.066034249 93.815449058 94.554638413 97.936429715 100 101.11494394

10.059815117 5.4912478826 1.9001739596 0.7879185817 3.5765472313 2.1070507579 1.114943944887.750832145 89.21065145 90.247265811 92.662862577 99.115549215 100 102.20684736

14.1725 11.795833333 6.205 3.7086769493 3.7520811526 2.7896001275 2.200222561820.005 18.36 12.031896691 7.3038023362 7.5646808296 6.8312986685 5.48424395555.8325 6.5641666667 5.8268966909 3.595125387 3.812599677 4.041698541 3.2840213937

11.890558594 14.379968803 9.5710351325 6.8826842017 3.3394066778 4.0800696705 3.94242784272.5818333333 3.6329166667 3.8161466909 1.9288023362 0.9630141629 1.9271320018 1.29424395557.1397899199 8.6001270043 8.3219261469 8.8210071446 7.4630788567 6.5613616163 6.8634785209

30.133753291 30.862746135 35.17265061134.434567451 36.957802324 37.156710794 38.415414704 37.596832148 37.424107751 42.03612913226.576188377 27.271402472 27.434744947 28.070051568 28.148437382 28.937498347 33.291479211

0.6443097459 0.6231690081 0.5592531287 0.5406115735 0.5576084737 0.5669161966 0.5559080608-21739000000 -36390000000 -45961000000 -50850000000 -39669000000 -36158000000

Page 140: POL Country MetaData en EXCEL

-2.788610044 -4.500493459 -5.451067181 -5.500044346 -4.034264143 -3.411032319256971000000 334578000000 380567000000 411808000000 461307000000 502917000000

32.96342571 41.378568301 45.13601279 44.542030722 46.91407116 47.44361249838125000000 36579000000 32256000000 42347000000 14266000000 31022000000

4.8905542072 4.5238678272 3.8256265744 4.5803417491 1.4508258907 2.9265181867-13510000000 3649000000 3848000000 8298000000 24900000000 11503000000-1.733019996 0.451286085 0.4563805512 0.8975293606 2.5322840796 1.085156943535955000000 31821000000 28769000000 32001000000 36116000000 35130000000

14.393572432 12.917617258 10.281178749 11.002502991 11.254315879 10.09430546789204000000 76994000000 108066000000 113750000000 120839000000 12888700000035.71031109 31.255429532 38.619551 39.109237688 37.655340471 37.034578671

245845000000 238037000000 277535000000 284008000000 313469000000 34062900000031.536217681 29.43896569 32.916210049 30.718910418 31.879219202 32.133871557

0 0 0 0 0 00 0 0 0 0 0

83494000000 91472000000 96919000000 106585000000 119812000000 13182700000033.424473277 37.132720084 34.635947138 36.645785485 37.335311055 37.87936256212.654517457 13.397151611 13.618760697 13.669562987 14.485898822 14.791264843

4060000000 3762000000 3791000000 2125000000 1285000000 14030000003.257381258 2.7355424184 2.6512899774 1.4644971434 0.7837611999 0.7624958564060000000 3762000000 3791000000 2125000000 1285000000 1403000000

1.6253067466 1.527169986 1.3547898307 0.7306121326 0.4004262904 0.403140067525000000 1601000000 1788000000 2174000000 2504000000 2931000000

0.0100080465 0.6499200286 0.6389776358 0.7474591889 0.7802859386 0.8421978174124640000000 137523000000 142987000000 145101000000 163953000000 18400100000015.988424299 17.008006649 16.958546224 15.694433328 16.673717739 17.35807726437061000000 40688000000 40489000000 34217000000 40352000000 47840000000

14.836328408 16.517143112 14.469555646 11.764402514 12.574320366 13.74641541529.734435173 29.586323742 28.316560247 23.581505296 24.611931468 25.99985869630713000000 35909000000 40453000000 40138000000 43087000000 45419000000

11.074172763 12.580271091 12.40162972 11.774645408 12.079914097 11.95038717320183000000 21334000000 24372000000 24550000000 24857000000 27449000000

7.2773753421 7.4741012966 7.4716960309 7.2018422635 6.9689331984 7.22222368422070000000 23062000000 24393000000 24353000000 26178000000 24733000000

8.8351034232 9.3619336034 8.7173274439 8.3729869487 8.1574781557 7.10681631417.9577700936 8.0794845834 7.4781339767 7.144051513 7.3392900699 6.507605318121746000000 19700000000 24308000000 27800000000 28175000000 29055000000

7.8409455576 6.9016497395 7.4520756244 8.1552429705 7.8991709725 7.6447852067277339000000 285439000000 326191000000 340885000000 356683000000 38006300000035.576168217 35.301356208 38.686909658 36.870847926 36.274003307 35.853951441

193278000000 194876000000 222328000000 234171000000 244691000000 26406800000069.690162581 68.272380439 68.158839453 68.695014448 68.601811693 69.480059885

7 7

0.4789021 0.480394513018 13110

4 4 438 38.1 38.1

0 0 02.4 2.13 2.99

9.46 163.33 9.43

Page 141: POL Country MetaData en EXCEL

2007 2008 2009 2010 20112.28

13 13 13834 884 884 884 1050

5 5 5 5 517 17 17 17 17

40.6814.65

0.4814.6447.9199.25

17.291.92

60.9212.82

834 884 884 884 10005 5 5 5 5

18 18 18 18 163 3 3 3 38 8 9 9 9

830 830 830 830 83037 37 37 37 37

197 197 197 152 1526 6 6 6 6

21.2 18.8 17.9 17.5 17.331 31 32 32 3210 10 6 6 6

418 418 395 325 2964.82

23.60.59

2.640 40 40 29 29

17.444 47 43.8 44.1 43.6

301 301 301 301 30130 30 30 30 30

41000000 1500200000 8600000002515000000 2281000000 1575000000

1439300000 22030000000

7136361 290 241

2392 2488 2899

5563 4823 37351100 1081 913

13951 14705 1322920614 20609 17877

Page 142: POL Country MetaData en EXCEL

3.9285714286 3.7670397666 3.9204819796 4.26728183033.1997092225 2.6214359583 2.8165188602 3.2586595758

89289 90031 8305383.145 78.921 55.475

4269655 4634676 42790727534 8223

0.1976361313 0.2156809521123 123

13939 148910.3656556987 0.390575830914.370843858 15.213371339

159527 174222.667.591072883 68.151292468

27359 26790.54039 3991

0.1059533228 0.1046798832383053.1 383313

43548 39200 2994017081 17958 1645419419 19627 19764

7.8620119431 9.3222821773 9.2054354146 26.179200611767567 859341

451 495383 422

66 4941388774 43926365 44806632 46000000

108.57336304 115.21440137 117.44364188 120.4583029910490569 9725452 9587054 9450600

27.519451446 25.508874459 25.128836657 24.7478964844174003 4440774 4921376 5044000

10.949479756 11.647699919 12.899526135 13.2085147892104 3229 4693 8049

55.193313005 84.693395874 123.00924813 210.7758436518560224.332 20305468.861 22555569.752 23852485.85748.688225808 53.259185897 59.120896576 62.461521054

3.043.553.122.983.223.26

Page 143: POL Country MetaData en EXCEL

3.444.523.45

987000000 599000000 156000000 142000000142000 143000 121400

0.8172225937 0.810476687 0.696883716223774000000 22190000000 24701000000 26847000000

2.0203324957 1.7398026708 1.8387394053 1.89682922115.9024191626 4.9392444002 5.1436734337

162000000 76000000 81000000 800000076273900314 98000581106 79405467773 88643117745

211027000000 236103000000 247753000000 26725900000038860318883 41725486381 42571472680 44435831451

3.6550047236 7.3729901863 2.0275049445 4.379361703195433219006 209842491064 214097057946 22347314250917.933234019 18.511610184 18.442702882 18.882731061

257300032530 325882035530 263144129996 288108789386711872000000 785115000000 821036000000 868648000000138169611392 146154294041 148948218193 1538487076764.8968228919 5.7788992592 1.9116264562 3.2900625075

686488865670 726160365643 740041839307 76438967840260.495420812 61.55679017 61.117818971 61.372850197

257300032530 325882035530 263144129996 288108789386711872000000 785115000000 821036000000 868648000000139541666397 147568591078 150546536523 1553403854224.9297426577 5.7523497379 2.018007642 3.1842970352

686704306444 726205939816 740860831178 7644520406603660.5355849 3870.5745131 3946.0081539 4068.20619694.9867402512 5.7379288718 1.9489003652 3.0967508988

354872664516 389816973628 406080777476 425234904764321854919533 340369140154 347237815413 358294898874333573932844 423882616636 342549597769 376751907131922899000000 1.021218E+12 1.068789E+12 1.135907E+12177042210592 187898701882 191539437005 1983093751874.6190775479 6.1321485164 1.9376052558 3.5344878775

881922084676 936002856707 954138897253 98786282091178.428654831 80.068400354 79.560521853 80.255581258

333573932844 423882616636 342549597769 376751907131922899000000 1.021218E+12 1.068789E+12 1.135907E+12178417598903 189321402476 193145953681 199813786390882137525450 936048430880 954957889124 987925183169104.77913131 108.67339038 111.33781147 113.4376968

437545089818 550417565997 430228838819 4751111111111.210556E+12 1.326066E+12 1.342357E+12 1.43246E+12

237049026312 250389320181 247317223722 2592196453571.155341E+12 1.220231E+12 1.205661E+12 1.262772E+12102.87396419 103.96994901 99.924890164 101.20803017

173349477717 211226548232 169955450146 198463349917479606000000 508887000000 530278000000 598367000000

88279160846 94503536903 88071412474 98717151873

456151920818 488314223530 455078453219 51008661628640.757280514 39.899187099 39.473829172 42.276604854

91708172191 117842437324 91230729784 93277943615253729000000 283906000000 284649000000 281233000000

Page 144: POL Country MetaData en EXCEL

52601052601 57648269225 56941438001 5684921915317.551414252 9.5952768505 -1.226110051 -0.161953845

242052468115 265278072554 262025471444 26160111111921.562082266 22.25959518 21.189236589 19.87004031512262984783 8692512037 -3551488734 508126036533928000000 20942000000 -11081000000 1532000000031366195744 18949704399 -10502983553 13308532889

103971156974 126534949361 87679241050 98359203980287657000000 304848000000 273568000000 296553000000

59333129555 61678757679 54581556904 5965667922524.284600425 3.9533194046 -11.5067181 9.2982366361

273418663859 284227776953 251522487891 27490964400824.44530936 23.901548652 20.364368311 20.952448914

185573065385 232243483314 169632063075 204134328358513425000000 559521000000 529269000000 615465000000

99178940446 107149958216 93827668002 10684854847513.655697687 8.0370063786 -12.43331349 13.877442283

496080979592 535951039565 469314566637 53444342475043.631244705 43.869136104 39.398719336 43.484635026-12223587668 -21016935082 323387070.93 -5670978441-33819000000 -50634000000 1009000000 -17098000000-39929058774 -47636816035 -14236113418 -24356808464-2.873964191 -3.969949006 0.075109836 -1.20803017284.388525218 83.768323203 78.872548509 85.76123988116103299960 17307820023 13969103554 1462354892244553000000 41698000000 43585000000 44090000000

8332457941 8221365983 8999771492 8863696021-3.506135737 -1.333243552 9.4680800035 -1.51198806937009256699 36515833170 39973181468 39368791734

4.3278785983 3.7347869547 3.6512799376 3.537311049970395416923 86348165366 70743886414 76438805970

194763000000 208030000000 220728000000 23046300000048198793566 52279393614 55024061778 57912825022

13.136198873 8.4661871091 5.25 5.25210786314844 228631878659 240635052288 25326839253318.919278599 18.632733709 18.491217576 18.489891506

117716051614 146151834634 121420467293 130777777778325685000000 352109000000 378844000000 394295000000

66841634220 71092329950 72148026486 7803350075510.234588518 6.3593533875 1.4849654473 8.1574986269

323442613209 344011471989 349119923483 37759937644731.637042203 31.53753417 31.737191618 31.634022697.867601064116.52152240118.91713582152.5041050894.1896356242

238263635378 299962228126 247191436172 268007296849659204000000 722669000000 771262000000 808042000000123776257401 129797277135 131785338368 1342808223175.5991009907 4.8644383505 1.5316663623 1.893597558

618976522395 649086253731 659028089542 67150742935264.035079198 64.727678875 64.611528444 64.8286662619673401525 24731679485 20008402133

4.8080814041 4.8080814041 4.80808140412253271196 2461261488 2615252469

0.5506882641 0.4784934075 0.6284533208

Page 145: POL Country MetaData en EXCEL

291238324.08 252110330.2 216457996.470.0711771967 0.0490127244 0.052015531351403838508 60096712602 51651857389

12.562842257 11.683391194 12.4300267091809312905 1504777112 1019999602

0.4421870678 0.2925434504 0.2451090843058363808 7160594299 2853712526

0.747448891 1.3920898625 0.6857560158963956872.41 1258055919 12580559190.2355862613 0.2445784271 0.24457842711.2608131555 1.7336460372 0.982880631120.552056069 19.178245241 19.20554155132689756678 38550828159 28235291645

7.9892138116 7.4948540466 6.7755148419352610882917 445363109326 360399057708190752713839 203134934824 208494231423 2110901625237.0555254629 6.4912423711 2.6382939024 1.245085335243692916051 50645708496 40280215266

10.741215369 9.8460231691 9.737197624344950971969 51903764414 41538271184

10.985793796 10.090601596 9.9817760513463404419922 487450009331 470209269326 5195962544380.8252635239 1.7961017521 0.8675075698

3.95598066 3.1016205319 3.6615827427 1.3616223451105.49799781 108.77014537 112.75285424 114.2881223

0 0 0 0-215440774 -45574173 -818991871 -62362258

372082986952 463421882783 382581007019 4134086235491.029442E+12 1.116476E+12 1.193691E+12 1.246427E+12

199000707255 209197352281 212957742120 221156968127979428392303 1.029614E+12 1.048121E+12 1.088476E+120.2643438627 0.2160306957 0.22203059930.6737055362 0.4557987396 0.3795384063

425321502151 529400630915 430552225890 4694401326701.176737E+12 1.275432E+12 1.343366E+12 1.415362E+12

226149246712 237742898868 241560968194 2510882487556.7852732609 5.1265490929 1.605965665 3.94404801071.115412E+12 1.172594E+12 1.191425E+12 1.238416E+12

638908190349 688458183580 721873360476 755472820277596758903444 627352041595 637427099982 6625675308390.2309186462 0.2621256868 0.129393235511157.273192 13885.64175 11285.298442 12293.035165932.4744104 6235.7551719 6331.6073035 6575.74504396.8432787743 5.1122135638 1.5371375065 3.855857267929260.107663 30755.946855 31228.70805 32432.84245916760.199492 18057.560076 18921.180336 19783.25519315654.515659 16454.807932 16707.740956 17351.96760.0757171491 0.0879825099 0.05305109511.2446851942 1.021937632 0.784013336191747569306 105518014279 88002628121 92688225539

253838000000 254214000000 274577000000 279455000000240742104189 235726746719 252417190580 26006247369621.571345169 19.931599646 20.439478147 19.744418742

230490000000 2433200000001.122664E+12 1.17173E+12 1.206556E+12 1.247925E+12

374392349518 454087071706 466488046782 474890638536410074818376 518742321102 415587320919 452275290216

Page 146: POL Country MetaData en EXCEL

1.134554E+12 1.249754E+12 1.296674E+12 1.36361E+12232629537821 240792361923 248268438183 2584689434057.9030184629 3.5089370759 3.1047813147 4.10865968171.155671E+12 1.196222E+12 1.233363E+12 1.284037E+12

616004972218 674597602037 696782870656 7278493363959820 11910 12230 12440

6102.4690566 6315.7394958 6507.4182645 6769.03790617.9616311329 3.4948221316 3.0349378544 4.020329275130316.203662 31375.701057 32327.934086 33627.623484

16160 17690 18260 1906080694885531 98437704466 75255723150 79285383085

223258539800 237156117600 234805381800 23904543000019.678088465 18.976223929 18.108281789 17.53033712

18.97267952 18.594179666 17.478883774 16.8893491561.08268E+12 1.148122E+12 1.165145E+12 1.202643E+12

-15246683775 -10658309812 -14964904971 -17164842454-42183000000 -25678000000 -46692000000 -51752000000-39984645090 -23607580842 -41410925085 -4528204590353238515199 65978748132 47971218871 56031509121

147295000000 158956000000 149675000000 168935000000135983297458 142980258735 143304077233 149940058922

7252499104 -864214198.6 15130816107 95096381522.7667 2.4092 3.1201 3.015

2.76795 2.4092416667 3.1201416667 3.01531.841793575 1.852591821 1.86094414 1.873478386

0.6657005006 0.7689655574 0.5964373385 0.6213858662.005992772 2.01406058 2.021853891 2.042748585

105.68338069 115.93763281 98.478320653 104.7000391799.88651

100.1033739599.78336

99.833899.35757

99.67199.50701

98.997 98.859 98.84598.693 98.859 98.93298.455 98.856 99.001

139.634 140.85 142.5959.90159 61.69294 65.6961660.03586 62.04709 66.034259.77441 61.35756 65.37611

7 7 7 794.5716394.94027

95.76091 94.76036 6 6 6

2484820 2375205 229436948.54963 48.49295 48.4743310.63653 9.94155 9.6102896.65991 96.58524 97.3583896.16104 96.01744 96.7792297.13544 97.12599 97.90961

98.99145

Page 147: POL Country MetaData en EXCEL

99.1876297.02516 99.0921295.16296 95.15363 95.8861595.10822 95.02076 95.7408495.21514 95.28016 96.02445

2.04711 2.28928 2.6070398.03538

97.903997.9679997.7491597.3762997.55776

0.31665 0.81515 0.61861.07325 1.52305 1.318230.70593 1.17977 0.97909

233612 238917 23874184.30218 83.78768 83.7283995.73634 95.36429 95.77598

96.039 95.5779 95.9875295.44967 95.16212 95.57595

120095 116006 9374158713 57687 4692961382 58319 46812

13 13 13 136 6 6 6

3205849 3085019 295819348.49664 48.6172 48.650512421626 2278925 2141971

52.49345 52.87195 53.0667311.15369 11.04127 10.68059

784223 806094 81622236.15477 36.58854 37.0612498.47537 97.72794 97.0445797.69156 97.15357 96.5466299.22501 98.27769 97.521192.54439 91.80779 91.0164893.13087 92.53145 91.8252791.98349 91.11516 90.24248

3.09653 3.51946 3.8750398.1701198.8271598.50755

0.76188 1.783534.19999 4.056562.39521 2.85477287425 279408 276969200743 194991 193014

69.84187 69.78719 69.6879466.83872 69.18565 70.5374878.13066 81.17421 83.1891655.95376 57.63173 58.34137

Page 148: POL Country MetaData en EXCEL

24.3367121.9793116.5833611.64626

4.9133120.4 20.2 20.2 20 20

31.2977099240.1 0.1 0.1

6.9 6.6 6.3 64 4 4 4

100100100

0.10.1

99 99 99 9998 98 98 98

6.6213

5.732.144

133000.0075379489

908096

64.6

76 74 6788 85 88 8024 23 23 23

0.0271644556 0.0369797567 024.234211212 22.431355599 22.43135559987.854349861 86.224940735 88.422104098716.65865389 971.30811659 803.64614418

Page 149: POL Country MetaData en EXCEL

1073.6720543 1270.5590383 1358.59899971.7737056793 1.8245563065 1.809222162966.101982826 67.40151891 68.15713206610.074953872 10.926982559 10.9269825594.2504060805 4.7272039333 4.8608087286.4300734999 7.0134976328 7.1317682841

11.98 11.96 11.9516.29 16.26 16.2322.12 22.02 22.03

42 42.17 42.1126.89 27.15 27.05

3.21 3.2 3.267.61 7.59 7.680.29 0.25 0.20.07 0.07 0.050.08 0.08 0.060.03 0.04 0.03

34.02 34.21 34.07

14.6 10.6

14.2 13.8 13.215.2 14.1 13.414.7 14 13.322.6 24.1 24.229.9 32 30.526.3 28.1 27.446.7 47.3 47.6

2.8 2.7 2.75.1 5.1 5.3

4 4.1 4.120.9 20.4 20.125.5 25 24.923.5 22.9 22.741.6 43.1 42.256.6 59 57.148.8 50.7 49.318.1 17.7 17.420.5 19.8 19.619.4 18.9 18.679.1 79.6 79.974.5 75 75.176.5 77.1 77.3

6 5.9 5.72.8 2.7 2.54.2 4.1 4

24373 2455317.9 17.9 16.841.2 43.2 42.830.7 31.9 31.1

Page 150: POL Country MetaData en EXCEL

67.9 68.2 69.943.6 42.7 43.854.5 54.1 55.6

46.4 46.8 46.262.2 63.1 61.9

54 54.6 53.715 14.1 13.1

6 5.3 567 68.1 68.4

10.1 9.3 8.79

11.110.264.171.868.326.917.121.5

44.873314862 44.780617466 44.96594883817375926.839 17643937.487 17420409.917

23.79555 19.86137 21.2364919.97499 15.24366 20.2059621.65698 17.29445 20.65044

46 30.8 27.345.8 27.3 23.345.9 29 25.213.8

1916.472.673.873.213.7

7.210.410.3 7.9 8.7

9 6.4 7.89.6 7.1 8.2

5564410053 12774 15320 15555

Page 151: POL Country MetaData en EXCEL

2915 2391 2059 1764827453

2.16681704755

120

14.786 14.2686 13.751294.698205547 95.05718954399.690273204 99.63349863979.367158765 77.345394836 76.097796851209.13019771 204.97784596 197.53671724

10.2 10.9 10.99.9 10 10.1

5.9 5.7 5.4 5.279.7 80 80.1

75.243902439 75.543902439 75.69512195171 71.3 71.5

1.31 1.39 1.488.9594269 89.1400433 89.2813879 89.422732571.7031034 72.1679411 72.6498553 73.1317695

15.589796438 15.241283924 14.970173256 14.78543843771.045872741 71.349646218 71.546344855 71.59901360313.364330822 13.409069858 13.48348189 13.61554796140.754129892 40.154864531 39.769544067 39.66672858818.810847564 18.793463694 18.845801162 19.01639041621.943282328 21.361400836 20.923742906 20.650338172-0.054305021 0.0136373797 0.067763227 0.0940147496

1610.06636 1622.6816785226.34178425 190.64653619

38120560 38125759 38151603 3818748851.679569296 51.707088669 51.732555139 51.754476488

14722160.272 14747043.581 14779931 14816745.3440.101175705 0.1688767382 0.2227619664 0.2487736147

38.62 38.68 38.74 38.8-0.152008986 -0.084162139 -0.030132033 -0.00397643923398399.728 23378715.419 23371672 23370742.656

61.38 61.32 61.26 61.2

14975000 12960000 1189000047561000 50243000

11686000000 12837000000 9843000000 102050000006.7064177537 5.9992709463 5.7537513664 5.2401320688

1087000000 1069000000 832000000 759000000589000000 786000000 516000000 423000000

10599000000 11768000000 9011000000 94460000007753000000 9903000000 7372000000 81440000008342000000 10689000000 7888000000 8567000000

4.4240794658 4.4606454144 4.5361227882 4.22711034871.911751109 71.639936886 66.417487841 70.168634385

Page 152: POL Country MetaData en EXCEL

199.04133483 217.73964683 178.11299092 155.0907547100 100 100 100

4.13 4.01 4.01 4.010.2655751 0.2416759 0.2356352 0.2032177

1.56 1.55 1.54 1.854.03 4.02 3.98 4.03

0.1230006 0.1211951 0.1552883 01.81 1.81 1.75 2.343.39 3.39 3.35 3.32100 100 100 100

5.53 4.21 4.21 4.215.480654 4.687128 4.112236 1.861798

2.35 2.25 2.15 1.945.74 5.64 5.33 4.19

6.374612 5.288046 4.979643 01.81 1.77 1.51 1.613.19 3.16 2.81 2.54100 100 100 100

10.41 5.01 5.01 5.0120.16744 17.91871 15.72739 6.29908

6.15 5.59 5.11 2.4611.52 11.13 9.93 4.87

23.9793 20.66581 19.43357 01.84 1.72 1.22 0.542.93 2.84 2.16 1.39

1.5944958995 1.509249652 1.5554414204 1.77107134416.2117751096 6.6159388536 7.9079845171 7.65176509159.9710090406 11.357833424 9.4575965283 10.7256594198.5279849449 8.91482759884.1211101766 4.5174401173 5.5740047921 4.152953550774.571607985 72.821230464 74.271157301 74.2502125553.7901709047 3.2803968494 2.7136954509 3.38126925940.1997368589 0.2915725407 0.3040613296 0.2428764313

165709688897 208804296034 149459195150 17364807321178.539386381 77.778742805 78.784109918 78.29775272820.243056767 21.466189328 20.702212086 21.4264555374.8270412379 5.0699854498 6.0027383349 6.465561769913.533024331 14.533203659 12.529630265 13.254712448

0.903678684 0.8219795973 0.9375674325 0.78954588480.128849371 0.2142967311 0.2431465229 0.1533653823

0.4003209889 0.4245725259 0.4470007426 0.48463901660.4501375838 0.4021533214 0.5421285883 0.27863277741.2175568526 0.7550678666 0.5136779961 0.2757917345

166298600000 209550700000 149872100000 166495200000

338.14336209 424.91892079 304.16355459 354.4754289439.318755257 38.548156045 41.414098953 45.91320869923780000000 30017000000 23789000000 29473000000

23.957106812 23.943098911 22.022783639 20.85637702332.603027754 32.991304927 30.989112615 29.077460727108.72349693 106.93312836 107.14996779 99.908120406239.40226418 257.02616817 234.74512778 215.28908681.0320792949 0.9945632248 1.0040502872 1.21663140529.4627922028 9.4700303522 11.038516485 10.8546979993.6656843993 4.1734209835 3.0349911457 4.03718612786.1875222348 7.47989502971.4400721771 2.0310734463 1.5525367341 2.2586955193

Page 153: POL Country MetaData en EXCEL

79.992679019 79.642295084 79.50914906 79.0241474334.5212441298 3.9330697912 3.6458544044 4.74246657920.9969034018 1.5234011513 1.2455278716 0.8652996996

140146451144 170457981829 136502777132 15575165713880.81140117 80.13328237 83.319503955 82.688592627

18.736915006 19.399254809 16.549876047 17.1779104880.9964134922 1.0464346674 1.4745569908 1.3792179257

15.8323912 16.213432692 12.777519061 13.7742275320.6473677138 0.8118471921 0.5567744091 0.60379075960.6183482866 0.7278687951 0.8019265115 0.62311732440.1536950843 0.2313025084 0.3192173766 0.28906915060.4886985897 0.3683698878 0.6198838186 0.50849277150.4516838242 0.4674628207 0.1306199972 0.1334968847

140638200000 171365500000 136786100000 150737600000

442.19034608 536.36220773 429.5366348 491.612629729.498924283 33.782485876 37.032159689 41.76271120928818000000 35400000000 28856000000 32700000000

4176589210 71720187173.0364712696 4.3161212193 6.1011627909 6.6377603932.281907141 30.943502825 30.187829221 26.84709480136.779096398 33.242937853 31.227474355 29.131498471

0 0

1.376790759 1.20722154681.3689233832

1553390 156634086.353070372 100.04121229171.33258679 190.39662716

161770 161540 16119053.170090386 53.099730458 52.98816568

12502000 12571000 125390000.3279595053 0.3297245833 0.32866246841.091207888 41.322069555 41.219592373

8352852 8598806 85827801.3278553821 1.3115508514 1.3149243918

9337030.693622617

0.445076343600 600 600

304250 304220 304200 3042001242.5131979 1245.9947498

27142811 27664297 2982647191 95 99

108 110 111114 109 110

312680 312680 312680 3126803249.5 3217.2 3475.1

12.477619808 12.484306996 12.350882611 13.279222559

26526000000 24008000000 23176000000 24198000000188559000000 239629000000 173893000000 207139000000

Page 154: POL Country MetaData en EXCEL

4.0569630734 4.4396424713 5.4813773717 4.1323430115164403000000 209086000000 149702000000 177519000000

24156000000 30543000000 24191000000 296200000001575000000 1773000000 1542000000 2248000000

215085000000 263637000000 197069000000 23133700000023.584202683 23.530759912 21.656814518 20.752869683

32.09554562 32.423141145 30.474143276 28.9331532751.3316984849 0.8713627696 1.0595694844 1.1779989854

1955000000 2227000000 2110000000 10550000001232000000 1775000000 1388000000 1575000000

-26499000000 -34957000000 -17155000000 -21873000000-6.230345719 -6.603127756 -3.98441791 -4.659380074

-16385000000 -12882000000 -16551000000 -16923000000-14308000000 -25653000000 -2822000000 -8712000000-19066000000 -30659000000 -7617000000 -11810000000

-3295492437 -12153627070 -10050396340 -945163067217987000000 10365000000 8460000000 357400000011760000000 8000000000 23214000000 29129000000

2.7649671932 1.5111428912 5.3916804058 6.2050510753-6227000000 -2365000000 14754000000 25555000000

-13043507563 1956627070 -14761225460 -151083693284194000000 3578000000 2218000000 37620000004293000000 5782000000 6812000000 82380000001169000000 1563000000 1531000000 2100000000

4.0430241406 4.3967481504 5.2818602084 6.418485237529.733001314 34.060029818 37.314565652 41.79350816110141000000 11126000000 6625000000 7275000000

174251000000 213976000000 171071000000 1984270000001.4352908626 2.0225604096 1.5455737252 2.2586955193

145337000000 178427000000 142085000000 16570900000028914000000 35549000000 28986000000 32718000000

103000000 207000000 103000000 237000000184392000000 225102000000 177696000000 20570200000032.174725047 30.813806296 30.052439109 26.83232471436.656982777 33.103603477 31.087421514 29.11547160623651000000 14978000000 13022000000 9056000000

5.5607346161 2.829237278 3.0244879058 1.9291064759-470000000 564000000 1579000000 7822000000

10397000000 11172000000 10349000000 99360000004242000000 4700000000 3652000000 3613000000

10496000000 10447000000 8126000000 76140000002.4677802432 1.973363723 1.8873436279 1.6219320571.4471941501 1.4385551922 3.7610779813 3.39372882623.221745772 -57.7975257 41.900167708 11.259097691

207321870000 90232639217 135277059782 19023489312748.744754687 17.044297404 31.412638143 40.597722057

328 349 354 56984568110000 67954587589 55778243711 77463888144

19.883342632 12.836133476 12.952246218 16.53144356847.460043819 45.675387523 49.468598432 47.595111302

Page 155: POL Country MetaData en EXCEL

-258325465.8 -73612478.39 26582666440 0 0

Page 156: POL Country MetaData en EXCEL

2620.2697929 2651.1983177 2979.0703382

72512.122 71357.995 67523.832 67791.289

145789000000 140491000000 134696000000 13825500000091.829227581 90.809256027 89.131225971 88.07621741596.434262823 95.595630535 94.100753701 92.975180287

2352000000 2152000000 2375000000 29160000001.48147215 1.3909895934 1.5715883299 1.8576561425

14416000000 12589000000 125330000009.0803156947 8.1371598475 8.293354332

4517000000 4679000000 4787000000 48130000002.845157186 3.0243681727 3.1676603516 3.0661519252

0 0 0 00 0 0 0

2794000000 2726000000 2723000000 28770000001.7598780557 1.7620063344 1.8018673778 1.8328109472

158761000000 154710000000 151121000000 1569720000005429000000 6606000000 8679000000 107840000003077000000 4454000000 6304000000 7868000000

1.9381334207 2.8789347812 4.1714917186 5.0123588926.6067151611 7.0334641655 7.6805517399 7.42770910346.1708648511 6.4091882543 6.7820646804 6.514276554225.017875335 27.098854698 28.156334096 33.348498990.2667935035 0.2768850218 0.3332178034 0.401851061594.924837971 93.800016548 92.786442406 92.500616778162.05183943 156.02599898 147.44772383 153.50898779

96705.878 97883.229 93987.175 101710.0715109.902 5855.254 6655.065 7335.35

5.28396216 5.9818766298 7.0808224633 7.2120193486

Page 157: POL Country MetaData en EXCEL

139584000000 142047000000 1369960000003661.6461038 3725.7487779 3590.83208122536.8430579 2567.3778455 2463.5183743 2663.43968473.2594122045 3.2290114173

28345.91 28734.6128.9928685273 9.0913309821.3937889406 1.3294448141

315204.319 316066.06461301.239 64590.538

19.448096141 20.4357713018.2686172239 8.29009237560.4933483774 0.45909260950.5281937432 0.5038097321

216994.725 214134.46568.842560815 67.749907184

35.220329982 35.073095719

63.25

-26.96011308 -34.85782161 -37.175300140.0320171022

38.44 39.74174.01 166.79

39.67 37.739.85 10.26

42.24 44.16645

125.2935415 125.32298665 125.40793833 125.52589573

1703584 1706632 1709563 17122647.2807714194 7.2999391516 7.314679926 7.3265279807

1703584 1706632 1709563 17122644.4689374972 4.4763226878 4.4809729227 4.4838351242

1.51.57

0.5252697331

8.849 9.69129 30.66

62.17 59.6412.68 11.96

Page 158: POL Country MetaData en EXCEL

20.57 19.453.6 53.6

1406.0653883 1404.921308321.833298104 21.833298104 21.8333014224.4706249591 4.4706249591 4.4706249629

5.2 4.5 7.642.1583932.5776411.24845

8 7.9 91527.387202.0365

253.22360.0753625537 0.0761395148 0.1190408367 0.149656812365724834811 62183606786 79521598778 93472496388

3.6669131633 2.8304194079 4.8422592358 4.848640540262966789811 59305604036 75923342822 88821818001-2.182225367 7.4738686484 1.7078722353 1.244696642422.071334947 31.135847487 7.8626514323 9.0227698204

544530000000 761800000000 825711000000 899861000000120907202690 67055502234 76200026812 10108594098022.363638557 30.031595745

562734000000 667790000000 722184000000 78519600000045.046684178 48.23949846 51.734746897 53.250687813.0932527783 4.4574208209 2.9106396843 2.785888362613.128734209 18.668855978 8.1453750431 8.725200226

335266000000 349942000000 388345000000 449192000000562734000000 667790000000 722184000000 78519600000045.046684178 48.23949846 51.734746897 53.250687813.0932527783 4.4574208209 2.9106396843 2.785888362613.128734209 18.668855978 8.1453750431 8.725200226

227468000000 317848000000 333839000000 336004000000103.52962917 108.03252433 112.16582481 115.202661082.3880597015 4.3493782353 3.8259778766 2.7074523587104.47360913 107.14693295 110.76590877 113.18978095

5.2603088031 8.1508069423 8.587607547 8.785879513541.01426232 51.577975149 52.87821785 54.792272224

46.274571123 59.728782091 61.465825397 63.57815173839.443223082 49.641298007 52.87821785 54.792272224

0.5670767301 0.6059600037-22076000000 -47173000000 -82089000000

Page 159: POL Country MetaData en EXCEL

-1.876035172 -3.698589968 -6.110695075504094000000 569312000000 64592900000042.838289269 44.636797571 48.08287540422438000000 63775000000 20846000000

1.9067982055 5.0002665763 1.55177367910683000000 -11396000000 47790000000

0.9078494175 -0.893501182 3.557481728733532000000 36826000000 41149000000

8.6115063202 8.8816106813 9.9694005858140422000000 144337000000 15208500000036.062416214 34.810868433 36.846491727

384374000000 407234000000 40329700000032.664393148 31.929103237 30.021379133

0 0 00 0 0

150291000000 162210000000 15455100000038.596919252 39.121437805 37.44394347215.259689163 15.092419086 13.43797876

1760000000 1745000000 15890000000.8169631253 0.74742257 0.7238553383

1760000000 1745000000 15890000000.4519936515 0.4208551197 0.3849760026

3080000000 3445000000 35440000000.7909888902 0.8308572421 0.8586248919

215432000000 233469000000 21951900000018.30757425 18.305091922 16.340967391

60301000000 66069000000 5983500000015.486175671 15.934370719 14.4965633227.990734895 28.298831965 27.2573216948486000000 54705000000 59480000000

12.037717486 12.176717662 12.38596396233730000000 34463000000 25409000000

8.3742154604 7.6710761498 5.291105553523004000000 28863000000 33325000000

5.9077624773 6.9611125046 8.07383592615.7112497021 6.4245791403 6.939513265829222000000 33282000000 33765000000

7.2550051641 7.4081988341 7.031137747402784000000 449259000000 48022100000034.228888868 35.224065258 35.747592242

279639000000 309364000000 34038700000069.426541273 68.860946581 70.881323391

7 7 7 7 759 62

0.5029532 0.4611877 0.523761813781 12678 14434

4 4 5 5 551.5 50 68.3 91.7 74.8

0 0 0 0 05.96

82.97

Page 160: POL Country MetaData en EXCEL

INDICATOR_CODEAG.AGR.TRAC.NOAG.CON.FERT.PT.ZSAG.CON.FERT.ZSAG.LND.AGRI.K2AG.LND.AGRI.ZSAG.LND.ARBL.HAAG.LND.ARBL.HA.PCAG.LND.ARBL.ZSAG.LND.CREL.HAAG.LND.CROP.ZSAG.LND.EL5M.ZSAG.LND.FRST.K2AG.LND.FRST.ZSAG.LND.IRIG.AG.ZSAG.LND.PRCP.MMAG.LND.TOTL.K2AG.LND.TRAC.ZSAG.PRD.CREL.MTAG.PRD.CROP.XDAG.PRD.FOOD.XDAG.PRD.LVSK.XDAG.SRF.TOTL.K2AG.YLD.CREL.KGBG.GSR.NFSV.GD.ZSBM.GSR.CMCP.ZSBM.GSR.FCTY.CDBM.GSR.GNFS.CDBM.GSR.INSF.ZSBM.GSR.MRCH.CDBM.GSR.NFSV.CDBM.GSR.ROYL.CDBM.GSR.TOTL.CDBM.GSR.TRAN.ZSBM.GSR.TRVL.ZSBM.KLT.DINV.GD.ZSBM.TRF.PRVT.CDBM.TRF.PWKR.CDBM.TRF.PWKR.CD.DTBN.CAB.XOKA.CDBN.CAB.XOKA.GD.ZSBN.GSR.FCTY.CDBN.GSR.GNFS.CDBN.GSR.MRCH.CDBN.KAC.EOMS.CDBN.KLT.DINV.CDBN.KLT.PRVT.CDBN.KLT.PRVT.GD.ZSBN.KLT.PTXL.CDBN.RES.INCL.CDBN.TRF.CURR.CDBN.TRF.KOGT.CDBX.GSR.CCIS.CDBX.GSR.CCIS.ZSBX.GSR.CMCP.ZSBX.GSR.FCTY.CDBX.GSR.GNFS.CD

Page 161: POL Country MetaData en EXCEL

BX.GSR.INSF.ZSBX.GSR.MRCH.CDBX.GSR.NFSV.CDBX.GSR.ROYL.CDBX.GSR.TOTL.CDBX.GSR.TRAN.ZSBX.GSR.TRVL.ZSBX.KLT.DINV.CD.WDBX.KLT.DINV.WD.GD.ZSBX.PEF.TOTL.CD.WDBX.TRF.CURR.CDBX.TRF.PWKR.CDBX.TRF.PWKR.CD.DTBX.TRF.PWKR.DT.GD.ZSCM.FIN.INTL.GD.ZSCM.MKT.INDX.ZGCM.MKT.LCAP.CDCM.MKT.LCAP.GD.ZSCM.MKT.LDOM.NOCM.MKT.TRAD.CDCM.MKT.TRAD.GD.ZSCM.MKT.TRNRDC.DAC.AUSL.CDDC.DAC.AUTL.CDDC.DAC.BELL.CDDC.DAC.CANL.CDDC.DAC.CECL.CDDC.DAC.CHEL.CDDC.DAC.DEUL.CDDC.DAC.DNKL.CDDC.DAC.ESPL.CDDC.DAC.FINL.CDDC.DAC.FRAL.CDDC.DAC.GBRL.CDDC.DAC.GRCL.CDDC.DAC.IRLL.CDDC.DAC.ITAL.CDDC.DAC.JPNL.CDDC.DAC.KORL.CDDC.DAC.LUXL.CDDC.DAC.NLDL.CDDC.DAC.NORL.CDDC.DAC.NZLL.CDDC.DAC.PRTL.CDDC.DAC.SWEL.CDDC.DAC.TOTL.CDDC.DAC.USAL.CDDT.DOD.DECT.CDDT.DOD.DECT.GN.ZSDT.DOD.DIMF.CDDT.DOD.DLXF.CDDT.DOD.DPNG.CDDT.DOD.DPPG.CDDT.DOD.DSTC.CDDT.DOD.DSTC.IR.ZSDT.DOD.DSTC.XP.ZSDT.DOD.DSTC.ZS

Page 162: POL Country MetaData en EXCEL

DT.DOD.MWBG.CDDT.DOD.PVLX.CDDT.DOD.PVLX.EX.ZSDT.DOD.PVLX.GN.ZSDT.NFL.BLAT.CDDT.NFL.BOND.CDDT.NFL.IAEA.CDDT.NFL.IFAD.CDDT.NFL.IMFC.CDDT.NFL.IMFN.CDDT.NFL.MIBR.CDDT.NFL.MIDA.CDDT.NFL.MLAT.CDDT.NFL.MOTH.CDDT.NFL.PCBO.CDDT.NFL.RDBC.CDDT.NFL.RDBN.CDDT.NFL.UNAI.CDDT.NFL.UNCF.CDDT.NFL.UNCR.CDDT.NFL.UNDP.CDDT.NFL.UNEC.CDDT.NFL.UNFP.CDDT.NFL.UNRW.CDDT.NFL.UNTA.CDDT.NFL.WFPG.CDDT.NFL.WHOL.CDDT.ODA.ALLD.CDDT.ODA.ALLD.KDDT.ODA.OATL.CDDT.ODA.OATL.KDDT.ODA.ODAT.CDDT.ODA.ODAT.GI.ZSDT.ODA.ODAT.GN.ZSDT.ODA.ODAT.KDDT.ODA.ODAT.MP.ZSDT.ODA.ODAT.PC.ZSDT.ODA.ODAT.XP.ZSDT.TDS.DECT.CDDT.TDS.DECT.EX.ZSDT.TDS.DECT.GN.ZSDT.TDS.DPPF.XP.ZSDT.TDS.DPPG.CDDT.TDS.DPPG.GN.ZSDT.TDS.DPPG.XP.ZSDT.TDS.MLAT.CDDT.TDS.MLAT.PG.ZSEA.PRD.AGRI.KDEE.BOD.CGLS.ZSEE.BOD.CHEM.ZSEE.BOD.FOOD.ZSEE.BOD.MTAL.ZSEE.BOD.OTHR.ZSEE.BOD.PAPR.ZSEE.BOD.TOTL.KGEE.BOD.TXTL.ZSEE.BOD.WOOD.ZS

Page 163: POL Country MetaData en EXCEL

EE.BOD.WRKR.KGEG.EGY.PROD.KT.OEEG.ELC.ACCS.ZSEG.ELC.COAL.KHEG.ELC.COAL.ZSEG.ELC.FOSL.ZSEG.ELC.HYRO.KHEG.ELC.HYRO.ZSEG.ELC.LOSS.KHEG.ELC.LOSS.ZSEG.ELC.NGAS.KHEG.ELC.NGAS.ZSEG.ELC.NUCL.KHEG.ELC.NUCL.ZSEG.ELC.PETR.KHEG.ELC.PETR.ZSEG.ELC.PROD.KHEG.ELC.RNEW.KHEG.ELC.RNWX.KHEG.ELC.RNWX.ZSEG.GDP.PUSE.KO.PPEG.GDP.PUSE.KO.PP.KDEG.IMP.CONS.ZSEG.USE.COMM.CL.ZSEG.USE.COMM.FO.ZSEG.USE.COMM.GD.PP.KDEG.USE.COMM.KT.OEEG.USE.CRNW.KT.OEEG.USE.CRNW.ZSEG.USE.ELEC.KHEG.USE.ELEC.KH.PCEG.USE.PCAP.KG.OEEN.ATM.CO2E.EG.ZSEN.ATM.CO2E.GF.KTEN.ATM.CO2E.GF.ZSEN.ATM.CO2E.KD.GDEN.ATM.CO2E.KTEN.ATM.CO2E.LF.KTEN.ATM.CO2E.LF.ZSEN.ATM.CO2E.PCEN.ATM.CO2E.PP.GDEN.ATM.CO2E.PP.GD.KDEN.ATM.CO2E.SF.KTEN.ATM.CO2E.SF.ZSEN.ATM.GHGO.KT.CEEN.ATM.HFCG.KT.CEEN.ATM.METH.AG.KT.CEEN.ATM.METH.AG.ZSEN.ATM.METH.EG.KT.CEEN.ATM.METH.EG.ZSEN.ATM.METH.KT.CEEN.ATM.NOXE.AG.KT.CEEN.ATM.NOXE.AG.ZSEN.ATM.NOXE.EG.KT.CEEN.ATM.NOXE.EI.ZSEN.ATM.NOXE.IN.KT.CEEN.ATM.NOXE.KT.CE

Page 164: POL Country MetaData en EXCEL

EN.ATM.PFCG.KT.CEEN.ATM.PM10.MC.M3EN.ATM.SF6G.KT.CEEN.BIR.THRD.NOEN.CLC.DRSK.XQEN.CLC.GHGR.MT.CEEN.CLC.MDAT.ZSEN.CO2.BLDG.MTEN.CO2.ETOT.MTEN.CO2.MANF.MTEN.CO2.OTHX.MTEN.CO2.TRAN.MTEN.FSH.THRD.NOEN.HPT.THRD.NOEN.MAM.THRD.NOEN.POP.DNSTEN.POP.EL5M.ZSEN.URB.LCTYEN.URB.LCTY.UR.ZSEN.URB.MCTYEN.URB.MCTY.TL.ZSEP.PMP.DESL.CDEP.PMP.SGAS.CDER.BDV.TOTL.XQER.GDP.FWTL.M3.KDER.H2O.FWAG.ZSER.H2O.FWDM.ZSER.H2O.FWIN.ZSER.H2O.FWTL.K3ER.H2O.FWTL.ZSER.H2O.INTR.K3ER.H2O.INTR.PCER.LND.PTLD.ZSER.MRN.PTMR.ZSFB.AST.LOAN.CB.P3FB.AST.LOAN.CO.P3FB.AST.LOAN.MF.P3FB.AST.LOAN.SF.P3FB.AST.NPER.ZSFB.ATM.TOTL.P5FB.BNK.BRCH.CB.P5FB.BNK.BRCH.CO.P5FB.BNK.BRCH.MF.P5FB.BNK.BRCH.SF.P5FB.BNK.CAPA.ZSFB.LBL.DDPT.CB.P3FB.LBL.DDPT.CO.P3FB.LBL.DDPT.MF.P3FB.LBL.DDPT.SF.P3FB.POS.TOTL.P5FD.RES.LIQU.AS.ZSFI.RES.TOTL.CDFI.RES.TOTL.DT.ZSFI.RES.TOTL.MOFI.RES.XGLD.CDFM.AST.CGOV.ZG.M3FM.AST.DOMO.ZG.M3

Page 165: POL Country MetaData en EXCEL

FM.AST.DOMS.CNFM.AST.NFRG.CNFM.AST.PRVT.ZG.M3FM.LBL.BMNY.CNFM.LBL.BMNY.GD.ZSFM.LBL.BMNY.IR.ZSFM.LBL.BMNY.ZGFM.LBL.MONY.CNFM.LBL.MQMY.CNFM.LBL.MQMY.GD.ZSFM.LBL.MQMY.IR.ZSFM.LBL.MQMY.ZGFM.LBL.QMNY.CNFP.CPI.TOTLFP.CPI.TOTL.ZGFP.WPI.TOTLFR.INR.DPSTFR.INR.LENDFR.INR.LNDPFR.INR.RINRFR.INR.RISKFS.AST.CGOV.GD.ZSFS.AST.DOMO.GD.ZSFS.AST.DOMS.GD.ZSFS.AST.PRVT.GD.ZSFS.LBL.LIQU.GD.ZSFS.LBL.QLIQ.GD.ZSGB.XPD.RSDV.GD.ZSGC.BAL.CASH.CNGC.BAL.CASH.GD.ZSGC.DOD.TOTL.CNGC.DOD.TOTL.GD.ZSGC.FIN.DOMS.CNGC.FIN.DOMS.GD.ZSGC.FIN.FRGN.CNGC.FIN.FRGN.GD.ZSGC.REV.GOTR.CNGC.REV.GOTR.ZSGC.REV.SOCL.CNGC.REV.SOCL.ZSGC.REV.XGRT.CNGC.REV.XGRT.GD.ZSGC.TAX.EXPT.CNGC.TAX.EXPT.ZSGC.TAX.GSRV.CNGC.TAX.GSRV.RV.ZSGC.TAX.GSRV.VA.ZSGC.TAX.IMPT.CNGC.TAX.IMPT.ZSGC.TAX.INTT.CNGC.TAX.INTT.RV.ZSGC.TAX.OTHR.CNGC.TAX.OTHR.RV.ZSGC.TAX.TOTL.CNGC.TAX.TOTL.GD.ZSGC.TAX.YPKG.CNGC.TAX.YPKG.RV.ZS

Page 166: POL Country MetaData en EXCEL

GC.TAX.YPKG.ZSGC.XPN.COMP.CNGC.XPN.COMP.ZSGC.XPN.GSRV.CNGC.XPN.GSRV.ZSGC.XPN.INTP.CNGC.XPN.INTP.RV.ZSGC.XPN.INTP.ZSGC.XPN.OTHR.CNGC.XPN.OTHR.ZSGC.XPN.TOTL.CNGC.XPN.TOTL.GD.ZSGC.XPN.TRFT.CNGC.XPN.TRFT.ZSIC.BUS.DISC.XQIC.BUS.EASE.XQIC.BUS.NDNS.ZSIC.BUS.NREGIC.CRD.INFO.XQIC.CRD.PRVT.ZSIC.CRD.PUBL.ZSIC.CUS.DURS.EXIC.ELC.DURSIC.ELC.OUTGIC.EMP.FIRE.WKIC.EXP.COST.CDIC.EXP.DOCSIC.EXP.DURSIC.FRM.BNKS.ZSIC.FRM.CORR.ZSIC.FRM.CRIM.ZSIC.FRM.DURSIC.FRM.FEMO.ZSIC.FRM.FREG.ZSIC.FRM.INFM.ZSIC.FRM.ISOC.ZSIC.FRM.OUTG.ZSIC.FRM.TRNG.ZSIC.GOV.DURS.ZSIC.IMP.COST.CDIC.IMP.DOCSIC.IMP.DURSIC.ISV.DURSIC.LGL.CRED.XQIC.LGL.DURSIC.LGL.PROCIC.PRP.DURSIC.PRP.PROCIC.REG.COST.PC.ZSIC.REG.DURSIC.REG.PROCIC.TAX.DURSIC.TAX.GIFT.ZSIC.TAX.LABR.CP.ZSIC.TAX.METGIC.TAX.OTHR.CP.ZSIC.TAX.PAYM

Page 167: POL Country MetaData en EXCEL

IC.TAX.PRFT.CP.ZSIC.TAX.TOTL.CP.ZSIC.WRH.DURSIC.WRH.PROCIE.PPI.ENGY.CDIE.PPI.TELE.CDIE.PPI.TRAN.CDIE.PPI.WATR.CDIP.JRN.ARTC.SCIP.PAT.NRESIP.PAT.RESDIP.TMK.AGGDIP.TMK.MDRDIP.TMK.NRESIP.TMK.RESDIP.TMK.TOTLIQ.CPA.BREG.XQIQ.CPA.DEBT.XQIQ.CPA.ECON.XQIQ.CPA.ENVR.XQIQ.CPA.FINQ.XQIQ.CPA.FINS.XQIQ.CPA.FISP.XQIQ.CPA.GNDR.XQIQ.CPA.HRES.XQIQ.CPA.IRAI.XQIQ.CPA.MACR.XQIQ.CPA.PADM.XQIQ.CPA.PRES.XQIQ.CPA.PROP.XQIQ.CPA.PROT.XQIQ.CPA.PUBS.XQIQ.CPA.REVN.XQIQ.CPA.SOCI.XQIQ.CPA.STRC.XQIQ.CPA.TRAD.XQIQ.CPA.TRAN.XQIQ.WEF.CUST.XQIQ.WEF.PORT.XQIS.AIR.DPRTIS.AIR.GOOD.MT.K1IS.AIR.PSGRIS.ROD.DESL.KTIS.ROD.DESL.PCIS.ROD.DNST.K2IS.ROD.ENGY.KTIS.ROD.ENGY.PCIS.ROD.ENGY.ZSIS.ROD.GOOD.MT.K6IS.ROD.PAVE.ZSIS.ROD.PSGR.K6IS.ROD.SGAS.KTIS.ROD.SGAS.PCIS.ROD.TOTL.KMIS.RRS.GOOD.MT.K6IS.RRS.PASG.KMIS.RRS.TOTL.KM

Page 168: POL Country MetaData en EXCEL

IS.SHP.GCNW.XQIS.SHP.GOOD.TUIS.VEH.NVEH.P3IS.VEH.PCAR.P3IS.VEH.ROAD.K1IT.CEL.SETSIT.CEL.SETS.P2IT.MLT.MAINIT.MLT.MAIN.P2IT.NET.BBNDIT.NET.BBND.P2IT.NET.SECRIT.NET.SECR.P6IT.NET.USERIT.NET.USER.P2IT.PRT.NEWS.P3IT.TEL.TOTL.P2LP.EXP.DURS.MDLP.IMP.DURS.MDLP.LPI.CUST.XQLP.LPI.INFR.XQLP.LPI.ITRN.XQLP.LPI.LOGS.XQLP.LPI.OVRL.XQLP.LPI.TIME.XQLP.LPI.TRAC.XQMS.MIL.MPRT.KDMS.MIL.TOTL.P1MS.MIL.TOTL.TF.ZSMS.MIL.XPND.CNMS.MIL.XPND.GD.ZSMS.MIL.XPND.ZSMS.MIL.XPRT.KDNE.CON.GOVT.CDNE.CON.GOVT.CNNE.CON.GOVT.KDNE.CON.GOVT.KD.ZGNE.CON.GOVT.KNNE.CON.GOVT.ZSNE.CON.PETC.CDNE.CON.PETC.CNNE.CON.PETC.KDNE.CON.PETC.KD.ZGNE.CON.PETC.KNNE.CON.PETC.ZSNE.CON.PRVT.CDNE.CON.PRVT.CNNE.CON.PRVT.KDNE.CON.PRVT.KD.ZGNE.CON.PRVT.KNNE.CON.PRVT.PC.KDNE.CON.PRVT.PC.KD.ZGNE.CON.PRVT.PP.CDNE.CON.PRVT.PP.KDNE.CON.TETC.CDNE.CON.TETC.CNNE.CON.TETC.KD

Page 169: POL Country MetaData en EXCEL

NE.CON.TETC.KD.ZGNE.CON.TETC.KNNE.CON.TETC.ZSNE.CON.TOTL.CDNE.CON.TOTL.CNNE.CON.TOTL.KDNE.CON.TOTL.KNNE.DAB.DEFL.ZSNE.DAB.TOTL.CDNE.DAB.TOTL.CNNE.DAB.TOTL.KDNE.DAB.TOTL.KNNE.DAB.TOTL.ZSNE.EXP.GNFS.CDNE.EXP.GNFS.CNNE.EXP.GNFS.KDNE.EXP.GNFS.KD.ZGNE.EXP.GNFS.KNNE.EXP.GNFS.ZSNE.GDI.FPRV.CNNE.GDI.FPRV.ZSNE.GDI.FTOT.CDNE.GDI.FTOT.CNNE.GDI.FTOT.KDNE.GDI.FTOT.KD.ZGNE.GDI.FTOT.KNNE.GDI.FTOT.ZSNE.GDI.STKB.CDNE.GDI.STKB.CNNE.GDI.STKB.KNNE.GDI.TOTL.CDNE.GDI.TOTL.CNNE.GDI.TOTL.KDNE.GDI.TOTL.KD.ZGNE.GDI.TOTL.KNNE.GDI.TOTL.ZSNE.IMP.GNFS.CDNE.IMP.GNFS.CNNE.IMP.GNFS.KDNE.IMP.GNFS.KD.ZGNE.IMP.GNFS.KNNE.IMP.GNFS.ZSNE.RSB.GNFS.CDNE.RSB.GNFS.CNNE.RSB.GNFS.KNNE.RSB.GNFS.ZSNE.TRD.GNFS.ZSNV.AGR.TOTL.CDNV.AGR.TOTL.CNNV.AGR.TOTL.KDNV.AGR.TOTL.KD.ZGNV.AGR.TOTL.KNNV.AGR.TOTL.ZSNV.IND.MANF.CDNV.IND.MANF.CNNV.IND.MANF.KDNV.IND.MANF.KD.ZG

Page 170: POL Country MetaData en EXCEL

NV.IND.MANF.KNNV.IND.MANF.ZSNV.IND.TOTL.CDNV.IND.TOTL.CNNV.IND.TOTL.KDNV.IND.TOTL.KD.ZGNV.IND.TOTL.KNNV.IND.TOTL.ZSNV.MNF.CHEM.ZS.UNNV.MNF.FBTO.ZS.UNNV.MNF.MTRN.ZS.UNNV.MNF.OTHR.ZS.UNNV.MNF.TXTL.ZS.UNNV.SRV.TETC.CDNV.SRV.TETC.CNNV.SRV.TETC.KDNV.SRV.TETC.KD.ZGNV.SRV.TETC.KNNV.SRV.TETC.ZSNY.ADJ.AEDU.CDNY.ADJ.AEDU.GN.ZSNY.ADJ.DCO2.CDNY.ADJ.DCO2.GN.ZSNY.ADJ.DFOR.CDNY.ADJ.DFOR.GN.ZSNY.ADJ.DKAP.CDNY.ADJ.DKAP.GN.ZSNY.ADJ.DMIN.CDNY.ADJ.DMIN.GN.ZSNY.ADJ.DNGY.CDNY.ADJ.DNGY.GN.ZSNY.ADJ.DPEM.CDNY.ADJ.DPEM.GN.ZSNY.ADJ.DRES.GN.ZSNY.ADJ.ICTR.GN.ZSNY.ADJ.NNAT.CDNY.ADJ.NNAT.GN.ZSNY.ADJ.NNTY.CDNY.ADJ.NNTY.KDNY.ADJ.NNTY.KD.ZGNY.ADJ.SVNG.CDNY.ADJ.SVNG.GN.ZSNY.ADJ.SVNX.CDNY.ADJ.SVNX.GN.ZSNY.EXP.CAPM.KNNY.GDP.COAL.RT.ZSNY.GDP.DEFL.KD.ZGNY.GDP.DEFL.ZSNY.GDP.DISC.CNNY.GDP.DISC.KNNY.GDP.FCST.CDNY.GDP.FCST.CNNY.GDP.FCST.KDNY.GDP.FCST.KNNY.GDP.FRST.RT.ZSNY.GDP.MINR.RT.ZSNY.GDP.MKTP.CD

Page 171: POL Country MetaData en EXCEL

NY.GDP.MKTP.CNNY.GDP.MKTP.KDNY.GDP.MKTP.KD.ZGNY.GDP.MKTP.KNNY.GDP.MKTP.PP.CDNY.GDP.MKTP.PP.KDNY.GDP.NGAS.RT.ZSNY.GDP.PCAP.CDNY.GDP.PCAP.KDNY.GDP.PCAP.KD.ZGNY.GDP.PCAP.KNNY.GDP.PCAP.PP.CDNY.GDP.PCAP.PP.KDNY.GDP.PETR.RT.ZSNY.GDP.TOTL.RT.ZSNY.GDS.TOTL.CDNY.GDS.TOTL.CNNY.GDS.TOTL.KNNY.GDS.TOTL.ZSNY.GDY.TOTL.KDNY.GDY.TOTL.KNNY.GNP.ATLS.CDNY.GNP.MKTP.CDNY.GNP.MKTP.CNNY.GNP.MKTP.KDNY.GNP.MKTP.KD.ZGNY.GNP.MKTP.KNNY.GNP.MKTP.PP.CDNY.GNP.PCAP.CDNY.GNP.PCAP.KDNY.GNP.PCAP.KD.ZGNY.GNP.PCAP.KNNY.GNP.PCAP.PP.CDNY.GNS.ICTR.CDNY.GNS.ICTR.CNNY.GNS.ICTR.GN.ZSNY.GNS.ICTR.ZSNY.GNY.TOTL.KNNY.GSR.NFCY.CDNY.GSR.NFCY.CNNY.GSR.NFCY.KNNY.TAX.NIND.CDNY.TAX.NIND.CNNY.TAX.NIND.KNNY.TRF.NCTR.CDNY.TRF.NCTR.CNNY.TRF.NCTR.KNNY.TTF.GNFS.KNPA.NUS.ATLSPA.NUS.FCRFPA.NUS.PPPPA.NUS.PPPC.RFPA.NUS.PRVT.PPPX.REX.REERSE.ADT.1524.LT.FE.ZSSE.ADT.1524.LT.FM.ZSSE.ADT.1524.LT.MA.ZS

Page 172: POL Country MetaData en EXCEL

SE.ADT.1524.LT.ZSSE.ADT.LITR.FE.ZSSE.ADT.LITR.MA.ZSSE.ADT.LITR.ZSSE.ENR.PRIM.FM.ZSSE.ENR.PRSC.FM.ZSSE.ENR.SECO.FM.ZSSE.ENR.TERT.FM.ZSSE.PRE.ENRRSE.PRE.ENRR.FESE.PRE.ENRR.MASE.PRM.AGESSE.PRM.CMPT.FE.ZSSE.PRM.CMPT.MA.ZSSE.PRM.CMPT.ZSSE.PRM.DURSSE.PRM.ENRLSE.PRM.ENRL.FE.ZSSE.PRM.ENRL.TC.ZSSE.PRM.ENRRSE.PRM.ENRR.FESE.PRM.ENRR.MASE.PRM.GINT.FE.ZSSE.PRM.GINT.MA.ZSSE.PRM.GINT.ZSSE.PRM.NENRSE.PRM.NENR.FESE.PRM.NENR.MASE.PRM.NINT.FE.ZSSE.PRM.NINT.MA.ZSSE.PRM.NINT.ZSSE.PRM.PRIV.ZSSE.PRM.PRS5.FE.ZSSE.PRM.PRS5.MA.ZSSE.PRM.PRS5.ZSSE.PRM.PRSL.FE.ZSSE.PRM.PRSL.MA.ZSSE.PRM.PRSL.ZSSE.PRM.REPT.FE.ZSSE.PRM.REPT.MA.ZSSE.PRM.REPT.ZSSE.PRM.TCAQ.FE.ZSSE.PRM.TCAQ.MA.ZSSE.PRM.TCAQ.ZSSE.PRM.TCHRSE.PRM.TCHR.FE.ZSSE.PRM.TENRSE.PRM.TENR.FESE.PRM.TENR.MASE.PRM.UNERSE.PRM.UNER.FESE.PRM.UNER.MASE.SEC.AGESSE.SEC.DURSSE.SEC.ENRLSE.SEC.ENRL.FE.ZSSE.SEC.ENRL.GC

Page 173: POL Country MetaData en EXCEL

SE.SEC.ENRL.GC.FE.ZSSE.SEC.ENRL.TC.ZSSE.SEC.ENRL.VOSE.SEC.ENRL.VO.FE.ZSSE.SEC.ENRRSE.SEC.ENRR.FESE.SEC.ENRR.MASE.SEC.NENRSE.SEC.NENR.FESE.SEC.NENR.MASE.SEC.PRIV.ZSSE.SEC.PROG.FE.ZSSE.SEC.PROG.MA.ZSSE.SEC.PROG.ZSSE.SEC.REPT.FE.ZSSE.SEC.REPT.MA.ZSSE.SEC.REPT.ZSSE.SEC.TCHRSE.SEC.TCHR.FESE.SEC.TCHR.FE.ZSSE.TER.ENRRSE.TER.ENRR.FESE.TER.ENRR.MASE.XPD.PRIM.PC.ZSSE.XPD.SECO.PC.ZSSE.XPD.TERT.PC.ZSSE.XPD.TOTL.GB.ZSSE.XPD.TOTL.GD.ZSSG.GEN.PARL.ZSSH.CON.1524.FE.ZSSH.CON.1524.MA.ZSSH.DYN.AIDS.FE.ZSSH.DYN.AIDS.ZSSH.DYN.CHLD.FESH.DYN.CHLD.MASH.DYN.MORTSH.DYN.NMRTSH.H2O.SAFE.RU.ZSSH.H2O.SAFE.UR.ZSSH.H2O.SAFE.ZSSH.HIV.0014SH.HIV.1524.FE.ZSSH.HIV.1524.MA.ZSSH.IMM.IDPTSH.IMM.MEASSH.MED.BEDS.ZSSH.MED.CMHW.P3SH.MED.NUMW.P3SH.MED.PHYS.ZSSH.MLR.INCDSH.MLR.NETS.ZSSH.MLR.TRET.ZSSH.MMR.RISKSH.MMR.RISK.ZSSH.PRV.SMOK.FESH.PRV.SMOK.MASH.STA.ACSN

Page 174: POL Country MetaData en EXCEL

SH.STA.ACSN.RUSH.STA.ACSN.URSH.STA.ANVC.ZSSH.STA.ARIC.ZSSH.STA.BFED.ZSSH.STA.BRTC.ZSSH.STA.BRTW.ZSSH.STA.MALN.ZSSH.STA.MMRTSH.STA.MMRT.NESH.STA.ORCF.ZSSH.STA.OWGH.ZSSH.STA.STNT.ZSSH.STA.WAST.ZSSH.TBS.CURE.ZSSH.TBS.DTEC.ZSSH.TBS.INCDSH.VAC.TTNS.ZSSH.VST.OUTPSH.XPD.EXTR.ZSSH.XPD.OOPC.TO.ZSSH.XPD.OOPC.ZSSH.XPD.PCAPSH.XPD.PCAP.PP.KDSH.XPD.PRIV.ZSSH.XPD.PUBLSH.XPD.PUBL.GX.ZSSH.XPD.PUBL.ZSSH.XPD.TOTL.ZSSI.DST.02ND.20SI.DST.03RD.20SI.DST.04TH.20SI.DST.05TH.20SI.DST.10TH.10SI.DST.FRST.10SI.DST.FRST.20SI.POV.2DAYSI.POV.DDAYSI.POV.GAP2SI.POV.GAPSSI.POV.GINISI.POV.NAGPSI.POV.NAHCSI.POV.RUGPSI.POV.RUHCSI.POV.URGPSI.POV.URHCSL.AGR.0714.FE.ZSSL.AGR.0714.MA.ZSSL.AGR.0714.ZSSL.AGR.EMPL.FE.ZSSL.AGR.EMPL.MA.ZSSL.AGR.EMPL.ZSSL.EMP.1524.SP.FE.ZSSL.EMP.1524.SP.MA.ZSSL.EMP.1524.SP.ZSSL.EMP.INSV.FE.ZS

Page 175: POL Country MetaData en EXCEL

SL.EMP.MPYR.FE.ZSSL.EMP.MPYR.MA.ZSSL.EMP.MPYR.ZSSL.EMP.SELF.FE.ZSSL.EMP.SELF.MA.ZSSL.EMP.SELF.ZSSL.EMP.TOTLSL.EMP.TOTL.SP.FE.ZSSL.EMP.TOTL.SP.MA.ZSSL.EMP.TOTL.SP.ZSSL.EMP.VULN.FE.ZSSL.EMP.VULN.MA.ZSSL.EMP.VULN.ZSSL.EMP.WORK.FE.ZSSL.EMP.WORK.MA.ZSSL.EMP.WORK.ZSSL.FAM.WORK.FE.ZSSL.FAM.WORK.MA.ZSSL.FAM.WORK.ZSSL.GDP.PCAP.EM.KDSL.IND.EMPL.FE.ZSSL.IND.EMPL.MA.ZSSL.IND.EMPL.ZSSL.MNF.0714.FE.ZSSL.MNF.0714.MA.ZSSL.MNF.0714.ZSSL.MNF.WAGE.FMSL.SRV.0714.FE.ZSSL.SRV.0714.MA.ZSSL.SRV.0714.ZSSL.SRV.EMPL.FE.ZSSL.SRV.EMPL.MA.ZSSL.SRV.EMPL.ZSSL.TLF.0714.FE.ZSSL.TLF.0714.MA.ZSSL.TLF.0714.SW.FE.ZSSL.TLF.0714.SW.MA.ZSSL.TLF.0714.SW.ZSSL.TLF.0714.WK.FE.ZSSL.TLF.0714.WK.MA.ZSSL.TLF.0714.WK.ZSSL.TLF.0714.ZSSL.TLF.CACT.FE.ZSSL.TLF.CACT.MA.ZSSL.TLF.CACT.ZSSL.TLF.PART.FE.ZSSL.TLF.PART.MA.ZSSL.TLF.PART.TL.FE.ZSSL.TLF.PART.ZSSL.TLF.PRIM.FE.ZSSL.TLF.PRIM.MA.ZSSL.TLF.PRIM.ZSSL.TLF.SECO.FE.ZSSL.TLF.SECO.MA.ZSSL.TLF.SECO.ZSSL.TLF.TERT.FE.ZSSL.TLF.TERT.MA.ZS

Page 176: POL Country MetaData en EXCEL

SL.TLF.TERT.ZSSL.TLF.TOTL.FE.ZSSL.TLF.TOTL.INSL.UEM.1524.FE.ZSSL.UEM.1524.MA.ZSSL.UEM.1524.ZSSL.UEM.LTRM.FE.ZSSL.UEM.LTRM.MA.ZSSL.UEM.LTRM.ZSSL.UEM.PRIM.FE.ZSSL.UEM.PRIM.MA.ZSSL.UEM.PRIM.ZSSL.UEM.SECO.FE.ZSSL.UEM.SECO.MA.ZSSL.UEM.SECO.ZSSL.UEM.TERT.FE.ZSSL.UEM.TERT.MA.ZSSL.UEM.TERT.ZSSL.UEM.TOTL.FE.ZSSL.UEM.TOTL.MA.ZSSL.UEM.TOTL.ZSSM.EMI.TERT.ZSSM.POP.NETMSM.POP.REFGSM.POP.REFG.ORSM.POP.TOTLSM.POP.TOTL.ZSSN.ITK.DEFC.ZSSN.ITK.DPTHSN.ITK.SALT.ZSSN.ITK.VITA.ZSSP.ADO.TFRTSP.DTH.INFR.ZSSP.DTH.REPT.ZSSP.DYN.AMRT.FESP.DYN.AMRT.MASP.DYN.CBRT.INSP.DYN.CDRT.INSP.DYN.CONU.ZSSP.DYN.IMRT.INSP.DYN.LE00.FE.INSP.DYN.LE00.INSP.DYN.LE00.MA.INSP.DYN.TFRT.INSP.DYN.TO65.FE.ZSSP.DYN.TO65.MA.ZSSP.DYN.WFRTSP.HOU.FEMA.ZSSP.MTR.1519.ZSSP.POP.0014.TOSP.POP.0014.TO.ZSSP.POP.1564.TOSP.POP.1564.TO.ZSSP.POP.65UP.TOSP.POP.65UP.TO.ZSSP.POP.DPNDSP.POP.DPND.OL

Page 177: POL Country MetaData en EXCEL

SP.POP.DPND.YGSP.POP.GROWSP.POP.SCIE.RD.P6SP.POP.TECH.RD.P6SP.POP.TOTLSP.POP.TOTL.FE.ZSSP.REG.BRTH.RU.ZSSP.REG.BRTH.UR.ZSSP.REG.BRTH.ZSSP.RUR.TOTLSP.RUR.TOTL.ZGSP.RUR.TOTL.ZSSP.URB.GROWSP.URB.TOTLSP.URB.TOTL.IN.ZSSP.UWT.TFRTST.INT.ARVLST.INT.DPRTST.INT.RCPT.CDST.INT.RCPT.XP.ZSST.INT.TRNR.CDST.INT.TRNX.CDST.INT.TVLR.CDST.INT.TVLX.CDST.INT.XPND.CDST.INT.XPND.MP.ZSTG.VAL.TOTL.GD.ZSTM.QTY.MRCH.XD.WDTM.TAX.MANF.BC.ZSTM.TAX.MANF.BR.ZSTM.TAX.MANF.IP.ZSTM.TAX.MANF.SM.AR.ZSTM.TAX.MANF.SM.FN.ZSTM.TAX.MANF.SR.ZSTM.TAX.MANF.WM.AR.ZSTM.TAX.MANF.WM.FN.ZSTM.TAX.MRCH.BC.ZSTM.TAX.MRCH.BR.ZSTM.TAX.MRCH.IP.ZSTM.TAX.MRCH.SM.AR.ZSTM.TAX.MRCH.SM.FN.ZSTM.TAX.MRCH.SR.ZSTM.TAX.MRCH.WM.AR.ZSTM.TAX.MRCH.WM.FN.ZSTM.TAX.TCOM.BC.ZSTM.TAX.TCOM.BR.ZSTM.TAX.TCOM.IP.ZSTM.TAX.TCOM.SM.AR.ZSTM.TAX.TCOM.SM.FN.ZSTM.TAX.TCOM.SR.ZSTM.TAX.TCOM.WM.AR.ZSTM.TAX.TCOM.WM.FN.ZSTM.VAL.AGRI.ZS.UNTM.VAL.FOOD.ZS.UNTM.VAL.FUEL.ZS.UNTM.VAL.ICTG.ZS.UNTM.VAL.INSF.ZS.WT

Page 178: POL Country MetaData en EXCEL

TM.VAL.MANF.ZS.UNTM.VAL.MMTL.ZS.UNTM.VAL.MRCH.AL.ZSTM.VAL.MRCH.CD.WTTM.VAL.MRCH.HI.ZSTM.VAL.MRCH.OR.ZSTM.VAL.MRCH.R1.ZSTM.VAL.MRCH.R2.ZSTM.VAL.MRCH.R3.ZSTM.VAL.MRCH.R4.ZSTM.VAL.MRCH.R5.ZSTM.VAL.MRCH.R6.ZSTM.VAL.MRCH.RS.ZSTM.VAL.MRCH.WL.CDTM.VAL.MRCH.WR.ZSTM.VAL.MRCH.XD.WDTM.VAL.OTHR.ZS.WTTM.VAL.SERV.CD.WTTM.VAL.TRAN.ZS.WTTM.VAL.TRVL.ZS.WTTT.PRI.MRCH.XD.WDTX.QTY.MRCH.XD.WDTX.VAL.AGRI.ZS.UNTX.VAL.FOOD.ZS.UNTX.VAL.FUEL.ZS.UNTX.VAL.ICTG.ZS.UNTX.VAL.INSF.ZS.WTTX.VAL.MANF.ZS.UNTX.VAL.MMTL.ZS.UNTX.VAL.MRCH.AL.ZSTX.VAL.MRCH.CD.WTTX.VAL.MRCH.HI.ZSTX.VAL.MRCH.OR.ZSTX.VAL.MRCH.R1.ZSTX.VAL.MRCH.R2.ZSTX.VAL.MRCH.R3.ZSTX.VAL.MRCH.R4.ZSTX.VAL.MRCH.R5.ZSTX.VAL.MRCH.R6.ZSTX.VAL.MRCH.RS.ZSTX.VAL.MRCH.WL.CDTX.VAL.MRCH.WR.ZSTX.VAL.MRCH.XD.WDTX.VAL.OTHR.ZS.WTTX.VAL.SERV.CD.WTTX.VAL.TECH.CDTX.VAL.TECH.MF.ZSTX.VAL.TRAN.ZS.WTTX.VAL.TRVL.ZS.WTVC.BTL.DETHVC.IDP.TOTL.HEVC.IDP.TOTL.LEVC.IHR.ICTS.P5VC.IHR.IPBH.P5VC.IHR.IPOL.P5VC.IHR.NPOL.P5VC.PKP.TOTL.UN

Page 179: POL Country MetaData en EXCEL

INDICATOR_NAMEAgricultural machinery, tractorsFertilizer consumption (% of fertilizer production)Fertilizer consumption (kilograms per hectare of arable land)Agricultural land (sq. km)Agricultural land (% of land area)Arable land (hectares)Arable land (hectares per person)Arable land (% of land area)Land under cereal production (hectares)Permanent cropland (% of land area)Land area where elevation is below 5 meters (% of total land area)Forest area (sq. km)Forest area (% of land area)Agricultural irrigated land (% of total agricultural land)Average precipitation in depth (mm per year)Land area (sq. km)Agricultural machinery, tractors per 100 sq. km of arable landCereal production (metric tons)Crop production index (1999-2001 = 100)Food production index (1999-2001 = 100)Livestock production index (1999-2001 = 100)Surface area (sq. km)Cereal yield (kg per hectare)Trade in services (% of GDP)Communications, computer, etc. (% of service imports, BoP)Income payments (BoP, current US$)Imports of goods and services (BoP, current US$)Insurance and financial services (% of service imports, BoP)Goods imports (BoP, current US$)Service imports (BoP, current US$)Royalty and license fees, payments (BoP, current US$)Imports of goods, services and income (BoP, current US$)Transport services (% of service imports, BoP)Travel services (% of service imports, BoP)Foreign direct investment, net outflows (% of GDP)Private current transfers, payments (BoP, current US$)Workers' remittances, payments (BoP, current US$)Workers' remittances and compensation of employees, paid (current US$)Current account balance (BoP, current US$)Current account balance (% of GDP)Net income (BoP, current US$)Net trade in goods and services (BoP, current US$)Net trade in goods (BoP, current US$)Net errors and omissions, adjusted (BoP, current US$)Foreign direct investment, net (BoP, current US$)Private capital flows, total (BoP, current US$)Private capital flows, total (% of GDP)Portfolio investment, excluding LCFAR (BoP, current US$)Changes in net reserves (BoP, current US$)Net current transfers (BoP, current US$)Net capital account (BoP, current US$)ICT service exports (BoP, current US$)ICT service exports (% of service exports, BoP)Communications, computer, etc. (% of service exports, BoP)Income receipts (BoP, current US$)Exports of goods and services (BoP, current US$)

Page 180: POL Country MetaData en EXCEL

Insurance and financial services (% of service exports, BoP)Goods exports (BoP, current US$)Service exports (BoP, current US$)Royalty and license fees, receipts (BoP, current US$)Exports of goods, services and income (BoP, current US$)Transport services (% of service exports, BoP)Travel services (% of service exports, BoP)Foreign direct investment, net inflows (BoP, current US$)Foreign direct investment, net inflows (% of GDP)Portfolio equity, net inflows (BoP, current US$)Current transfers, receipts (BoP, current US$)Workers' remittances, receipts (BoP, current US$)Workers' remittances and compensation of employees, received (current US$)Workers' remittances and compensation of employees, received (% of GDP)Financing via international capital markets (gross inflows, % of GDP)S&P Global Equity Indices (annual % change)Market capitalization of listed companies (current US$)Market capitalization of listed companies (% of GDP)Listed domestic companies, totalStocks traded, total value (current US$)Stocks traded, total value (% of GDP)Stocks traded, turnover ratio (%)Net bilateral aid flows from DAC donors, Australia (current US$)Net bilateral aid flows from DAC donors, Austria (current US$)Net bilateral aid flows from DAC donors, Belgium (current US$)Net bilateral aid flows from DAC donors, Canada (current US$)Net bilateral aid flows from DAC donors, European Union institutions (current US$)Net bilateral aid flows from DAC donors, Switzerland (current US$)Net bilateral aid flows from DAC donors, Germany (current US$)Net bilateral aid flows from DAC donors, Denmark (current US$)Net bilateral aid flows from DAC donors, Spain (current US$)Net bilateral aid flows from DAC donors, Finland (current US$)Net bilateral aid flows from DAC donors, France (current US$)Net bilateral aid flows from DAC donors, United Kingdom (current US$)Net bilateral aid flows from DAC donors, Greece (current US$)Net bilateral aid flows from DAC donors, Ireland (current US$)Net bilateral aid flows from DAC donors, Italy (current US$)Net bilateral aid flows from DAC donors, Japan (current US$)Net bilateral aid flows from DAC donors, Korea, Rep. (current US$)Net bilateral aid flows from DAC donors, Luxembourg (current US$)Net bilateral aid flows from DAC donors, Netherlands (current US$)Net bilateral aid flows from DAC donors, Norway (current US$)Net bilateral aid flows from DAC donors, New Zealand (current US$)Net bilateral aid flows from DAC donors, Portugal (current US$)Net bilateral aid flows from DAC donors, Sweden (current US$)Net bilateral aid flows from DAC donors, Total (current US$)Net bilateral aid flows from DAC donors, United States (current US$)External debt stocks, total (DOD, current US$)External debt stocks (% of GNI)Use of IMF credit (DOD, current US$)External debt stocks, long-term (DOD, current US$)External debt stocks, private nonguaranteed (PNG) (DOD, current US$)External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$)External debt stocks, short-term (DOD, current US$)Short-term debt (% of total reserves)Short-term debt (% of exports of goods, services and income)Short-term debt (% of total external debt)

Page 181: POL Country MetaData en EXCEL

IBRD loans and IDA credits (DOD, current US$)Present value of external debt (current US$)Present value of external debt (% of exports of goods, services and income)Present value of external debt (% of GNI)Net financial flows, bilateral (NFL, current US$)Portfolio investment, bonds (PPG + PNG) (NFL, current US$)Net official flows from UN agencies, IAEA (current US$)Net official flows from UN agencies, IFAD (current US$)Net financial flows, IMF concessional (NFL, current US$)Net financial flows, IMF nonconcessional (NFL, current US$)Net financial flows, IBRD (NFL, current US$)Net financial flows, IDA (NFL, current US$)Net financial flows, multilateral (NFL, current US$)Net financial flows, others (NFL, current US$)Commercial banks and other lending (PPG + PNG) (NFL, current US$)Net financial flows, RDB concessional (NFL, current US$)Net financial flows, RDB nonconcessional (NFL, current US$)Net official flows from UN agencies, UNAIDS (current US$)Net official flows from UN agencies, UNICEF (current US$)Net official flows from UN agencies, UNHCR (current US$)Net official flows from UN agencies, UNDP (current US$)Net official flows from UN agencies, UNECE (current US$)Net official flows from UN agencies, UNFPA (current US$)Net official flows from UN agencies, UNRWA (current US$)Net official flows from UN agencies, UNTA (current US$)Net official flows from UN agencies, WFP (current US$)Net official flows from UN agencies, WHO (current US$)Net official development assistance and official aid received (current US$)Net official development assistance and official aid received (constant 2009 US$)Net official aid received (current US$)Net official aid received (constant 2009 US$)Net official development assistance received (current US$)Net ODA received (% of gross capital formation)Net ODA received (% of GNI)Net official development assistance received (constant 2009 US$)Net ODA received (% of imports of goods and services)Net ODA received per capita (current US$)Net ODA received (% of central government expense)Debt service on external debt, total (TDS, current US$)Total debt service (% of exports of goods, services and income)Total debt service (% of GNI)Debt service (PPG and IMF only, % of exports, excluding workers' remittances)Debt service on external debt, public and publicly guaranteed (PPG) (TDS, current US$)Public and publicly guaranteed debt service (% of GNI)Public and publicly guaranteed debt service (% of exports, excluding workers' remittances)Multilateral debt service (TDS, current US$)Multilateral debt service (% of public and publicly guaranteed debt service)Agriculture value added per worker (constant 2000 US$)Water pollution, clay and glass industry (% of total BOD emissions)Water pollution, chemical industry (% of total BOD emissions)Water pollution, food industry (% of total BOD emissions)Water pollution, metal industry (% of total BOD emissions)Water pollution, other industry (% of total BOD emissions)Water pollution, paper and pulp industry (% of total BOD emissions)Organic water pollutant (BOD) emissions (kg per day)Water pollution, textile industry (% of total BOD emissions)Water pollution, wood industry (% of total BOD emissions)

Page 182: POL Country MetaData en EXCEL

Organic water pollutant (BOD) emissions (kg per day per worker)Energy production (kt of oil equivalent)Access to electricity (% of population)Electricity production from coal sources (kWh)Electricity production from coal sources (% of total)Electricity production from oil, gas and coal sources (% of total)Electricity production from hydroelectric sources (kWh)Electricity production from hydroelectric sources (% of total)Electric power transmission and distribution losses (kWh)Electric power transmission and distribution losses (% of output)Electricity production from natural gas sources (kWh)Electricity production from natural gas sources (% of total)Electricity production from nuclear sources (kWh)Electricity production from nuclear sources (% of total)Electricity production from oil sources (kWh)Electricity production from oil sources (% of total)Electricity production (kWh)Electricity production from renewable sources (kWh)Electricity production from renewable sources, excluding hydroelectric (kWh)Electricity production from renewable sources, excluding hydroelectric (% of total)GDP per unit of energy use (PPP $ per kg of oil equivalent)GDP per unit of energy use (constant 2005 PPP $ per kg of oil equivalent)Energy imports, net (% of energy use)Alternative and nuclear energy (% of total energy use)Fossil fuel energy consumption (% of total)Energy use (kg of oil equivalent) per $1,000 GDP (constant 2005 PPP)Energy use (kt of oil equivalent)Combustible renewables and waste (metric tons of oil equivalent)Combustible renewables and waste (% of total energy)Electric power consumption (kWh)Electric power consumption (kWh per capita)Energy use (kg of oil equivalent per capita)CO2 intensity (kg per kg of oil equivalent energy use)CO2 emissions from gaseous fuel consumption (kt) CO2 emissions from gaseous fuel consumption (% of total) CO2 emissions (kg per 2000 US$ of GDP)CO2 emissions (kt)CO2 emissions from liquid fuel consumption (kt) CO2 emissions from liquid fuel consumption (% of total) CO2 emissions (metric tons per capita)CO2 emissions (kg per PPP $ of GDP)CO2 emissions (kg per 2005 PPP $ of GDP)CO2 emissions from solid fuel consumption (kt) CO2 emissions from solid fuel consumption (% of total)Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent)HFC gas emissions (thousand metric tons of CO2 equivalent)Agricultural methane emissions (thousand metric tons of CO2 equivalent)Agricultural methane emissions (% of total)Methane emissions in energy sector (thousand metric tons of CO2 equivalent)Energy related methane emissions (% of total)Methane emissions (kt of CO2 equivalent)Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)Agricultural nitrous oxide emissions (% of total)Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)Nitrous oxide emissions in industrial and energy processes (% of total nitrous oxide emissions)Industrial nitrous oxide emissions (thousand metric tons of CO2 equivalent)Nitrous oxide emissions (thousand metric tons of CO2 equivalent)

Page 183: POL Country MetaData en EXCEL

PFC gas emissions (thousand metric tons of CO2 equivalent)PM10, country level (micrograms per cubic meter)SF6 gas emissions (thousand metric tons of CO2 equivalent)Bird species, threatenedDisaster risk reduction progress score (1-5 scale; 5=best)GHG net emissions/removals by LUCF (Mt of CO2 equivalent)Droughts, floods, extreme temperatures (% of population, average 1990-2009)CO2 emissions from residential buildings and commercial and public services (million metric tons)CO2 emissions from electricity and heat production, total (million metric tons)CO2 emissions from manufacturing industries and construction (million metric tons)CO2 emissions from other sectors, excluding residential buildings and commercial and public services (million metric tons)CO2 emissions from transport (million metric tons)Fish species, threatenedPlant species (higher), threatenedMammal species, threatenedPopulation density (people per sq. km of land area)Population living in areas where elevation is below 5 meters (% of total population)Population in largest cityPopulation in the largest city (% of urban population)Population in urban agglomerations of more than 1 millionPopulation in urban agglomerations of more than 1 million (% of total population)Pump price for diesel fuel (US$ per liter)Pump price for gasoline (US$ per liter)GEF benefits index for biodiversity (0 = no biodiversity potential to 100 = maximum)Water productivity, total (constant 2000 US$ GDP per cubic meter of total freshwater withdrawal)Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal)Annual freshwater withdrawals, domestic (% of total freshwater withdrawal)Annual freshwater withdrawals, industry (% of total freshwater withdrawal)Annual freshwater withdrawals, total (billion cubic meters)Annual freshwater withdrawals, total (% of internal resources)Renewable internal freshwater resources, total (billion cubic meters)Renewable internal freshwater resources per capita (cubic meters)Terrestrial protected areas (% of total land area)Marine protected areas (% of territorial waters)Loan accounts, commercial banks (per 1,000 adults)Loan accounts, cooperatives (per 1,000 adults)Loan accounts, microfinance institutions (per 1,000 adults)Loan accounts, specialized state financial institutions (per 1,000 adults)Bank nonperforming loans to total gross loans (%)Automated teller machines (ATMs) (per 100,000 adults)Branches, commercial banks (per 100,000 adults)Branches, cooperatives (per 100,000 adults)Branches, microfinance institutions (per 100,000 adults)Branches, specialized state financial institutions (per 100,000 adults)Bank capital to assets ratio (%)Deposit accounts, commercial banks (per 1,000 adults)Deposit accounts, cooperatives (per 1,000 adults)Deposit accounts, microfinance institutions (per 1,000 adults)Deposit accounts, specialized state financial institutions (per 1,000 adults)Point-of-sale terminals (per 100,000 adults)Bank liquid reserves to bank assets ratio (%)Total reserves (includes gold, current US$)Total reserves (% of total external debt)Total reserves in months of importsTotal reserves minus gold (current US$)Claims on central government (annual growth as % of broad money)Claims on other sectors of the domestic economy (annual growth as % of broad money)

Page 184: POL Country MetaData en EXCEL

Net domestic credit (current LCU)Net foreign assets (current LCU)Claims on private sector (annual growth as % of broad money)Broad money (current LCU)Broad money (% of GDP)Broad money to total reserves ratioBroad money growth (annual %)Money (current LCU)Money and quasi money (M2) (current LCU)Money and quasi money (M2) as % of GDPMoney and quasi money (M2) to total reserves ratioMoney and quasi money growth (annual %)Quasi money (current LCU)Consumer price index (2005 = 100)Inflation, consumer prices (annual %)Wholesale price index (2005 = 100)Deposit interest rate (%)Lending interest rate (%)Interest rate spread (lending rate minus deposit rate, %)Real interest rate (%)Risk premium on lending (prime rate minus treasury bill rate, %)Claims on central government, etc. (% GDP)Claims on other sectors of the domestic economy (% of GDP)Domestic credit provided by banking sector (% of GDP)Domestic credit to private sector (% of GDP)Liquid liabilities (M3) as % of GDPQuasi-liquid liabilities (% of GDP)Research and development expenditure (% of GDP)Cash surplus/deficit (current LCU)Cash surplus/deficit (% of GDP)Central government debt, total (current LCU)Central government debt, total (% of GDP)Net incurrence of liabilities, domestic (current LCU)Net incurrence of liabilities, domestic (% of GDP)Net incurrence of liabilities, foreign (current LCU)Net incurrence of liabilities, foreign (% of GDP)Grants and other revenue (current LCU)Grants and other revenue (% of revenue)Social contributions (current LCU)Social contributions (% of revenue)Revenue, excluding grants (current LCU)Revenue, excluding grants (% of GDP)Taxes on exports (current LCU)Taxes on exports (% of tax revenue)Taxes on goods and services (current LCU)Taxes on goods and services (% of revenue)Taxes on goods and services (% value added of industry and services)Customs and other import duties (current LCU)Customs and other import duties (% of tax revenue)Taxes on international trade (current LCU)Taxes on international trade (% of revenue)Other taxes (current LCU)Other taxes (% of revenue)Tax revenue (current LCU)Tax revenue (% of GDP)Taxes on income, profits and capital gains (current LCU)Taxes on income, profits and capital gains (% of revenue)

Page 185: POL Country MetaData en EXCEL

Taxes on income, profits and capital gains (% of total taxes)Compensation of employees (current LCU)Compensation of employees (% of expense)Goods and services expense (current LCU)Goods and services expense (% of expense)Interest payments (current LCU)Interest payments (% of revenue)Interest payments (% of expense)Other expense (current LCU)Other expense (% of expense)Expense (current LCU)Expense (% of GDP)Subsidies and other transfers (current LCU)Subsidies and other transfers (% of expense)Business extent of disclosure index (0=less disclosure to 10=more disclosure)Ease of doing business index (1=most business-friendly regulations)New business density (new registrations per 1,000 people ages 15-64)New businesses registered (number)Credit depth of information index (0=low to 6=high)Private credit bureau coverage (% of adults)Public credit registry coverage (% of adults)Average time to clear exports through customs (days)Delay in obtaining an electrical connection (days)Power outages in firms in a typical month (number)Firing cost (weeks of wages)Cost to export (US$ per container)Documents to export (number)Time to export (days)Firms using banks to finance investment (% of firms)Informal payments to public officials (% of firms)Losses due to theft, robbery, vandalism, and arson (% sales)Time required to obtain an operating license (days)Firms with female participation in ownership (% of firms)Firms formally registered when operations started (% of firms)Firms that do not report all sales for tax purposes (% of firms)ISO certification ownership (% of firms)Value lost due to electrical outages (% of sales)Firms offering formal training (% of firms)Management time dealing with officials (% of management time)Cost to import (US$ per container)Documents to import (number)Time to import (days)Time to resolve insolvency (years)Strength of legal rights index (0=weak to 10=strong)Time required to enforce a contract (days)Procedures to enforce a contract (number)Time required to register property (days)Procedures to register property (number)Cost of business start-up procedures (% of GNI per capita)Time required to start a business (days)Start-up procedures to register a business (number)Time to prepare and pay taxes (hours)Firms expected to give gifts in meetings with tax officials (% of firms)Labor tax and contributions (% of commercial profits)Average number of times firms spent in meetings with tax officialsOther taxes payable by businesses (% of commercial profits)Tax payments (number)

Page 186: POL Country MetaData en EXCEL

Profit tax (% of commercial profits)Total tax rate (% of commercial profits)Time required to build a warehouse (days)Procedures to build a warehouse (number)Investment in energy with private participation (current US$)Investment in telecoms with private participation (current US$)Investment in transport with private participation (current US$)Investment in water and sanitation with private participation (current US$)Scientific and technical journal articlesPatent applications, nonresidentsPatent applications, residentsTrademark applications, aggregate directTrademark applications, MadridTrademark applications, direct nonresidentTrademark applications, direct residentTrademark applications, totalCPIA business regulatory environment rating (1=low to 6=high)CPIA debt policy rating (1=low to 6=high)CPIA economic management cluster average (1=low to 6=high)CPIA policy and institutions for environmental sustainability rating (1=low to 6=high)CPIA quality of budgetary and financial management rating (1=low to 6=high)CPIA financial sector rating (1=low to 6=high)CPIA fiscal policy rating (1=low to 6=high)CPIA gender equality rating (1=low to 6=high)CPIA building human resources rating (1=low to 6=high)IDA resource allocation index (1=low to 6=high)CPIA macroeconomic management rating (1=low to 6=high)CPIA quality of public administration rating (1=low to 6=high)CPIA equity of public resource use rating (1=low to 6=high)CPIA property rights and rule-based governance rating (1=low to 6=high)CPIA social protection rating (1=low to 6=high)CPIA public sector management and institutions cluster average (1=low to 6=high)CPIA efficiency of revenue mobilization rating (1=low to 6=high)CPIA policies for social inclusion/equity cluster average (1=low to 6=high)CPIA structural policies cluster average (1=low to 6=high)CPIA trade rating (1=low to 6=high)CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high)Burden of customs procedure, WEF (1=extremely inefficient to 7=extremely efficient)Quality of port infrastructure, WEF (1=extremely underdeveloped to 7=well developed and efficient by international standards)Air transport, registered carrier departures worldwideAir transport, freight (million ton-km)Air transport, passengers carriedRoad sector diesel fuel consumption (kt of oil equivalent)Road sector diesel fuel consumption per capita (kt of oil equivalent)Road density (km of road per 100 sq. km of land area)Road sector energy consumption (kt of oil equivalent)Road sector energy consumption per capita (kt of oil equivalent)Road sector energy consumption (% of total energy consumption)Roads, goods transported (million ton-km)Roads, paved (% of total roads)Roads, passengers carried (million passenger-km)Road sector gasoline fuel consumption (kt of oil equivalent)Road sector gasoline fuel consumption per capita (kt of oil equivalent)Roads, total network (km)Railways, goods transported (million ton-km)Railways, passengers carried (million passenger-km)Rail lines (total route-km)

Page 187: POL Country MetaData en EXCEL

Liner shipping connectivity index (maximum value in 2004 = 100)Container port traffic (TEU: 20 foot equivalent units)Motor vehicles (per 1,000 people)Passenger cars (per 1,000 people)Vehicles (per km of road)Mobile cellular subscriptionsMobile cellular subscriptions (per 100 people)Telephone linesTelephone lines (per 100 people)Fixed broadband Internet subscribersFixed broadband Internet subscribers (per 100 people)Secure Internet serversSecure Internet servers (per 1 million people)Internet usersInternet users (per 100 people)Daily newspapers (per 1,000 people)Mobile and fixed-line telephone subscribers (per 100 people)Lead time to export, median case (days)Lead time to import, median case (days)Logistics performance index: Efficiency of customs clearance process (1=low to 5=high)Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high)Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)Logistics performance index: Competence and quality of logistics services (1=low to 5=high)Logistics performance index: Overall (1=low to 5=high)Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high)Logistics performance index: Ability to track and trace consignments (1=low to 5=high)Arms imports (constant 1990 US$)Armed forces personnel, totalArmed forces personnel (% of total labor force)Military expenditure (current LCU)Military expenditure (% of GDP)Military expenditure (% of central government expenditure)Arms exports (constant 1990 US$)General government final consumption expenditure (current US$)General government final consumption expenditure (current LCU)General government final consumption expenditure (constant 2000 US$)General government final consumption expenditure (annual % growth)General government final consumption expenditure (constant LCU)General government final consumption expenditure (% of GDP)Household final consumption expenditure, etc. (current US$)Household final consumption expenditure, etc. (current LCU)Household final consumption expenditure, etc. (constant 2000 US$)Household final consumption expenditure, etc. (annual % growth)Household final consumption expenditure, etc. (constant LCU)Household final consumption expenditure, etc. (% of GDP)Household final consumption expenditure (current US$)Household final consumption expenditure (current LCU)Household final consumption expenditure (constant 2000 US$)Household final consumption expenditure (annual % growth)Household final consumption expenditure (constant LCU)Household final consumption expenditure per capita (constant 2000 US$)Household final consumption expenditure per capita growth (annual %)Household final consumption expenditure, PPP (current international $)Household final consumption expenditure, PPP (constant 2005 international $)Final consumption expenditure, etc. (current US$)Final consumption expenditure, etc. (current LCU)Final consumption expenditure, etc. (constant 2000 US$)

Page 188: POL Country MetaData en EXCEL

Final consumption expenditure, etc. (annual % growth)Final consumption expenditure, etc. (constant LCU)Final consumption expenditure, etc. (% of GDP)Final consumption expenditure (current US$)Final consumption expenditure (current LCU)Final consumption expenditure (constant 2000 US$)Final consumption expenditure (constant LCU)Gross national expenditure deflator (base year varies by country)Gross national expenditure (current US$)Gross national expenditure (current LCU)Gross national expenditure (constant 2000 US$)Gross national expenditure (constant LCU)Gross national expenditure (% of GDP)Exports of goods and services (current US$)Exports of goods and services (current LCU)Exports of goods and services (constant 2000 US$)Exports of goods and services (annual % growth)Exports of goods and services (constant LCU)Exports of goods and services (% of GDP)Gross fixed capital formation, private sector (current LCU)Gross fixed capital formation, private sector (% of GDP)Gross fixed capital formation (current US$)Gross fixed capital formation (current LCU)Gross fixed capital formation (constant 2000 US$)Gross fixed capital formation (annual % growth)Gross fixed capital formation (constant LCU)Gross fixed capital formation (% of GDP)Changes in inventories (current US$)Changes in inventories (current LCU)Changes in inventories (constant LCU)Gross capital formation (current US$)Gross capital formation (current LCU)Gross capital formation (constant 2000 US$)Gross capital formation (annual % growth)Gross capital formation (constant LCU)Gross capital formation (% of GDP)Imports of goods and services (current US$)Imports of goods and services (current LCU)Imports of goods and services (constant 2000 US$)Imports of goods and services (annual % growth)Imports of goods and services (constant LCU)Imports of goods and services (% of GDP)External balance on goods and services (current US$)External balance on goods and services (current LCU)External balance on goods and services (constant LCU)External balance on goods and services (% of GDP)Trade (% of GDP)Agriculture, value added (current US$)Agriculture, value added (current LCU)Agriculture, value added (constant 2000 US$)Agriculture, value added (annual % growth)Agriculture, value added (constant LCU)Agriculture, value added (% of GDP)Manufacturing, value added (current US$)Manufacturing, value added (current LCU)Manufacturing, value added (constant 2000 US$)Manufacturing, value added (annual % growth)

Page 189: POL Country MetaData en EXCEL

Manufacturing, value added (constant LCU)Manufacturing, value added (% of GDP)Industry, value added (current US$)Industry, value added (current LCU)Industry, value added (constant 2000 US$)Industry, value added (annual % growth)Industry, value added (constant LCU)Industry, value added (% of GDP)Chemicals (% of value added in manufacturing)Food, beverages and tobacco (% of value added in manufacturing)Machinery and transport equipment (% of value added in manufacturing)Other manufacturing (% of value added in manufacturing)Textiles and clothing (% of value added in manufacturing)Services, etc., value added (current US$)Services, etc., value added (current LCU)Services, etc., value added (constant 2000 US$)Services, etc., value added (annual % growth)Services, etc., value added (constant LCU)Services, etc., value added (% of GDP)Adjusted savings: education expenditure (current US$)Adjusted savings: education expenditure (% of GNI)Adjusted savings: carbon dioxide damage (current US$)Adjusted savings: carbon dioxide damage (% of GNI)Adjusted savings: net forest depletion (current US$)Adjusted savings: net forest depletion (% of GNI)Adjusted savings: consumption of fixed capital (current US$)Adjusted savings: consumption of fixed capital (% of GNI)Adjusted savings: mineral depletion (current US$)Adjusted savings: mineral depletion (% of GNI)Adjusted savings: energy depletion (current US$)Adjusted savings: energy depletion (% of GNI)Adjusted savings: particulate emission damage (current US$)Adjusted savings: particulate emission damage (% of GNI)Adjusted savings: natural resources depletion (% of GNI)Adjusted savings: gross savings (% of GNI)Adjusted savings: net national savings (current US$)Adjusted savings: net national savings (% of GNI)Adjusted net national income (current US$)Adjusted net national income (constant 2000 US$)Adjusted net national income (annual % growth)Adjusted net savings, including particulate emission damage (current US$)Adjusted net savings, including particulate emission damage (% of GNI)Adjusted net savings, excluding particulate emission damage (current US$)Adjusted net savings, excluding particulate emission damage (% of GNI)Exports as a capacity to import (constant LCU)Coal rents (% of GDP)Inflation, GDP deflator (annual %)GDP deflator (base year varies by country)Discrepancy in expenditure estimate of GDP (current LCU)Discrepancy in expenditure estimate of GDP (constant LCU)Gross value added at factor cost (current US$)Gross value added at factor cost (current LCU)Gross value added at factor cost (constant 2000 US$)Gross value added at factor cost (constant LCU)Forest rents (% of GDP)Mineral rents (% of GDP)GDP (current US$)

Page 190: POL Country MetaData en EXCEL

GDP (current LCU)GDP (constant 2000 US$)GDP growth (annual %)GDP (constant LCU)GDP, PPP (current international $)GDP, PPP (constant 2005 international $)Natural gas rents (% of GDP)GDP per capita (current US$)GDP per capita (constant 2000 US$)GDP per capita growth (annual %)GDP per capita (constant LCU)GDP per capita, PPP (current international $)GDP per capita, PPP (constant 2005 international $)Oil rents (% of GDP)Total natural resources rents (% of GDP)Gross domestic savings (current US$)Gross domestic savings (current LCU)Gross domestic savings (constant LCU)Gross domestic savings (% of GDP)Gross domestic income (constant 2000 US$)Gross domestic income (constant LCU)GNI, Atlas method (current US$)GNI (current US$)GNI (current LCU)GNI (constant 2000 US$)GNI growth (annual %)GNI (constant LCU)GNI, PPP (current international $)GNI per capita, Atlas method (current US$)GNI per capita (constant 2000 US$)GNI per capita growth (annual %)GNI per capita (constant LCU)GNI per capita, PPP (current international $)Gross savings (current US$)Gross savings (current LCU)Gross savings (% of GNI)Gross savings (% of GDP)Gross national income (constant LCU)Net income from abroad (current US$)Net income from abroad (current LCU)Net income from abroad (constant LCU)Net taxes on products (current US$)Net taxes on products (current LCU)Net taxes on products (constant LCU)Net current transfers from abroad (current US$)Net current transfers from abroad (current LCU)Net current transfers from abroad (constant LCU)Terms of trade adjustment (constant LCU)DEC alternative conversion factor (LCU per US$)Official exchange rate (LCU per US$, period average)PPP conversion factor, GDP (LCU per international $)PPP conversion factor (GDP) to market exchange rate ratioPPP conversion factor, private consumption (LCU per international $)Real effective exchange rate index (2005 = 100)Literacy rate, youth female (% of females ages 15-24)Ratio of young literate females to males (% ages 15-24)Literacy rate, youth male (% of males ages 15-24)

Page 191: POL Country MetaData en EXCEL

Literacy rate, youth total (% of people ages 15-24)Literacy rate, adult female (% of females ages 15 and above)Literacy rate, adult male (% of males ages 15 and above)Literacy rate, adult total (% of people ages 15 and above)Ratio of female to male primary enrollment (%)Ratio of girls to boys in primary and secondary education (%)Ratio of female to male secondary enrollment (%)Ratio of female to male tertiary enrollment (%)School enrollment, preprimary (% gross)School enrollment, preprimary, female (% gross)School enrollment, preprimary, male (% gross)Primary school starting age (years)Primary completion rate, female (% of relevant age group)Primary completion rate, male (% of relevant age group)Primary completion rate, total (% of relevant age group)Primary education, duration (years)Primary education, pupilsPrimary education, pupils (% female)Pupil-teacher ratio, primarySchool enrollment, primary (% gross)School enrollment, primary, female (% gross)School enrollment, primary, male (% gross)Gross intake rate in grade 1, female (% of relevant age group)Gross intake rate in grade 1, male (% of relevant age group)Gross intake rate in grade 1, total (% of relevant age group)School enrollment, primary (% net)School enrollment, primary, female (% net)School enrollment, primary, male (% net)Net intake rate in grade 1, female (% of official school-age population)Net intake rate in grade 1, male (% of official school-age population)Net intake rate in grade 1 (% of official school-age population)School enrollment, primary, private (% of total primary)Persistence to grade 5, female (% of cohort)Persistence to grade 5, male (% of cohort)Persistence to grade 5, total (% of cohort)Persistence to last grade of primary, female (% of cohort)Persistence to last grade of primary, male (% of cohort)Persistence to last grade of primary, total (% of cohort)Repeaters, primary, female (% of female enrollment)Repeaters, primary, male (% of male enrollment)Repeaters, primary, total (% of total enrollment)Trained teachers in primary education, female (% of female teachers)Trained teachers in primary education, male (% of male teachers)Trained teachers in primary education (% of total teachers)Primary education, teachersPrimary education, teachers (% female)Total enrollment, primary (% net)Total enrollment, primary, female (% net)Total enrollment, primary, male (% net)Children out of school, primaryChildren out of school, primary, femaleChildren out of school, primary, maleSecondary school starting age (years)Secondary education, duration (years)Secondary education, pupilsSecondary education, pupils (% female)Secondary education, general pupils

Page 192: POL Country MetaData en EXCEL

Secondary education, general pupils (% female)Pupil-teacher ratio, secondarySecondary education, vocational pupilsSecondary education, vocational pupils (% female)School enrollment, secondary (% gross)School enrollment, secondary, female (% gross)School enrollment, secondary, male (% gross)School enrollment, secondary (% net)School enrollment, secondary, female (% net)School enrollment, secondary, male (% net)School enrollment, secondary, private (% of total secondary)Progression to secondary school, female (%)Progression to secondary school, male (%)Progression to secondary school (%)Repeaters, secondary, female (% of female enrollment)Repeaters, secondary, male (% of male enrollment)Repeaters, secondary, total (% of total enrollment)Secondary education, teachersSecondary education, teachers, femaleSecondary education, teachers (% female)School enrollment, tertiary (% gross)School enrollment, tertiary, female (% gross)School enrollment, tertiary, male (% gross)Expenditure per student, primary (% of GDP per capita)Expenditure per student, secondary (% of GDP per capita)Expenditure per student, tertiary (% of GDP per capita)Public spending on education, total (% of government expenditure)Public spending on education, total (% of GDP)Proportion of seats held by women in national parliaments (%)Condom use, population ages 15-24, female (% of females ages 15-24)Condom use, population ages 15-24, male (% of males ages 15-24)Female adults with HIV (% of population ages 15+ with HIV)Prevalence of HIV, total (% of population ages 15-49)Mortality rate, female child (per 1,000 female children age one)Mortality rate, male child (per 1,000 male children age one)Mortality rate, under-5 (per 1,000)Mortality rate, neonatal (per 1,000 live births)Improved water source, rural (% of rural population with access)Improved water source, urban (% of urban population with access)Improved water source (% of population with access)Children (0-14) living with HIVPrevalence of HIV, female (% ages 15-24)Prevalence of HIV, male (% ages 15-24)Immunization, DPT (% of children ages 12-23 months)Immunization, measles (% of children ages 12-23 months)Hospital beds (per 1,000 people)Community health workers (per 1,000 people)Nurses and midwives (per 1,000 people)Physicians (per 1,000 people)Notified cases of malaria (per 100,000 people)Use of insecticide-treated bed nets (% of under-5 population)Children with fever receiving antimalarial drugs (% of children under age 5 with fever)Lifetime risk of maternal death (1 in: rate varies by country)Lifetime risk of maternal death (%)Smoking prevalence, females (% of adults)Smoking prevalence, males (% of adults)Improved sanitation facilities (% of population with access)

Page 193: POL Country MetaData en EXCEL

Improved sanitation facilities, rural (% of rural population with access)Improved sanitation facilities, urban (% of urban population with access)Pregnant women receiving prenatal care (%)ARI treatment (% of children under 5 taken to a health provider)Exclusive breastfeeding (% of children under 6 months)Births attended by skilled health staff (% of total)Low-birthweight babies (% of births)Malnutrition prevalence, weight for age (% of children under 5)Maternal mortality ratio (modeled estimate, per 100,000 live births)Maternal mortality ratio (national estimate, per 100,000 live births)Diarrhea treatment (% of children under 5 receiving oral rehydration and continued feeding)Prevalence of overweight (% of children under 5)Malnutrition prevalence, height for age (% of children under 5)Prevalence of wasting (% of children under 5)Tuberculosis treatment success rate (% of registered cases)Tuberculosis case detection rate (%, all forms)Incidence of tuberculosis (per 100,000 people)Newborns protected against tetanus (%)Outpatient visits per capita External resources for health (% of total expenditure on health)Out-of-pocket health expenditure (% of total expenditure on health)Out-of-pocket health expenditure (% of private expenditure on health)Health expenditure per capita (current US$)Health expenditure per capita, PPP (constant 2005 international $)Health expenditure, private (% of GDP)Health expenditure, public (% of total health expenditure)Health expenditure, public (% of government expenditure)Health expenditure, public (% of GDP)Health expenditure, total (% of GDP)Income share held by second 20%Income share held by third 20%Income share held by fourth 20%Income share held by highest 20%Income share held by highest 10%Income share held by lowest 10%Income share held by lowest 20%Poverty headcount ratio at $2 a day (PPP) (% of population)Poverty headcount ratio at $1.25 a day (PPP) (% of population)Poverty gap at $2 a day (PPP) (%)Poverty gap at $1.25 a day (PPP) (%)GINI indexPoverty gap at national poverty line (%)Poverty headcount ratio at national poverty line (% of population)Poverty gap at rural poverty line (%)Poverty headcount ratio at rural poverty line (% of rural population)Poverty gap at urban poverty line (%)Poverty headcount ratio at urban poverty line (% of urban population)Child employment in agriculture, female (% of female economically active children ages 7-14)Child employment in agriculture, male (% of male economically active children ages 7-14)Child employment in agriculture (% of economically active children ages 7-14)Employees, agriculture, female (% of female employment)Employees, agriculture, male (% of male employment)Employment in agriculture (% of total employment)Employment to population ratio, ages 15-24, female (%)Employment to population ratio, ages 15-24, male (%)Employment to population ratio, ages 15-24, total (%)Share of women employed in the nonagricultural sector (% of total nonagricultural employment)

Page 194: POL Country MetaData en EXCEL

Employers, female (% of employment)Employers, male (% of employment)Employers, total (% of employment)Self-employed, female (% of females employed)Self-employed, male (% of males employed)Self-employed, total (% of total employed)Total employment, total (ages 15+)Employment to population ratio, 15+, female (%)Employment to population ratio, 15+, male (%)Employment to population ratio, 15+, total (%)Vulnerable employment, female (% of female employment)Vulnerable employment, male (% of male employment)Vulnerable employment, total (% of total employment)Wage and salaried workers, female (% of females employed)Wage and salary workers, male (% of males employed)Wage and salaried workers, total (% of total employed)Contributing family workers, female (% of females employed)Contributing family workers, male (% of males employed)Contributing family workers, total (% of total employed)GDP per person employed (constant 1990 PPP $)Employees, industry, female (% of female employment)Employees, industry, male (% of male employment)Employment in industry (% of total employment)Child employment in manufacturing, female (% of female economically active children ages 7-14)Child employment in manufacturing, male (% of male economically active children ages 7-14)Child employment in manufacturing (% of economically active children ages 7-14)Ratio of female to male wages in manufacturing (%)Child employment in services, female (% of female economically active children ages 7-14)Child employment in services, male (% of male economically active children ages 7-14)Child employment in services (% of economically active children ages 7-14)Employees, services, female (% of female employment)Employees, services, male (% of male employment)Employment in services (% of total employment)Economically active children, female (% of female children ages 7-14)Economically active children, male (% of male children ages 7-14)Economically active children, study and work, female (% of female economically active children, ages 7-14)Economically active children, study and work, male (% of male economically active children, ages 7-14)Economically active children, study and work (% of economically active children, ages 7-14)Economically active children, work only, female (% of female economically active children, ages 7-14)Economically active children, work only, male (% of male economically active children, ages 7-14)Economically active children, work only (% of economically active children, ages 7-14)Economically active children, total (% of children ages 7-14)Labor participation rate, female (% of female population ages 15+)Labor participation rate, male (% of male population ages 15+)Labor participation rate, total (% of total population ages 15+)Part time employment, female (% of total female employment)Part time employment, male (% of total male employment)Part time employment, female (% of total part time employment)Part time employment, total (% of total employment)Labor force with primary education, female (% of female labor force)Labor force with primary education, male (% of male labor force)Labor force with primary education (% of total)Labor force with secondary education, female (% of female labor force)Labor force with secondary education, male (% of male labor force)Labor force with secondary education (% of total)Labor force with tertiary education, female (% of female labor force)Labor force with tertiary education, male (% of male labor force)

Page 195: POL Country MetaData en EXCEL

Labor force with tertiary education (% of total)Labor force, female (% of total labor force)Labor force, totalUnemployment, youth female (% of female labor force ages 15-24)Unemployment, youth male (% of male labor force ages 15-24)Unemployment, youth total (% of total labor force ages 15-24)Long-term unemployment, female (% of female unemployment)Long-term unemployment, male (% of male unemployment)Long-term unemployment (% of total unemployment)Unemployment with primary education, female (% of female unemployment)Unemployment with primary education, male (% of male unemployment)Unemployment with primary education (% of total unemployment)Unemployment with secondary education, female (% of female unemployment)Unemployment with secondary education, male (% of male unemployment)Unemployment with secondary education (% of total unemployment)Unemployment with tertiary education, female (% of female unemployment)Unemployment with tertiary education, male (% of male unemployment)Unemployment with tertiary education (% of total unemployment)Unemployment, female (% of female labor force)Unemployment, male (% of male labor force)Unemployment, total (% of total labor force)Emigration rate of tertiary educated (% of total tertiary educated population)Net migrationRefugee population by country or territory of asylumRefugee population by country or territory of originInternational migrant stock, totalInternational migrant stock (% of population)Prevalence of undernourishment (% of population)Depth of hunger (kilocalories per person per day)Consumption of iodized salt (% of households)Vitamin A supplementation coverage rate (% of children ages 6-59 months)Adolescent fertility rate (births per 1,000 women ages 15-19)Completeness of infant death reporting (% of reported infant deaths to estimated infant deaths)Completeness of total death reporting (% of reported total deaths to estimated total deaths)Mortality rate, adult, female (per 1,000 female adults)Mortality rate, adult, male (per 1,000 male adults)Birth rate, crude (per 1,000 people)Death rate, crude (per 1,000 people)Contraceptive prevalence (% of women ages 15-49)Mortality rate, infant (per 1,000 live births)Life expectancy at birth, female (years)Life expectancy at birth, total (years)Life expectancy at birth, male (years)Fertility rate, total (births per woman)Survival to age 65, female (% of cohort)Survival to age 65, male (% of cohort)Wanted fertility rate (births per woman)Female headed households (% of households with a female head)Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)Population ages 0-14, totalPopulation ages 0-14 (% of total)Population ages 15-64, totalPopulation ages 15-64 (% of total)Population ages 65 and above, totalPopulation ages 65 and above (% of total)Age dependency ratio (% of working-age population)Age dependency ratio, old (% of working-age population)

Page 196: POL Country MetaData en EXCEL

Age dependency ratio, young (% of working-age population)Population growth (annual %)Researchers in R&D (per million people)Technicians in R&D (per million people)Population, totalPopulation, female (% of total)Completeness of birth registration, rural (%)Completeness of birth registration, urban (%)Completeness of birth registration (%)Rural populationRural population growth (annual %)Rural population (% of total population)Urban population growth (annual %)Urban populationUrban population (% of total)Unmet need for contraception (% of married women ages 15-49)International tourism, number of arrivalsInternational tourism, number of departuresInternational tourism, receipts (current US$)International tourism, receipts (% of total exports)International tourism, receipts for passenger transport items (current US$)International tourism, expenditures for passenger transport items (current US$)International tourism, receipts for travel items (current US$)International tourism, expenditures for travel items (current US$)International tourism, expenditures (current US$)International tourism, expenditures (% of total imports)Merchandise trade (% of GDP)Import volume index (2000 = 100)Binding coverage, manufactured products (%)Bound rate, simple mean, manufactured products (%)Share of tariff lines with international peaks, manufactured products (%)Tariff rate, applied, simple mean, manufactured products (%)Tariff rate, most favored nation, simple mean, manufactured products (%)Share of tariff lines with specific rates, manufactured products (%)Tariff rate, applied, weighted mean, manufactured products (%)Tariff rate, most favored nation, weighted mean, manufactured products (%)Binding coverage, all products (%)Bound rate, simple mean, all products (%)Share of tariff lines with international peaks, all products (%)Tariff rate, applied, simple mean, all products (%)Tariff rate, most favored nation, simple mean, all products (%)Share of tariff lines with specific rates, all products (%)Tariff rate, applied, weighted mean, all products (%)Tariff rate, most favored nation, weighted mean, all products (%)Binding coverage, primary products (%)Bound rate, simple mean, primary products (%)Share of tariff lines with international peaks, primary products (%)Tariff rate, applied, simple mean, primary products (%)Tariff rate, most favored nation, simple mean, primary products (%)Share of tariff lines with specific rates, primary products (%)Tariff rate, applied, weighted mean, primary products (%)Tariff rate, most favored nation, weighted mean, primary products (%)Agricultural raw materials imports (% of merchandise imports)Food imports (% of merchandise imports)Fuel imports (% of merchandise imports)ICT goods imports (% total goods imports)Insurance and financial services (% of commercial service imports)

Page 197: POL Country MetaData en EXCEL

Manufactures imports (% of merchandise imports)Ores and metals imports (% of merchandise imports)Merchandise imports from economies in the Arab World (% of total merchandise imports)Merchandise imports (current US$)Merchandise imports from high-income economies (% of total merchandise imports)Merchandise imports from developing economies outside region (% of total merchandise imports)Merchandise imports from developing economies in East Asia & Pacific (% of total merchandise imports)Merchandise imports from developing economies in Europe & Central Asia (% of total merchandise imports)Merchandise imports from developing economies in Latin America & the Caribbean (% of total merchandise imports)Merchandise imports from developing economies in Middle East & North Africa (% of total merchandise imports)Merchandise imports from developing economies in South Asia (% of total merchandise imports)Merchandise imports from developing economies in Sub-Saharan Africa (% of total merchandise imports)Merchandise imports by the reporting economy, residual (% of total merchandise imports)Merchandise imports by the reporting economy (current US$)Merchandise imports from developing economies within region (% of total merchandise imports)Import value index (2000 = 100)Computer, communications and other services (% of commercial service imports)Commercial service imports (current US$)Transport services (% of commercial service imports)Travel services (% of commercial service imports)Net barter terms of trade index (2000 = 100)Export volume index (2000 = 100)Agricultural raw materials exports (% of merchandise exports)Food exports (% of merchandise exports)Fuel exports (% of merchandise exports)ICT goods exports (% of total goods exports)Insurance and financial services (% of commercial service exports)Manufactures exports (% of merchandise exports)Ores and metals exports (% of merchandise exports)Merchandise exports to economies in the Arab World (% of total merchandise exports)Merchandise exports (current US$)Merchandise exports to high-income economies (% of total merchandise exports)Merchandise exports to developing economies outside region (% of total merchandise exports)Merchandise exports to developing economies in East Asia & Pacific (% of total merchandise exports)Merchandise exports to developing economies in Europe & Central Asia (% of total merchandise exports)Merchandise exports to developing economies in Latin America & the Caribbean (% of total merchandise exports)Merchandise exports to developing economies in Middle East & North Africa (% of total merchandise exports)Merchandise exports to developing economies in South Asia (% of total merchandise exports)Merchandise exports to developing economies in Sub-Saharan Africa (% of total merchandise exports)Merchandise exports by the reporting economy, residual (% of total merchandise exports)Merchandise exports by the reporting economy (current US$)Merchandise exports to developing economies within region (% of total merchandise exports)Export value index (2000 = 100)Computer, communications and other services (% of commercial service exports)Commercial service exports (current US$)High-technology exports (current US$)High-technology exports (% of manufactured exports)Transport services (% of commercial service exports)Travel services (% of commercial service exports)Battle-related deaths (number of people)Internally displaced persons (number, high estimate)Internally displaced persons (number, low estimate)Intentional homicides, UN Crime Trends Survey (CTS) source (per 100,000 people)Intentional homicides, international public health sources (per 100,000 people)Intentional homicides, international police sources (per 100,000 people)Intentional homicides, government police sources (per 100,000 people)Presence of peace keepers (number of troops, police, and military observers in mandate)

Page 198: POL Country MetaData en EXCEL

SOURCE_NOTEAgricultural machinery refers to the number of wheel and crawler tractors (excluding garden tractors) in use in agriculture at the end of the calendar year specified or during the first quarter of the following year.Fertilizer consumption measures the quantity of plant nutrients used per unit of arable land. Fertilizer products cover nitrogenous, potash, and phosphate fertilizers (including ground rock phosphate). Traditional nutrients--animal and plant manures--are not included. For the purpose of data dissemination, FAO has aFertilizer consumption (100 grams per hectare of arable land) measures the quantity of plant nutrients used per unit of arable land. Fertilizer products cover nitrogenous, potash, and phosphate fertilizers (including ground rock phosphate). Traditional nutrients--animal and plant manures--are not included. For thAgricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardAgricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardArable land (in hectares) includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded.Arable land (hectares per person) includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excludArable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded.Land under cereal production refers to harvested area, although some countries report only sown or cultivated area. Cereals include wheat, rice, maize, barley, oats, rye, millet, sorghum, buckwheat, and mixed grains. Production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hPermanent cropland is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber.Land area below 5m is the percentage of total land where the elevation is 5 meters or less.Forest area is land under natural or planted stands of trees of at least 5 meters in situ, whether productive or not, and excludes tree stands in agricultural production systems (for example, in fruit plantations and agroforestry systems) and trees in urban parks and gardens.Forest area is land under natural or planted stands of trees of at least 5 meters in situ, whether productive or not, and excludes tree stands in agricultural production systems (for example, in fruit plantations and agroforestry systems) and trees in urban parks and gardens.Agricultural irrigated land refers to agricultural areas purposely provided with water, including land irrigated by controlled flooding.Average precipitation is the long-term average in depth (over space and time) of annual precipitation in the country. Precipitation is defined as any kind of water that falls from clouds as a liquid or a solid.Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.Agricultural machinery refers to the number of wheel and crawler tractors (excluding garden tractors) in use in agriculture at the end of the calendar year specified or during the first quarter of the following year. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas aProduction data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed, or silage and those used for grazing are excluded.Crop production index shows agricultural production for each year relative to the base period 1999-2001. It includes all crops except fodder crops. Regional and income group aggregates for the FAO's production indexes are calculated from the underlying values in international dollars, normalized to the base perioFood production index covers food crops that are considered edible and that contain nutrients. Coffee and tea are excluded because, although edible, they have no nutritive value.Livestock production index includes meat and milk from all sources, dairy products such as cheese, and eggs, honey, raw silk, wool, and hides and skins.Surface area is a country's total area, including areas under inland bodies of water and some coastal waterways.Cereal yield, measured as kilograms per hectare of harvested land, includes wheat, rice, maize, barley, oats, rye, millet, sorghum, buckwheat, and mixed grains. Production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed, or silage and thoseTrade in services is the sum of service exports and imports divided by the value of GDP, all in current U.S. dollars.Communications, computer, information, and other services (% of service imports, BoP) cover international telecommunications and postal and courier services; computer data; news-related service transactions between residents and nonresidents; construction services; royalties and license fees; miscellaneous busIncome payments refer to employee compensation paid to nonresident workers and investment income (payments on direct investment, portfolio investment, other investments). Income derived from the use of intangible assets is excluded from income and recorded under business services. Data are in current U.S. Imports of goods and services comprise all transactions between residents of a country and the rest of the world involving a change of ownership from nonresidents to residents of general merchandise, goods sent for processing and repairs, nonmonetary gold, and services. Data are in current U.S. dollars.Insurance and financial services (% of service imports, BoP) cover various types of insurance provided to nonresidents by resident insurance enterprises and vice versa, and financial intermediary and auxiliary services (except those of insurance enterprises and pension funds) exchanged between residents and noGoods imports refer to all movable goods (including nonmonetary gold) involved in a change of ownership from nonresidents to residents. The category includes goods previously included in services: goods received or sent for processing and their subsequent export or import in the form of processed goods, repairs onServices (previously nonfactor services) refer to economic output of intangible commodities that may be produced, transferred, and consumed at the same time. International transactions in services are defined by the IMF's Balance of Payments Manual (1993), but definitions may nevertheless vary among reporting Royalty and license fees are payments and receipts between residents and nonresidents for the authorized use of intangible, nonproduced, nonfinancial assets and proprietary rights (such as patents, copyrights, trademarks, industrial processes, and franchises) and for the use, through licensing agreements, of produceImports of goods, services and income is the sum of goods (merchandise) imports, imports of (nonfactor) services and income (factor) payments. Data are in current U.S. dollars.Transport (% of service imports, BoP) covers all transport services (sea, air, land, internal waterway, space, and pipeline) performed by residents of one economy for those of another and involving the carriage of passengers, the movement of goods (freight), rental of carriers with crew, and related support and auxilTravel (% of service imports, BoP) covers goods and services acquired from an economy by travelers for their own use during visits of less than one year in that economy for either business or personal purposes. Services imports refer to economic output of intangible commodities that may be produced, transferreForeign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capitCurrent transfers are recorded in the balance of payments whenever an economy provides or receives goods, services, income, or financial items without a quid pro quo. All transfers not considered to be capital are current. Data are in current U.S. dollars.Workers' remittances are current transfers by migrants who are employed or intend to remain employed for more than a year in another economy in which they are considered residents. Some developing countries classify workers' remittances as a factor income receipt (and thus as a component of GNI). The World Bank Workers' remittances and compensation of employees comprise current transfers by migrant workers and wages and salaries earned by nonresident workers. Remittances are classified as current private transfers from migrant workers resident in the host country for more than a year, irrespective of their immigration stCurrent account balance is the sum of net exports of goods, services, net income, and net current transfers. Data are in current U.S. dollars.Current account balance is the sum of net exports of goods, services, net income, and net current transfers.Net income refers to receipts and payments of employee compensation paid to nonresident workers and investment income (receipts and payments on direct investment, portfolio investment, other investments, and receipts on reserve assets). Income derived from the use of intangible assets is recorded under businesNet trade in goods and services is derived by offsetting imports of goods and services against exports of goods and services. Exports and imports of goods and services comprise all transactions involving a change of ownership of goods and services between residents of one country and the rest of the world. Data are iNet trade in goods is the difference between exports and imports of goods. The category includes goods previously included in services: goods received or sent for processing and their subsequent export or import in the form of processed goods, repairs on goods, and goods procured in ports by carriers. Trade in servicNet errors and omissions constitute a residual category needed to ensure that all debit and credit entries in the balance of payments statement sum to zero. In the International Financial Statistics presentation, this is equal to the difference between reserves and related items and the sum of the balances of the currentForeign direct investment is net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shoPrivate capital flows consist of net foreign direct investment and portfolio investment. Foreign direct investment is net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity caPrivate capital flows consist of net foreign direct investment and portfolio investment. Foreign direct investment is net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity caPortfolio investment excluding liabilities constituting foreign authorities' reserves covers transactions in equity securities and debt securities. Data are in current U.S. dollars.Changes in net reserves is the net change in a country's holdings of international reserves resulting from transactions on the current, capital, and financial accounts. These include changes in holdings of monetary gold, SDRs, foreign exchange assets, reserve position in the International Monetary Fund, and other claims Net current transfers are recorded in the balance of payments whenever an economy provides or receives goods, services, income, or financial items without a quid pro quo. All transfers not considered to be capital are current. Data are in current U.S. dollars.Net capital account includes government debt forgiveness, investment grants in cash or in kind by a government entity, and taxes on capital transfers. Also included are migrants' capital transfers and debt forgiveness and investment grants by nongovernmental entities. Data are in current U.S. dollars.Information and communication technology service exports include computer and communications services (telecommunications and postal and courier services) and information services (computer data and news-related service transactions).Information and communication technology service exports include computer and communications services (telecommunications and postal and courier services) and information services (computer data and news-related service transactions).Communications, computer, information, and other services (% of service exports, BoP) cover international telecommunications and postal and courier services; computer data; news-related service transactions between residents and nonresidents; construction services; royalties and license fees; miscellaneous busIncome receipts refer to employee compensation paid to resident workers working abroad and investment income (receipts on direct investment, portfolio investment, other investments, and receipts on reserve assets). Income derived from the use of intangible assets is excluded from income and recorded under busiExports of goods and services comprise all transactions between residents of a country and the rest of the world involving a change of ownership from residents to nonresidents of general merchandise, goods sent for processing and repairs, nonmonetary gold, and services. Data are in current U.S. dollars.

Page 199: POL Country MetaData en EXCEL

Insurance and financial services (% of service exports, BoP) cover various types of insurance provided to nonresidents by resident insurance enterprises and vice versa, and financial intermediary and auxiliary services (except those of insurance enterprises and pension funds) exchanged between residents and noGoods exports refer to all movable goods (including nonmonetary gold) involved in a change of ownership from residents to nonresidents. The category includes goods previously included in services: goods received or sent for processing and their subsequent export or import in the form of processed goods, repairs onServices (previously nonfactor services) refer to economic output of intangible commodities that may be produced, transferred, and consumed at the same time. International transactions in services are defined by the IMF's Balance of Payments Manual (1993), but definitions may nevertheless vary among reporting Royalty and license fees are payments and receipts between residents and nonresidents for the authorized use of intangible, nonproduced, nonfinancial assets and proprietary rights (such as patents, copyrights, trademarks, industrial processes, and franchises) and for the use, through licensing agreements, of produceExports of goods, services and income is the sum of goods (merchandise) exports, exports of (nonfactor) services and income (factor) receipts. Data are in current U.S. dollars.Transport (% of service exports, BoP) covers all transport services (sea, air, land, internal waterway, space, and pipeline) performed by residents of one economy for those of another and involving the carriage of passengers, movement of goods (freight), rental of carriers with crew, and related support and auxiliary Travel (% of service exports, BoP) covers goods and services acquired from an economy by travelers for their own use during visits of less than one year in that economy for either business or personal purposes. Service exports refer to economic output of intangible commodities that may be produced, transferredForeign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capitalForeign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capitPortfolio equity includes net inflows from equity securities other than those recorded as direct investment and including shares, stocks, depository receipts (American or global), and direct purchases of shares in local stock markets by foreign investors. Data are in current U.S. dollars.Current transfers (receipts) are recorded in the balance of payments whenever an economy receives goods, services, income, or financial items without a quid pro quo. All transfers not considered to be capital are current. Data are in current U.S. dollars.Workers' remittances are current transfers by migrants who are employed or intend to remain employed for more than a year in another economy in which they are considered residents. Some developing countries classify workers' remittances as a factor income receipt (and thus as a component of GNI). The World Bank aWorkers' remittances and compensation of employees comprise current transfers by migrant workers and wages and salaries earned by nonresident workers. Data are the sum of three items defined in the fifth edition of the IMF's Balance of Payments Manual: workers' remittances, compensation of employees, and migrantsWorkers' remittances and compensation of employees comprise current transfers by migrant workers and wages and salaries earned by nonresident workers. Data are the sum of three items defined in the fifth edition of the IMF's Balance of Payments Manual: workers' remittances, compensation of employees, and migrantFinancing via international capital markets is the sum of gross bond issuance, bank lending and new equity placement. Bond issuance is the notional amount of bond issuance by government, public and private sector borrowers in international capital markets. Bank lending is the committed amount of funds raised bS&P Global Equity Indices measure the U.S. dollar price change in the stock markets covered by the S&P/IFCI and S&P/Frontier BMI country indices.Market capitalization (also known as market value) is the share price times the number of shares outstanding. Listed domestic companies are the domestically incorporated companies listed on the country's stock exchanges at the end of the year. Listed companies does not include investment companies, mutual funds,Market capitalization (also known as market value) is the share price times the number of shares outstanding. Listed domestic companies are the domestically incorporated companies listed on the country's stock exchanges at the end of the year. Listed companies does not include investment companies, mutual fundListed domestic companies are the domestically incorporated companies listed on the country's stock exchanges at the end of the year. This indicator does not include investment companies, mutual funds, or other collective investment vehicles.Stocks traded refers to the total value of shares traded during the period.Stocks traded refers to the total value of shares traded during the period. This indicator complements the market capitalization ratio by showing whether market size is matched by trading.Turnover ratio is the total value of shares traded during the period divided by the average market capitalization for the period. Average market capitalization is calculated as the average of the end-of-period values for the current period and the previous period.Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loNet bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loTotal external debt is debt owed to nonresidents repayable in foreign currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private nonguaranteed long-term debt, use of IMF credit, and short-term debt. Short-term debt includes all debt having an original maturity of one year oTotal external debt stocks to gross national income. Total external debt is debt owed to nonresidents repayable in foreign currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private nonguaranteed long-term debt, use of IMF credit, and short-term debt. Short-term debt inUse of IMF credit denotes members’ drawings on the IMF other than those drawn against the country’s reserve tranche position. Use of IMF credit includes purchases and drawings under the Extended Credit Facility, Standby Credit Facility, Rapid Credit Facility, Stand-By Arrangements, Flexible Credit Line, and the ELong-term debt is debt that has an original or extended maturity of more than one year. It has three components: public, publicly guaranteed, and private nonguaranteed debt. Data are in current U.S. dollars.Private nonguaranteed external debt comprises long-term external obligations of private debtors that are not guaranteed for repayment by a public entity. Data are in current U.S. dollars.Public and publicly guaranteed debt comprises long-term external obligations of public debtors, including the national government, political subdivisions (or an agency of either), and autonomous public bodies, and external obligations of private debtors that are guaranteed for repayment by a public entity. Data are iShort-term external debt is defined as debt that has an original maturity of one year or less. Available data permit no distinction between public and private nonguaranteed short-term debt. Data are in current U.S. dollars.Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. Total reserves includes gold.Short-term external debt is defined as debt that has an original maturity of one year or less. Available data permit no distinction between public and private nonguaranteed short-term debt.Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. Total external debt is debt owed to nonresidents repayable in foreign currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private nonguaranteed long-

Page 200: POL Country MetaData en EXCEL

IBRD loans and IDA credits are public and publicly guaranteed debt extended by the World Bank Group. The International Bank for Reconstruction and Development (IBRD) lends at market rates. Credits from the International Development Association (IDA) are at concessional rates. Data are in current U.S. dollars.Present value of debt is the sum of short-term external debt plus the discounted sum of total debt service payments due on public, publicly guaranteed, and private nonguaranteed long-term external debt over the life of existing loans. Data are in current U.S. dollars.Present value of debt is the sum of short-term external debt plus the discounted sum of total debt service payments due on public, publicly guaranteed, and private nonguaranteed long-term external debt over the life of existing loans. The exports denominator is a three-year average.Present value of debt is the sum of short-term external debt plus the discounted sum of total debt service payments due on public, publicly guaranteed, and private nonguaranteed long-term external debt over the life of existing loans. The GNI denominator is a three-year average.Bilateral debt includes loans from governments and their agencies (including central banks), loans from autonomous bodies, and direct loans from official export credit agencies. Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. DaBonds are securities issued with a fixed rate of interest for a period of more than one year. They include net flows through cross-border public and publicly guaranteed and private nonguaranteed bond issues. Data are in current U.S. dollars.Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient

Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IMF is the International Monetary Fund, which provides concessional lending through its Extended Credit Facility, Standby Credit Facility, and Rapid Credit Facility. Data are in current U.S. Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IMF is the International Monetary Fund, which provides nonconcessional lending through the credit it provides to its members, mainly to meet balance of payments needs. Data are in currNet financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IBRD is the International Bank for Reconstruction and Development, the founding and largest member of the World Bank Group. Data are in current U.S. dollars.Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IDA is the International Development Association, the concessional loan window of the World Bank Group. Data are in current U.S. dollars.Public and publicly guaranteed multilateral loans include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization on behalf of a single donor government; these are classiNet financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. Others is a residual category in the World Bank's Debtor Reporting System. It includes such institutions as the Caribbean Development Fund, Council of Europe, European Development FuCommercial bank and other lending includes net commercial bank lending (public and publicly guaranteed and private nonguaranteed) and other private credits. Data are in current U.S. dollars.Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. Concessional financial flows cover disbursements made through concessional lending facilities. Regional development banks are the African Development Bank, in Tunis, Tunisia, which sNet financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. Nonconcessional financial flows cover all disbursements except those made through concessional lending facilities. Regional development banks are the African Development Bank, in Tun

Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient

Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipientNet official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development anNet official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development anNet official aid refers to aid flows (net of repayments) from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provNet official aid refers to aid flows (net of repayments) from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is proNet official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic developmenNet official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic developmeNet official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic developmeNet official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic developmeNet official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic developmeNet official development assistance (ODA) per capita consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economicNet official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic developmeTotal debt service is the sum of principal repayments and interest actually paid in foreign currency, goods, or services on long-term debt, interest paid on short-term debt, and repayments (repurchases and charges) to the IMF. Data are in current U.S. dollars.Total debt service is the sum of principal repayments and interest actually paid in foreign currency, goods, or services on long-term debt, interest paid on short-term debt, and repayments (repurchases and charges) to the IMF.Total debt service is the sum of principal repayments and interest actually paid in foreign currency, goods, or services on long-term debt, interest paid on short-term debt, and repayments (repurchases and charges) to the IMF.Debt service is the sum of principle repayments and interest actually paid in foreign currency, goods, or services. This series differs from the standard debt to exports series. It covers only long-term public and publicly guaranteed debt and repayments (repurchases and charges) to the IMF. Exports of goods and servPublic and publicly guaranteed debt service is the sum of principal repayments and interest actually paid in foreign currency, goods, or services on long-term obligations of public debtors and long-term private obligations guaranteed by a public entity. Data are in current U.S. dollars.Public and publicly guaranteed debt service is the sum of principal repayments and interest actually paid in foreign currency, goods, or services on long-term obligations of public debtors and long-term private obligations guaranteed by a public entity.Public and publicly guaranteed debt service is the sum of principal repayments and interest actually paid in foreign currency, goods, or services on long-term obligations of public debtors and long-term private obligations guaranteed by a public entity. Exports refer to exports of goods, services, and income. WorkPublic and publicly guaranteed multilateral loans include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization on behalf of a single donor government; these are classifMultilateral debt service is the repayment of principal and interest to the World Bank, regional development banks, and other multilateral agencies. public and publicly guaranteed debt service is the sum of principal repayments and interest actually paid in foreign currency, goods, or services on long-term obligationsAgriculture value added per worker is a measure of agricultural productivity. Value added in agriculture measures the output of the agricultural sector (ISIC divisions 1-5) less the value of intermediate inputs. Agriculture comprises value added from forestry, hunting, and fishing as well as cultivation of crops and livesIndustry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: stone, ceramics, and glass (36). Emissions of organic water pollutants are measured by biochemical oxyIndustry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: chemicals (35). Emissions of organic water pollutants are measured by biochemical oxygen demand, whichIndustry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: food and beverages (31). Emissions of organic water pollutants are measured by biochemical oxygen demIndustry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: primary metals (ISIC division 37). Emissions of organic water pollutants are measured by biochemical oIndustry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: other (38 and 39). Emissions of organic water pollutants are measured by biochemical oxygen demand, whIndustry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: paper and pulp (34). Emissions of organic water pollutants are measured by biochemical oxygen demand,Emissions of organic water pollutants are measured by biochemical oxygen demand, which refers to the amount of oxygen that bacteria in water will consume in breaking down waste. This is a standard water-treatment test for the presence of organic pollutants.Industry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: textiles (32). Emissions of organic water pollutants are measured by biochemical oxygen demand, which rIndustry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: wood (33). Emissions of organic water pollutants are measured by biochemical oxygen demand, which ref

Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations and include the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), United Nations Regular Programme for Technical Assistance (UNTA), International Atomic Energy Agency (IAEA), International Fund for Agricul tural Development (IFAD), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Development Programme (UNDP), United Nations Economic Commission for Europe (UNECE), United Nations Population Fund (UNPD), United Nations Refugee Agency (UNHCR), World Food Programme (WFP), and World Health Organization (WHO). Data are in current U.S. dollars.

Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations and include the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), United Nations Regular Programme for Technical Assistance (UNTA), International Atomic Energy Agency (IAEA), International Fund for Agricul tural Development (IFAD), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Development Programme (UNDP), United Nations Economic Commission for Europe (UNECE), United Nations Population Fund (UNPD), United Nations Refugee Agency (UNHCR), World Food Programme (WFP), and World Health Organization (WHO). Data are in current U.S. dollars.Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations and include the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), United Nations Regular Programme for Technical Assistance (UNTA), International Atomic Energy Agency (IAEA), International Fund for Agricul tural Development (IFAD), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Development Programme (UNDP), United Nations Economic Commission for Europe (UNECE), United Nations Population Fund (UNPD), United Nations Refugee Agency (UNHCR), World Food Programme (WFP), and World Health Organization (WHO). Data are in current U.S. dollars.Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations and include the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), United Nations Regular Programme for Technical Assistance (UNTA), International Atomic Energy Agency (IAEA), International Fund for Agricul tural Development (IFAD), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Development Programme (UNDP), United Nations Economic Commission for Europe (UNECE), United Nations Population Fund (UNPD), United Nations Refugee Agency (UNHCR), World Food Programme (WFP), and World Health Organization (WHO). Data are in current U.S. dollars.Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations and include the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), United Nations Regular Programme for Technical Assistance (UNTA), International Atomic Energy Agency (IAEA), International Fund for Agricul tural Development (IFAD), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Development Programme (UNDP), United Nations Economic Commission for Europe (UNECE), United Nations Population Fund (UNPD), United Nations Refugee Agency (UNHCR), World Food Programme (WFP), and World Health Organization (WHO). Data are in current U.S. dollars.

Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations and include the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), United Nations Regular Programme for Technical Assistance (UNTA), International Atomic Energy Agency (IAEA), International Fund for Agricul tural Development (IFAD), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Development Programme (UNDP), United Nations Economic Commission for Europe (UNECE), United Nations Population Fund (UNPD), United Nations Refugee Agency (UNHCR), World Food Programme (WFP), and World Health Organization (WHO). Data are in current U.S. dollars.Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations and include the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), United Nations Regular Programme for Technical Assistance (UNTA), International Atomic Energy Agency (IAEA), International Fund for Agricul tural Development (IFAD), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Development Programme (UNDP), United Nations Economic Commission for Europe (UNECE), United Nations Population Fund (UNPD), United Nations Refugee Agency (UNHCR), World Food Programme (WFP), and World Health Organization (WHO). Data are in current U.S. dollars.Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations and include the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), United Nations Regular Programme for Technical Assistance (UNTA), International Atomic Energy Agency (IAEA), International Fund for Agricul tural Development (IFAD), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Development Programme (UNDP), United Nations Economic Commission for Europe (UNECE), United Nations Population Fund (UNPD), United Nations Refugee Agency (UNHCR), World Food Programme (WFP), and World Health Organization (WHO). Data are in current U.S. dollars.Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations and include the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), United Nations Regular Programme for Technical Assistance (UNTA), International Atomic Energy Agency (IAEA), International Fund for Agricul tural Development (IFAD), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Development Programme (UNDP), United Nations Economic Commission for Europe (UNECE), United Nations Population Fund (UNPD), United Nations Refugee Agency (UNHCR), World Food Programme (WFP), and World Health Organization (WHO). Data are in current U.S. dollars.

Page 201: POL Country MetaData en EXCEL

Emissions per worker are total emissions of organic water pollutants divided by the number of industrial workers. Organic water pollutants are measured by biochemical oxygen demand, which refers to the amount of oxygen that bacteria in water will consume in breaking down waste. This is a standard water-treatmeEnergy production refers to forms of primary energy--petroleum (crude oil, natural gas liquids, and oil from nonconventional sources), natural gas, solid fuels (coal, lignite, and other derived fuels), and combustible renewables and waste--and primary electricity, all converted into oil equivalents.Access to electricity is the percentage of population with access to electricity. Electrification data are collected from industry, national surveys and international sources.Sources of electricity refer to the inputs used to generate electricity. Coal refers to all coal and brown coal, both primary (including hard coal and lignite-brown coal) and derived fuels (including patent fuel, coke oven coke, gas coke, coke oven gas, and blast furnace gas). Peat is also included in this category.Sources of electricity refer to the inputs used to generate electricity. Coal refers to all coal and brown coal, both primary (including hard coal and lignite-brown coal) and derived fuels (including patent fuel, coke oven coke, gas coke, coke oven gas, and blast furnace gas). Peat is also included in this category.Sources of electricity refer to the inputs used to generate electricity. Oil refers to crude oil and petroleum products. Gas refers to natural gas but excludes natural gas liquids. Coal refers to all coal and brown coal, both primary (including hard coal and lignite-brown coal) and derived fuels (including patent fuel, coke Sources of electricity refer to the inputs used to generate electricity. Hydropower refers to electricity produced by hydroelectric power plants.Sources of electricity refer to the inputs used to generate electricity. Hydropower refers to electricity produced by hydroelectric power plants.Electric power transmission and distribution losses include losses in transmission between sources of supply and points of distribution and in the distribution to consumers, including pilferage.Electric power transmission and distribution losses include losses in transmission between sources of supply and points of distribution and in the distribution to consumers, including pilferage.Sources of electricity refer to the inputs used to generate electricity. Gas refers to natural gas but excludes natural gas liquids.Sources of electricity refer to the inputs used to generate electricity. Gas refers to natural gas but excludes natural gas liquids.Sources of electricity refer to the inputs used to generate electricity. Nuclear power refers to electricity produced by nuclear power plants.Sources of electricity refer to the inputs used to generate electricity. Nuclear power refers to electricity produced by nuclear power plants.Sources of electricity refer to the inputs used to generate electricity. Oil refers to crude oil and petroleum products.Sources of electricity refer to the inputs used to generate electricity. Oil refers to crude oil and petroleum products.Electricity production is measured at the terminals of all alternator sets in a station. In addition to hydropower, coal, oil, gas, and nuclear power generation, it covers generation by geothermal, solar, wind, and tide and wave energy, as well as that from combustible renewables and waste. Production includes the outpElectricity production from renewable sources includes hydropower, geothermal, solar, tides, wind, biomass, and biofuels.Electricity production from renewable sources, excluding hydroelectric, includes geothermal, solar, tides, wind, biomass, and biofuels.Electricity production from renewable sources, excluding hydroelectric, includes geothermal, solar, tides, wind, biomass, and biofuels.GDP per unit of energy use is the PPP GDP per kilogram of oil equivalent of energy use. PPP GDP is gross domestic product converted to current international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States.GDP per unit of energy use is the PPP GDP per kilogram of oil equivalent of energy use. PPP GDP is gross domestic product converted to 2005 constant international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States.Net energy imports are estimated as energy use less production, both measured in oil equivalents. A negative value indicates that the country is a net exporter. Energy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock chaClean energy is noncarbohydrate energy that does not produce carbon dioxide when generated. It includes hydropower and nuclear, geothermal, and solar power, among others.Fossil fuel comprises coal, oil, petroleum, and natural gas products.Energy use per PPP GDP is the kilogram of oil equivalent of energy use per constant PPP GDP. Energy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock changes, minus exports and fuels supplied to ships and aircraft engageEnergy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock changes, minus exports and fuels supplied to ships and aircraft engaged in international transport.Combustible renewables and waste comprise solid biomass, liquid biomass, biogas, industrial waste, and municipal waste.Combustible renewables and waste comprise solid biomass, liquid biomass, biogas, industrial waste, and municipal waste, measured as a percentage of total energy use.Electric power consumption measures the production of power plants and combined heat and power plants less transmission, distribution, and transformation losses and own use by heat and power plants.Electric power consumption measures the production of power plants and combined heat and power plants less transmission, distribution, and transformation losses and own use by heat and power plants.Energy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock changes, minus exports and fuels supplied to ships and aircraft engaged in international transport.Carbon dioxide emissions from solid fuel consumption refer mainly to emissions from use of coal as an energy source.Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of natural gas as an energy source.Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of natural gas as an energy source.Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of petroleum-derived fuels as an energy source.Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of petroleum-derived fuels as an energy source.Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.Carbon dioxide emissions from solid fuel consumption refer mainly to emissions from use of coal as an energy source.Carbon dioxide emissions from solid fuel consumption refer mainly to emissions from use of coal as an energy source.Other greenhouse gas emissions are by-product emissions of hydrofluorocarbons, perfluorocarbons, and sulfur hexafluoride.Hydrofluorocarbons, used as a replacement for chlorofluorocarbons, are used mainly in refrigeration and semiconductor manufacturing.Agricultural methane emissions are emissions from animals, animal waste, rice production, agricultural waste burning (nonenergy, on-site), and savannah burning.Agricultural methane emissions are emissions from animals, animal waste, rice production, agricultural waste burning (nonenergy, on-site), and savannah burning.Methane emissions from energy processes are emissions from the production, handling, transmission, and combustion of fossil fuels and biofuels.Methane emissions from energy processes are emissions from the production, handling, transmission, and combustion of fossil fuels and biofuels.Methane emissions are those stemming from human activities such as agriculture and from industrial methane production.Agricultural nitrous oxide emissions are emissions produced through fertilizer use (synthetic and animal manure), animal waste management, agricultural waste burning (nonenergy, on-site), and savannah burning.Agricultural nitrous oxide emissions are emissions produced through fertilizer use (synthetic and animal manure), animal waste management, agricultural waste burning (nonenergy, on-site), and savannah burning.Nitrous oxide emissions from energy processes are emissions produced by the combustion of fossil fuels and biofuels.Industrial nitrous oxide emissions are emissions produced during the manufacturing of adipic acid and nitric acid. Nitrous oxide emissions from energy processes are emissions produced by the combustion of fossil fuels and biofuels.Industrial nitrous oxide emissions are emissions produced during the manufacturing of adipic acid and nitric acid.Nitrous oxide emissions are emissions from agricultural biomass burning, industrial activities, and livestock management.

Page 202: POL Country MetaData en EXCEL

Perfluorocarbons, used as a replacement for chlorofluorocarbons in manufacturing semiconductors, are a byproduct of aluminum smelting and uranium enrichment.Particulate matter concentrations refer to fine suspended particulates less than 10 microns in diameter (PM10) that are capable of penetrating deep into the respiratory tract and causing significant health damage. Data for countries and aggregates for regions and income groups are urban-population weighted PM10 lSulfur hexafluoride is used largely to insulate high-voltage electric power equipment.Birds are listed for countries included within their breeding or wintering ranges. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known.Disaster risk reduction progress score is an average of self-assessment scores, ranging from 1 to 5, submitted by countries under Priority 1 of the Hyogo Framework National Progress Reports. The Hyogo Framework is a global blueprint for disaster risk reduction efforts that was adopted by 168 countries in 2005. AssessGHG net emissions/removals by LUCF refers to changes in atmospheric levels of all greenhouse gases attributable to forest and land-use change activities, including but not limited to (1) emissions and removals of CO2 from decreases or increases in biomass stocks due to forest management, logging, fuelwood colDroughts, floods and extreme temperatures is the annual average percentage of the population that is affected by natural disasters classified as either droughts, floods, or extreme temperature events. A drought is an extended period of time characterized by a deficiency in a region's water supply that is the result oCO2 emissions from residential buildings and commercial and public services contains all emissions from fuel combustion in households. This corresponds to IPCC Source/Sink Category 1 A 4 b. Commercial and public services includes emissions from all activities of ISIC Divisions 41, 50-52, 55, 63-67, 70-75, 80, 85, 90CO2 emissions from electricity and heat production is the sum of three IEA categories of CO2 emissions: (1) Main Activity Producer Electricity and Heat which contains the sum of emissions from main activity producer electricity generation, combined heat and power generation and heat plants. Main activity producers CO2 emissions from manufacturing industries and construction contains the emissions from combustion of fuels in industry. The IPCC Source/Sink Category 1 A 2 includes these emissions. However, in the 1996 IPCC Guidelines, the IPCC category also includes emissions from industry autoproducers that generate electriCO2 emissions from other sectors, less residential buildings and commercial and public services, contains the emissions from commercial/institutional activities, residential, agriculture/forestry, fishing and other emissions not specified elsewhere that are included in the IPCC Source/Sink Categories 1 A 4 and 1 A 5CO2 emissions from transport contains emissions from the combustion of fuel for all transport activity, regardless of the sector, except for international marine bunkers and international aviation. This includes domestic aviation, domestic navigation, road, rail and pipeline transport, and corresponds to IPCC SourceFish species are based on Froese, R. and Pauly, D. (eds). 2008. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known.Higher plants are native vascular plant species. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known.Mammal species are mammals excluding whales and porpoises. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known.Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part oPopulation below 5m is the percentage of the total population living in areas where the elevation is 5 meters or less.Population in largest city is the urban population living in the country's largest metropolitan area.Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.Population in urban agglomerations of more than one million is the country's population living in metropolitan areas that in 2000 had a population of more than one million people.Population in urban agglomerations of more than one million is the percentage of a country's population living in metropolitan areas that in 2000 had a population of more than one million people.Fuel prices refer to the pump prices of the most widely sold grade of diesel fuel. Prices have been converted from the local currency to U.S. dollars.Fuel prices refer to the pump prices of the most widely sold grade of gasoline. Prices have been converted from the local currency to U.S. dollars.GEF benefits index for biodiversity is a composite index of relative biodiversity potential for each country based on the species represented in each country, their threat status, and the diversity of habitat types in each country. The index has been normalized so that values run from 0 (no biodiversity potential) to 10Water productivity is calculated as GDP in constant prices divided by annual total water withdrawal.Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenAnnual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrAnnual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenAnnual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenAnnual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenRenewable internal freshwater resources flows refer to internal renewable resources (internal river flows and groundwater from rainfall) in the country.Renewable internal freshwater resources flows refer to internal renewable resources (internal river flows and groundwater from rainfall) in the country. Renewable internal freshwater resources per capita are calculated using the World Bank's population estimates.Nationally protected areas are totally or partially protected areas of at least 1,000 hectares that are designated as scientific reserves with limited public access, national parks, natural monuments, nature reserves or wildlife sanctuaries, protected landscapes, and areas managed mainly for sustainable use. Marine areas,Marine protected areas are areas of intertidal or subtidal terrain--and overlying water and associated flora and fauna and historical and cultural features--that have been reserved by law or other effective means to protect part or all of the enclosed environment.Loan accounts at commercial banks include loans from banks to individuals, businesses, and others, including home mortgages, consumer loans, business loans, trade loans, student loans, emergency loans, agricultural loans, and the like. Commercial banks are banks with a full banking license. In some countries, tCooperatives, credit unions, and mutuals are financial institutions that are owned and controlled by their members (customers), regardless of whether they do business exclusively with their members or with members and nonmembers.Microfinance institutions are institutions whose primary business model is to lend to (and possibly take deposits from) the poor, often using specialized methodologies such as group lending. The data collected using this institutional classification necessarily understate the scale of microfinance because many banks, cSpecialized state-owned financial institutions are extensions of the government whose main purpose is to lend support to economic development and/or to provide savings, payment, and deposit services to the public. They include postal banks, government savings banks, SME lending facilities, agriculture banks, Bank nonperforming loans to total gross loans are the value of nonperforming loans divided by the total value of the loan portfolio (including nonperforming loans before the deduction of specific loan-loss provisions). The loan amount recorded as nonperforming should be the gross value of the loan as recorded on Automated teller machines are computerized telecommunications devices that provide clients of a financial institution with access to financial transactions in a public place.Commercial bank branches are retail locations offering a wide array of face-to-face and automated financial services. Commercial banks are banks with a full banking license. In some countries, the term "universal banks" or other terms may be used. Majority government- and state-owned banks are included in this Cooperatives, credit unions, and mutuals are financial institutions that are owned and controlled by their members (customers), regardless of whether they do business exclusively with their members or with members and nonmembers.Microfinance institutions are institutions whose primary business model is to lend to (and possibly take deposits from) the poor, often using specialized methodologies such as group lending. The data collected using this institutional classification necessarily understate the scale of microfinance because many banks, cSpecialized state-owned financial institutions are extensions of the government whose main purpose is to lend support to economic development and/or to provide savings, payment, and deposit services to the public. They include postal banks, government savings banks, SME lending facilities, agriculture banks, Bank capital to assets is the ratio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature iDeposit accounts are accounts at commercial banks that allow money to be deposited and withdrawn by the account holder. The major types of deposits are checking accounts, savings accounts, and time deposits. Commercial banks are banks with a full banking license. In some countries, the term "universal banks"Cooperatives, credit unions, and mutuals are financial institutions that are owned and controlled by their members (customers), regardless of whether they do business exclusively with their members or with members and nonmembers.Microfinance institutions are institutions whose primary business model is to lend to (and possibly take deposits from) the poor, often using specialized methodologies such as group lending. The data collected using this institutional classification necessarily understate the scale of microfinance because many banks, cSpecialized state-owned financial institutions are extensions of the government whose main purpose is to lend support to economic development and/or to provide savings, payment, and deposit services to the public. They include postal banks, government savings banks, SME lending facilities, agriculture banks, Point-of-sale terminals are the equipment used to manage the selling process by a salesperson-accessible interface in the location where a transaction takes place.Ratio of bank liquid reserves to bank assets is the ratio of domestic currency holdings and deposits with the monetary authorities to claims on other governments, nonfinancial public enterprises, the private sector, and other banking institutions.Total reserves comprise holdings of monetary gold, special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities. The gold component of these reserves is valued at year-end (December 31) London prices. Data are in current U.S. dollarsInternational reserves to total external debt stocks.Total reserves comprise holdings of monetary gold, special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities. The gold component of these reserves is valued at year-end (December 31) London prices. This item shows reserves exprTotal reserves minus gold comprise special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities. Gold holdings are excluded. Data are in current U.S. dollars.Claims on central government (IFS line 32AN..ZK) include loans to central government institutions net of deposits.Claims on other sectors of the domestic economy (IFS line 32S..ZK) include gross credit from the financial system to households, nonprofit institutions serving households, nonfinancial corporations, state and local governments, and social security funds.

Page 203: POL Country MetaData en EXCEL

Net domestic credit is the sum of net credit to the nonfinancial public sector, credit to the private sector, and other accounts. Data are in current local currency.Net foreign assets are the sum of foreign assets held by monetary authorities and deposit money banks, less their foreign liabilities. Data are in current local currency.Claims on private sector (IFS line 32D..ZK or 32D..ZF) include gross credit from the financial system to individuals, enterprises, nonfinancial public entities not included under net domestic credit, and financial institutions not included elsewhere.Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit aBroad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit aBroad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit aBroad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit aMoney is the sum of currency outside banks and demand deposits other than those of central government. This series, frequently referred to as M1 is a narrower definition of money than M2. Data are in current local currency.Money and quasi money comprise the sum of currency outside banks, demand deposits other than those of the central government, and the time, savings, and foreign currency deposits of resident sectors other than the central government. This definition of money supply is frequently called M2; it corresponds to lines Money and quasi money comprise the sum of currency outside banks, demand deposits other than those of the central government, and the time, savings, and foreign currency deposits of resident sectors other than the central government. This definition of money supply is frequently called M2; it corresponds to linesMoney and quasi money comprise the sum of currency outside banks, demand deposits other than those of the central government, and the time, savings, and foreign currency deposits of resident sectors other than the central government. This definition is frequently called M2; it corresponds to lines 34 and 35 in tAverage annual growth rate in money and quasi money. Money and quasi money comprise the sum of currency outside banks, demand deposits other than those of the central government, and the time, savings, and foreign currency deposits of resident sectors other than the central government. This definition is frequentQuasi money refers to time, savings, and foreign currency deposits of resident sectors other than the central government.Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.Wholesale price index refers to a mix of agricultural and industrial goods at various stages of production and distribution, including import duties. The Laspeyres formula is generally used.Deposit interest rate is the rate paid by commercial or similar banks for demand, time, or savings deposits.Lending interest rate is the rate charged by banks on loans to prime customers.Interest rate spread is the interest rate charged by banks on loans to prime customers minus the interest rate paid by commercial or similar banks for demand, time, or savings deposits.Real interest rate is the lending interest rate adjusted for inflation as measured by the GDP deflator.Risk premium on lending is the interest rate charged by banks on loans to prime private sector customers minus the "risk free" treasury bill interest rate at which short-term government securities are issued or traded in the market. In some countries this spread may be negative, indicating that the market considers iClaims on central government (IFS line 52AN or 32AN) include loans to central government institutions net of deposits.Claims on other sectors of the domestic economy (IFS line 52S or 32S) include gross credit from the financial system to households, nonprofit institutions serving households, nonfinancial corporations, state and local governments, and social security funds.Domestic credit provided by the banking sector includes all credit to various sectors on a gross basis, with the exception of credit to the central government, which is net. The banking sector includes monetary authorities and deposit money banks, as well as other banking institutions where data are available (includingDomestic credit to private sector refers to financial resources provided to the private sector, such as through loans, purchases of nonequity securities, and trade credits and other accounts receivable, that establish a claim for repayment. For some countries these claims include credit to public enterprises.Liquid liabilities are also known as M3. They are the sum of currency and deposits in the central bank (M0), plus transferable deposits and electronic currency (M1), plus time and savings deposits, foreign currency transferable deposits, certificates of deposit, and securities repurchase agreements (M2), plus traveleQuasi-liquid liabilities are the sum of currency and deposits in the central bank (M0), plus time and savings deposits, foreign currency transferable deposits, certificates of deposit, and securities repurchase agreements, plus travelers checks, foreign currency time deposits, commercial paper, and shares of mutual Expenditures for research and development are current and capital expenditures (both public and private) on creative work undertaken systematically to increase knowledge, including knowledge of humanity, culture, and society, and the use of knowledge for new applications. R&D covers basic research, applied Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lendingCash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lendingDebt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of eDebt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of eNet incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates financial resources arising from a budget surplus. The net incurrence ofNet incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates financial resources arising from a budget surplus. The net incurrence ofNet incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates financial resources arising from a budget surplus. The net incurrence ofNet incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates financial resources arising from a budget surplus. The net incurrence of

Social contributions include social security contributions by employees, employers, and self-employed individuals, and other contributions whose source cannot be determined. They also include actual or imputed contributions to social insurance schemes operated by governments.Social contributions include social security contributions by employees, employers, and self-employed individuals, and other contributions whose source cannot be determined. They also include actual or imputed contributions to social insurance schemes operated by governments.Revenue is cash receipts from taxes, social contributions, and other revenues such as fines, fees, rent, and income from property or sales. Grants are also considered as revenue but are excluded here.Revenue is cash receipts from taxes, social contributions, and other revenues such as fines, fees, rent, and income from property or sales. Grants are also considered as revenue but are excluded here.Taxes on exports are all levies on goods being transported out of the country or services being delivered to nonresidents by residents. Rebates on exported goods that are repayments of previously paid general consumption taxes, excise taxes, or import duties are deducted from the gross amounts receivable from tTaxes on exports are all levies on goods being transported out of the country or services being delivered to nonresidents by residents. Rebates on exported goods that are repayments of previously paid general consumption taxes, excise taxes, or import duties are deducted from the gross amounts receivable from tTaxes on goods and services include general sales and turnover or value added taxes, selective excises on goods, selective taxes on services, taxes on the use of goods or property, taxes on extraction and production of minerals, and profits of fiscal monopolies.Taxes on goods and services include general sales and turnover or value added taxes, selective excises on goods, selective taxes on services, taxes on the use of goods or property, taxes on extraction and production of minerals, and profits of fiscal monopolies.Taxes on goods and services include general sales and turnover or value added taxes, selective excises on goods, selective taxes on services, taxes on the use of goods or property, taxes on extraction and production of minerals, and profits of fiscal monopolies.Customs and other import duties are all levies collected on goods that are entering the country or services delivered by nonresidents to residents. They include levies imposed for revenue or protection purposes and determined on a specific or ad valorem basis as long as they are restricted to imported goods or serviCustoms and other import duties are all levies collected on goods that are entering the country or services delivered by nonresidents to residents. They include levies imposed for revenue or protection purposes and determined on a specific or ad valorem basis as long as they are restricted to imported goods or serviTaxes on international trade include import duties, export duties, profits of export or import monopolies, exchange profits, and exchange taxes.Taxes on international trade include import duties, export duties, profits of export or import monopolies, exchange profits, and exchange taxes.Other taxes include employer payroll or labor taxes, taxes on property, and taxes not allocable to other categories, such as penalties for late payment or nonpayment of taxes.Other taxes include employer payroll or labor taxes, taxes on property, and taxes not allocable to other categories, such as penalties for late payment or nonpayment of taxes.Tax revenue refers to compulsory transfers to the central government for public purposes. Certain compulsory transfers such as fines, penalties, and most social security contributions are excluded. Refunds and corrections of erroneously collected tax revenue are treated as negative revenue.Tax revenue refers to compulsory transfers to the central government for public purposes. Certain compulsory transfers such as fines, penalties, and most social security contributions are excluded. Refunds and corrections of erroneously collected tax revenue are treated as negative revenue.Taxes on income, profits, and capital gains are levied on the actual or presumptive net income of individuals, on the profits of corporations and enterprises, and on capital gains, whether realized or not, on land, securities, and other assets. Intragovernmental payments are eliminated in consolidation.Taxes on income, profits, and capital gains are levied on the actual or presumptive net income of individuals, on the profits of corporations and enterprises, and on capital gains, whether realized or not, on land, securities, and other assets. Intragovernmental payments are eliminated in consolidation.

Grants and other revenue include grants from other foreign governments, international organizations, and other government units; interest; dividends; rent; requited, nonrepayable receipts for public purposes (such as fines, administrative fees, and entrepreneurial income from government owner ship of property); and voluntary, unrequited, nonrepayable receipts other than grants.Grants and other revenue include grants from other foreign governments, international organizations, and other government units; interest; dividends; rent; requited, nonrepayable receipts for public purposes (such as fines, administrative fees, and entrepreneurial income from government owner ship of property); and voluntary, unrequited, nonrepayable receipts other than grants.

Page 204: POL Country MetaData en EXCEL

Taxes on income, profits, and capital gains are levied on the actual or presumptive net income of individuals, on the profits of corporations and enterprises, and on capital gains, whether realized or not, on land, securities, and other assets. Intragovernmental payments are eliminated in consolidation.Compensation of employees consists of all payments in cash, as well as in kind (such as food and housing), to employees in return for services rendered, and government contributions to social insurance schemes such as social security and pensions that provide benefits to employees.Compensation of employees consists of all payments in cash, as well as in kind (such as food and housing), to employees in return for services rendered, and government contributions to social insurance schemes such as social security and pensions that provide benefits to employees.Goods and services include all government payments in exchange for goods and services used for the production of market and nonmarket goods and services. Own-account capital formation is excluded.Goods and services include all government payments in exchange for goods and services used for the production of market and nonmarket goods and services. Own-account capital formation is excluded.Interest payments include interest payments on government debt--including long-term bonds, long-term loans, and other debt instruments--to domestic and foreign residents.Interest payments include interest payments on government debt--including long-term bonds, long-term loans, and other debt instruments--to domestic and foreign residents.Interest payments include interest payments on government debt--including long-term bonds, long-term loans, and other debt instruments--to domestic and foreign residents.Other expense is spending on dividends, rent, and other miscellaneous expenses, including provision for consumption of fixed capital.Other expense is spending on dividends, rent, and other miscellaneous expenses, including provision for consumption of fixed capital.Expense is cash payments for operating activities of the government in providing goods and services. It includes compensation of employees (such as wages and salaries), interest and subsidies, grants, social benefits, and other expenses such as rent and dividends.Expense is cash payments for operating activities of the government in providing goods and services. It includes compensation of employees (such as wages and salaries), interest and subsidies, grants, social benefits, and other expenses such as rent and dividends.Subsidies, grants, and other social benefits include all unrequited, nonrepayable transfers on current account to private and public enterprises; grants to foreign governments, international organizations, and other government units; and social security, social assistance benefits, and employer social benefits in cash aSubsidies, grants, and other social benefits include all unrequited, nonrepayable transfers on current account to private and public enterprises; grants to foreign governments, international organizations, and other government units; and social security, social assistance benefits, and employer social benefits in cash aDisclosure index measures the extent to which investors are protected through disclosure of ownership and financial information. The index ranges from 0 to 10, with higher values indicating more disclosure.Ease of doing business index ranks economies from 1 to 183, with first place being the best. A high ranking means that the regulatory environment is conducive to business operation. The index ranks the simple average of the country's percentile rankings on 10 topics covered in the World Bank's Doing Business. The New businesses registered are the number of new limited liability corporations registered in the calendar year.New businesses registered are the number of new limited liability corporations registered in the calendar year.Credit depth of information index measures rules affecting the scope, accessibility, and quality of credit information available through public or private credit registries. The index ranges from 0 to 6, with higher values indicating the availability of more credit information, from either a public registry or a private bureauPrivate credit bureau coverage reports the number of individuals or firms listed by a private credit bureau with current information on repayment history, unpaid debts, or credit outstanding. The number is expressed as a percentage of the adult population.Public credit registry coverage reports the number of individuals and firms listed in a public credit registry with current information on repayment history, unpaid debts, or credit outstanding. The number is expressed as a percentage of the adult population.Average time to clear exports through customs is the average number of days to clear direct exports through customs.Delay in obtaining an electrical connection is the average wait, in days, experienced to obtain an electrical connection from the day an establishment applies for it to the day it receives the service.Power outages are the average number of power outages that establishments experience in a typical month.Firing cost is the cost of advanced notice requirements, severance payments, and penalties due when terminating a redundant worker, expressed in weekly wages. One month is recorded as 4 1/3 weeks.Cost measures the fees levied on a 20-foot container in U.S. dollars. All the fees associated with completing the procedures to export or import the goods are included. These include costs for documents, administrative fees for customs clearance and technical control, customs broker fees, terminal handling charges aAll documents required per shipment to export goods are recorded. It is assumed that the contract has already been agreed upon and signed by both parties. Documents required for clearance by government ministries, customs authorities, port and container terminal authorities, health and technical control agencies Time is recorded in calendar days. The time calculation for a procedure starts from the moment it is initiated and runs until it is completed. If a procedure can be accelerated for an additional cost, the fastest legal procedure is chosen. It is assumed that neither the exporter nor the importer wastes time and tFirms using banks to finance investment are the percentage of firms using banks to finance investments.Informal payments to public officials are the percentage of firms expected to make informal payments to public officials to "get things done" with regard to customs, taxes, licenses, regulations, services, and the like.Losses due to theft, robbery, vandalism, and arson are the estimated losses from those causes that occurred on establishments' premises as a percentage of annual sales.Time required to obtain operating license is the average wait to obtain an operating license from the day the establishment applied for it to the day it was granted.Firms with female participation in ownership are the percentage of firms with a woman among the principal owners.Firms formally registered when operations started are the percentage of firms formally registered when they started operations in the country.Firms that do not report all sales for tax purposes are the percentage of firms that expressed that a typical firm reports less than 100 percent of sales for tax purposes; such firms are termed "informal firms."ISO certification ownership is the percentage of firms that have earned a quality certification recognized by the International Organization for Standardization (ISO).Value lost due to electrical outages is the percentage of sales lost due to power outages.Firms offering formal training are the percentage of firms offering formal training programs for their permanent, full-time employees.Time dealing with officials is the percentage of management time in a given week spent on requirements imposed by government regulations (taxes, customs, labor regulations, licensing and registration).Cost measures the fees levied on a 20-foot container in U.S. dollars. All the fees associated with completing the procedures to export or import the goods are included. These include costs for documents, administrative fees for customs clearance and technical control, customs broker fees, terminal handling charges anAll documents required per shipment to import goods are recorded. It is assumed that the contract has already been agreed upon and signed by both parties. Documents required for clearance by government ministries, customs authorities, port and container terminal authorities, health and technical control agencies Time is recorded in calendar days. The time calculation for a procedure starts from the moment it is initiated and runs until it is completed. If a procedure can be accelerated for an additional cost, the fastest legal procedure is chosen. It is assumed that neither the exporter nor the importer wastes time and tTime to resolve insolvency is the number of years from the filing for insolvency in court until the resolution of distressed assets.Strength of legal rights index measures the degree to which collateral and bankruptcy laws protect the rights of borrowers and lenders and thus facilitate lending. The index ranges from 0 to 10, with higher scores indicating that these laws are better designed to expand access to credit.Time required to enforce a contract is the number of calendar days from the filing of the lawsuit in court until the final determination and, in appropriate cases, payment.Number of procedures to enforce a contract are the number of independent actions, mandated by law or courts, that demand interaction between the parties of a contract or between them and the judge or court officer.Time required to register property is the number of calendar days needed for businesses to secure rights to property.Number of procedures to register property is the number of procedures required for a businesses to secure rights to property.Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita.Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.Time to prepare and pay taxes is the time, in hours per year, it takes to prepare, file, and pay (or withhold) three major types of taxes: the corporate income tax, the value added or sales tax, and labor taxes, including payroll taxes and social security contributions.Firms expected to give gifts in meetings with tax officials is the percentage of firms that answered positively to the question "was a gift or informal payment expected or requested during a meeting with tax officials?"Labor tax and contributions is the amount of taxes and mandatory contributions on labor paid by the business.Average number of times management met with tax officials is the average number of visits or required meetings with tax officials.Other taxes payable by businesses include the amounts paid for property taxes, turnover taxes, and other small taxes such as municipal fees and vehicle and fuel taxes.Tax payments by businesses are the total number of taxes paid by businesses, including electronic filing. The tax is counted as paid once a year even if payments are more frequent.

Page 205: POL Country MetaData en EXCEL

Profit tax is the amount of taxes on profits paid by the business.Total tax rate measures the amount of taxes and mandatory contributions payable by businesses after accounting for allowable deductions and exemptions as a share of commercial profits. Taxes withheld (such as personal income tax) or collected and remitted to tax authorities (such as value added taxes, sales taxeTime required to build a warehouse is the number of calendar days needed to complete the required procedures for building a warehouse. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.Number of procedures to build a warehouse is the number of interactions of a company's employees or managers with external parties, including government agency staff, public inspectors, notaries, land registry and cadastre staff, and technical experts apart from architects and engineers.Investment in energy projects with private participation covers infrastructure projects in energy (electricity and natural gas transmission and distribution) that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects such as windmills are excluded. The types of Investment in telecom projects with private participation covers infrastructure projects in telecommunications that have reached financial closure and directly or indirectly serve the public. Movable assets are excluded. The types of projects included are operations and management contracts, operations and managemenInvestment in transport projects with private participation covers infrastructure projects in transport that have reached financial closure and directly or indirectly serve the public. Movable assets are excluded. The types of projects included are operations and management contracts, operations and management contraInvestment in water and sanitation projects with private participation covers infrastructure projects in water and sanitation that have reached financial closure and directly or indirectly serve the public. Movable assets, incinerators, and standalone solid waste projects are excluded. The types of projects included Scientific and technical journal articles refer to the number of scientific and engineering articles published in the following fields: physics, biology, chemistry, mathematics, clinical medicine, biomedical research, engineering and technology, and earth and space sciences.Patent applications are worldwide patent applications filed through the Patent Cooperation Treaty procedure or with a national patent office for exclusive rights for an invention--a product or process that provides a new way of doing something or offers a new technical solution to a problem. A patent provides protecPatent applications are worldwide patent applications filed through the Patent Cooperation Treaty procedure or with a national patent office for exclusive rights for an invention--a product or process that provides a new way of doing something or offers a new technical solution to a problem. A patent provides protecTrademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) office. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific person or enterprise. A trademark provides protection to the owner Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) office. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific person or enterprise. A trademark provides protection to the owner Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) office. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific person or enterprise. A trademark provides protection to the owner oTrademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) office. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific person or enterprise. A trademark provides protection to the owner ofTrademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) office. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific person or enterprise. A trademark provides protection to the owner oBusiness regulatory environment assesses the extent to which the legal, regulatory, and policy environments help or hinder private businesses in investing, creating jobs, and becoming more productive.Debt policy assesses whether the debt management strategy is conducive to minimizing budgetary risks and ensuring long-term debt sustainability.The economic management cluster includes macroeconomic management, fiscal policy, and debt policy.Policy and institutions for environmental sustainability assess the extent to which environmental policies foster the protection and sustainable use of natural resources and the management of pollution.Quality of budgetary and financial management assesses the extent to which there is a comprehensive and credible budget linked to policy priorities, effective financial management systems, and timely and accurate accounting and fiscal reporting, including timely and audited public accounts.Financial sector assesses the structure of the financial sector and the policies and regulations that affect it.Fiscal policy assesses the short- and medium-term sustainability of fiscal policy (taking into account monetary and exchange rate policy and the sustainability of the public debt) and its impact on growth.Gender equality assesses the extent to which the country has installed institutions and programs to enforce laws and policies that promote equal access for men and women in education, health, the economy, and protection under law.Building human resources assesses the national policies and public and private sector service delivery that affect the access to and quality of health and education services, including prevention and treatment of HIV/AIDS, tuberculosis, and malaria.IDA Resource Allocation Index is obtained by calculating the average score for each cluster and then by averaging those scores. For each of 16 criteria countries are rated on a scale of 1 (low) to 6 (high).Macroeconomic management assesses the monetary, exchange rate, and aggregate demand policy framework.Quality of public administration assesses the extent to which civilian central government staff is structured to design and implement government policy and deliver services effectively.Equity of public resource use assesses the extent to which the pattern of public expenditures and revenue collection affects the poor and is consistent with national poverty reduction priorities.Property rights and rule-based governance assess the extent to which private economic activity is facilitated by an effective legal system and rule-based governance structure in which property and contract rights are reliably respected and enforced.Social protection and labor assess government policies in social protection and labor market regulations that reduce the risk of becoming poor, assist those who are poor to better manage further risks, and ensure a minimal level of welfare to all people.

Efficiency of revenue mobilization assesses the overall pattern of revenue mobilization--not only the de facto tax structure, but also revenue from all sources as actually collected.The policies for social inclusion and equity cluster includes gender equality, equity of public resource use, building human resources, social protection and labor, and policies and institutions for environmental sustainability.The structural policies cluster includes trade, financial sector, and business regulatory environment.Trade assesses how the policy framework fosters trade in goods.Transparency, accountability, and corruption in the public sector assess the extent to which the executive can be held accountable for its use of funds and for the results of its actions by the electorate and by the legislature and judiciary, and the extent to which public employees within the executive are required to Burden of Customs Procedure measures business executives' perceptions of their country's efficiency of customs procedures. The rating ranges from 1 to 7, with a higher score indicating greater efficiency. Data are from the World Economic Forum's Executive Opinion Survey, conducted for 30 years in collaboration wiThe Quality of Port Infrastructure measures business executives' perception of their country's port facilities. Data are from the World Economic Forum's Executive Opinion Survey, conducted for 30 years in collaboration with 150 partner institutes. The 2009 round included more than 13,000 respondents from 133 countRegistered carrier departures worldwide are domestic takeoffs and takeoffs abroad of air carriers registered in the country.Air freight is the volume of freight, express, and diplomatic bags carried on each flight stage (operation of an aircraft from takeoff to its next landing), measured in metric tons times kilometers traveled.Air passengers carried include both domestic and international aircraft passengers of air carriers registered in the country.Diesel is heavy oils used as a fuel for internal combustion in diesel engines.Diesel is heavy oils used as a fuel for internal combustion in diesel engines.Road density is the ratio of the length of the country's total road network to the country's land area. The road network includes all roads in the country: motorways, highways, main or national roads, secondary or regional roads, and other urban and rural roads.Road sector energy consumption is the total energy used in the road sector including petroleum products, natural gas, electricity, and combustible renewable and waste.Road sector energy consumption is the total energy used in the road sector including petroleum products, natural gas, electricity, and combustible renewable and waste.Road sector energy consumption is the total energy used in the road sector including petroleum products, natural gas, electricity, and combustible renewable and waste. Total energy consumption is the total country energy consumption.Goods transported by road are the volume of goods transported by road vehicles, measured in millions of metric tons times kilometers traveled.Paved roads are those surfaced with crushed stone (macadam) and hydrocarbon binder or bituminized agents, with concrete, or with cobblestones, as a percentage of all the country's roads, measured in length.Passengers carried by road are the number of passengers transported by road times kilometers traveled.Gasoline is light hydrocarbon oil use in internal combustion engine such as motor vehicles, excluding aircraft.Gasoline is light hydrocarbon oil use in internal combustion engine such as motor vehicles, excluding aircraft.Total road network includes motorways, highways, and main or national roads, secondary or regional roads, and all other roads in a country. A motorway is a road designed and built for motor traffic that separates the traffic flowing in opposite directions.Goods transported by railway are the volume of goods transported by railway, measured in metric tons times kilometers traveled.Passengers carried by railway are the number of passengers transported by rail times kilometers traveled.Rail lines are the length of railway route available for train service, irrespective of the number of parallel tracks.

The public sector management and institutions cluster includes property rights and rule-based governance, quality of budgetary and financial management, efficiency of revenue mobilization, quality of public administration, and transparency, accountability, and corruption in

Page 206: POL Country MetaData en EXCEL

The Liner Shipping Connectivity Index captures how well countries are connected to global shipping networks. It is computed by the United Nations Conference on Trade and Development (UNCTAD) based on five components of the maritime transport sector: number of ships, their container-carrying capacity, maximuPort container traffic measures the flow of containers from land to sea transport modes., and vice versa, in twenty-foot equivalent units (TEUs), a standard-size container. Data refer to coastal shipping as well as international journeys. Transshipment traffic is counted as two lifts at the intermediate port (once to offMotor vehicles include cars, buses, and freight vehicles but do not include two-wheelers. Population refers to midyear population in the year for which data are available.Passenger cars refer to road motor vehicles, other than two-wheelers, intended for the carriage of passengers and designed to seat no more than nine people (including the driver).Vehicles per kilometer of road include cars, buses, and freight vehicles but do not include two-wheelers. Roads refer to motorways, highways, main or national roads, secondary or regional roads, and other roads. A motorway is a road specially designed and built for motor traffic that separates the traffic flowing in oMobile cellular telephone subscriptions are subscriptions to a public mobile telephone service using cellular technology, which provide access to the public switched telephone network. Post-paid and prepaid subscriptions are included.Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service using cellular technology, which provide access to the public switched telephone network. Post-paid and prepaid subscriptions are included.Telephone lines are fixed telephone lines that connect a subscriber's terminal equipment to the public switched telephone network and that have a port on a telephone exchange. Integrated services digital network channels ands fixed wireless subscribers are included.Telephone lines are fixed telephone lines that connect a subscriber's terminal equipment to the public switched telephone network and that have a port on a telephone exchange. Integrated services digital network channels ands fixed wireless subscribers are included.Fixed broadband Internet subscribers are the number of broadband subscribers with a digital subscriber line, cable modem, or other high-speed technology.Fixed broadband Internet subscribers are the number of broadband subscribers with a digital subscriber line, cable modem, or other high-speed technology.Secure servers are servers using encryption technology in Internet transactions.Secure servers are servers using encryption technology in Internet transactions.Internet users are people with access to the worldwide network.Internet users are people with access to the worldwide network.Daily newspapers refer to those published at least four times a week and calculated as average circulation (or copies printed) per 1,000 people.Mobile and fixed-line subscribers are total telephone subscribers (fixed-line plus mobile).Lead time to export is the median time (the value for 50 percent of shipments) from shipment point to port of loading. Data are from the Logistics Performance Index survey. Respondents provided separate values for the best case (10 percent of shipments) and the median case (50 percent of shipments). The data aLead time to import is the median time (the value for 50 percent of shipments) from port of discharge to arrival at the consignee. Data are from the Logistics Performance Index survey. Respondents provided separate values for the best case (10 percent of shipments) and the median case (50 percent of shipments).Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freigData are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freigData are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freiData are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freigLogistics Performance Index overall score reflects perceptions of a country's logistics based on efficiency of customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced shipments, quality of logistics services, ability to track and trace consignmentsData are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freData are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freArms transfers cover the supply of military weapons through sales, aid, gifts, and those made through manufacturing licenses. Data cover major conventional weapons such as aircraft, armored vehicles, artillery, radar systems, missiles, and ships designed for military use. Excluded are transfers of other military equArmed forces personnel are active duty military personnel, including paramilitary forces if the training, organization, equipment, and control suggest they may be used to support or replace regular military forces.Armed forces personnel are active duty military personnel, including paramilitary forces if the training, organization, equipment, and control suggest they may be used to support or replace regular military forces. Labor force comprises all people who meet the International Labour Organization's definition of the ecMilitary expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and eqMilitary expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and eqMilitary expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and eqArms transfers cover the supply of military weapons through sales, aid, gifts, and those made through manufacturing licenses. Data cover major conventional weapons such as aircraft, armored vehicles, artillery, radar systems, missiles, and ships designed for military use. Excluded are transfers of other military equGeneral government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security, but excludes government militGeneral government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security, but excludes government miliGeneral government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security, but excludes government miliAnnual percentage growth of general government final consumption expenditure based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. General government final consumption expenditure (general government consumption) includes all government current expenditures for purchases ofGeneral government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security, but excludes government miliGeneral government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security, but excludes government miHousehold final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellingsHousehold final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellingsHousehold final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellingsAnnual percentage growth of household final consumption expenditure is based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellingsHousehold final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellingHousehold final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwelliHousehold final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwelliHousehold final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwelliAnnual percentage growth of household final consumption expenditure based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwelliHousehold final consumption expenditure per capita (private consumption per capita) is calculated using private consumption in constant 2000 prices and World Bank population estimates. Household final consumption expenditure is the market value of all goods and services, including durable products (such as caAnnual percentage growth of household final consumption expenditure per capita, which is calculated using household final consumption expenditure in constant 2000 prices and World Bank population estimates. Household final consumption expenditure (private consumption) is the market value of all goods and seHousehold final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwelliHousehold final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwelliFinal consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (private consumption) and general government final consumption expenditure (general government consumption). This estimate includes any statistical discrepancy in the use of resources relative to thFinal consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). This estimate includes any statistical discrepancy in the use of resourFinal consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). This estimate includes any statistical discrepancy in the use of resour

Page 207: POL Country MetaData en EXCEL

Average annual growth of final consumption expenditure based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government fFinal consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). This estimate includes any statistical discrepancy in the use of resourFinal consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (private consumption) and general government final consumption expenditure (general government consumption). This estimate includes any statistical discrepancy in the use of resources relative to Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (private consumption) and general government final consumption expenditure (general government consumption). Data are in current U.S. dollars.Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (private consumption) and general government final consumption expenditure (general government consumption). Data are in current local currency.Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). Data are in constant 2000 U.S. dollars.Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). Data are in constant local currency.Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital formation (formerly gross domestic investment).Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital formation (formerly gross domestic investment). Data aGross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital formation (formerly gross domestic investment). Data Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital formation (formerly gross domestic investment). Data Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital formation (formerly gross domestic investment). Data Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital formation (formerly gross domestic investment).Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business,Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business,Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business,Annual growth rate of exports of goods and services based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurExports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business,Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, businessPrivate investment covers gross outlays by the private sector (including private nonprofit agencies) on additions to its fixed domestic assets.Private investment covers gross outlays by the private sector (including private nonprofit agencies) on additions to its fixed domestic assets.Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercial Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercialGross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercialAverage annual growth of gross fixed capital formation based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchasGross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercialGross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, offices, hospitals, private residential dwellings, and commercialInventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." Data are in current U.S. dollars.Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." Data are in current local currency.Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." Data are in constant local currency.Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of rGross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of rGross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of rAnnual growth rate of gross capital formation based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assetGross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of rGross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, businesImports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, busineImports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, busineAnnual growth rate of imports of goods and services based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insImports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, busineImports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, businExternal balance on goods and services (formerly resource balance) equals exports of goods and services minus imports of goods and services (previously nonfactor services). Data are in current U.S. dollars.External balance on goods and services (formerly resource balance) equals exports of goods and services minus imports of goods and services (previously nonfactor services). Data are in current local currency.External balance on goods and services (formerly resource balance) equals exports of goods and services minus imports of goods and services (previously nonfactor services). Data are in constant local currency.External balance on goods and services (formerly resource balance) equals exports of goods and services minus imports of goods and services (previously nonfactor services).Trade is the sum of exports and imports of goods and services measured as a share of gross domestic product.Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricAgriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabriAgriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabriAnnual growth rate for agricultural value added based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sectAgriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabriAgriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabrManufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin ofAnnual growth rate for manufacturing value added based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is c

Page 208: POL Country MetaData en EXCEL

Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin ofManufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin oIndustry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermeIndustry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermeIndustry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermAnnual growth rate for industrial value added based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), coIndustry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermIndustry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting interValue added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division 3. Chemicals comprise ISIC groups 351 and 352.Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division 3. Food, beverages, and tobacco comprise ISIC division 31.Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division 3. Machinery and transport equipment comprise ISIC groups 382-84.Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division 3. Other manufacturing includes wood and related products (division 33), paper and paper-related products (division 34), petroleum and related products (Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division 3. Textiles and clothing comprise ISIC division 32.Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, importServices correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, importAnnual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, importServices correspond to ISIC divisions 50-99 and they include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, imEducation expenditure refers to the current operating expenditures in education, including wages and salaries and excluding capital investments in buildings and equipment.Education expenditure refers to the current operating expenditures in education, including wages and salaries and excluding capital investments in buildings and equipment.Carbon dioxide damage is estimated to be $20 per ton of carbon (the unit damage in 1995 U.S. dollars) times the number of tons of carbon emitted.Carbon dioxide damage is estimated to be $20 per ton of carbon (the unit damage in 1995 U.S. dollars) times the number of tons of carbon emitted.Net forest depletion is calculated as the product of unit resource rents and the excess of roundwood harvest over natural growth.Net forest depletion is calculated as the product of unit resource rents and the excess of roundwood harvest over natural growth.Consumption of fixed capital represents the replacement value of capital used up in the process of production.Consumption of fixed capital represents the replacement value of capital used up in the process of production.Mineral depletion is equal to the product of unit resource rents and the physical quantities of minerals extracted. It refers to bauxite, copper, iron, lead, nickel, phosphate, tin, zinc, gold, and silver.Mineral depletion is equal to the product of unit resource rents and the physical quantities of minerals extracted. It refers to bauxite, copper, iron, lead, nickel, phosphate, tin, zinc, gold, and silver.Energy depletion is equal to the product of unit resource rents and the physical quantities of energy extracted. It covers crude oil, natural gas, and coal.Energy depletion is equal to the product of unit resource rents and the physical quantities of energy extracted. It covers crude oil, natural gas, and coal.Particulate emissions damage is calculated as the willingness to pay to avoid mortality attributable to particulate emissions.Particulate emissions damage is calculated as the willingness to pay to avoid mortality attributable to particulate emissions.Natural resource depletion is the sum of net forest depletion, energy depletion, and mineral depletion. Net forest depletion is unit resource rents times the excess of roundwood harvest over natural growth. Energy depletion is the ratio of the value of the stock of energy resources to the remaining reserve lifetime (cappedGross savings are the difference between gross national income and public and private consumption, plus net current transfers.Net national savings are equal to gross national savings less the value of consumption of fixed capital.Net national savings are equal to gross national savings less the value of consumption of fixed capital.Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage.Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage.Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide. This series excludes particulate emissions damage.Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide. This series excludes particulate emissions damage.Exports as a capacity to import equals the current price value of exports of goods and services deflated by the import price index. Data are in constant local currency.Coal rents are the difference between the value of both hard and soft coal production at world prices and their total costs of production.Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency.The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency. The base year varies by country.Discrepancy in expenditure estimate of GDP is the discrepancy included in final consumption expenditure, etc. (total consumption, etc.). This discrepancy is included to ensure that GDP from the expenditure side equals GDP measured by the income or output approach. Data are in current local currency. A statistical discrepancy usually arises when the GDP components are estimated independently by industrial origin and by expenditure categories. This item represents the discrepancy in the use of resources (i.e., the estimate of GDP by expenditure categories). Data are in constant local currency.Gross value added at factor cost (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at factor cost is derived by subtracting net product taxes from GDP. Data are iGross value added at factor cost (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at factor cost is derived by subtracting net product taxes from GDP. Data are iGross value added at factor cost (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at factor cost is derived by subtracting net product taxes from GDP. Data are Gross value added at factor cost (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at factor cost is derived by subtracting net product taxes from GDP. Data are Forest rents are roundwood harvest times the product of average prices and a region-specific rental rate.Mineral rents are the difference between the value of production for a stock of minerals at world prices and their total costs of production. Minerals included in the calculation are tin, gold, lead, zinc, iron, copper, nickel, silver, bauxite, and phosphate.GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resour

Page 209: POL Country MetaData en EXCEL

GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resoGDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resouAnnual percentage growth rate of GDP at market prices based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is cGDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in coPPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes andPPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes anNatural gas rents are the difference between the value of natural gas production at world prices and total costs of production.GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated asseGDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assAnnual percentage growth rate of GDP per capita based on constant local currency. GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included iGDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciaGDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser's prices is the sum of gross vaGDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser's prices is the sum of gross vOil rents are the difference between the value of crude oil production at world prices and total costs of production.Total natural resources rents are the sum of oil rents, natural gas rents, coal rents (hard and soft), mineral rents, and forest rents.Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in current U.S. dollars.Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in current local currency.Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in constant local currency.Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption).Gross domestic income is derived as the sum of GDP and the terms of trade adjustment. Data are in constant 2000 U.S. dollars.Gross domestic income is derived as the sum of GDP and the terms of trade adjustment. Data are in constant local currency.GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars. GNI, calculated in national currencGNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars.GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current local currency.GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in constant 2000 U.S. dollars.GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad.GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in constant local currency.PPP GNI (formerly PPP GNP) is gross national income converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GNI as a U.S. dollar has in the United States. Gross national income (GNI) is the sum of value added by all resident producers plus aGNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receGNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abrGNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from aGNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abrGNI per capita based on purchasing power parity (PPP). PPP GNI is gross national income (GNI) converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GNI as a U.S. dollar has in the United States. GNI is the sum of value added by all residenGross savings are calculated as gross national income less total consumption, plus net transfers. Data are in current U.S. dollars.Gross savings are calculated as gross national income less total consumption, plus net transfers. Data are in current local currency.Gross savings are calculated as gross national income less total consumption, plus net transfers.Gross savings are calculated as gross national income less total consumption, plus net transfers.Gross national income is derived as the sum of GNP and the terms of trade adjustment. Data are in constant local currency.Net income includes the net labor income and net property and entrepreneurial income components of the SNA. Labor income covers compensation of employees paid to nonresident workers. Property and entrepreneurial income covers investment income from the ownership of foreign financial claims (interest, dividendNet income includes the net labor income and net property and entrepreneurial income components of the SNA. Labor income covers compensation of employees paid to nonresident workers. Property and entrepreneurial income covers investment income from the ownership of foreign financial claims (interest, dividenNet income includes the net labor income and net property and entrepreneurial income components of the SNA. Labor income covers compensation of employees paid to nonresident workers. Property and entrepreneurial income covers investment income from the ownership of foreign financial claims (interest, dividenNet taxes on products (net indirect taxes) are the sum of product taxes less subsidies. Product taxes are those taxes payable by producers that relate to the production, sale, purchase or use of the goods and services. Subsidies are grants on the current account made by general government to private enterprises anNet taxes on products (net indirect taxes) are the sum of product taxes less subsidies. Product taxes are those taxes payable by producers that relate to the production, sale, purchase or use of the goods and services. Subsidies are grants on the current account made by general government to private enterprises aNet taxes on products (net indirect taxes) are the sum of product taxes less subsidies. Product taxes are those taxes payable by producers that relate to the production, sale, purchase or use of the goods and services. Subsidies are grants on the current account made by general government to private enterprises aCurrent transfers comprise transfers of income between residents of the reporting country and the rest of the world that carry no provisions for repayment. Net current transfers from abroad is equal to the unrequited transfers of income from nonresidents to residents minus the unrequited transfers from residents tCurrent transfers comprise transfers of income between residents of the reporting country and the rest of the world that carry no provisions for repayment. Net current transfers from abroad is equal to the unrequited transfers of income from nonresidents to residents minus the unrequited transfers from residents tCurrent transfers comprise transfers of income between residents of the reporting country and the rest of the world that carry no provisions for repayment. Net current transfers from abroad is equal to the unrequited transfers of income from nonresidents to residents minus the unrequited transfers from residents The terms of trade effect equals capacity to import less exports of goods and services in constant prices. Data are in constant local currency.The DEC alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method. As a rule, it is the official exchange rate reported in the IMF's International Financial Statistics (line rf). Exceptions arise where further refinements are made by World Bank staff. It is expressed in local Official exchange rate refers to the exchange rate determined by national authorities or to the rate determined in the legally sanctioned exchange market. It is calculated as an annual average based on monthly averages (local currency units relative to the U.S. dollar).Purchasing power parity conversion factor is the number of units of a country's currency required to buy the same amounts of goods and services in the domestic market as U.S. dollar would buy in the United States. This conversion factor is for GDP.Purchasing power parity conversion factor is the number of units of a country's currency required to buy the same amount of goods and services in the domestic market as a U.S. dollar would buy in the United States. The ratio of PPP conversion factor to market exchange rate is the result obtained by dividing the PPPPurchasing power parity conversion factor is the number of units of a country's currency required to buy the same amounts of goods and services in the domestic market as U.S. dollar would buy in the United States. This conversion factor is for private consumption (i.e., household final consumption expenditure).Real effective exchange rate is the nominal effective exchange rate (a measure of the value of a currency against a weighted average of several foreign currencies) divided by a price deflator or index of costs.Youth literacy rate is the percentage of people ages 15-24 who can, with understanding, read and write a short, simple statement on their everyday life.Ratio of young literate females to males is the percentage of females to males ages 15-24 who can, with understanding, read and write a short, simple statement on their everyday life.Youth literacy rate is the percentage of people ages 15-24 who can, with understanding, read and write a short, simple statement on their everyday life.

Page 210: POL Country MetaData en EXCEL

Youth literacy rate is the percentage of people ages 15-24 who can, with understanding, read and write a short, simple statement on their everyday life.Adult literacy rate is the percentage of people ages 15 and above who can, with understanding, read and write a short, simple statement on their everyday life.Adult literacy rate is the percentage of people ages 15 and above who can, with understanding, read and write a short, simple statement on their everyday life.Adult literacy rate is the percentage of people ages 15 and above who can, with understanding, read and write a short, simple statement on their everyday life.Ratio of female to male primary enrollment is the ratio of the female to male gross enrollment rates in primary school.Ratio of girls to boys in primary and secondary education is the ratio of the female to male gross enrollment rates in primary and secondary school.Ratio of female to male secondary enrollment is the ratio of the female to male gross enrollment rates in secondary school.Ratio of female to male tertiary enrollment is the ratio of the female to male gross enrollment rates in tertiary school.Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Preprimary education refers to the initial stage of organized instruction, designed primarily to introduce very young children to a school-type enviroGross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Preprimary education refers to the initial stage of organized instruction, designed primarily to introduce very young children to a school-type enviroGross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Preprimary education refers to the initial stage of organized instruction, designed primarily to introduce very young children to a school-type enviroPrimary school starting age is the age at which students would enter primary education, assuming they had started at the official entrance age for the lowest level of education, had studied full-time throughout and had progressed through the system without repeating or skipping a grade.Primary completion rate is the percentage of students completing the last year of primary school. It is calculated by taking the total number of students in the last grade of primary school, minus the number of repeaters in that grade, divided by the total number of children of official graduation age.Primary completion rate is the percentage of students completing the last year of primary school. It is calculated by taking the total number of students in the last grade of primary school, minus the number of repeaters in that grade, divided by the total number of children of official graduation age.Primary completion rate is the percentage of students completing the last year of primary school. It is calculated by taking the total number of students in the last grade of primary school, minus the number of repeaters in that grade, divided by the total number of children of official graduation age.Primary duration refers to the number of years of full-time equivalent duration in primary education in the school system according to ISCED.Primary education pupils is the total number of pupils enrolled at primary level in public and private schools.Female pupils as a percentage of total pupils at primary level include enrollments in public and private schools.Primary school pupil-teacher ratio is the number of pupils enrolled in primary school divided by the number of primary school teachers (regardless of their teaching assignment).Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as hiGross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as hiGross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as hiGross intake rate in grade 1 is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age.Gross intake rate in grade 1 is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age.Gross intake rate in grade 1 is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age.Net enrollment ratio is the ratio of children of official school age based on the International Standard Classification of Education 1997 who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along wiNet enrollment ratio is the ratio of children of official school age based on the International Standard Classification of Education 1997 who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along wiNet enrollment ratio is the ratio of children of official school age based on the International Standard Classification of Education 1997 who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along wiNet intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age.Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age.Net intake rate in grade 1 is the number of new entrants in the first grade of primary education who are of official primary school entrance age, expressed as a percentage of the population of the corresponding age.Private enrollment refers to pupils or students enrolled in institutions that are not operated by a public authority but controlled and managed, whether for profit or not, by a private body such as a nongovernmental organization, religious body, special interest group, foundation or business enterprise.Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method.Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method.Persistence to grade 5 (percentage of cohort reaching grade 5) is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is based on the reconstructed cohort method.Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method.Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method.Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method.Repeaters in primary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in primary school.Repeaters in primary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in primary school.Repeaters in primary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in primary school.Trained teachers in primary education are the percentage of primary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in their country.Trained teachers in primary education are the percentage of primary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in their country.Trained teachers in primary education are the percentage of primary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in their country.Primary education teachers includes full-time and part-time teachers.Female teachers as a percentage of total primary education teachers includes full-time and part-time teachers.Total enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.Total enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.Total enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.Secondary school starting age is the age at which students would enter secondary education, assuming they had started at the official entrance age for the lowest level of education, had studied full-time throughout and had progressed through the system without repeating or skipping a grade.Secondary education, duration (years) is the number of grades (years) in secondary school.Secondary education pupils is the total number of pupils enrolled at secondary level in public and private schools.Female pupils as a percentage of total pupils at secondary level includes enrollments in public and private schools.Secondary general pupils are the number of secondary students enrolled in general education programs, including teacher training.

Page 211: POL Country MetaData en EXCEL

Secondary general pupils are the number of secondary students enrolled in general education programs, including teacher training.Secondary school pupil-teacher ratio is the number of pupils enrolled in secondary school divided by the number of secondary school teachers (regardless of their teaching assignment).Secondary vocational pupils are the number of secondary students enrolled in technical and vocational education programs, including teacher training.Secondary vocational pupils are the number of secondary students enrolled in technical and vocational education programs, including teacher training.Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong leaGross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong leaGross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong leaNet enrollment ratio is the ratio of children of official school age based on the International Standard Classification of Education 1997 who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary levelNet enrollment ratio is the ratio of children of official school age based on the International Standard Classification of Education 1997 who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary levelNet enrollment ratio is the ratio of children of official school age based on the International Standard Classification of Education 1997 who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary levelPrivate enrollment refers to pupils or students enrolled in institutions that are not operated by a public authority but controlled and managed, whether for profit or not, by a private body such as a nongovernmental organization, religious body, special interest group, foundation or business enterprise.Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year.Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year.Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year.Repeaters in secondary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in secondary school.Repeaters in secondary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in secondary school.Repeaters in secondary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in secondary school.Secondary education teachers includes full-time and part-time teachers.Secondary education teachers includes full-time and part-time teachers.Female teachers as a percentage of total secondary education teachers includes full-time and part-time teachers.Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful coGross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful coGross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful coPublic expenditure per student is the public current spending on education divided by the total number of students by level, as a percentage of GDP per capita. Public expenditure (current and capital) includes government spending on educational institutions (both public and private), education administration as well Public expenditure per student is the public current spending on education divided by the total number of students by level, as a percentage of GDP per capita. Public expenditure (current and capital) includes government spending on educational institutions (both public and private), education administration as well Public expenditure per student is the public current spending on education divided by the total number of students by level, as a percentage of GDP per capita. Public expenditure (current and capital) includes government spending on educational institutions (both public and private), education administration as well Public expenditure on education consists of current and capital public expenditure on education includes government spending on educational institutions (both public and private), education administration as well as subsidies for private entities (students/households and other privates entities).Public expenditure on education consists of current and capital public expenditure on education includes government spending on educational institutions (both public and private), education administration as well as subsidies for private entities (students/households and other privates entities).Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women.Condom use is the percentage of the population ages 15-24 who used a condom at last intercourse in the last 12 months.Condom use is the percentage of the population ages 15-24 who used a condom at last intercourse in the last 12 months.Prevalence of HIV is the percentage of people who are infected with HIV. Female rate is as a percentage of the total population with HIV.Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV.Child mortality rate is the probability of dying between the exact ages of one and five, if subject to current age-specific mortality rates. The probability is expressed as a rate per 1,000.Child mortality rate is the probability of dying between the exact ages of one and five, if subject to current age-specific mortality rates. The probability is expressed as a rate per 1,000.Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to current age-specific mortality rates.Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year.Access to an improved water source refers to the percentage of the population with reasonable access to an adequate amount of water from an improved source, such as a household connection, public standpipe, borehole, protected well or spring, and rainwater collection. Unimproved sources include vendors, tanker tAccess to an improved water source refers to the percentage of the population with reasonable access to an adequate amount of water from an improved source, such as a household connection, public standpipe, borehole, protected well or spring, and rainwater collection. Unimproved sources include vendors, tanker tAccess to an improved water source refers to the percentage of the population with reasonable access to an adequate amount of water from an improved source, such as a household connection, public standpipe, borehole, protected well or spring, and rainwater collection. Unimproved sources include vendors, tanker tChildren living with HIV refers to the number of children ages 0-14 who are infected with HIV.Prevalence of HIV is the percentage of people who are infected with HIV. Youth rates are as a percentage of the relevant age group.Prevalence of HIV is the percentage of people who are infected with HIV. Youth rates are as a percentage of the relevant age group.Child immunization measures the percentage of children ages 12-23 months who received vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against diphtheria, pertussis (or whooping cough), and tetanus (DPT) after receiving three doses of vaccine.Child immunization measures the percentage of children ages 12-23 months who received vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine.Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.Community health workers include various types of community health aides, many with country-specific occupational titles such as community health officers, community health-education workers, family health workers, lady health visitors and health extension package workers.Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses.Physicians include generalist and specialist medical practitioners.Malaria incidence is expressed as the number of new cases of malaria per 100,000 people each year. The number of cases reported is adjusted to take into account incompleteness in reporting systems, patients seeking treatment in the private sector, self-medicating or not seeking treatment at all, and potential overUse of insecticide-treated bed nets refers to the percentage of children under age five who slept under an insecticide-treated bednet to prevent malaria.Malaria treatment refers to the percentage of children under age five who were ill with fever in the last two weeks and received any appropriate (locally defined) anti-malarial drugs.Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death. Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death. Prevalence of smoking, female is the percentage of women ages 15 and over who smoke any form of tobacco, including cigarettes, cigars, and pipes, and excluding smokeless tobacco. Data include daily and non-daily smoking.Prevalence of smoking, male is the percentage of men ages 15 and over who smoke any form of tobacco, including cigarettes, cigars, and pipes, and excluding smokeless tobacco. Data include daily and non-daily smoking.Access to improved sanitation facilities refers to the percentage of the population with at least adequate access to excreta disposal facilities that can effectively prevent human, animal, and insect contact with excreta. Improved facilities range from simple but protected pit latrines to flush toilets with a sewerage co

Page 212: POL Country MetaData en EXCEL

Access to improved sanitation facilities refers to the percentage of the population with at least adequate access to excreta disposal facilities that can effectively prevent human, animal, and insect contact with excreta. Improved facilities range from simple but protected pit latrines to flush toilets with a sewerage coAccess to improved sanitation facilities refers to the percentage of the population with at least adequate access to excreta disposal facilities that can effectively prevent human, animal, and insect contact with excreta. Improved facilities range from simple but protected pit latrines to flush toilets with a sewerage coPregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.Children with acute respiratory infection (ARI) who are taken to a health provider refers to the percentage of children under age five with ARI in the last two weeks who were taken to an appropriate health provider, including hospital, health center, dispensary, village health worker, clinic, and private physician.Exclusive breastfeeding refers to the percentage of children less than six months old who are fed breast milk alone (no other liquids) in the past 24 hours.Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.Low-birthweight babies are newborns weighing less than 2,500 grams, with the measurement taken within the first hours of life, before significant postnatal weight loss has occurred.Prevalence of child malnutrition is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's new child growth standards released in 2006.Maternal mortality ratio is the number of women who die during pregnancy and childbirth, per 100,000 live births. The data are estimated with a regression model using information on fertility, birth attendants, and HIV prevalence.Maternal mortality ratio is the number of women who die during pregnancy and childbirth, per 100,000 live births.Children with diarrhea who received oral rehydration and continued feeding refer to the percentage of children under age five with diarrhea in the two weeks prior to the survey who received either oral rehydration therapy or increased fluids, with continued feeding.Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.Prevalence of child malnutrition is the percentage of children under age 5 whose height for age (stunting) is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older childrWasting prevalence is the proportion of children under five whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59.Tuberculosis treatment success rate is the percentage of new, registered smear-positive (infectious) cases that were cured or in which a full course of treatment was completed.Tuberculosis case detection rate (all forms) is the percentage of newly notified tuberculosis cases (including relapses) to estimated incident cases (case detection, all forms).Incidence of tuberculosis is the estimated number of new pulmonary, smear positive, and extra-pulmonary tuberculosis cases.Newborns protected against tetanus are the percentage of births by women of child-bearing age who are immunized against tetanus.Outpatient visits per capita are the number of visits to health care facilities per capita, including repeat visits.External resources for health are funds or services in kind that are provided by entities not part of the country in question. The resources may come from international organizations, other countries through bilateral arrangements, or foreign nongovernmental organizations. These resources are part of total health eOut of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceuticals, therapeutic appliances, and other goods and services whose primary intent is to contribute to the restoration or enhancement of the health status of individOut of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceuticals, therapeutic appliances, and other goods and services whose primary intent is to contribute to the restoration or enhancement of the health status of individTotal health expenditure is the sum of public and private health expenditures as a ratio of total population. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation.Total health expenditure is the sum of public and private health expenditures as a ratio of total population. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitatioPrivate health expenditure includes direct household (out-of-pocket) spending, private insurance, charitable donations, and direct service payments by private corporations.Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds. Total health expenditure is the sum Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds.Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds.Total health expenditure is the sum of public and private health expenditure. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation.Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles.Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles.Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.Population below $2 a day is the percentage of the population living on less than $2.00 a day at 2005 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.Population below $1.25 a day is the percentage of the population living on less than $1.25 a day at 2005 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.Poverty gap is the mean shortfall from the poverty line (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence.Poverty gap is the mean shortfall from the poverty line (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence.Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of

National poverty rate is the percentage of the population living below the national poverty line. National estimates are based on population-weighted subgroup estimates from household surveys.

Rural poverty rate is the percentage of the rural population living below the national rural poverty line.

Urban poverty rate is the percentage of the urban population living below the national urban poverty line.Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Agriculture corresponds to division 1 (ISIC revision 2) or categories A and B (ISIC revision 3) and includes agriculture and hunting, forestry and logging, and fishinEmployment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Agriculture corresponds to division 1 (ISIC revision 2) or categories A and B (ISIC revision 3) and includes agriculture and hunting, forestry and logging, and fishinEmployment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Agriculture corresponds to division 1 (ISIC revision 2) or categories A and B (ISIC revision 3) and includes agriculture and hunting, forestry and logging, and fishinEmployees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Agriculture corresponds to division 1 (ISIC revision 2) or tabulation categories A and B (ISIC revision 3) and includes hunting, forestry, and fishing.Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Agriculture corresponds to division 1 (ISIC revision 2) or tabulation categories A and B (ISIC revision 3) and includes hunting, forestry, and fishing.Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Agriculture corresponds to division 1 (ISIC revision 2) or tabulation categories A and B (ISIC revision 3) and includes hunting, forestry, and fishing.Employment to population ratio is the proportion of a country's population that is employed. Ages 15-24 are generally considered the youth population.Employment to population ratio is the proportion of a country's population that is employed. Ages 15-24 are generally considered the youth population.Employment to population ratio is the proportion of a country's population that is employed. Ages 15-24 are generally considered the youth population.Share of women employed in the nonagricultural sector is the share of female workers in the nonagricultural sector (industry and services), expressed as a percentage of total employment in the nonagricultural sector. Industry includes mining and quarrying (including oil production), manufacturing, construction, electric

Poverty gap at national poverty line is the mean shortfall from the poverty line (counting the nonpoor as having zero shortfall) as a percentage of

Poverty gap at rural poverty line is the mean shortfall from the poverty line (counting the nonpoor as having zero shortfall) as a percentage of

Poverty gap at urban poverty line is the mean shortfall from the poverty line (counting the nonpoor as having zero shortfall) as a percentage of

Page 213: POL Country MetaData en EXCEL

Employers refers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a “self-employment jobs” i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced), and, in this capacity, have engageEmployers refers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a “self-employment jobs” i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced), and, in this capacity, have engageEmployers refers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a “self-employment jobs” i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced), and, in this capacity, have engageSelf employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs."Self employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs."Self employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs."Total employment shows the total number employed ages 15 and over.Employment to population ratio is the proportion of a country's population that is employed. Ages 15 and older are generally considered the working-age population.Employment to population ratio is the proportion of a country's population that is employed. Ages 15 and older are generally considered the working-age population.Employment to population ratio is the proportion of a country's population that is employed. Ages 15 and older are generally considered the working-age population.Vulnerable employment is unpaid family workers and own-account workers as a percentage of total employment.Vulnerable employment is unpaid family workers and own-account workers as a percentage of total employment.Vulnerable employment is unpaid family workers and own-account workers as a percentage of total employment.Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which tWage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which tWage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which tContributing family workers are those workers who hold "self-employment jobs" as own-account workers in a market-oriented establishment operated by a related person living in the same household.Contributing family workers are those workers who hold "self-employment jobs" as own-account workers in a market-oriented establishment operated by a related person living in the same household.Contributing family workers are those workers who hold "self-employment jobs" as own-account workers in a market-oriented establishment operated by a related person living in the same household.GDP per person employed is gross domestic product (GDP) divided by total employment in the economy. Purchasing power parity (PPP) GDP is GDP converted to 1990 constant international dollars using PPP rates. An international dollar has the same purchasing power over GDP that a U.S. dollar has in the United StEmployees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Industry corresponds to divisions 2-5 (ISIC revision 2) or tabulation categories C-F (ISIC revision 3) and includes mining and quarrying (including oil production), manufEmployees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Industry corresponds to divisions 2-5 (ISIC revision 2) or tabulation categories C-F (ISIC revision 3) and includes mining and quarrying (including oil production), manufEmployees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Industry corresponds to divisions 2-5 (ISIC revision 2) or tabulation categories C-F (ISIC revision 3) and includes mining and quarrying (including oil production), manufEmployment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Manufacturing corresponds to division 3 (ISIC revision 2) or category D (ISIC revision 3). Economically active children refer to children involved in economic activiEmployment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Manufacturing corresponds to division 3 (ISIC revision 2) or category D (ISIC revision 3). Economically active children refer to children involved in economic activiEmployment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Manufacturing corresponds to division 3 (ISIC revision 2) or category D (ISIC revision 3). Economically active children refer to children involved in economic activiWage equality between women and men in manufacturing refers to female to male wages and salaries in manufacturing.Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Services correspond to divisions 6-9 (ISIC revision 2) or categories G-P (ISIC revision 3) and include wholesale and retail trade, hotels and restaurants, transport,Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Services correspond to divisions 6-9 (ISIC revision 2) or categories G-P (ISIC revision 3) and include wholesale and retail trade, hotels and restaurants, transport,Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Services correspond to divisions 6-9 (ISIC revision 2) or categories G-P (ISIC revision 3) and include wholesale and retail trade, hotels and restaurants, transport,Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Services correspond to divisions 6-9 (ISIC revision 2) or tabulation categories G-P (ISIC revision 3) and include wholesale and retail trade and restaurants and hotelEmployees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Services correspond to divisions 6-9 (ISIC revision 2) or tabulation categories G-P (ISIC revision 3) and include wholesale and retail trade and restaurants and hotelEmployees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Services correspond to divisions 6-9 (ISIC revision 2) or tabulation categories G-P (ISIC revision 3) and include wholesale and retail trade and restaurants and hotelEconomically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey. Study and work refer to children attending school in combination with economic activity.Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey. Study and work refer to children attending school in combination with economic activity.Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey. Study and work refer to children attending school in combination with economic activity.Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey. Work only refers to children involved in economic activity and not attending school.Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey. Work only refers to children involved in economic activity and not attending school.Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey. Work only refers to children involved in economic activity and not attending school.Economically active children refer to children involved in economic activity for at least one hour in the reference week of the survey.Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country.Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country.Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country.Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country.Labor force with primary education is the proportion of the labor force that has a primary education, as a percentage of the total labor force.Labor force with primary education is the proportion of the labor force that has a primary education, as a percentage of the total labor force.Labor force with primary education is the proportion of the labor force that has a primary education, as a percentage of the total labor force.Labor force with secondary education is the proportion of the labor force that has a secondary education, as a percentage of the total labor force.Labor force with secondary education is the proportion of the labor force that has a secondary education, as a percentage of the total labor force.Labor force with secondary education is the proportion of the labor force that has a secondary education, as a percentage of the total labor force.Labor force with tertiary education is the proportion of labor force that has a tertiary education, as a percentage of the total labor force.Labor force with tertiary education is the proportion of labor force that has a tertiary education, as a percentage of the total labor force.

Page 214: POL Country MetaData en EXCEL

Labor force with tertiary education is the proportion of labor force that has a tertiary education, as a percentage of the total labor force.Female labor force as a percentage of the total show the extent to which women are active in the labor force. Labor force comprises people ages 15 and older who meet the International Labour Organization's definition of the economically active population.Total labor force comprises people ages 15 and older who meet the International Labour Organization definition of the economically active population: all people who supply labor for the production of goods and services during a specified period. It includes both the employed and the unemployed. While national pYouth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.Long-term unemployment refers to the number of people with continuous periods of unemployment extending for a year or longer, expressed as a percentage of the total unemployed.Long-term unemployment refers to the number of people with continuous periods of unemployment extending for a year or longer, expressed as a percentage of the total unemployed.Long-term unemployment refers to the number of people with continuous periods of unemployment extending for a year or longer, expressed as a percentage of the total unemployed.Unemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the United Nations Educational, Cultural, and Scientific OUnemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the United Nations Educational, Cultural, and Scientific OUnemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the United Nations Educational, Cultural, and Scientific OUnemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the United Nations Educational, Cultural, and Scientific OUnemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the United Nations Educational, Cultural, and Scientific OUnemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the United Nations Educational, Cultural, and Scientific OUnemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the United Nations Educational, Cultural, and Scientific OUnemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the United Nations Educational, Cultural, and Scientific OUnemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the United Nations Educational, Cultural, and Scientific OUnemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.Emigration rate of tertiary educated shows the stock of emigrants ages 25 and older, residing in an OECD country other than that in which they were born, with at least one year of tertiary education as a percentage of the population age 25 and older with tertiary education.Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates. To derive estimates of net migration, the United Nations Population Division takes into account the past migrRefugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statRefugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statutInternational migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born poInternational migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born poPopulation below minimum level of dietary energy consumption (also referred to as prevalence of undernourishment) shows the percentage of the population whose food intake is insufficient to meet dietary energy requirements continuously. Data showing as 2.5 signifies a prevalence of undernourishment below Depth of hunger or the intensity of food deprivation, indicates how much food-deprived people fall short of minimum food needs in terms of dietary energy. The food deficit, in kilocalories per person per day, is measured by comparing the average amount of dietary energy that undernourished people get from the foConsumption of iodized salt refers to the percentage of households that use edible salt fortified with iodine.Vitamin A supplementation refers to the percentage of children ages 6-59 months old who received at least one high-dose vitamin A capsule in the previous six months.Adolescent fertility rate is the number of births per 1,000 women ages 15-19.Completeness of infant death reporting is the number of infant deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of infant deaths estimated by the United Nations Population Division.Completeness of total death reporting is the number of total deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of total deaths estimated by the United Nations Population Division.Adult mortality rate is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old dying before reaching age 60, if subject to current age-specific mortality rates between those ages.Adult mortality rate is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old dying before reaching age 60, if subject to current age-specific mortality rates between those ages.Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, any form of contraception. It is usually measured for married women ages 15-49 only.Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with current age-specific fertility rates.Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to current age specific mortality rates.Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to current age specific mortality rates.Wanted fertility rate is an estimate of what the total fertility rate would be if all unwanted births were avoided.Female headed households shows the percentage of households with a female head.Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant.Total population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of the country of origiPopulation between the ages 0 to 14 as a percentage of the total population. Population is based on the de facto definition of population.Total population between the ages 15 to 64 is the number of people who could potentially be economically active. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, whoPopulation ages 15 to 64 is the percentage of the total population that is in the age group 15 to 64. Population is based on the de facto definition of population.Total population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of the country of origin.Population ages 65 and above as a percentage of the total population. Population is based on the de facto definition of population.Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.Age dependency ratio, old, is the ratio of older dependents--people older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.

Page 215: POL Country MetaData en EXCEL

Age dependency ratio, young, is the ratio of younger dependents--people younger than 15--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settledResearchers in R&D are professionals engaged in the conception or creation of new knowledge, products, processes, methods, or systems and in the management of the projects concerned. Postgraduate PhD students (ISCED97 level 6) engaged in R&D are included.Technicians in R&D and equivalent staff are people whose main tasks require technical knowledge and experience in engineering, physical and life sciences (technicians), or social sciences and humanities (equivalent staff). They participate in R&D by performing scientific and technical tasks involving the applicationTotal population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. The values shown are midyear estFemale population is the percentage of the population that is female. Population is based on the de facto definition of population.Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registeCompleteness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registeCompleteness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registeRural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception.International inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they have their usual residence, but outside their usual environment, for a period not exceeding 12 months and whose main purpose in visiting is other than an activity remunerated from withiInternational outbound tourists are the number of departures that people make from their country of usual residence to any other country for any purpose other than a remunerated activity in the country visited. The data on outbound tourists refer to the number of departures, not to the number of people traveliInternational tourism receipts are expenditures by international inbound visitors, including payments to national carriers for international transport. These receipts include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, excInternational tourism receipts are expenditures by international inbound visitors, including payments to national carriers for international transport. These receipts include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, exInternational tourism receipts for passenger transport items are expenditures by international inbound visitors for all services provided in the international transportation by resident carriers. Also included are passenger services performed within an economy by nonresident carriers. Excluded are passenger services pInternational tourism expenditures for passenger transport items are expenditures of international outbound visitors in other countries for all services provided during international transportation by nonresident carriers. Also included are passenger services performed within an economy by nonresident carriers. ExcluInternational tourism receipts for travel items are expenditures by international inbound visitors in the reporting economy. The goods and services are purchased by, or on behalf of, the traveler or provided, without a quid pro quo, for the traveler to use or give away. These receipts should include any other prepaymentInternational tourism expenditures are expenditures of international outbound visitors in other countries. The goods and services are purchased by, or on behalf of, the traveler or provided, without a quid pro quo, for the traveler to use or give away. These may include expenditures by residents traveling abroad as same-International tourism expenditures are expenditures of international outbound visitors in other countries, including payments to foreign carriers for international transport. These expenditures may include those by residents traveling abroad as same-day visitors, except in cases where these are important enough to juInternational tourism expenditures are expenditures of international outbound visitors in other countries, including payments to foreign carriers for international transport. These expenditures may include those by residents traveling abroad as same-day visitors, except in cases where these are important enough to Merchandise trade as a share of GDP is the sum of merchandise exports and imports divided by the value of GDP, all in current U.S. dollars.

Binding coverage is the percentage of product lines with an agreed bound rate. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.Simple mean bound rate is the unweighted average of all the lines in the tariff schedule in which bound rates have been set. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Manufactured products are commodities classified in SITC revision 3Share of tariff lines with international peaks is the share of lines in the tariff schedule with tariff rates that exceed 15 percent. It provides an indication of how selectively tariffs are applied. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SISimple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International TradeShare of tariff lines with specific rates is the share of lines in the tariff schedule that are set on a per unit basis or that combine ad valorem and per unit rates. It shows the extent to which countries use tariffs based on physical quantities or other, non-ad valorem measures. Manufactured products are commodities cla

Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International TradBinding coverage is the percentage of product lines with an agreed bound rate. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable.Simple mean bound rate is the unweighted average of all the lines in the tariff schedule in which bound rates have been set. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable.Share of tariff lines with international peaks is the share of lines in the tariff schedule with tariff rates that exceed 15 percent. It provides an indication of how selectively tariffs are applied.Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITSimple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Share of tariff lines with specific rates is the share of lines in the tariff schedule that are set on a per unit basis or that combine ad valorem and per unit rates. It shows the extent to which countries use tariffs based on physical quantities or other, non-ad valorem measures.Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International TraBinding coverage is the percentage of product lines with an agreed bound rate. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).Simple mean bound rate is the unweighted average of all the lines in the tariff schedule in which bound rates have been set. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Primary products are commodities classified in SITC revision 3 sectioShare of tariff lines with international peaks is the share of lines in the tariff schedule with tariff rates that exceed 15 percent. It provides an indication of how selectively tariffs are applied. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITSimple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Share of tariff lines with specific rates is the share of lines in the tariff schedule that are set on a per unit basis or that combine ad valorem and per unit rates. It shows the extent to which countries use tariffs based on physical quantities or other, non-ad valorem measures. Primary products are commodities classifiedWeighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International TradeAgricultural raw materials comprise SITC section 2 (crude materials except fuels) excluding divisions 22, 27 (crude fertilizers and minerals excluding coal, petroleum, and precious stones), and 28 (metalliferous ores and scrap).Food comprises the commodities in SITC sections 0 (food and live animals), 1 (beverages and tobacco), and 4 (animal and vegetable oils and fats) and SITC division 22 (oil seeds, oil nuts, and oil kernels).Fuels comprise the commodities in SITC section 3 (mineral fuels).Information and communication technology goods imports include telecommunications, audio and video, computer and related equipment; electronic components; and other information and communication technology goods. Software is excluded.Insurance and financial services cover freight insurance on goods imported and other direct insurance such as life insurance; financial intermediation services such as commissions, foreign exchange transactions, and brokerage services; and auxiliary services such as financial market operational and regulatory service

Import volume indexes are derived from UNCTAD's volume index series and are the ratio of the import value indexes to the corresponding unit value indexes. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD’s estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, interna tional and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year’s trade values as weights. For economies for which UNCTAD does not publish data, the import volume indexes (lines 73) in the IMF's International Financial Statistics are used.

(SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's

Page 216: POL Country MetaData en EXCEL

Manufactures comprise the commodities in SITC sections 5 (chemicals), 6 (basic manufactures), 7 (machinery and transport equipment), and 8 (miscellaneous manufactured goods), excluding division 68 (nonferrous metals).Ores and metals comprise commodities in SITC sections 27 (crude fertilizer, minerals nes); 28 (metalliferous ores, scrap); and 68 (non-ferrous metals).Merchandise imports from economies in the Arab World are the sum of merchandise imports by the reporting economy from economies in the Arab World. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner counMerchandise imports show the c.i.f. value of goods received from the rest of the world valued in current U.S. dollars.Merchandise imports from high-income economies are the sum of merchandise imports by the reporting economy from high-income economies according to the World Bank classification of economies as of July 1, 2009. Data are expressed as a percentage of total merchandise imports by the economy. Data are computMerchandise imports from developing economies outside region are the sum of merchandise imports by the reporting economy from other developing economies in other World Bank regions according to the World Bank classification of economies as of July 1, 2009. Data are expressed as a percentage of total merchMerchandise imports from developing economies in East Asia and Pacific are the sum of merchandise imports by the reporting economy from developing economies in the East Asia and Pacific region according to the World Bank classification of economies as of July 1, 2009. Data are expressed as a percentage of toMerchandise imports from developing economies in Europe and Central Asia are the sum of merchandise imports by the reporting economy from developing economies in the Europe and Central Asia region according to the World Bank classification of economies as of July 1, 2009. Data are expressed as a percentagMerchandise imports from developing economies in Latin America and the Caribbean are the sum of merchandise imports by the reporting economy from developing economies in the Latin America and the Caribbean region according to the World Bank classification of economies as of July 1, 2009. Data are expresseMerchandise imports from developing economies in Middle East and North Africa are the sum of merchandise imports by the reporting economy from developing economies in the Middle East and North Africa region according to the World Bank classification of economies as of July 1, 2009. Data are expressed as a Merchandise imports from developing economies in South Asia are the sum of merchandise imports by the reporting economy from developing economies in the South Asia region according to the World Bank classification of economies as of July 1, 2009. Data are expressed as a percentage of total merchandise impoMerchandise imports from developing economies in Sub-Saharan Africa are the sum of merchandise imports by the reporting economy from developing economies in the Sub-Saharan Africa region according to the World Bank classification of economies as of July 1, 2009. Data are expressed as a percentage of totalMerchandise imports by the reporting economy residuals are the total merchandise imports by the reporting economy from the rest of the world as reported in the IMF's Direction of trade database, less the sum of imports by the reporting economy from high-, low-, and middle-income economies according to the WorMerchandise imports by the reporting economy are the total merchandise imports by the reporting economy from the rest of the world, as reported in the IMF's Direction of trade database. Data are in current U.S. dollars.Merchandise imports from developing economies within region are the sum of merchandise imports by the reporting economy from other developing economies in the same World Bank region according to the World Bank classification of economies as of July 1, 2009. Data are as a percentage of total merchandise impImport value indexes are the current value of imports (c.i.f.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2000). UNCTAD's import value indexes are reported for most economies. For selected economies for which UNCTAD does not publish data, the import value indexes arComputer, communications and other services (% of commercial service imports) include such activities as international telecommunications, and postal and courier services; computer data; news-related service transactions between residents and nonresidents; construction services; royalties and license fees; miscellaCommercial service imports are total service imports minus imports of government services not included elsewhere. International transactions in services are defined by the IMF's Balance of Payments Manual (1993) as the economic output of intangible commodities that may be produced, transferred, and consumTransport services (% of commercial service imports) covers all transport services (sea, air, land, internal waterway, space, and pipeline) performed by residents of one economy for those of another and involving the carriage of passengers, movement of goods (freight), rental of carriers with crew, and related support andTravel services (% of commercial service imports) covers goods and services acquired from an economy by travelers in that economy for their own use during visits of less than one year for business or personal purposes. Travel services include the goods and services consumed by travelers, such as lodging, meals, an

Agricultural raw materials comprise SITC section 2 (crude materials except fuels) excluding divisions 22, 27 (crude fertilizers and minerals excluding coal, petroleum, and precious stones), and 28 (metalliferous ores and scrap).Food comprises the commodities in SITC sections 0 (food and live animals), 1 (beverages and tobacco), and 4 (animal and vegetable oils and fats) and SITC division 22 (oil seeds, oil nuts, and oil kernels).Fuels comprise SITC section 3 (mineral fuels).Information and communication technology goods exports include telecommunications, audio and video, computer and related equipment; electronic components; and other information and communication technology goods. Software is excluded.Insurance and financial services cover freight insurance on goods exported and other direct insurance such as life insurance; financial intermediation services such as commissions, foreign exchange transactions, and brokerage services; and auxiliary services such as financial market operational and regulatory serviceManufactures comprise commodities in SITC sections 5 (chemicals), 6 (basic manufactures), 7 (machinery and transport equipment), and 8 (miscellaneous manufactured goods), excluding division 68 (non-ferrous metals).Ores and metals comprise the commodities in SITC sections 27 (crude fertilizer, minerals nes); 28 (metalliferous ores, scrap); and 68 (non-ferrous metals).Merchandise exports to economies in the Arab World are the sum of merchandise exports by the reporting economy to economies in the Arab World. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country grMerchandise exports show the f.o.b. value of goods provided to the rest of the world valued in current U.S. dollars.Merchandise exports to high-income economies are the sum of merchandise exports from the reporting economy to high-income economies according to the World Bank classification of economies as of July 1, 2009. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed Merchandise exports to developing economies outside region are the sum of merchandise exports from the reporting economy to other developing economies in other World Bank regions according to the World Bank classification of economies as of July 1, 2009. Data are expressed as a percentage of total merchandMerchandise exports to developing economies in East Asia and Pacific are the sum of merchandise exports from the reporting economy to developing economies in the East Asia and Pacific region according to World Bank classification of economies as of July 1, 2009. Data are as a percentage of total merchandise eMerchandise exports to developing economies in Europe and Central Asia are the sum of merchandise exports from the reporting economy to developing economies in the Europe and Central Asia region according to World Bank classification of economies as of July 1, 2009. Data are as a percentage of total merchanMerchandise exports to developing economies in Latin America and the Caribbean are the sum of merchandise exports from the reporting economy to developing economies in the Latin America and the Caribbean region according to World Bank classification of economies as of July 1, 2009. Data are as a percentageMerchandise exports to developing economies in Middle East and North Africa are the sum of merchandise exports from the reporting economy to developing economies in the Middle East and North Africa region according to World Bank classification of economies as of July 1, 2009. Data are as a percentage of toMerchandise exports to developing economies in South Asia are the sum of merchandise exports from the reporting economy to developing economies in the South Asia region according to World Bank classification of economies as of July 1, 2009. Data are as a percentage of total merchandise exports by the economMerchandise exports to developing economies in Sub-Saharan Africa are the sum of merchandise exports from the reporting economy to developing economies in the Sub-Saharan Africa region according to World Bank classification of economies as of July 1, 2009. Data are as a percentage of total merchandise expoMerchandise exports by the reporting economy residuals are the total merchandise exports by the reporting economy to the rest of the world as reported in the IMF's Direction of trade database, less the sum of exports by the reporting economy to high-, low-, and middle-income economies according to the World BaMerchandise exports by the reporting economy are the total merchandise exports by the reporting economy to the rest of the world, as reported in the IMF's Direction of trade database. Data are in current US$.Merchandise exports to developing economies within region are the sum of merchandise exports from the reporting economy to other developing economies in the same World Bank region as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the pExport values are the current value of exports (f.o.b.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2000). UNCTAD's export value indexes are reported for most economies. For selected economies for which UNCTAD does not publish data, the export value indexes are derivComputer, communications and other services (% of commercial service exports) include such activities as international telecommunications, and postal and courier services; computer data; news-related service transactions between residents and nonresidents; construction services; royalties and license fees; miscellaCommercial service exports are total service exports minus exports of government services not included elsewhere. International transactions in services are defined by the IMF's Balance of Payments Manual (1993) as the economic output of intangible commodities that may be produced, transferred, and consumeHigh-technology exports are products with high R&D intensity, such as in aerospace, computers, pharmaceuticals, scientific instruments, and electrical machinery. Data are in current U.S. dollars.High-technology exports are products with high R&D intensity, such as in aerospace, computers, pharmaceuticals, scientific instruments, and electrical machinery.Transport services (% of commercial service exports) covers all transport services (sea, air, land, internal waterway, space, and pipeline) performed by residents of one economy for those of another and involving the carriage of passengers, movement of goods (freight), rental of carriers with crew, and related support andTravel services (% of commercial service exports) covers goods and services acquired from an economy by travelers in that economy for their own use during visits of less than one year for business or personal purposes. Travel services include the goods and services consumed by travelers, such as lodging and mealsBattle-related deaths are deaths in battle-related conflicts between warring parties in the conflict dyad (two conflict units that are parties to a conflict). Typically, battle-related deaths occur in warfare involving the armed forces of the warring parties. This includes traditional battlefield fighting, guerrilla activities, and Internally displaced persons are people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural Internally displaced persons are people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional kIntentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional kIntentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional kIntentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional kPresence of peacebuilders and peacekeepers are active in peacebuilding and peacekeeping. Peacebuilding reduces the risk of lapsing or relapsing into conflict by strengthening national capacities at all levels of for conflict management, and to lay the foundation for sustainable peace and development. Peacekeepers

Net barter terms of trade index is calculated as the percentage ratio of the export unit value indexes to the import unit value indexes, measured relative to the base year 2000. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD’s estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, interna tional and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year’s trade values as weights.Export volume indexes are derived from UNCTAD's volume index series and are the ratio of the export value indexes to the corresponding unit value indexes. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD’s estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, interna tional and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year’s trade values as weights. For economies for which UNCTAD does not publish data, the export volume indexes (lines 72) in the IMF's International Financial Statistics are used.

Page 217: POL Country MetaData en EXCEL

SOURCE_ORGANIZATIONFood and Agriculture Organization, electronic files and web site.Food and Agriculture Organization, electronic files and web site.Food and Agriculture Organization, electronic files and web site.Food and Agriculture Organization, electronic files and web site.Food and Agriculture Organization, electronic files and web site.Food and Agriculture Organization, electronic files and web site.Food and Agriculture Organization, electronic files and web site.Food and Agriculture Organization, electronic files and web site.Food and Agriculture Organization, electronic files and web site.Food and Agriculture Organization, electronic files and web site.Center for International Earth Science Information Network (CIESIN), Place II dataset.Food and Agriculture Organization, electronic files and web site.Food and Agriculture Organization, electronic files and web site.Food and Agriculture Organization, electronic files and web site.Food and Agriculture Organization, electronic files and web site.Food and Agriculture Organization, electronic files and web site.Food and Agriculture Organization, electronic files and web site.Food and Agriculture Organization, electronic files and web site.Food and Agriculture Organization, electronic files and web site.Food and Agriculture Organization, electronic files and web site.Food and Agriculture Organization, electronic files and web site.Food and Agriculture Organization, electronic files and web site.Food and Agriculture Organization, electronic files and web site.International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, International Financial Statistics and Balance of Payments databases, World Bank, Global Development Finance, and World Bank and OECD GDP estimates.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.World Bank staff estimates based on IMF balance of payments data.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

Page 218: POL Country MetaData en EXCEL

International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments database, supplemented by data from the United Nations Conference on Trade and Development and official national sources.International Monetary Fund, International Financial Statistics and Balance of Payments databases, World Bank, Global Development Finance, and World Bank and OECD GDP estimates.International Monetary Fund, Balance of Payments database, and World Bank, Global Development Finance.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.World Bank staff estimates based on IMF balance of payments data.World Bank staff estimates based on IMF balance of payments data, and World Bank and OECD GDP estimates.Dealogic, and World Bank GDP estimates.Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data.Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data.Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data.Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data.Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data.Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data.Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.

Page 219: POL Country MetaData en EXCEL

World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank gross capital formation estimates are used for the denominator.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank GNI estimates are used for the denominator.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank imports of good and services estimates are used for the denominator.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank population estimates are used for the denominator.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. IMF central government expense estimates are used for the denominator.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank, Global Development Finance.World Bank.World Bank, Global Development Finance.World Bank, Global Development Finance.Derived from World Bank national accounts files and Food and Agriculture Organization, Production Yearbook and data files.1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the same methodology as the initial study.1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the same methodology as the initial study.1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the same methodology as the initial study.1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the same methodology as the initial study.1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the same methodology as the initial study.1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the same methodology as the initial study.1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the same methodology as the initial study.1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the same methodology as the initial study.1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the same methodology as the initial study.

Page 220: POL Country MetaData en EXCEL

World Bank and UNIDO's industry database.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Energy Agency, World Energy Outlook 2010.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries and Energy Statistics of OECD Countries, and United Nations, Energy Statistics Yearbook.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries and Energy Statistics of OECD Countries, and United Nations, Energy Statistics Yearbook.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD CountriesIEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD CountriesIEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD CountriesInternational Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), and World Bank PPP data.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), and World Bank PPP data.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp) and United Nations, Energy Statistics Yearbook.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), and World Bank PPP data.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries and Energy Statistics of OECD Countries.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries and Energy Statistics of OECD Countries.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

Page 221: POL Country MetaData en EXCEL

International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).Kiren Dev Pandey, David Wheeler, Bart Ostro, Uwe Deichmann, Kirk Hamilton, and Katherine Bolt. "Ambient Particulate Matter Concentrations in Residential and Pollution Hotspot Areas of World Cities: New Estimates Based on the Global Model of Ambient Particulates (GMAPS)," World Bank, Development Research Group and Environment Department (2006).International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).United Nations Environmental Program and the World Conservation Monitoring Centre, and International Union for Conservation of Nature, Red List of Threatened Species.(UNISDR, 2009-2011 Progress Reports, http://www.preventionweb.net/english/hyogo).United Nations Framework Convention on Climate Change.EM-DAT: The OFDA/CRED International Disaster Database: www.emdat.be, Université Catholique de Louvain, Brussels (Belgium), World Bank.IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion.IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion.IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion.IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion.IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion.Froese, R. and Pauly, D. (eds). 2008. FishBase database, www.fishbase.org.United Nations Environmental Program and the World Conservation Monitoring Centre, and International Union for Conservation of Nature, Red List of Threatened Species.United Nations Environmental Program and the World Conservation Monitoring Centre, and International Union for Conservation of Nature, Red List of Threatened Species.Food and Agriculture Organization and World Bank population estimates.Center for International Earth Science Information Network (CIESIN), Place II dataset.United Nations, World Urbanization Prospects.United Nations, World Urbanization Prospects.United Nations, World Urbanization Prospects.United Nations, World Urbanization Prospects.German Agency for Technical Cooperation (GTZ).German Agency for Technical Cooperation (GTZ).Kiran Dev Pandey, Piet Buys, Ken Chomitz, and David Wheeler's, "Biodiversity Conservation Indicators: New Tools for Priority Setting at the Global Environment Facility" (2006).Food and Agriculture Organization, AQUASTAT data, and World Bank and OECD GDP estimates.Food and Agriculture Organization, AQUASTAT data.Food and Agriculture Organization, AQUASTAT data.Food and Agriculture Organization, AQUASTAT data.Food and Agriculture Organization, AQUASTAT data.Food and Agriculture Organization, AQUASTAT data.Food and Agriculture Organization, AQUASTAT data.Food and Agriculture Organization, AQUASTAT data.United Nations Environmental Program and the World Conservation Monitoring Centre, as compiled by the World Resources Institute, based on data from national authorities, national legislation and international agreements.United Nations Environmental Program and the World Conservation Monitoring Centre, as compiled by the World Resources Institute, based on data from national authorities, national legislation and international agreements.Consultative Group to Assist the Poor and the World Bank Group’s "Financial Access 2010."Consultative Group to Assist the Poor and the World Bank Group’s "Financial Access 2010."Consultative Group to Assist the Poor and the World Bank Group’s "Financial Access 2010."Consultative Group to Assist the Poor and the World Bank Group’s "Financial Access 2010."International Monetary Fund, Global Financial Stability Report.Consultative Group to Assist the Poor and the World Bank Group’s "Financial Access 2010."Consultative Group to Assist the Poor and the World Bank Group’s "Financial Access 2010."Consultative Group to Assist the Poor and the World Bank Group’s "Financial Access 2010."Consultative Group to Assist the Poor and the World Bank Group’s "Financial Access 2010."Consultative Group to Assist the Poor and the World Bank Group’s "Financial Access 2010."International Monetary Fund, Global Financial Stability Report.Consultative Group to Assist the Poor and the World Bank Group’s "Financial Access 2010."Consultative Group to Assist the Poor and the World Bank Group’s "Financial Access 2010."Consultative Group to Assist the Poor and the World Bank Group’s "Financial Access 2010."Consultative Group to Assist the Poor and the World Bank Group’s "Financial Access 2010."Consultative Group to Assist the Poor and the World Bank Group’s "Financial Access 2010."International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files.World Bank, Global Development Finance.International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files.

Page 222: POL Country MetaData en EXCEL

International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files.International Monetary Fund, International Financial Statistics and data files using World Bank data on the GDP deflator.International Monetary Fund, International Financial Statistics database.International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD value added estimates.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.

Page 223: POL Country MetaData en EXCEL

International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.International Monetary Fund, Government Finance Statistics Yearbook and data files.International Monetary Fund, Government Finance Statistics Yearbook and data files.World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank's Entrepreneurship Survey and database (http://econ.worldbank.org/research/entrepreneurship).World Bank's Entrepreneurship Survey and database (http://econ.worldbank.org/research/entrepreneurship).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).

Page 224: POL Country MetaData en EXCEL

World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Doing Business project (http://www.doingbusiness.org/).World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).National Science Foundation, Science and Engineering Indicators.World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.World Bank Group, CPIA database (http://www.worldbank.org/ida).World Bank Group, CPIA database (http://www.worldbank.org/ida).World Bank Group, CPIA database (http://www.worldbank.org/ida).World Bank Group, CPIA database (http://www.worldbank.org/ida).World Bank Group, CPIA database (http://www.worldbank.org/ida).World Bank Group, CPIA database (http://www.worldbank.org/ida).World Bank Group, CPIA database (http://www.worldbank.org/ida).World Bank Group, CPIA database (http://www.worldbank.org/ida).World Bank Group, CPIA database (http://www.worldbank.org/ida).World Bank Group, CPIA database (http://www.worldbank.org/ida).World Bank Group, CPIA database (http://www.worldbank.org/ida).World Bank Group, CPIA database (http://www.worldbank.org/ida).World Bank Group, CPIA database (http://www.worldbank.org/ida).World Bank Group, CPIA database (http://www.worldbank.org/ida).World Bank Group, CPIA database (http://www.worldbank.org/ida).World Bank Group, CPIA database (http://www.worldbank.org/ida).World Bank Group, CPIA database (http://www.worldbank.org/ida).World Bank Group, CPIA database (http://www.worldbank.org/ida).World Bank Group, CPIA database (http://www.worldbank.org/ida).World Bank Group, CPIA database (http://www.worldbank.org/ida).World Bank Group, CPIA database (http://www.worldbank.org/ida).World Economic Forum, Global Competiveness Report and data files.World Economic Forum, Global Competiveness Report.International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates.International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates.International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates.International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Road Federation, World Road Statistics and electronic files, except where noted.International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Road Federation, World Road Statistics and electronic files, except where noted.International Road Federation, World Road Statistics and electronic files, except where noted.International Road Federation, World Road Statistics and electronic files, except where noted.International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).International Road Federation, World Road Statistics and electronic files, except where noted.World Bank, Transportation, Water, and Information and Communications Technologies Department, Transport Division.World Bank, Transportation, Water, and Information and Communications Technologies Department, Transport Division.World Bank, Transportation, Water, and Information and Communications Technologies Department, Transport Division.

Page 225: POL Country MetaData en EXCEL

United Nations Conference on Trade and Development, Review of Maritime Transport 2010.Containerisation International, Containerisation International Yearbook.International Road Federation, World Road Statistics and data files.International Road Federation, World Road Statistics and data files.International Road Federation, World Road Statistics and data files.International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.International Telecommunication Union, World Telecommunication/ICT Development Report and database.International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.Netcraft (http://www.netcraft.com/).Netcraft (http://www.netcraft.com/) and World Bank population estimates.International Telecommunication Union, World Telecommunication/ICT Development Report and database.International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.International Institute for Strategic Studies, The Military Balance.International Institute for Strategic Studies, The Military Balance.Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank, International Comparison Program database.World Bank, International Comparison Program database.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.

Page 226: POL Country MetaData en EXCEL

World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.

Page 227: POL Country MetaData en EXCEL

World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank staff estimates using data from the United Nations Statistics Division's Statistical Yearbook, and the UNESCO Institute for Statistics online database.World Bank staff estimates using data from the United Nations Statistics Division's Statistical Yearbook, and the UNESCO Institute for Statistics online database.World Bank staff estimates based on Samuel Fankhauser's "Valuing Climate Change: The Economics of the Greenhouse" (1995).World Bank staff estimates based on Samuel Fankhauser's "Valuing Climate Change: The Economics of the Greenhouse" (1995).World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).World Bank staff estimates using data from the United Nations Statistics Division's National Accounts Statistics.World Bank staff estimates using data from the United Nations Statistics Division's National Accounts Statistics.World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).Kiran D. Pandey and others' "The Human Costs of Air Pollution: New Estimates for Developing Countries" (2006).Kiran D. Pandey and others' "The Human Costs of Air Pollution: New Estimates for Developing Countries" (2006).World Bank staff estimates.World Bank national accounts data files.World Bank staff estimates.World Bank staff estimates.World Bank staff estimates.World Bank staff estimates.World Bank staff estimates.World Bank staff estimates. The conceptual underpinnings of the savings measure appear in Hamilton and Clemens' "Genuine Savings Rates in Developing Countries" (1999).World Bank staff estimates. The conceptual underpinnings of the savings measure appear in Hamilton and Clemens' "Genuine Savings Rates in Developing Countries" (1999).World Bank staff estimates. The conceptual underpinnings of the savings measure appear in Hamilton and Clemens' "Genuine Savings Rates in Developing Countries" (1999).World Bank staff estimates. The conceptual underpinnings of the savings measure appear in Hamilton and Clemens' "Genuine Savings Rates in Developing Countries" (1999).World Bank national accounts data, and OECD National Accounts data files.Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011).World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011).Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011).World Bank national accounts data, and OECD National Accounts data files.

Page 228: POL Country MetaData en EXCEL

World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank, International Comparison Program database.World Bank, International Comparison Program database.Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011).World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank, International Comparison Program database.World Bank, International Comparison Program database.Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011).Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011).World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank, International Comparison Program database.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank, International Comparison Program database.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.World Bank national accounts data, and OECD National Accounts data files.International Monetary Fund, International Financial Statistics, supplemented by World Bank staff estimates.International Monetary Fund, International Financial Statistics.World Bank, International Comparison Program database.World Bank, International Comparison Program database.World Bank, International Comparison Program database.International Monetary Fund, International Financial Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.

Page 229: POL Country MetaData en EXCEL

United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization, special data collection for the Education for All Initiative.United Nations Educational, Scientific, and Cultural Organization, special data collection for the Education for All Initiative.United Nations Educational, Scientific, and Cultural Organization, special data collection for the Education for All Initiative.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.

Page 230: POL Country MetaData en EXCEL

United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations, Women's Indicators and Statistics database (www.ipu.org).Demographic and Health Surveys by Macro International.Demographic and Health Surveys by Macro International.UNAIDS and the WHO's Report on the Global AIDS Epidemic.UNAIDS and the WHO's Report on the Global AIDS Epidemic.Demographic and Health Surveys by Macro International, Multiple Indicators Cluster Surveys by UNICEF, Reproductive Health Surveys by U.S. Center for Disease Control, and Family Health Surveys by Pan Arab Project for Family Health. See footnotes for a source.Demographic and Health Surveys by Macro International, Multiple Indicators Cluster Surveys by UNICEF, Reproductive Health Surveys by U.S. Center for Disease Control, and Family Health Surveys by Pan Arab Project for Family Health. See footnotes for a source.Level & Trends in Child Mortality. Report 2011. Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA, UNPD).Level & Trends in Child Mortality. Report 2011. Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA, UNPD).World Health Organization and United Nations Children's Fund, Joint Measurement Programme (JMP) (http://www.wssinfo.org/).World Health Organization and United Nations Children's Fund, Joint Measurement Programme (JMP) (http://www.wssinfo.org/).World Health Organization and United Nations Children's Fund, Joint Measurement Programme (JMP) (http://www.wssinfo.org/).UNAIDS and the WHO's Report on the Global AIDS Epidemic.UNAIDS and the WHO's Report on the Global AIDS Epidemic.UNAIDS and the WHO's Report on the Global AIDS Epidemic.WHO and UNICEF (http://www.who.int/immunization_monitoring/routine/en/).WHO and UNICEF (http://www.who.int/immunization_monitoring/routine/en/).World Health Organization, OECD, supplemented by country data.World Health Organization, OECD, supplemented by country data.World Health Organization, Global Atlas of the Health Workforce. For latest updates and metadata, see http://apps.who.int/globalatlas/.World Health Organization, Global Atlas of the Health Workforce. For latest updates and metadata, see http://apps.who.int/globalatlas/.World Health Organization.UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International.UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International."Maternal Mortality: Estimates Developed by WHO, UNICEF, UNFPA and the World Bank""Maternal Mortality: Estimates Developed by WHO, UNICEF, UNFPA and the World Bank" WHO Report on the Global Tobacco Epidemic. WHO Report on the Global Tobacco Epidemic.World Health Organization and United Nations Children's Fund, Joint Measurement Programme (JMP) (http://www.wssinfo.org/).

Page 231: POL Country MetaData en EXCEL

World Health Organization and United Nations Children's Fund, Joint Measurement Programme (JMP) (http://www.wssinfo.org/).World Health Organization and United Nations Children's Fund, Joint Measurement Programme (JMP) (http://www.wssinfo.org/).UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International.UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International.UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International.UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International.UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International.World Health Organization, Global Database on Child Growth and Malnutrition.Trends in Maternal Mortality: 1990-2008. Estimates Developed by WHO, UNICEF, UNFPA and the World Bank.UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International.UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International.World Health Organization, Global Database on Child Growth and Malnutrition.World Health Organization, Global Database on Child Growth and Malnutrition.World Health Organization, Global Database on Child Growth and Malnutrition.World Health Organization, Global Tuberculosis Control Report.World Health Organization, Global Tuberculosis Control Report.World Health Organization, Global Tuberculosis Control Report.UNICEF, State of the World's Children, Childinfo.WHO, OECD and supplemented by country data.World Health Organization National Health Account database (www.who.int/nha/en) supplemented by country data.World Health Organization National Health Account database (www.who.int/nha/country/en/index.html) supplemented by country data.World Health Organization National Health Account database (www.who.int/nha/en) supplemented by country data.World Health Organization National Health Account database (www.who.int/nha/en) supplemented by country data.World Health Organization National Health Account database (www.who.int/nha/en) supplemented by country data.World Health Organization National Health Account database (www.who.int/nha/en) supplemented by country data.World Health Organization National Health Account database (www.who.int/nha/en) supplemented by country data.World Health Organization National Health Account database (www.who.int/nha/en) supplemented by country data.World Health Organization National Health Account database (www.who.int/nha/en) supplemented by country data.World Health Organization National Health Account database (www.who.int/nha/en) supplemented by country data.World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).Global Poverty Working Group. Data are based on World Bank's country poverty assessments and country Poverty Reduction Strategies.Global Poverty Working Group. Data are based on World Bank's country poverty assessments and country Poverty Reduction Strategies.Global Poverty Working Group. Data are based on World Bank's country poverty assessments and country Poverty Reduction Strategies.Global Poverty Working Group. Data are based on World Bank's country poverty assessments and country Poverty Reduction Strategies.Global Poverty Working Group. Data are based on World Bank's country poverty assessments and country Poverty Reduction Strategies.Global Poverty Working Group. Data are based on World Bank's country poverty assessments and country Poverty Reduction Strategies.Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.

Page 232: POL Country MetaData en EXCEL

ILO Key Indicators of the Labour Market (KILM).ILO Key Indicators of the Labour Market (KILM).ILO Key Indicators of the Labour Market (KILM).International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.International Labour Organization, Key Indicators of the Labour market (KILM).Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.

Page 233: POL Country MetaData en EXCEL

International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, using World Bank population estimates.International Labour Organization, using World Bank population estimates.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.International Labour Organization, Key Indicators of the Labour Market database.Frédéric Docquier, B. Lindsay Lowell, and Abdeslam Marfouk's , "A Gendered Assessment of Highly Skilled Emigration" (2009).United Nations Population Division, World Population Prospects 2008.United Nations High Commissioner for Refugees (UNHCR), Statistical Yearbook and data files, complemented by statistics on Palestinian refugees under the mandate of the UNRWA as published on its website. Data from UNHCR are available online at: www.unhcr.org/statistics/populationdatabase.United Nations High Commissioner for Refugees (UNHCR), Statistical Yearbook and data files, complemented by statistics on Palestinian refugees under the mandate of the UNRWA as published on its website. Data from UNHCR are available online at: www.unhcr.org/statistics/populationdatabase.United Nations Population Division, Trends in Total Migrant Stock: 2008 Revision.United Nations Population Division, Trends in Total Migrant Stock: 2008 Revision.Food and Agriculture Organization (http://www.fao.org/faostat/foodsecurity/index_en.htm).Food and Agriculture Organization, Food Security Statistics (http://www.fao.org/economic/ess/food-security-statistics/en/).United Nations Children's Fund, State of the World's Children.United Nations Children's Fund, State of the World's Children.United Nations Population Division, World Population Prospects.The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm, (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. Human Mortality Database. [ www.mortality.org or www.humanmortality.de].(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm, (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. Human Mortality Database. [ www.mortality.org or www.humanmortality.de].(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables), (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables), (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.Household surveys, including Demographic and Health Surveys by Macro International and Multiple Indicator Cluster Surveys by UNICEF.Level & Trends in Child Mortality. Report 2011. Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA, UNPD).(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables), (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, and (5) U.S. Census Bureau: International Database.Derived from male and female life expectancy at birth. Male and female life expectancy source: (1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables), (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, and (5) U.S. Census Bureau: International Database.(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables), (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, and (5) U.S. Census Bureau: International Database.(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, (5) U.S. Census Bureau: International Database, and (6) household surveys conducted by national agencies, Macro International, and the U.S. Centers for Disease Control and Prevention.United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm.United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm.Demographic and Health Surveys by Macro International.Demographic and Health Surveys by Macro International.Demographic and Health Surveys by Macro International.World Bank staff estimates from various sources including census reports, the United Nations Population Division's World Population Prospects, national statistical offices, household surveys conducted by national agencies, and Macro International.World Bank staff estimates from various sources including census reports, the United Nations Population Division's World Population Prospects, national statistical offices, household surveys conducted by national agencies, and Macro International.World Bank staff estimates from various sources including census reports, the United Nations Population Division's World Population Prospects, national statistical offices, household surveys conducted by national agencies, and Macro International.World Bank staff estimates from various sources including census reports, the United Nations Population Division's World Population Prospects, national statistical offices, household surveys conducted by national agencies, and Macro International.World Bank staff estimates from various sources including census reports, the United Nations Population Division's World Population Prospects, national statistical offices, household surveys conducted by national agencies, and Macro International.World Bank staff estimates from various sources including census reports, the United Nations Population Division's World Population Prospects, national statistical offices, household surveys conducted by national agencies, and Macro International.World Bank staff estimates from various sources including census reports, the United Nations Population Division's World Population Prospects, national statistical offices, household surveys conducted by national agencies, and Macro International.World Bank staff estimates from various sources including census reports, the United Nations Population Division's World Population Prospects, national statistical offices, household surveys conducted by national agencies, and Macro International.

Page 234: POL Country MetaData en EXCEL

World Bank staff estimates from various sources including census reports, the United Nations Population Division's World Population Prospects, national statistical offices, household surveys conducted by national agencies, and Macro International.Derived from total population. Population source: (1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, (5) U.S. Census Bureau: International Database, and (6) World bank estimates based on the data from the sources above, household surveys conducted by national agencies, Macro International, the U.S. Centers for Disease Control and Prevention, and refugees statistics from the United Nations High Commissioner for Refugees.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, (5) U.S. Census Bureau: International Database, and (6) World bank estimates based on the data from the sources above, household surveys conducted by national agencies, Macro International, the U.S. Centers for Disease Control and Prevention, and refugees statistics from the United Nations High Commissioner for Refugees.United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm.UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.The data on urban population shares used to estimate rural population come from the United Nations, World Urbanization Prospects. Total population figures are World Bank estimates.World Bank Staff estimates based on United Nations, World Urbanization Prospects. World Bank Staff estimates based on United Nations, World Urbanization Prospects. World Bank Staff estimates based on United Nations, World Urbanization Prospects. World Bank Staff estimates based on United Nations, World Urbanization Prospects. United Nations, World Urbanization Prospects.Household surveys, including Demographic and Health Surveys by Macro International and Multiple Indicator Cluster Surveys by UNICEF.World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, and IMF and World Bank exports estimates.World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, and IMF and World Bank imports estimates.World Trade Organization, and World Bank GDP estimates.United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.United Nations Statistics Division's Commodity Trade (Comtrade) database.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

Page 235: POL Country MetaData en EXCEL

World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Trade Organization.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.United Nations Statistics Division's Commodity Trade (Comtrade) database.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Trade Organization.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.United Nations, Comtrade database.United Nations, Comtrade database.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.International Monetary Fund, Balance of Payments Statistics Yearbook and data files.Uppsala Conflict Data Program, http://www.pcr.uu.se/research/UCDP/.Internal Displacement Monitoring Centre.Internal Displacement Monitoring Centre.UN Office on Drugs and Crime's International Homicide Statistics database.UN Office on Drugs and Crime's International Homicide Statistics database.UN Office on Drugs and Crime's International Homicide Statistics database.UN Office on Drugs and Crime's International Homicide Statistics database.UN Department of Peacekeeping Operations, http://www.un.org/en/peacekeeping/.

Page 236: POL Country MetaData en EXCEL

Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.

Page 237: POL Country MetaData en EXCEL

Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.

Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank gross capital formation estimates are used for the denominator.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank GNI estimates are used for the denominator.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank imports of good and services estimates are used for the denominator.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. World Bank population estimates are used for the denominator.Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline. IMF central government expense estimates are used for the denominator.

Page 238: POL Country MetaData en EXCEL

Kiren Dev Pandey, David Wheeler, Bart Ostro, Uwe Deichmann, Kirk Hamilton, and Katherine Bolt. "Ambient Particulate Matter Concentrations in Residential and Pollution Hotspot Areas of World Cities: New Estimates Based on the Global Model of Ambient Particulates (GMAPS)," World Bank, Development Research Group and Environment Department (2006).

Page 239: POL Country MetaData en EXCEL

World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/jsp/index.jsp).

Page 240: POL Country MetaData en EXCEL

(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm, (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. Human Mortality Database. [ www.mortality.org or www.humanmortality.de].(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm, (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. Human Mortality Database. [ www.mortality.org or www.humanmortality.de].(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables), (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables), (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.

(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables), (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, and (5) U.S. Census Bureau: International Database.Derived from male and female life expectancy at birth. Male and female life expectancy source: (1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables), (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, and (5) U.S. Census Bureau: International Database.(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables), (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, and (5) U.S. Census Bureau: International Database.(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, (5) U.S. Census Bureau: International Database, and (6) household surveys conducted by national agencies, Macro International, and the U.S. Centers for Disease Control and Prevention.

Page 241: POL Country MetaData en EXCEL

Derived from total population. Population source: (1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, (5) U.S. Census Bureau: International Database, and (6) World bank estimates based on the data from the sources above, household surveys conducted by national agencies, Macro International, the U.S. Centers for Disease Control and Prevention, and refugees statistics from the United Nations High Commissioner for Refugees.

(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, (5) U.S. Census Bureau: International Database, and (6) World bank estimates based on the data from the sources above, household surveys conducted by national agencies, Macro International, the U.S. Centers for Disease Control and Prevention, and refugees statistics from the United Nations High Commissioner for Refugees.

World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.

World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.

World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.

World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.

World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.

World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.

Page 242: POL Country MetaData en EXCEL

(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm, (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. Human Mortality Database. [ www.mortality.org or www.humanmortality.de].(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm, (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. Human Mortality Database. [ www.mortality.org or www.humanmortality.de].(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables), (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables), (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.

(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables), (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, and (5) U.S. Census Bureau: International Database.Derived from male and female life expectancy at birth. Male and female life expectancy source: (1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables), (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, and (5) U.S. Census Bureau: International Database.(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables), (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, and (5) U.S. Census Bureau: International Database.(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, (5) U.S. Census Bureau: International Database, and (6) household surveys conducted by national agencies, Macro International, and the U.S. Centers for Disease Control and Prevention.

Page 243: POL Country MetaData en EXCEL

Derived from total population. Population source: (1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, (5) U.S. Census Bureau: International Database, and (6) World bank estimates based on the data from the sources above, household surveys conducted by national agencies, Macro International, the U.S. Centers for Disease Control and Prevention, and refugees statistics from the United Nations High Commissioner for Refugees.

(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, (5) U.S. Census Bureau: International Database, and (6) World bank estimates based on the data from the sources above, household surveys conducted by national agencies, Macro International, the U.S. Centers for Disease Control and Prevention, and refugees statistics from the United Nations High Commissioner for Refugees.

Page 244: POL Country MetaData en EXCEL

(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables), (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables), (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.

Derived from male and female life expectancy at birth. Male and female life expectancy source: (1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables), (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, and (5) U.S. Census Bureau: International Database.

(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, (5) U.S. Census Bureau: International Database, and (6) household surveys conducted by national agencies, Macro International, and the U.S. Centers for Disease Control and Prevention.

Page 245: POL Country MetaData en EXCEL

Derived from total population. Population source: (1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, (5) U.S. Census Bureau: International Database, and (6) World bank estimates based on the data from the sources above, household surveys conducted by national agencies, Macro International, the U.S. Centers for Disease Control and Prevention, and refugees statistics from the United Nations High Commissioner for Refugees.

(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, (5) U.S. Census Bureau: International Database, and (6) World bank estimates based on the data from the sources above, household surveys conducted by national agencies, Macro International, the U.S. Centers for Disease Control and Prevention, and refugees statistics from the United Nations High Commissioner for Refugees.

Page 246: POL Country MetaData en EXCEL

(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, (5) U.S. Census Bureau: International Database, and (6) household surveys conducted by national agencies, Macro International, and the U.S. Centers for Disease Control and Prevention.

Page 247: POL Country MetaData en EXCEL

Derived from total population. Population source: (1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, (5) U.S. Census Bureau: International Database, and (6) World bank estimates based on the data from the sources above, household surveys conducted by national agencies, Macro International, the U.S. Centers for Disease Control and Prevention, and refugees statistics from the United Nations High Commissioner for Refugees.

(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, (5) U.S. Census Bureau: International Database, and (6) World bank estimates based on the data from the sources above, household surveys conducted by national agencies, Macro International, the U.S. Centers for Disease Control and Prevention, and refugees statistics from the United Nations High Commissioner for Refugees.

Page 248: POL Country MetaData en EXCEL

Derived from total population. Population source: (1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, (5) U.S. Census Bureau: International Database, and (6) World bank estimates based on the data from the sources above, household surveys conducted by national agencies, Macro International, the U.S. Centers for Disease Control and Prevention, and refugees statistics from the United Nations High Commissioner for Refugees.

(1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, (5) U.S. Census Bureau: International Database, and (6) World bank estimates based on the data from the sources above, household surveys conducted by national agencies, Macro International, the U.S. Centers for Disease Control and Prevention, and refugees statistics from the United Nations High Commissioner for Refugees.

Page 249: POL Country MetaData en EXCEL

Derived from total population. Population source: (1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/unpd/wpp2008/index.htm. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) Secretariat of the Pacific Community: Statistics and Demography Programme, (5) U.S. Census Bureau: International Database, and (6) World bank estimates based on the data from the sources above, household surveys conducted by national agencies, Macro International, the U.S. Centers for Disease Control and Prevention, and refugees statistics from the United Nations High Commissioner for Refugees.