STATISTICAL BULLETIN - undp.org · The bulletin includes social, demographic and economic statistics disaggregated by county, urban and rural, age and sex in most instances. LISGIS

REPUBLIC OF LIBERIALIBERIA INSTITUTE

OF STATISTICS &

GEO-INFORMATION SERVICES

STATISTICALBULLETINSTATISTICALBULLETIN

VOL. 3 NO. 01

MONROVIA, LIBERIA, DECEMBER 2011

STATISTICAL

BULLETIN

REPUBLIC OF LIBERIALIBERIA INSTITUTE

OF STATISTICS &

GEO-INFORMATION SERVICES

VOLUME THREE

NO. 01

MONROVIA, LIBERIA, DECEMBER 2011.

Statistical Bulletin, Monrovia, Liberia. December 2011 1

Statement of Publication

The Liberia Bulletin of Statistics presents is an official bi annual publication of the Liberia Institute of Statistics

and Geo information Services (LISGIS) and presents statistics of the overall performance of the Liberian political,economic and social environment.

The bulletin includes social, demographic and economic statistics disaggregated by county, urban and rural, ageand sex in most instances. LISGIS Departments of Statistics, Dissemination and National Coordinating Secretariatthrough coordination with members of the National Statistical System have several data which underpins theseofficial statistical releases. To this note, LISGIS welcome request for further information and feedback.Stakeholders’ voice of interest can improve future publications.

This publication is available on LISGIS website, CD – ROM and handy hardcopies. For additional information,clarification or feedbacks please contact the following:

Dr. T. Edward Liberty Mr. Johnson KeiDirector General, Deputy Director GeneralLISGIS Department of Information & CoordinationCapitol Hill, Monrovia LISGISEmail: [email protected] Capitol Hill, [email protected] Email: [email protected]: +231 – (0) 6519628 Tel: +231 – (0) 6518885

Yusuff Sarnoh Rudi VintonPrincipal Analyst Research OfficerDepartment of Dissemination Department of DisseminationLISGIS LISGISCapitol Hill, Monrovia Capitol Hill, MonroviaEmail: '[email protected] Email: [email protected]: +231 – (0) 6626640 Tel: +231 6411122


Acknowledgement

The 2011 Liberia Bulletin of Statistics was prepared under the overall umbrella of the 18 members Ministries and

Agencies of the National Statistical System (NSS) coordinated by LISGIS through it secretariat for coordinating TheNational Strategy for the Development of Statistics. LISGIS Department of Dissemination through its PrincipalAnalyst Yusuff Sarnoh and Research Officer Rudi Vinton and UNDP technical representation through ResearchAssociate Wellington Jah and MDGs and Development Information Specialist Abdulai Jalloh coordinated thetechnical compilation of the Liberia Bulletin of Statistics – 2011.

It was prepared under the overall guidance of Dr. T. Edward Liberty, Director General, LISGIS, Mr. Francis Wreh,Deputy Director of Statistics and Mr. Johnson Q. Kei, Deputy Director, Department of Dissemination. The jointNSDS working team validated the data.

We acknowledge the overall materials and logistical support provided by UNDP through it Strategy and Policy Unit.We also recognized the contribution of the African Development Bank through it technical arm Avo Njosa for theadvisory role to this publication.

The NSDS joint working team comprised key staff from various units of statistics across the following line ministriesand agencies:

Ministry of Public Works, Ministry of Finance, Central Bank of Liberia, Ministry of Planning and Economic Affairs,Ministry of Commerce and Industries, Ministry of Education, Ministry of Internal Affairs, Ministry of Labour,Ministry of Transport, Ministry of Health and Social Welfare, Ministry of Agriculture, Bureau of Immigration andNaturalization, Ministry of Gender, Liberia Water and Sewer Corporation, Liberian Refugee Repatriation andResettlement Commission, the University of Liberia and Civil Service Agency.


Table of Content

Foreword ………………………………………………………………………………………………………Acknowledgement ………………………………………………………………………………………..Abbreviations and Acronyms ……………………………………………………………………….Introduction ………………………………………………………………………………………………….General Notes ………………………………………………………………………………………………1.0: Social Demographic Indicators1.1: Population, Surface Area and Density (1984 and 2008)1.2: Population Distribution by County and District

1.2.1: Age group distribution of the population by county and sex, Liberia 20081.3: Labour Force

1.3.1: Labour Force by sex, locality and five year age groups1.3.2: Distribution of the household population by locality, age group, dependency ratio, number ofHouseholds and Average Household size1.3.3: Status in employment (persons aged 15 and over)1.3.4: Labour market indicators: various ratios1.3.5: Employed males aged 15 and above by sex, county and main occupation1.3.6: Employed females aged 15 and above by sex, county and main occupation1.3.7: Employed persons aged 15 and over by sex, county and main occupation both sexes

1.4: Gender Dimension of Population1.4.1: Distribution of household headship by gender, urban rural residence and county1.4.2: Distribution of household headship by gender and house ownership1.4.3: Essential assets deficiency by gender and county1.4.4: Distribution of female and male headed households by household size and place of residence1.4.5: Type of dwelling by gender of household head and county

1.5: Education Statistics1.5.1: Gross enrollment in primary school by county, level, sex and proprietor, 2007/20081.5.2: Gross enrollment in primary school by county, level, sex and proprietor, 2008/20091.5.3: Gross enrollment in junior high school by county, level, sex and proprietor, 2007/20081.5.4: Gross enrollment in junior high school by county, level, sex and proprietor, 2008/20091.5.5: Gross enrollment in senior high school by county, level, sex and proprietor, 2007/20081.5.6: Gross enrollment in senior high school by county, level, sex and proprietor, 2008/2009 1.5.7: Estimates of Primary School Level Net and Gross Enrollment Rates by County and Sex, 2007/20081.5.8: Estimates of junior school level net and gross enrollment rates by county and sex, 2007/20081.5.9: Estimates of senior school level net and gross enrollment rates by county and sex, 2007/20081.5.10: Estimates of primary school level net and gross enrollment rates by county and sex, 2008/20091.5.11: Estimates of junior school level net and gross enrollment rates by county and sex, 2008/20091.5.12: Estimates of senior school level net and gross enrollment rates by county and sex, 2008/20091.5.13: Estimates of primary level net and gross intake rates by county and sex, 2008/20091.5.14: Estimates of junior high level net and gross intake rates by county and sex, 2008/20091.5.15: Estimates of senior high level net and gross intake rates by county and sex, 2008/20091.5.16: Estimates of primary level net and gross completion rates by county and sex, 2008/20091.5.17: Estimates of junior high level net and gross completion rates by county and sex, 2008/2009


1.5.18: Estimates of senior high level net and gross completion by county and sex, 2008/20091.5.19: Distribution of pupil to teacher ratio (PTR) by county and level, 2007 20091.5.20: Enrolment of institutions granting baccalaureate degree by sex, age and classes

1.6: Health statistics1.6.1: Total health facility status by county, 2006 and 20111.6.2: Total health facility status by county, 2006 and 20111.6.3: Health facility by county and type, 2006 and 20101.6.4: Population health worker ratio (per 1,000) by county and by cadre, 20091.6.5: In patient admissions by county, 20101.6:7: Gender breakdown by cadre, 20091.6.6: Selected under –five diseases by county, 2010

2.0 Economic statistics2.1: Liberia sectoral origin of GDP at current prices2.2: Liberia sectoral origin of G.D.P at Constant Price

2.2.1: World outlook/project (GDP % change)2.3.1: Export by HS Code eight digit, product description and FOB value, 20102.3.2: Export by HS Code two digit, all product, FOB Value, 20092.3.3: Export by reference month, 2009 20102.3.4: Export by HS Code, all countries of destination, FOB Value, 20102.3.5: Re export by reference month and value, 20102.3.6: Export by HS Code, all countries of destination, FOB value, 20092.3.7: Export by HS Code two digit, all product, FOB value, 20092.3.8: FOB value of export by countries, 20082.4.1: Import by reference month, 2009 – 20102.4.2: Import by HS Code, all countries of origin, CIF value, 20102.4.3: Import by HS Code, all countries of origin, CIF value, 20092.4.3: Import by HS Code, all countries of origin, CIF value, 20082.4.5: Commodity composition of imports

2.5: External Trade2.6: Harmonized consumer price index (HCPI) by major group2.7: Key Agricultural Production of Liberia3.1: Money Supply & Broad Money

3.2.1: Liberia banking system monetary survey3.2.2: Liberia accounts of the Central Bank3.2.3: Liberia accounts of deposit money banks

3.3: Year on year rate of exchange3.4: Interest Rate of Liberia, 2002 20103.5: External and domestic debt3.6: Year on year rate of inflation, 2002 20114.0: Millennium Development Goals5.0: Transportation and other indicators of Liberia5.1: Number of monthly licenses issued, 20095.2: Number of vehicle registration5.3: Production and consumption performance indicator5.4.: The number of structures affected by fire, their occupants, casualty, injury and estimated losses by month,2007, 2008 and 2010


5.4.1: Number of fire according to dollar loss, by type of property, 20085.4.2: Fire outbreaks according to category by month, 2007 2008

5.5: Public safety accidents and crimes5.6: Communications number of postal mails5.7: GSM mobile operators and subscribers, 2007 20105.7.1: Mobile Phone Usage in Liberia, 2010


Foreword

Timely and reliable statistics are considered essential for evidence based policy or decision making and for

better support to policy implementation, monitoring progress and evaluation of outcomes and impacts ofdevelopment initiatives such as the Poverty Reduction Strategies (PRSs), County Development Agenda (CDA) andthe Millennium Development Goals (MDGs). These initiatives have accordingly resulted in an unprecedentedincrease in demand for statistics as policy makers and other stakeholders seek information to improve on nationaland international developments. Critical to achieve development results is the ability to measure and closelymonitor progress. This is in line with the commitment made by developing countries, including Liberia as will beseen in the coming years, when the country will fully be involved in managing for results.

Lack of data availability continues to be one of the major challenges to successful implementation of developmentprograms as monitoring becomes skewed while results had been in most instances far from actuality. It is expectedthat this second publication will respond to data needs of stakeholders and other international initiatives aimed atpromoting economic and socio development to which Liberia has committed herself. Measurement makesmanagement easier.

The joint collection and sharing of information among actors in Liberia National Statistical System to ensure thispublication is produced signals the level of progress made in coordinating statistics in Liberia as outlined in theNational Strategy for Development of Statistics (NSDS). The improvement is expected to lead to better monitoringof development results over the coming years as Liberia drives to middle income status.

The first post conflict issue was to set the pace. The level of improvement and coordination within the NSS explainsthe collaboration in producing a National Dissemination Policy upon which this issue and all other future issues willbe principled. We are confident that this year bulletin of statistics and it related databases, from which it isgenerated, will become key repositories for providing development information across Liberia. It is thereforeincumbent upon all data users and providers to act in accordance with the National Data Dissemination Policy toensure Liberia fill data gaps to enhance it positioning nationally and worldwide.

Dr. T. Edward LibertyDirector General,Liberia Institute of Statistics & Geo Information ServicesCapitol HillMonrovia, Liberia


Teaching Staff at specific levelTeachers are defined as persons whose professional activity involves the transmitting of knowledge, attitudes andskills that stipulated in formal curriculum programme to students enrolled in a formal educational institution atspecific level (primary, secondary or tertiary).

Student enrolment at specific levelFirst level student enrolment is the number of pupils enrolled at the primary level of education, considering boys,girls and by county regardless of age. Second level student Enrolment is the total number of students enrolled atthe secondary level of education, considering boys, girls and by county regardless of age.

Pupil Teacher ratioPupil teacher ratio is the average number of pupils (students) per teacher at a specific level of education in a givenschool year.

II. ECONOMIC STATISTICS

This section provides information on national accounts. National accounts data provide essential information on theeconomic performance of in terms of growth and structure of output, investments and savings. National accounts dataare still being published by the World Bank and IMF and by the Central Bank in some instances using the 1993 System ofNational Account (SNA).

Gross Domestic Product (GDP)GDP measures the total final output of goods and services produced by a national economy within a year, excludingprovisions for depreciation. When all the components of GDP are valued at current prices in the market at the time anddoes not takes inflation into account, they are referred to as nominal gross domestic product or GDP at Current prices.The production of goods and services separate from any changes that may occur in the economy during year is GDP atconstant prices or Real GDP

GDP by kind of economic activity (by sector)GDP by sector gives value added by the broad categories of the ISIC classification. Value added is evaluated at basicprices or factor cost or at producer prices depending on the current practice in the country. Data is provided at currentprices and in terms of growth rates over the previous year based on data at constant prices.

Expenditure on GDPGeneral Government final consumption General Government final consumption expenditure comprises all currentexpenditure for purchases of goods and services by all levels of government, as well as capital expenditure on nationaldefense and security.

Private final consumptionHousehold final consumption expenditure represents the final consumption of households and non profit institutions. Itincludes imputed rent for owner occupied dwellings but excludes purchases of dwellings and it also includes anystatistical discrepancy. Gross capital formation consists of gross domestic fixed capital formation plus net changes in thelevel of inventories.Exports and imports of goods and servicesRefer to the value of goods and non factor services provided to or from the rest of the world. They do not includereceipts and payments for factor services such as investment income, interest and labor income. The data are generallyestimated on the basis of foreign trade statistics and are not directly comparable with those from the balance ofpayments.

Harmonized Index of Consumer

General Note

The statistics presented in this publication are as far as possible in accordance with International

recommendations and definitions. In any instances where there is deviation from standards, footnotes areindicated and further explanations are provided.

I. SOCIAL AND DEMOGRAPHIC INDICATORS

Data presented in this section, are derived mainly from the following publications: Liberia National Population andHousing Census (NPHC) 1984 and 2008. Liberia 2010 Labor Force survey1 and the 2010 Liberia school censusreport. Data presented generally relate to the public (official) and private (independent) as well as community andMissions schools (Church own Borden schools). The levels of schooling are categorized into Primary, Junior Highand Secondary schools in most cases. The indicated years refer to the beginning of school year. In most instancesthe statistics are disaggregated by county, major districts, sex and age distribution.

Population by age groupsIn most instances three age groups are used in order to highlight the proportion of active population vis à vis thedependant population. Population aged 15 64 is the number of people who could potentially be economicallyactive, excluding children. This publication group ages by 5 years to strike the effect of age differences by sex andcounty.

Economically active populationThe economically active population comprises all employed and unemployed persons (including those seeking jobsfor the first time). It covers employers, persons working on their own account, salaried employees, wage earners,unpaid family workers, members of producers’ co operatives and members of the armed forces.

Life expectancy, Crude birth and death ratesLife expectancy at birth is the average number of years a newborn infant would live if prevailing patterns ofmortality of the total population at the time of his/her birth were to stay the same throughout his/her life. Crudebirth and death rates represent the number of live births and the number of deaths respectively per 1000 people.Death is the permanent disappearance of all evidence of life at any time after live birth has taken place (postnatalcessation of vital functions without capability of resuscitation). This definition excludes fetal deaths.

Net reproduction rateThe net reproduction rate is the average number of daughters that would be born to a woman if she passedthrough her lifetime conforming to the age specific fertility and mortality rates of a given year. This rate is similarto the gross reproduction rate but takes into account that some women will die before completing theirchildbearing years.

Total fertility rateThe total fertility rate is the average number of children that would be born per woman if she experiences nomortality and were subject to a given set of age specific fertility throughout her lifetime.

1The 2010 Labour Force Survey report is available and use in major publication and pending official launch after the 2011 Presidential election.

The importance to this launch center around the unveiling circumstances and importance of this publication since the establishment of Liberiaas a country.

General Note

The statistics presented in this publication are as far as possible in accordance with International

recommendations and definitions. In any instances where there is deviation from standards, footnotes areindicated and further explanations are provided.

I. SOCIAL AND DEMOGRAPHIC INDICATORS

Data presented in this section, are derived mainly from the following publications: Liberia National Population andHousing Census (NPHC) 1984 and 2008. Liberia 2010 Labor Force survey1 and the 2010 Liberia school censusreport. Data presented generally relate to the public (official) and private (independent) as well as community andMissions schools (Church own Borden schools). The levels of schooling are categorized into Primary, Junior Highand Secondary schools in most cases. The indicated years refer to the beginning of school year. In most instancesthe statistics are disaggregated by county, major districts, sex and age distribution.

Population by age groupsIn most instances three age groups are used in order to highlight the proportion of active population vis à vis thedependant population. Population aged 15 64 is the number of people who could potentially be economicallyactive, excluding children. This publication group ages by 5 years to strike the effect of age differences by sex andcounty.

Economically active populationThe economically active population comprises all employed and unemployed persons (including those seeking jobsfor the first time). It covers employers, persons working on their own account, salaried employees, wage earners,unpaid family workers, members of producers’ co operatives and members of the armed forces.

Life expectancy, Crude birth and death ratesLife expectancy at birth is the average number of years a newborn infant would live if prevailing patterns ofmortality of the total population at the time of his/her birth were to stay the same throughout his/her life. Crudebirth and death rates represent the number of live births and the number of deaths respectively per 1000 people.Death is the permanent disappearance of all evidence of life at any time after live birth has taken place (postnatalcessation of vital functions without capability of resuscitation). This definition excludes fetal deaths.

Net reproduction rateThe net reproduction rate is the average number of daughters that would be born to a woman if she passedthrough her lifetime conforming to the age specific fertility and mortality rates of a given year. This rate is similarto the gross reproduction rate but takes into account that some women will die before completing theirchildbearing years.

Total fertility rateThe total fertility rate is the average number of children that would be born per woman if she experiences nomortality and were subject to a given set of age specific fertility throughout her lifetime.

1The 2010 Labour Force Survey report is available and use in major publication and pending official launch after the 2011 Presidential election.

The importance to this launch center around the unveiling circumstances and importance of this publication since the establishment of Liberiaas a country.


Teaching Staff at specific levelTeachers are defined as persons whose professional activity involves the transmitting of knowledge, attitudes andskills that stipulated in formal curriculum programme to students enrolled in a formal educational institution atspecific level (primary, secondary or tertiary).

Student enrolment at specific levelFirst level student enrolment is the number of pupils enrolled at the primary level of education, considering boys,girls and by county regardless of age. Second level student Enrolment is the total number of students enrolled atthe secondary level of education, considering boys, girls and by county regardless of age.

Pupil Teacher ratioPupil teacher ratio is the average number of pupils (students) per teacher at a specific level of education in a givenschool year.

II. ECONOMIC STATISTICS

This section provides information on national accounts. National accounts data provide essential information on theeconomic performance of in terms of growth and structure of output, investments and savings. National accounts dataare still being published by the World Bank and IMF and by the Central Bank in some instances using the 1993 System ofNational Account (SNA).

Gross Domestic Product (GDP)GDP measures the total final output of goods and services produced by a national economy within a year, excludingprovisions for depreciation. When all the components of GDP are valued at current prices in the market at the time anddoes not takes inflation into account, they are referred to as nominal gross domestic product or GDP at Current prices.The production of goods and services separate from any changes that may occur in the economy during year is GDP atconstant prices or Real GDP

GDP by kind of economic activity (by sector)GDP by sector gives value added by the broad categories of the ISIC classification. Value added is evaluated at basicprices or factor cost or at producer prices depending on the current practice in the country. Data is provided at currentprices and in terms of growth rates over the previous year based on data at constant prices.

Expenditure on GDPGeneral Government final consumption General Government final consumption expenditure comprises all currentexpenditure for purchases of goods and services by all levels of government, as well as capital expenditure on nationaldefense and security.

Private final consumptionHousehold final consumption expenditure represents the final consumption of households and non profit institutions. Itincludes imputed rent for owner occupied dwellings but excludes purchases of dwellings and it also includes anystatistical discrepancy. Gross capital formation consists of gross domestic fixed capital formation plus net changes in thelevel of inventories.Exports and imports of goods and servicesRefer to the value of goods and non factor services provided to or from the rest of the world. They do not includereceipts and payments for factor services such as investment income, interest and labor income. The data are generallyestimated on the basis of foreign trade statistics and are not directly comparable with those from the balance ofpayments.

Harmonized Index of Consumer


A list of the final costs paid by consumers for items in a basket of common goods. The Harmonized Index ofConsumer Prices (HICP) is produced to help measure inflation and to guide government in the formulationmonetary policy. The index tracks the prices of goods such as food and non alcoholic beverages, alcoholicbeverages, tobacco & narcotics, clothing & footwear, housing, water, electricity, gas, other fuel etc taken fromMonrovia prices.

Key Agricultural productionThe agricultural production is based mainly on information from the online database of the Central Bank of Liberia(CBL) and on listings (commodity basis) prepared by the Ministry of Agriculture. The five major crops produced bythe country are obtained by calculating the average yearly production of each crop produced by metric tons.

External TradeInternational trade is the exchange of goods and services between countries. This type of trade gives rise to a world economy, in which prices, or supply and demand, affect and are affected by global events.

III. FINANCIAL AND MONETARY STATISTICS

Data in this section are mainly gathered from the Central Bank of Liberia, Ministry of Finance and the IMF.

Money supplyComprise transferable deposits and currency outside deposit of banks.

Net foreign assetsNet foreign assets equal the sum of foreign assets, less the sum of foreign liabilities of monetary authorities and depositmoney banks.

Exchange ratesExchange rates are expressed in national currency unit (Liberian Dollars) per US dollar unit and are reported as end ofperiod and period averages of market exchange rates and official rates. The market rate is defined as the ratedetermined largely by market forces; and the official rate is determined by the authorities.

InflationMeasured the annual percent changes in Consumer price index. Consumer price index (CPI) shows the cost of acquisitionof a basket of goods and services purchased by the average consumer. Weights for the computation of the indexnumbers are obtained from household budget surveys. CPI data are provided by the national statistical systems, mainlyby the national bureau of statistics or Central banks.

External DebtExternal Debt (total outstanding debt) is the amount, at any given time, of disbursed and outstanding contractualliabilities of residents of a country to non residents to repay principal, with or without interest, or to pay interest with orwithout principal. It is the sum of public and publicly guaranteed short and long term debt, private non guaranteed shortand long term debt and the use of IMF credit.

Domestic creditDomestic credit includes all domestic assets of the banking system. It is the sum of claims on the centralgovernment (net), on official entities and the private sector. Credit to the private sector is shown separately but asa subset of domestic credit.

IV. Millennium Development Goals:In September 2000, leaders from 189 nations agreed on a vision for the future: a world with less poverty, hungerand disease, greater survival prospects for mothers and their infants, better educated children, equal opportunitiesfor women, and a healthier environment; a world in which developed and developing countries worked inpartnership for the betterment of all.

This vision took the shape of eight Millennium Development Goals, which provide a framework for developmentplanning for countries around the world, and time bound targets by which progress can be measured.

The eight MDGs range from halving extreme poverty to halting the spread of HIV/AIDS and providing universalprimary education, all by the target date of 2015. The individual goals are as follows:

o Eradicate extreme poverty and hungero Achieve universal primary educationo Promote gender equality and empower womeno Reduce child mortalityo Improve maternal healtho Combat HIV/AIDS, malaria and other diseaseso Ensure environmental sustainabilityo Develop a global partnership for development.

Liberia MDGs indicators were gathered from LISGIS through various government agencies responsible for ensuringthe goals are achieved.

A list of the final costs paid by consumers for items in a basket of common goods. The Harmonized Index ofConsumer Prices (HICP) is produced to help measure inflation and to guide government in the formulationmonetary policy. The index tracks the prices of goods such as food and non alcoholic beverages, alcoholicbeverages, tobacco & narcotics, clothing & footwear, housing, water, electricity, gas, other fuel etc taken fromMonrovia prices.

Key Agricultural productionThe agricultural production is based mainly on information from the online database of the Central Bank of Liberia(CBL) and on listings (commodity basis) prepared by the Ministry of Agriculture. The five major crops produced bythe country are obtained by calculating the average yearly production of each crop produced by metric tons.

External TradeInternational trade is the exchange of goods and services between countries. This type of trade gives rise to a world economy, in which prices, or supply and demand, affect and are affected by global events.

III. FINANCIAL AND MONETARY STATISTICS

Data in this section are mainly gathered from the Central Bank of Liberia, Ministry of Finance and the IMF.

Money supplyComprise transferable deposits and currency outside deposit of banks.

Net foreign assetsNet foreign assets equal the sum of foreign assets, less the sum of foreign liabilities of monetary authorities and depositmoney banks.

Exchange ratesExchange rates are expressed in national currency unit (Liberian Dollars) per US dollar unit and are reported as end ofperiod and period averages of market exchange rates and official rates. The market rate is defined as the ratedetermined largely by market forces; and the official rate is determined by the authorities.

InflationMeasured the annual percent changes in Consumer price index. Consumer price index (CPI) shows the cost of acquisitionof a basket of goods and services purchased by the average consumer. Weights for the computation of the indexnumbers are obtained from household budget surveys. CPI data are provided by the national statistical systems, mainlyby the national bureau of statistics or Central banks.

External DebtExternal Debt (total outstanding debt) is the amount, at any given time, of disbursed and outstanding contractualliabilities of residents of a country to non residents to repay principal, with or without interest, or to pay interest with orwithout principal. It is the sum of public and publicly guaranteed short and long term debt, private non guaranteed shortand long term debt and the use of IMF credit.

Domestic creditDomestic credit includes all domestic assets of the banking system. It is the sum of claims on the centralgovernment (net), on official entities and the private sector. Credit to the private sector is shown separately but asa subset of domestic credit.


IV. Millennium Development Goals:In September 2000, leaders from 189 nations agreed on a vision for the future: a world with less poverty, hungerand disease, greater survival prospects for mothers and their infants, better educated children, equal opportunitiesfor women, and a healthier environment; a world in which developed and developing countries worked inpartnership for the betterment of all.

This vision took the shape of eight Millennium Development Goals, which provide a framework for developmentplanning for countries around the world, and time bound targets by which progress can be measured.

The eight MDGs range from halving extreme poverty to halting the spread of HIV/AIDS and providing universalprimary education, all by the target date of 2015. The individual goals are as follows:

o Eradicate extreme poverty and hungero Achieve universal primary educationo Promote gender equality and empower womeno Reduce child mortalityo Improve maternal healtho Combat HIV/AIDS, malaria and other diseaseso Ensure environmental sustainabilityo Develop a global partnership for development.

Liberia MDGs indicators were gathered from LISGIS through various government agencies responsible for ensuringthe goals are achieved.


Introduction

The 2011 Liberia Bulletin of Statistics which is the second edition published since Liberia post crises is a result of

joint efforts by various line ministries and agencies, including our international partners who were instrumental inproviding socioeconomic data on various sectors of the country. The Liberia Bulletin of Statistics is meant toprovide key national data that could be used by policy makers, researchers, etc., and to heighten data providers,producers and users about the essentially of statistic to development in Liberia.

Previously, data limitations were immense while ministries and agencies of government in Liberia providedindividual disharmonized data thus lacking credibility for policy making. The current collaboration of the NSDSsector institutions has greatly improved the collection, validation and publishing of national data.

The data in this issue of the Liberia Bulletin of Statistics are arranged mostly for the year 2005 to 2011. Howeversome data are available for periods before the years stipulated. The bulletin is published in one volume consistingof general notes and summary tables.

The summary tables are presented in sections and comprise demographic data such as population size, labor,gender dimension, education and health; economic data including external trade; monetary statistics and inflation;Millennium Development Goals; and finally other data such as transportation, water production andconsumption, fire disaster, accident, crime and communications.


Area1984* 2008 Percent 1984* Percent 2008 Square Mile 1984* 2008

Bomi 66,420 84,119 3.2 2.4 746 89 113Bong 255,813 333,481 12.2 9.6 3,380 76 99Gbarpolu 48,399 83,388 2.3 2.4 3,843 13 22Grand Bassa 159,648 221,693 7.6 6.4 3,017 53 73Grand Cape Mount 79,322 127,076 3.8 3.7 1,846 43 69Grand Gedeh 63,028 125,258 3.0 3.6 4,191 15 30Grand Kru 62,791 57,913 3.0 1.7 1,504 42 39Lofa 199,242 276,863 9.5 8.0 3,854 52 72Margibi 151,792 209,923 7.2 6.0 1,039 146 202Maryland 69,267 135,938 3.3 3.9 887 78 153Montserrado 491,078 1,118,241 23.4 32.2 726 676 1,540Nimba 313,050 462,026 14.9 13.3 4,460 70 104Rivercess 37,849 71,509 1.8 2.1 2,183 17 33River Gee 39,782 66,789 1.9 1.9 1,974 20 34Sinoe 64,147 102,391 3.1 2.9 3,770 17 27NATIONAL TOTAL 2,101,628 3,476,608 100.0 100.0 37,420 56 93Source: LISGIS, 2008 National Population and Housing Census

Grand Cape Mount

1.0: Social Demographic Indicators

Table 1.1: Population, Surface Area and Density (1984 and 2008)Density

CountyPopulation

Page 1 Statistical Bulletin 2011

Area1984* 2008 Percent 1984* Percent 2008 Square Mile 1984* 2008

Bomi 66,420 84,119 3.2 2.4 746 89 113Bong 255,813 333,481 12.2 9.6 3,380 76 99Gbarpolu 48,399 83,388 2.3 2.4 3,843 13 22Grand Bassa 159,648 221,693 7.6 6.4 3,017 53 73Grand Cape Mount 79,322 127,076 3.8 3.7 1,846 43 69Grand Gedeh 63,028 125,258 3.0 3.6 4,191 15 30Grand Kru 62,791 57,913 3.0 1.7 1,504 42 39Lofa 199,242 276,863 9.5 8.0 3,854 52 72Margibi 151,792 209,923 7.2 6.0 1,039 146 202Maryland 69,267 135,938 3.3 3.9 887 78 153Montserrado 491,078 1,118,241 23.4 32.2 726 676 1,540Nimba 313,050 462,026 14.9 13.3 4,460 70 104Rivercess 37,849 71,509 1.8 2.1 2,183 17 33River Gee 39,782 66,789 1.9 1.9 1,974 20 34Sinoe 64,147 102,391 3.1 2.9 3,770 17 27NATIONAL TOTAL 2,101,628 3,476,608 100.0 100.0 37,420 56 93Source: LISGIS, 2008 National Population and Housing Census

Grand Cape Mount

0

200,000

400,000

600,000

800,000

1,000,000

1,200,000

Popu

latio

ns

Counties

Fig. 1 Population Growth by County1984 and 2008

1984*

2008



Male Female TotalLiberia(male & female) 1,739,945 1,736,663 3,476,608

Geographic AreaBomi 42,940 41,179 84,119

Dowein 6,589 6,599 13,188

Klay 11,884 11,513 23,397

Senjeh 15,442 14,585 30,027

Suehn Mecca 9,025 8,482 17,507

Bong 164,859 168,622 333,481

Boinsen 4,041 4,169 8,210

Fuamah 14,630 14,193 28,823

Jorquelleh 38,293 40,836 79,129

Kokoyah 1,829 1,873 3,702

Kpaai 13,044 12,905 25,949

Panta 8,137 8,336 16,473

Salala 21,823 21,794 43,617

Sanoyeah 15,036 15,294 30,330

Suakoko 14,381 14,799 29,180

Tukpahbllee 5,737 5,994 11,731

Yeallequelleh 17,970 18,127 36,097

Zota 9,938 10,302 20,240

Gbarpolu 43,906 39,482 83,388

Grand Cape Mount 7,951 7,306 15,257

Bokomu 4,386 5,171 9,557

Bopolu 9,580 8,139 17,719

Gbarma 8,781 7,070 15,851

Gounwolaila 5,608 5,904 11,512

Kongba 7,600 5,892 13,492

Grand Bassa 110,913 110,780 221,693

Commonwealth 17,334 17,559 34,893

District # 1 12,555 12,057 24,612

District # 2 12,724 12,998 25,722

District # 3 25,281 24,244 49,525

District # 4 15,315 15,139 30,454

Neekreen 15,902 16,661 32,563

Owensgove 6,774 7,140 13,914

St. John River City 5,028 4,982 10,010

Source: LISGIS, 2008 National Population and Housing Census

Table 1.2: Population Distribution by County and District



Male Female Total

Grand Cape Mount 65,679 61,397 127,076

Garwula 13,668 13,268 26,936

Golakonneh 13,157 10,361 23,518

Porkpa 22,208 20,407 42,615

Commonwealth 3,298 3,249 6,547

Tewor 13,348 14,112 27,460

Grand Gedeh 64,994 60,264 125,258

B'hai 5,024 5,343 10,367

Cavala 7,300 6,859 14,159

Gbao 6,197 6,127 12,324

Gboe-Ploe 3,267 3,004 6,271

Glio-Twarbo 4,778 4,252 9,030

Konobo 13,365 11,340 24,705

Putu 9,044 7,382 16,426

16,019 15,957 31,976

Grand Kru 29,648 28,265 57,913

Barclayville 5,778 5,795 11,573

Bleebo 873 837 1,710

Bolloh 1,052 865 1,917

Buah 344 299 643

Dorbor 1,197 1,167 2,364

Dweh 473 455 928

Felo-Jekwi 981 1,030 2,011

Fenetoe 872 824 1,696

Forpoh 816 729 1,545

Garraway 4,968 4,557 9,525

Gee 1,254 1,289 2,543

Grand Cess Wedabo 5,523 5,286 10,809

Kpi 848 749 1,597

Lower Jloh 669 616 1,285

Nrokwia- Wesidow 1,010 866 1,876

Trenbo 1,860 1,771 3,631

Upper Jloh 773 800 1,573

Wlogba 357 330 687





Geographical Area Male Female TotalLofa 133,611 143,252 276,863

Foya 36,152 37,160 73,312

Kolahun 28,586 31,971 60,557

Quardu Bondi 8,824 9,961 18,785

Salayea 11,399 12,179 23,578

Vahun 8,621 8,516 17,137

Voinjama 20,623 22,167 42,790

Zorzor 19,406 21,298 40,704

Margibi 105,840 104,083 209,923

Firestone 31,228 30,760 61,988

Gibi 7,359 6,891 14,250

Kakata 44,667 44,037 88,704

Mambah Kaba 22,586 22,395 44,981

Maryland 70,855 65,083 135,938

Gwelekpoken 5,370 4,690 10,060

Harper 19,591 18,433 38,024

Karluway #1 4,501 3,993 8,494

Karluway #2 9,429 7,730 17,159

Nyorken 5,319 4,738 10,057

Pleebo/Sodoken 21,884 21,339 43,223

Whojah 4,761 4,160 8,921

Montserrado 549,733 568,508 1,118,241

Careysburg 15,048 14,664 29,712

Commonwealth 5,752 6,124 11,876

Greater Monrovia 476,473 494,351 970,824

St. Paul River 34,981 36,850 71,831

Todee 17,479 16,519 33,998

Nimba 230,113 231,913 462,026

Boe & Quilla 9,163 9,099 18,262

Buu-Yao 20,028 19,979 40,007

Doe 18,122 17,796 35,918

Garr Bain 29,813 31,412 61,225

Gbehlay- Geh 15,859 16,317 32,176

Gbi & Doru 4,152 3,979 8,131

Gbor 5,339 5,536 10,875





Geographical Area Male Female Total

Nimba Cont'd

Kparblee 5,602 5,822 11,424

Leewehpea-Mahn 12,518 12,229 24,747

Meinpea-Mahn 12,237 11,920 24,157

Sanniqquellie Mahn 12,336 13,034 25,370

Twan River 18,658 18,821 37,479

Wee-Gbehy-Mahn 16,015 16,919 32,934

Yarmein 11,396 11,322 22,718

Yarpea Mahn 11,438 10,209 21,647

Yarwein Mehnsonnoh 13,101 12,483 25,584

Zoe-Gbao 14,336 15,036 29,372

River Cess 37,224 34,285 71,509

Beawor 2,042 1,812 3,854

Central RiverCess 4,543 3,760 8,303

Doedain 6,836 6,205 13,041

Fen River 6,572 6,058 12,630

Jo River 4,572 4,349 8,921

Norwein 7,034 6,866 13,900

Sam Gbalor 1,883 1,831 3,714

Zartlahn 3,742 3,404 7,146

River Gee 34,863 31,926 66,789

Chedepo 5,435 5,083 10,518

Gbeapo 5,743 5,191 10,934

Glaro 2,613 2,379 4,992

Karforh 3,072 2,884 5,956

Nanee 3,421 2,581 6,002

Nyenawliken 2,668 2,491 5,159

Nyenebo 3,046 2,657 5,703

Potupo 3,689 3,648 7,337

Sarbo 2,680 2,640 5,320

Tuobo 2,496 2,372 4,868





Geographical Area Male Female Total

Sinoe 54,767 47,624 102,391

Bodae 2,151 1,388 3,539

Bokon 2,457 1,916 4,373

Butaw 1,817 1,615 3,432

Dugbe River 4,723 4,516 9,239

Greenville 7,921 7,794 15,715

Jaedae 1,928 1,611 3,539

Jeadepo 4,240 3,655 7,895

Juarzon 3,057 3,031 6,088

Kpayan 5,535 5,126 10,661

Kulu Shaw Boe 4,511 4,044 8,555

Plahn Nyarn 3,509 3,168 6,677

Pynes Town 1,798 1,269 3,067

Sanquin District # 1 1,093 1,025 2,118

Sanquin District # 3 1,699 1,453 3,152

Sanquin District #2 1,931 1,325 3,256

Seekon 4,087 2,937 7,024 Wedjah 2,310 1,751 4,061





Male Female Total Male Female TotalLiberia 00-04 270,564 263,911 534,475 45-49 63,827 54,980 118,807 05-09 251,411 250,520 501,931 50-54 44,870 38,070 82,940 10-14 214,859 206,807 421,666 55-59 30,975 25,485 56,460 15-19 189,407 186,288 375,695 60-64 25,473 27,357 52,830 20-24 161,951 180,979 342,930 65-69 19,250 20,557 39,807 25-29 141,006 150,852 291,858 70-74 12,343 13,403 25,746 30-34 107,326 112,306 219,632 75-79 11,580 11,333 22,913 35-39 99,136 104,400 203,536 80-84 81,670 74,067 155,737 40-44 5,408 6,599 12,007 85 + 8,889 8,749 17,638

Total 1,739,945 1,736,663 3,476,608 Bomi County 00-04 7,759 7,490 15,249 45-49 1,610 1,395 3,005 05-09 6,605 6,324 12,929 50-54 1,158 1,004 2,162 10-14 4,769 4,048 8,817 55-59 872 665 1,537 15-19 3,575 3,474 7,049 60-64 814 889 1,703 20-24 3,275 4,156 7,431 65-69 627 645 1,272 25-29 3,460 3,421 6,881 70-74 389 421 810 30-34 2,561 2,444 5,005 75-79 419 325 744 35-39 2,536 2,416 4,952 80-84 157 161 318

Grand Cape Mount 2,058 1,677 3,735 85 + 296 224 520 Total 42,940 41,179 84,119 Bong County 00-04 30,787 29,648 60,435 45-49 6,424 5,929 12,353 05-09 25,617 24,083 49,700 50-54 4,158 4,114 8,272 10-14 18,714 15,827 34,541 55-59 3,112 3,038 6,150 15-19 14,529 14,899 29,428 60-64 2,717 3,157 5,874 20-24 12,583 16,773 29,356 65-69 2,470 2,683 5,153 25-29 12,185 14,503 26,688 70-74 1,446 1,528 2,974 30-34 9,337 11,152 20,489 75-79 1,572 1,455 3,027 35-39 9,553 10,612 20,165 80-84 631 659 1,290 40-44 85 + 1,203 1,098 2,301

Total 84,753 93,730 178,483 Gbarpolu County 00-04 6,269 5,908 12,177 45-49 1,776 1,319 3,095 05-09 6,301 6,191 12,492 50-54 1,114 775 1,889 10-14 5,422 5,025 10,447 55-59 860 660 1,520 15-19 4,882 4,371 9,253 60-64 717 663 1,380 20-24 3,790 3,811 7,601 65-69 617 574 1,191 25-29 3,761 3,198 6,959 70-74 322 206 528 30-34 2,757 2,314 5,071 75-79 309 224 533 35-39 2,598 2,427 5,025 80-84 111 89 200 40-44 2,133 1,596 3,729 85 + 167 131 298

Total 43,906 39,482 83,388 Source: LISGIS, 2008 National Population and Housing Census

Table 1.2.1: Population by Age Group Distribution, County and Sex, 2008

Age/Single YearAge in Years

Page 7 Statistical Bulletin 2011Statistical Bulletin, Monrovia, Liberia. December 2011 19

Table 1.2.2: Single Age Distribution of the Population by County and Sex, Liberia 2008

Male Female Total Male Female TotalGrand Bassa County 00-04 20,093 19,549 39,642 45-49 4,747 4,025 8,772 05-09 16,604 15,634 32,238 50-54 3,317 2,741 6,058 10-14 11,990 10,439 22,429 55-59 2,431 2,146 4,577

8,856 9,277 18,133 60-64 2,209 2,215 4,424 20-24 8,194 10,622 18,816 65-69 1,671 1,723 3,394 25-29 8,267 9,450 17,717 70-74 1,030 1,015 2,045 30-34 6,544 7,166 13,710 75-79 1,017 825 1,842 35-39 6,920 7,631 14,551 80-84 412 468 880 40-44 5,874 5,216 11,090 85 + 737 638 1,375 Total 110,913 110,780 221,693 Grand Cape Mount County 00-04 10,814 10,615 21,429 45-49 2,274 1,867 4,141 05-09 10,166 9,369 19,535 50-54 1,545 1,248 2,793 10-14 7,625 6,345 13,970 55-59 1,089 836 1,925 15-19 7,058 6,586 13,644 60-64 1,081 982 2,063 20-24 5,473 6,132 11,605 65-69 847 715 1,562 25-29 5,460 5,556 11,016 70-74 526 419 945 30-34 4,037 3,667 7,704 75-79 564 416 980 35-39 3,793 3,683 7,476 80-84 227 244 471 40-44 2,786 2,450 5,236 85 + 314 267 581

Total 65,679 61,397 127,076 Grand Gedeh County 00-04 7,766 7,398 15,164 45-49 2,060 2,129 4,189 05-09 8,156 7,768 15,924 50-54 1,479 1,443 2,922 10-14 8,607 7,439 16,046 55-59 1,005 895 1,900 15-19 9,324 7,839 17,163 60-64 992 1,022 2,014 20-24 7,819 7,119 14,938 65-69 603 665 1,268 25-29 5,686 5,339 11,025 70-74 459 457 916 30-34 4,179 3,777 7,956 75-79 388 406 794 35-39 3,317 3,463 6,780 80-84 174 247 421 40-44 2,686 2,561 5,247 85 + 294 297 591

Total 64,994 60,264 125,258 Grand Kru County 00-04 4,959 4,571 9,530 45-49 877 1,013 1,890 05-09 4,814 4,514 9,328 50-54 689 765 1,454 10-14 4,073 3,266 7,339 55-59 559 503 1,062 15-19 3,433 2,838 6,271 60-64 477 586 1,063 20-24 2,622 2,736 5,358 65-69 289 345 634 25-29 2,058 2,202 4,260 70-74 208 203 411 30-34 1,652 1,755 3,407 75-79 190 167 357 35-39 1,415 1,467 2,882 80-84 79 91 170 40-44 1,194 1,183 2,377 85 + 60 60 120





Male Female Total Male Female TotalLofa County 00-04 22,304 22,756 45,060 45-49 4,371 4,485 8,856 05-09 21,979 21,411 43,390 50-54 2,780 3,332 6,112 10-14 16,392 14,872 31,264 55-59 1,930 1,966 3,896 15-19 15,178 14,766 29,944 60-64 1,758 2,828 4,586 20-24 10,570 12,808 23,378 65-69 1,553 2,127 3,680 25-29 10,187 12,871 23,058 70-74 1,132 1,855 2,987 30-34 7,562 9,074 16,636 75-79 1,266 1,429 2,695 35-39 7,182 8,441 15,623 80-84 809 1,080 1,889 40-44 5,273 5,796 11,069 85 + 1,385 1,355 2,740

Total 133,611 143,252 276,863 Margibi County 00-04 16,797 16,276 33,073 45-49 4,577 3,247 7,824 05-09 15,182 15,565 30,747 50-54 3,105 2,057 5,162 10-14 12,840 12,950 25,790 55-59 2,074 1,447 3,521 15-19 10,261 10,417 20,678 60-64 1,712 1,381 3,093 20-24 9,432 11,028 20,460 65-69 1,206 1,127 2,333 25-29 8,475 8,694 17,169 70-74 708 651 1,359 30-34 6,316 6,628 12,944 75-79 651 655 1,306 35-39 6,301 6,578 12,879 80-84 312 334 646 40-44 85 + 546 542 1,088

Total 105,840 104,083 209,923 Maryland County 00-04 9,939 9,463 19,402 45-49 2,185 1,855 4,040 05-09 11,039 10,391 21,430 50-54 1,629 1,294 2,923 10-14 10,793 9,452 20,245 55-59 1,216 960 2,176 15-19 9,694 8,184 17,878 60-64 1,014 1,030 2,044 20-24 7,173 6,472 13,645 65-69 618 558 1,176 25-29 4,889 4,771 9,660 70-74 461 413 874 30-34 3,658 3,720 7,378 75-79 329 232 561 35-39 3,232 3,454 6,686 80-84 161 155 316 40-44 2,695 2,562 5,257 85 + 130 117 247

Total 70,855 65,083 135,938 Montserrado County 00-04 73,324 72,950 146,274 45-49 20,649 16,439 37,088 05-09 69,286 77,223 146,509 50-54 15,086 11,017 26,103 10-14 66,783 77,566 144,349 55-59 9,742 6,895 16,637 15-19 63,364 69,255 132,619 60-64 6,844 6,866 13,710 20-24 60,860 65,924 126,784 65-69 4,647 4,997 9,644 25-29 51,807 53,585 105,392 70-74 2,927 3,303 6,230 30-34 38,389 39,233 77,622 75-79 2,028 2,495 4,523 35-39 33,830 34,071 67,901 80-84 907 1,336 2,243 40-44 28,096 23,651 51,747 85 + 1,164 1,702 2,866

Total 549,733 568,508 1,118,241 Source: LISGIS, 2008 National Population and Housing Census




Male Female Total Male Female TotalNimba County 00-04 39,679 38,674 78,353 45-49 7,782 7,426 15,208 05-09 35,593 34,051 69,644 50-54 5,703 5,586 11,289 10-14 30,174 26,160 56,334 55-59 3,804 3,561 7,365 15-19 25,413 23,211 48,624 60-64 3,221 3,925 7,146 20-24 19,333 22,712 42,045 65-69 2,767 3,184 5,951 25-29 15,134 17,649 32,783 70-74 1,948 2,277 4,225 30-34 12,689 14,349 27,038 75-79 2,188 2,152 4,340 35-39 11,394 13,144 24,538 80-84 1,116 1,447 2,563 40-44 9,989 10,414 20,403 85 + 2,186 1,991 4,177

Total 230,113 231,913 462,026 Rivercess County 00-04 5,864 5,657 11,521 45-49 1,506 1,239 2,745 05-09 5,804 5,154 10,958 50-54 952 802 1,754 10-14 4,764 3,825 8,589 55-59 719 531 1,250 15-19 3,609 3,187 6,796 60-64 527 534 1,061 20-24 2,891 3,196 6,087 65-69 447 425 872 25-29 2,999 3,048 6,047 70-74 273 205 478 30-34 2,197 2,110 4,307 75-79 247 225 472 35-39 2,316 2,395 4,711 80-84 115 124 239 40-44 1,802 1,488 3,290 85 + 192 140 332

Total 37,224 34,285 71,509 River Gee County 00-04 5,734 5,225 10,959 45-49 1,110 985 2,095 05-09 5,879 5,205 11,084 50-54 738 758 1,496 10-14 5,039 4,203 9,242 55-59 651 603 1,254 15-19 4,061 3,211 7,272 60-64 527 549 1,076 20-24 2,867 2,932 5,799 65-69 377 323 700 25-29 2,302 2,524 4,826 70-74 234 201 435 30-34 1,865 1,874 3,739 75-79 162 131 293 35-39 1,757 1,750 3,507 80-84 72 67 139 40-44 1,418 1,315 2,733 85 + 70 70 140

Total 34,863 31,926 66,789 Sinoe County 00-04 8,476 7,731 16,207 45-49 1,879 1,627 3,506 05-09 8,386 7,637 16,023 50-54 1,417 1,134 2,551 10-14 6,874 5,390 12,264 55-59 911 779 1,690 15-19 6,170 4,773 10,943 60-64 863 730 1,593 20-24 5,069 4,558 9,627 65-69 511 466 977 25-29 4,336 4,041 8,377 70-74 280 249 529 30-34 3,583 3,043 6,626 75-79 250 196 446 35-39 2,992 2,868 5,860 80-84 125 97 222 40-44 2,500 2,188 4,688 85 + 145 117 262




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Empl

oym

ent-

to-P

opul

atio

n Ra

tio (%

)U

nem

ploy

men

t Ra

te (%

)

Vuln

erab

le

Empl

oym

ent

Rate

(%)

Info

rmal

Em

ploy

men

t Rat

e (%

)N

atio

nal

62.8

37.2

60.5

3.7

77.9

68.0

Urb

an a

reas

54.9

45.1

52.0

5.5

67.5

59.3

Rura

l are

as71

.228

.869

.62.

386

.175

.0M

ale

66.1

33.9

63.8

3.4

68.3

61.3

Fem

ale

59.9

40.1

57.5

4.1

87.3

74.7

Grea

ter M

onro

via

52.8

47.2

49.3

6.5

63.2

56.6

Sour

ce: L

iber

ia In

stitu

te o

f Sta

tistic

s & G

eo-In

form

atio

n Se

rvic

es, L

abou

r For

ce S

urve

y, 2

010

Tabl

e 1.

3.4:

Lab

our m

arke

t ind

icat

ors:

var

ious

ratio

s

Tabl

e 1.

3.3:

Sta

tus i

n em

ploy

men

t (pe

rson

s age

d 15

and

ove

r)Co

ntrib

utin

g Fa

mily

Wor

kers

Vuln

erab

le

Empl

oym

ent

Paid

Em

ploy

ees

Empl

oyer

sO

wn

Acco

unt W

orke

rs

Prod

ucer

s' Co

oper

ativ

es

Pag

e 13

Sta

tistic

al B

ulle

tin 2

011


Grand Cape Mount

0

100,000

200,000

300,000

400,000

500,000

600,000

700,000

800,000

900,000

National Urban areas Rural areas Male Female Greater Monrovia

empl

oym

ent

Fig 3. - Status of Employment by category

Paid Employees

Employers

Own Account Workers

Members of Producers' Cooperatives

Contributing Family Workers

Vulnerable Employment


Grand Cape Mount

0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0 80.0 90.0

Perc

ent

Key Labor force indicators

Fig. 4 - Key labour market indicators - National

National



Occupation

Bomi

Bong

Grand Bassa

Grand Cape Mount

Grand Gedeh

Grand Kru

Lofa

Margibi

Maryland

Montserrado

Nimba

Rivercess

Sinoe

River Gee

Gbarpolu

Total

ISO

-08

Man

ager

s

1,0

00

1,0

00

*

1

,000

*

*

*

*

*

5,0

00

*

*

*

*

*

11,0

00

Pro

fess

iona

ls

1,0

00

4,0

00

1

,000

1,0

00

1,0

00

1

,000

2

,000

4,

000

2

,000

2

1,00

0

3

,000

1,0

00

1

,000

1

,000

1

,000

43

,000

T

echn

icia

ns

*

2,0

00

1

,000

1,0

00

*

*

*

*

*

8

,000

1

,000

*

*

*

*

14

,000

C

leric

al su

ppor

t *

*

*

*

*

*

*

*

3,0

00

1,0

00

*

*

*

5,0

00

Ser

vice

& sa

les

1

,000

6

,000

5,0

00

1

,000

2

,000

1,0

00

4,0

00

4,00

0

1,0

00

50,

000

8,0

00

*

1

,000

1

,000

1

,000

86

,000

S

kille

d ag

ricul

ture

8,0

00

3

7,00

0 1

9,00

0 1

2,00

0

7

,000

5,0

00

2

6,00

0

16,

000

7

,000

1

2,00

0

36,

000

9

,000

3,0

00

7,0

00

1

0,00

0

216

,000

C

raft&

rela

ted

*

5,0

00

2

,000

1,0

00

1,0

00

*

2,0

00

2,00

0

1,0

00

30,

000

2,0

00

*

*

*

*

48,0

00

Mac

hine

ope

rato

rs

1

,000

1

,000

1,0

00

1

,000

1

,000

*

*

1,

000

*

15,

000

1,0

00

*

*

*

1,0

00

22,0

00

Ele

men

tary

occ

up

4

,000

8

,000

5,0

00

7

,000

3

,000

3,0

00

8,0

00

9,00

0

1,0

00

18,

000

1

0,00

0

3,0

00

1

,000

1

,000

3

,000

83

,000

T

otal

1

5,00

0

65

,000

3

5,00

0 2

5,00

0

15

,000

1

0,00

0

43,

000

3

7,00

0 1

3,00

0

16

4,00

0

60,

000

13,

000

7

,000

10

,000

16,

000

5

28,0

00

Man

ager

s

4

1

1

4

1

3

1

1

4

3

1

1

7

2

0

2

Pro

fess

iona

ls

4

7

3

4

8

7

5

10

14

1

3

5

5

1

3

9

5

8

Tec

hnic

ians

1

3

2

4

2

1

1

1

2

5

1

0

2

2

3

3

Cle

rical

supp

ort

0

1

0

0

0

1

1

1

-

2

1

0

2

-

0

1

S

ervi

ce&

sale

s

5

1

0

14

5

13

6

9

10

10

31

13

2

13

5

5

16

Ski

lleda

gric

ultu

re

5

2

5

8

56

4

8

4

6

52

59

44

57

8

60

7

0

46

69

64

41

Cra

ft&re

late

d

3

8

6

6

7

1

5

6

5

19

3

1

3

2

2

9

Mac

hine

ope

rato

rs

6

2

3

3

6

1

1

2

2

9

1

1

3

0

4

4

E

lem

enta

ry o

ccup

26

13

1

5

27

18

2

8

1

9

25

7

1

1

1

6

20

1

2

1

1

1

6

1

6

Gra

nd C

ape

Mou

nt

100

100

1

00

100

100

1

00

1

00

10

0

1

00

100

100

1

00

100

10

0

100

100

Tabl

e 1.

3.5:

Em

ploy

ed M

ales

Age

d 15

and

Abo

ve b

y Se

x, C

ount

y an

d M

ain

Occ

upat

ion

Sour

ce: L

ISGI

S - L

iber

ia La

bour

For

ce S

urve

y 20

10

Per

cent

ages

Pag

e 15

Sta

tistic

al B

ulle

tin 2

011


Occ

upat

ion

Bom

i B

ong

Gra

nd

Bass

a

Gra

nd

Cape

M

ount

G

rand

Ge

deh

Gra

nd

Kru

Lof

a M

argi

bi

M

aryl

an d

M

onts

erra do

N

imba

Ri

verc

es s

Sino

e R

iver

Gee

Gb

arpo

lu

Tota

l IS

O-0

8 M

anag

ers

*

1,0

00

*

*

-

*

*

-

*

1

,000

- *

*

*

-

3

,000

P

rofe

ssio

nals

*

2,0

00

1

,000

1,0

00

*

*

2,0

00

1,00

0

1,0

00

13,

000

2,0

00

*

*

*

*

26,0

00

Tec

hnic

ians

*

1

,000

- *

*

*

1

,000

*

*

3,0

00

*

-

*

*

*

5,0

00

Cle

rical

supp

ort

-

*

*

*

*

*

*

*

1

,000

-

- -

1,0

00

Ser

vice

&sa

les

3

,000

14,

000

12,

000

7

,000

4

,000

1,0

00

8,0

00

9,00

0

3,0

00

91,

000

1

1,00

0

1,0

00

1

,000

1

,000

2

,000

167,

000

Ski

lleda

gric

ultu

re

5

,000

41,

000

12,

000

12,

000

4,0

00

6

,000

36,

000

8,00

0

6,0

00

9

,000

33,

000

9

,000

3,0

00

7,0

00

8,0

00

20

1,00

0 C

raft&

rela

ted

*

3,0

00

1

,000

1,0

00

1,0

00

*

2,0

00

2,00

0 *

7,0

00

2,0

00

*

*

*

*

18,0

00

Mac

hine

oper

ator

s *

1

,000

*

*

*

- *

-

2,0

00

1,0

00

-

*

*

4,0

00

Ele

men

tary

occu

p.

4

,000

13,

000

5

,000

5,0

00

2,0

00

3

,000

11,

000

8,00

0

1,0

00

36,

000

1

6,00

0

3,0

00

1

,000

1

,000

2

,000

110,

000

Tot

al

12,

000

74,0

00

30,

000

28,

000

11,0

00

11,

000

5

9,00

0

29,

000

11,

000

162,

000

6

6,00

0 1

3,00

0

5,0

00

10,0

00

1

3,00

0

536

,000

Man

ager

s

0

1

0

1

-

0

0

-

2

1

-

0

4

0

-

1

Pro

fess

iona

ls

4

3

2

4

1

3

3

3

10

8

4

3

9

3

2

5

T

echn

icia

ns

0

1

-

1

2

1

1

1

1

2

1

-

1

1

1

1

C

leric

alsu

ppor

t

-

-

1

1

0

0

0

0

0

1

-

-

-

-

-

0

S

ervi

ce&

sale

s

24

19

3

9

26

33

1

0

1

3

32

24

5

6

1

7

6

2

2

6

14

31

Ski

lleda

gric

ultu

re

3

9

5

5

39

4

5

3

8

55

61

29

54

6

51

7

0

53

74

64

38

Cra

ft&re

late

d

3

3

3

3

6

1

3

6

2

4

3

1

2

1

1

3

Mac

hine

ope

rato

rs

1

1

1

1

0

-

-

1

-

1

1

-

-

0

1

1

E

lem

enta

ry o

ccup

29

17

1

5

20

19

2

9

1

9

28

8

2

2

2

5

21

1

0

1

4

1

7

2

1 T

otal

1

00

1

00

100

1

00

100

100

100

1

00

100

1

00

1

00

100

1

00

1

00

1

00

100

Sour

ce: L

ISGI

S - L

iber

ia La

bour

For

ce S

urve

y 20

10

Tab

le 1

.3.6

: Em

ploy

ed F

emal

es A

ged

15 a

nd A

bove

by

Sex,

Cou

nty

and

Mai

n O

ccup

atio

n

Per

cent

ages

Libe

riaLF

S201

0

Pag

e 16

Sta

tistic

al B

ulle

tin 2

011


Tabl

e 1.

3.7:

Em

ploy

ed p

erso

ns a

ged

15 a

nd o

ver b

y se

x, co

unty

and

mai

n oc

cupa

tion-

Bot

h Se

xes

Occ

upat

ion

Bom

i B

ong

Gra

nd

Bass

a

Gra

nd

Cape

M

ount

G

rand

Ge

deh

Gra

nd

Kru

Lof

a M

argi

bi

M

aryl

an d

M

onts

erra do

N

imba

Ri

verc

es s

Sino

e R

iver

Gee

Gb

arpo

lu

Tota

l IS

O-0

8 M

anag

ers

1

,000

1

,000

*

1,0

00

* *

*

*

1,0

00

6,

000

*

*

1

,000

*

*

14

,000

P

rofe

ssio

nals

1

,000

7

,000

2,0

00

2

,000

1

,000

1,0

00

4,0

00

5,00

0

3,0

00

34,

000

*

1

,000

1,0

00

1,0

00

1,0

00

69,0

00

*

2,0

00

1

,000

1,0

00

* *

1

,000

1,

000

*

11,

000

1,0

00

*

*

*

1,0

00

20,0

00

Cle

rical

supp

ort

*

*

*

*

*

*

1,0

00

*

*

4

,000

1

,000

*

*

- *

7

,000

0

Serv

ice&

sale

s

4,0

00

2

0,00

0 1

7,00

0

8,0

00

6,0

00

2

,000

12,

000

1

3,00

0

4,0

00

1

41,0

00

1

9,00

0

1,0

00

2

,000

1

,000

3

,000

252

,000

S

kille

dagr

icul

ture

1

3,00

0

79

,000

3

1,00

0 2

5,00

0

11

,000

11,0

00

6

1,00

0

24,

000

13,

000

22,

000

6

9,00

0 1

8,00

0

6,0

00

14,0

00

18,0

00

41

7,00

0 C

raft&

rela

ted

1

,000

8

,000

3,0

00

2

,000

2

,000

*

4

,000

4,

000

1

,000

3

7,00

0

3

,000

*

*

*

1

,000

66

,000

M

achi

ne

ope

rato

rs

1

,000

1

,000

1,0

00

1

,000

1

,000

*

*

1,

000

*

16,

000

1,0

00

*

*

*

1,0

00

27,0

00

Ele

men

tary

o

ccup

.

8,0

00

2

1,00

0 1

0,00

0 1

2,00

0

5

,000

6,0

00

1

9,00

0

17,

000

2

,000

5

4,00

0

26,

000

5

,000

1,0

00

2,0

00

5,0

00

1

93,0

00

Tot

al

28,

000

13

9,00

0 6

5,00

0 5

3,00

0

26

,000

21,0

00

102

,000

66,0

00

24,

000

326,

000

12

6,00

0 2

6,00

0

12,0

00

20,0

00

29,0

00

1

,063

,000

Man

ager

s

2

1

1

3

0

2

0

1

3

2

0

0

6

1

0

1

Pro

fess

iona

ls

4

5

3

4

5

5

4

7

1

2

10

4

4

11

6

4

7

T

echn

icia

ns

1

2

1

2

2

1

1

1

2

3

1

0

2

1

2

2

C

leric

alsu

ppor

t

0

0

0

0

0

1

1

1

0

1

0

0

1

-

0

1

S

ervi

ce&

sale

s

14

15

2

6

16

22

8

11

20

1

6

43

15

4

17

6

9

24

Ski

lleda

gric

ultu

re

4

6

5

6

48

4

6

4

3

54

60

37

5

5

7

55

7

0

49

72

64

39

Cra

ft&re

late

d

3

5

4

4

7

1

4

6

4

12

3

1

2

1

2

6

Mac

hine

o

pera

tors

4

1

2

2

4

0

0

2

1

5

1

1

2

0

3

3

Ele

men

tary

occ

up

2

7

1

5

15

2

3

1

8

28

19

26

7

17

21

2

1

11

12

16

18

Tot

al

100

100

1

00

100

10

0

1

00

1

00

10

0

1

00

100

100

1

00

100

10

0

100

1

00

Sour

ce: L

ISGI

S - L

iber

ia La

bour

For

ce S

urve

y

Per

cent

ages

Pag

e 17

Sta

tistic

al B

ulle

tin 2

011


Table 1.4.1: Distribution of Household Headship by Gender, Urban-Rural Residence and County, Liberia 2008

Male Headed Female HeadedNational 670,295 72.9 27.1 Urban 327,022 69.7 30.3 Rural 343,273 76.1 23.9 Bomi 20,508 70.8 29.2 Bong 69,810 72.7 27.3 Grand Bassa 47,440 79.2 20.8 Grand Cape Mount 23,950 73.4 26.6 Grand Gedeh 18,143 75.2 24.8 Grand Kru 8,969 74.2 25.8 Lofa 49,642 67.0 33.0 Margibi 45,095 76.1 23.9 Maryland 19,254 73.9 26.1 Montserrado 232,585 71.1 28.9 Nimba 80,734 72.3 27.7 River Cess 13,981 79.5 20.5 Sinoe 15,829 78.6 21.4 River Gee 9,822 74.8 25.2 Gbarpolu 14,533 80.5 19.5

Grand Cape Mount

Table 1.4.2: Distribution of Household Headship by Gender and House Ownership, Liberia 2008

1.4: Gender Dimension of Population

County Total HouseholdsPercent of households


Page19 Statistical bulletin 2011

% of employ% of employed female

-

5

10

15

20

25

30

35

40

45

Fig 5. Percent of Male and Female in major occupations

Employed male by major occupation Employed female by occupation



Table 1.4.1: Distribution of Household Headship by Gender, Urban-Rural Residence and County, Liberia 2008

Grand Cape Mount

Table 1.4.2: Distribution of Household Headship by Gender and House Ownership, Liberia 2008

Number Percent Number Percent Number PercentNational 489,097 100.0 180,920 100.0 670,017 100.0Purchased 13,511 2.8 5,248 2.9 18,759 2.8Constructed 259,416 53.0 89,100 49.2 348,516 52.0Inherited 72,850 14.9 30,622 16.9 103,472 15.4Government 4,101 0.8 1,318 0.7 5,419 0.8NHA 1,598 0.3 823 0.5 2,421 0.4Private company 17,406 3.6 3,539 2.0 20,945 3.1Private individual 80,099 16.4 33,228 18.4 113,327 16.9Squatter 26,110 5.3 10,841 6.0 36,951 5.5Other 14,006 2.9 6,201 3.4 20,207 3.0

House OwnershipMale Female


Total



CountyMale Percent Female Percent Male Female

National 155,765 31.9 69,374 38.3 488,936 181,359 Bomi 8,361 57.6 4,041 67.4 14,515 5,993 Bong 24,790 48.8 10,718 56.3 50,766 19,044 Grand Bassa 15,677 41.7 4,714 47.8 37,571 9,869 Grand Cape Mount 8,429 47.9 3,484 54.8 17,590 6,360 Grand Gedeh 3,721 27.3 1,501 33.4 13,651 4,492 Grand Kru 2,951 44.3 1,228 53.2 6,659 2,310 Lofa 18,218 54.8 11,264 68.7 33,245 16,397 Margibi 9,274 27 3,464 32.1 34,302 10,793 Maryland 3,612 25.4 1,801 35.9 14,235 5,019 Montserrado 25,483 15.4 12,888 19.2 165,390 67,195

21,073 36.1 9,612 43 58,402 22,332 River Cess 5,255 47.3 1,648 57.5 11,116 2,865 Sinoe 3,511 28.2 1,197 35.4 12,447 3,382 River Gee 1,676 22.8 716 28.9 7,348 2,474 Gbarpolu 3,734 31.9 1,098 38.7 11,699 2,834

Table 1.4.3: Essential Assets Deficiency by Gender and CountyHouseholds not Owning Essential Amenities


Male Headed Female Headed Total Households



Female Head Male Headed Female Headed Male Headed1 12,307 27,666 6,701 19,656 2 14,569 27,294 11,973 22,388 3 16,194 29,932 13,931 31,543 4 14,231 30,415 12,910 37,026 5 11,348 27,281 10,656 35,524 6 8,549 22,556 7,812 30,293 7 6,211 17,285 5,434 23,619 8 4,556 13,183 3,977 17,970 9 3,292 9,474 2,928 13,389 10 3,828 10,619 4,242 20,900 11 980 2,869 358 1,907 12+ 3,131 9,252 1,240 6,896 Total 99,196 227,826 82,162 261,111 Source: LISGIS, 2008 National Population and Housing Census


Table 1.4.4: Distribution of Female and Male Headed Households by Household size and Place of Residence, Liberia 2008

HH Size

Urban Rural

Page21 Statistical Bulletin 2011


Male headed Total Female headed Male headed Total

Liberia 26.2 26.8 29.1 39.2 40.1Bomi 15 14.3 46.2 35.9 37.5

Grand Cape Mount 10.1 10.8 27.9 56 57Grand Bassa 18.3 19 0.6 25.3 26.1Grand Cape Mount 8.8 9.2 41.1 42.2 43.9Grand Gedeh 4.2 4.5 72.6 18 19Grand Kru 1.2 1.5 77.9 15.2 16.4Lofa 3 2.9 46.9 48.1 48.8Margibi 32.8 32.7 24.7 38.8 39.8Maryland 10.4 10.7 50.1 32.1 33.7Montserrado 55.1 55.3 8.8 34.9 35Nimba 9.5 10 21.9 65.2 65.6River Cess 1.1 1.3 83.2 12.3 12.8Sinoe 5.6 6.3 65.2 18.6 20.2River Gee 2.1 2.1 77.3 19.4 19.7Gbarpolu 2.5 2.6 67.6 25.9 26.6Source: LISGIS, 2008 National Population and Housing Census

Table 1.4.5: Type of Dwelling by Gender of Household Head and County, Liberia 2008

Background Characteristics

Semi permanentPermanent Temporary



Table 1.4.6: Electricity Deficiency on Lighting and Cooking by Gender and County, Liberia 2008

Male Female Male Female Male Female Liberia 465,515 174,136 484,349 179,683 488,936 181,359 Bomi 14,278 5,905 14,459 5,972 14,515 5,993 Bong 50,109 18,827 50,608 18,989 50,766 19,044 Grand Bassa 36,800 9,687 37,341 9,798 37,571 9,869 Grand Cape Mount 17,304 6,294 17,444 6,311 17,590 6,360 Grand Gedeh 13,377 4,435 13,584 4,473 13,651 4,492 Grand Kru 6,617 2,293 6,627 2,295 6,659 2,310 Lofa 32,857 16,217 33,073 16,301 33,245 16,397 Margibi 32,400 10,468 33,928 10,734 34,302 10,793 Maryland 13,881 4,910 14,173 4,989 14,235 5,019 Montserrado 148,094 61,558 162,403 66,049 165,390 67,195

57,689 22,109 58,224 22,262 58,402 22,332 River Cess 11,060 2,853 11,091 2,856 11,116 2,865 Sinoe 12,270 3,338 12,410 3,368 12,447 3,382 River Gee 7,211 2,439 7,311 2,463 7,348 2,474 Gbarpolu 11,568 2,803 11,673 2,823 11,699 2,834 Source: LISGIS, 2008 National Population and Housing Census

County

Not Using electricity for

CookingLighting Total Households


Table 1.4.7: Water Deficiencies on Flush Toilet and Piped Water by Gender and County, Liberia 2008 County

Male Female Male Female Male FemaleNational 424,617 155,001 259,071 87,427 488,936 181,359 Bomi 14,037 5,821 7,510 2,793 14,515 5,993 Bong 48,501 18,097 31,582 10,715 50,766 19,044 Grand Bassa 35,612 9,197 28,603 7,293 37,571 9,869 Grand Cape Mount 16,694 5,979 10,870 3,710 17,590 6,360 Grand Gedeh 13,022 4,283 5,634 1,543 13,651 4,492 Grand Kru 6,557 2,264 4,834 1,496 6,659 2,310 Lofa 32,054 15,835 15,492 7,241 33,245 16,397 Margibi 31,449 9,960 20,349 6,467 34,302 10,793 Maryland 12,968 4,609 6,018 1,540 14,235 5,019 Montserrado 116,093 46,307 67,703 26,009 165,390 67,195 Nimba 55,925 21,401 27,808 10,612 58,402 22,332 River Cess 10,937 2,814 10,111 2,527 11,116 2,865 Sinoe 12,102 3,269 9,489 2,251 12,447 3,382 River Gee 7,175 2,396 5,068 1,543 7,348 2,474 Gbarpolu 11,491 2,769 8,000 1,687 11,699 2,834

Total HouseholdsFlush Toilet Piped Water




Boys

Girls

Boys

Girls

Boys

Girls

Boys

Girls

Boys

Girls

Tota

lGP

I2,

710

2,17

438

0

386

1,01

0

1,04

3

337

261

4,26

63,

512

7,77

80.

8221

,404

16,6

485,

205

4,22

5

1,65

2

1,81

9

2,39

9

2,16

9

30,5

2924

,466

54,9

950.

80Gr

and

Bass

a12

,442

9,34

13,

037

2,68

6

2,16

9

1,95

9

1,54

9

1,46

3

19,3

8915

,352

34,7

410.

79Gr

and

Cape

Mt.

4,58

84,

003

369

33

5

13

9

11

5

35

1

26

9

5,

399

4,67

510

,074

0.87

Gran

d Ge

deh

6,15

05,

238

896

81

2

85

59

73

6

64

9

7,

810

6,80

514

,615

0.87

7,05

64,

589

00

70

70

420

377

7,52

45,

045

12,5

690.

6717

,758

15,2

311,

711

1,55

2

287

261

1,75

6

1,52

7

21,4

9418

,487

39,9

810.

869,

470

8,42

93,

781

3,94

0

2,21

5

2,21

8

1,30

8

1,46

2

17,4

8616

,640

34,1

260.

95M

aryl

and

9,70

47,

156

367

17

5

52

3

79

6

1,

273

1,

112

12

,181

9,01

521

,196

0.74

Mon

tser

rado

21,3

1320

,226

13,1

90

13,5

02

25

,993

28,3

71

15

,996

16,2

43

87

,085

88,8

4817

5,93

31.

0234

,524

29,3

845,

522

5,28

4

2,63

0

2,83

4

3,76

2

3,65

5

46,8

7141

,205

88,0

760.

88Ri

ver C

ess

5,33

33,

757

628

50

3

29

22

53

4

40

2

6,

528

4,69

311

,221

0.72

Sino

e5,

854

4,28

561

6

441

287

319

634

604

7,29

95,

498

12,7

970.

754,

902

3,41

915

6

83

00

383

313

5,44

13,

815

9,25

60.

706,

763

4,89

714

8

77

9970

214

158

7,28

25,

247

12,5

290.

72N

ATIO

NAL

169,

971

138,

777

36,0

06

34,0

01

37

,188

39,9

56

31

,652

30,6

64

28

6,58

425

3,30

353

9,88

70.

88S

ourc

e: M

inis

try

of E

duca

tion,

Lib

eria

200

8

Gran

d Ca

pe M

ount

Rive

r Gee

Gbar

polu

1.5:

Edu

catio

n S

tatis

tics

Tab

le 1

.5.1

: Gro

ss E

nrol

men

t in

Prim

ary

Sch

ool b

y C

ount

y, L

evel

, Sex

and

Pro

prie

tor,

Lib

eria

200

7/20

08

Prim

ary

Prim

ary

Nim

ba

Mar

gibi

Lofa

Bom

i

All S

choo

lPu

blic

Sch

ool

Com

mun

ity S

choo

lPr

ivat

e Sc

hool

Bong

Gran

d Kr

u

Mis

sion

Sch

ool

Prim

ary

Prim

ary

Prim

ary P

age2

4S

tatis

tical

Bul

letin

201

1

Tab

le 1

.5.2

: Gro

ss E

nrol

men

t in

Prim

ary

Sch

ool b

y C

ount

y, L

evel

, Sex

and

Pro

prie

tor,

Lib

eria

200

8/20

09

Boys

Girls

Boys

Girls

Boys

Girls

Boys

Girls

Boys

Girls

Tota

lGP

I3,

378

2,

874

46

7

381

898

790

496

479

5,23

9

4,

524

9,76

3

0.

9324

,216

18,6

56

4,99

0

4,

041

1,

352

1,

362

2,

647

2,

415

33

,205

26,4

74

59,6

79

0.88

Gran

d Ba

ssa

10,2

66

6,

848

2,

608

2,20

7

1,78

9

1,34

7

2,35

4

2,02

6

17,0

17

12

,428

29

,445

0.

79Gr

and

Cape

Mt.

5,89

1

4,47

6

538

39

5

18

4

15

4

34

0

31

5

6,

953

5,34

0

12

,293

0.

86Gr

and

Gede

h7,

817

5,

998

68

2

633

319

292

650

565

9,46

8

7,

488

16,9

56

0.86

8,63

4

5,78

9

-

-

23

21

664

566

9,32

1

6,

376

15,6

97

0.76

21,3

87

17

,423

2,

185

1,73

2

7

10

2,

416

2,

121

25

,995

21,2

86

47,2

81

0.86

8,63

1

7,75

8

4,28

0

4,

300

4,

053

4,

069

1,

293

1,

279

18

,257

17,4

06

35,6

63

0.93

Mar

ylan

d 8,

469

6,

620

59

6

411

1,36

9

1,01

8

1,79

3

1,80

2

12,2

27

9,

851

22,0

78

0.88

Mon

tser

rado

26,7

67

23

,931

9,

843

10,1

35

47

,544

49,9

44

20

,417

20,0

64

10

4,57

1

104,

074

208,

645

0.

8838

,101

31,5

75

5,14

3

4,

368

2,

891

2,

783

5,

403

4,

968

51

,538

43,6

94

95,2

32

0.92

Rive

r Ces

s5,

618

3,

943

52

5

322

-

-

499

400

6,64

2

4,

665

11,3

07

0.83

Sino

e7,

187

5,

254

62

7

628

342

258

760

674

8,91

6

6,

814

15,7

30

0.88

5,69

3

4,23

3

393

30

1

31

19

26

5

21

5

6,

382

4,76

8

11

,150

0.

867,

726

5,

710

12

1

74

52

32

370

232

8,26

9

6,

048

14,3

17

0.75

NAT

ION

AL18

9,78

1

15

1,08

8

32

,998

29

,928

60,8

54

62

,099

40,3

67

38

,121

324,

000

28

1,23

6

60

5,23

6

0.88

Sou

rce:

Min

istr

y of

Edu

catio

n, L

iber

ia 2

010

Bong

Gran

d Kr

uLo

fa

Prim

ary

Prim

ary

Coun

tyBo

mi

Prim

ary

Mis

sion

Sch

ool

All S

choo

lPr

imar

yPr

imar

yPu

blic

Sch

ool

Priv

ate

Scho

olCo

mm

unity

Sch

ool

Mar

gibi

Nim

ba

Rive

r Gee

Gbar

polu

Pag

e25

Sta

tistic

al B

ulle

tin 2

011


Boys

Girls

Boys

Girls

Boys

Girls

Boys

Girls

Boys

Girls

Tota

lGP

IBo

mi

551

506

6

4

230

138

127

6391

471

11,

625

0.78

Bong

2,73

61,

821

329

21

4

314

232

1048

841

4,42

73,

108

7,53

5

0.

70Gr

and

Bass

a71

850

510

9

80

54

0

25

2

51

243

01,

879

1,26

73,

146

0.67

Gran

d Ca

pe M

t.43

731

40

00

040

3647

735

082

70.

73Gr

and

Gede

h1,

190

817

00

31

64

238

204

1,45

91,

085

2,54

4

0.

74Gr

and

Kru

803

387

00

00

7650

879

437

1,31

60.

50Lo

fa3,

403

1,70

623

15

0

082

648

54,

252

7,20

66,

458

0.52

Mar

gibi

2,11

21,

695

676

62

7

840

660

520

448

4,14

83,

430

7,57

8

0.

83M

aryl

and

1,56

273

722

21

35

4

44

929

02,

068

1,05

23,

120

0.51

Mon

tser

rado

5,07

64,

083

2,17

7

1,

901

11,8

41

11

,245

8050

7863

27,1

4425

,092

52,2

36

0.92

Nim

ba4,

296

2,82

776

5

660

89

7

85

1

15

5412

007,

512

5,53

813

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0.

74Ri

ver C

ess

9843

14

4

0

013

341

245

8833

30.

36Si

noe

836

223

8

13

21

822

013

31,

085

377

1,46

2

0.

35Ri

ver G

ee62

924

40

00

011

055

739

299

1,03

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arpo

lu21

498

00

67

2920

249

125

374

0.50

NAT

ION

AL24

,661

16,0

064,

129

3,53

9

14

,755

13,4

61

13

932

1215

957

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45,1

6510

2,64

20.

79So

urce

: Min

istry

of E

duca

tion,

Libe

ria 2

008

Juni

or H

igh

Tabl

e 1.

5.3:

Gro

ss E

nrol

men

t in

Juni

or H

igh

Scho

ol b

y Co

unty

, Lev

el, S

ex a

nd P

rope

ritor

, Lib

eria

200

7/20

08M

issi

on S

choo

lCo

unty

Publ

ic S

choo

lCo

mm

unity

Sch

ool

Priv

ate

Scho

olJu

nior

Hig

hAl

l Sch

ool

Juni

or H

igh

Juni

or H

igh

Juni

or H

igh P

age2

6S

tatis

tical

Bul

letin


Coun

tyBo

ysGi

rlsBo

ysGi

rlsBo

ysGi

rlsBo

ysGi

rlsBo

ysGi

rlsTo

tal

GPI

Bom

i70

151

852

20

27

6

23

6

16

3

96

1,

192

870

2,06

20.

88Bo

ng3,

144

1,79

337

5

235

11

6

80

1,

088

87

8

4,

723

2,98

67,

709

0.74

Gran

d Ba

ssa

688

378

144

13

9

340

161

771

542

1,94

31,

220

3,16

30.

72Gr

and

Cape

Mt.

649

376

00

00

7657

725

433

1,15

80.

70Gr

and

Gede

h1,

329

859

00

29

936

3

22

0

1,

721

1,08

82,

809

0.74

Gran

d Kr

u91

440

30

00

012

094

1,03

449

71,

531

0.61

Lofa

3,44

91,

526

216

91

00

1066

612

4,73

12,

229

6,96

00.

52M

argi

bi1,

758

960

480

49

0

910

671

621

610

3,76

92,

731

6,50

00.

72M

aryl

and

1,62

497

256

38

27

0

13

5

63

649

7

2,

586

1,64

24,

228

0.72

Mon

tser

rado

7,68

15,

794

1,94

9

1,

787

13,1

85

12

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10,2

74

9,

809

33

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30,3

3063

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0.78

Nim

ba4,

762

3,11

656

3

461

1,

129

94

8

1,

911

1,

407

8,

365

5,93

214

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0.82

Rive

r Ces

s16

561

7

5

00

145

7431

714

045

70.

55Si

noe

674

254

28

26

50

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714

1

96

944

01,

409

0.60

Rive

r Gee

699

262

00

4

10

6328

76

630

01,

066

0.47

Gbar

polu

458

209

11

9

00

4111

510

229

739

0.50

NAT

ION

AL28

,695

17,4

813,

881

3,30

1

16

,309

15,2

09

17

,555

15,0

76

66,4

4051

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117,

507

0.79

Tabl

e 1.

5.4:

Gro

ss E

nrol

men

t in

Juni

or H

igh

Scho

ol b

y Co

unty

, Lev

el, S

ex a

nd P

ropr

ieto

r, Li

beria

200

8/20

09

Juni

or H

igh

Com

mun

ity S

choo

lGr

and

Cape

Mou

ntM

issi

on S

choo

lAl

l Sch

ool

Juni

or H

igh

Juni

or H

igh

Juni

or H

igh

Priv

ate

Scho

olJu

nior

Hig

hPu

blic

Sch

ool

Sour

ce: M

inist

ry o

f Edu

catio

n, Li

beria

201

0

Pag

e27

Sta

tistic

al B

ulle

tin


Boys

Girls

Boys

Girls

Boys

Girls

Boys

Girls

Boys

Girls

Tota

lGP

IBo

mi

242

246

00

33

21

104

4437

931

169

00.

82Bo

ng1,

058

437

57

9

11

6

80

86

5

57

42,

096

1,10

03,

196

0.52

Gran

d Ba

ssa

235

179

00

297

122

379

258

911

559

1,47

00.

61Gr

and

Cape

Mt.

8418

00

00

145

9823

121

0.23

Gran

d Ge

deh

596

155

00

29

22

94

6671

924

396

20.

34Gr

and

Kru

125

180

00

00

012

518

143

0.14

1,23

435

821

13

0

036

013

51,

615

506

2,12

10.

31M

argi

bi1,

356

705

175

15

5

430

316

326

326

2,28

71,

502

3,78

90.

66M

aryl

and

1,09

536

30

00

018

0

19

51,

275

558

1,83

30.

44M

onts

erra

do3,

129

1,64

377

7

648

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County GER Boys GER Girls GER BothNER Boys 6-11 NER Girls 6-11NER Both 6-11

Bomi 59% 51% 55% 19% 17% 18%Bong 1% 85% 97% 37% 30% 33%Grand Bassa 100% 79% 89% 32% 28% 30%Grand Cape Mt. 46% 44% 45% 21% 19% 20%Grand Gedeh 69% 65% 67% 19% 18% 19%Grand Kru 148% 105% 127% 42% 30% 36%Lofa 95% 77% 86% 46% 40% 43%Margibi 101% 97% 99% 38% 36% 37%Maryland 99% 80% 90% 24% 17% 21%Montserrado 86% 92% 89% 38% 42% 40%Nimba 116% 102% 109% 33% 30% 31%River Cess 111% 85% 98% 22% 17% 19%Sinoe 77% 64% 70% 19% 17% 18%River Gee 89% 69% 79% 26% 22% 24%Gbapolu 94% 77% 86% 32% 30% 31%National 93% 85% 89% 34% 32% 33%Source: Ministry of Education, Liberia 2008

County GER Boys GER Girls GER Both NER Both12-14

Source: Ministry of Education, Liberia 2008

Table 1.5.7: Estimates of Primary School Level Net and Gross Enrollment Rates by County and Sex, Liberia 2007/2008

Page30 Statiscal Bullltin 2011

County GER Boys GER Girls GER Both NER Both 6-11


County GER Boys GER Girls GER BothNER Boys 12-14 NER Girls 12-14NER Both12-14

Bomi 30% 24% 27% 2% 2% 2%

Grand Cape Mount 37% 26% 31% 2% 1% 1%Grand Bassa 23% 15% 19% 2% 2% 2%Grand Cape Mt. 10% 8% 9% 1% 1% 1%Grand Gedeh 31% 24% 28% 1% 1% 1%Grand Kru 41% 22% 32% 1% 1% 1%Lofa 45% 22% 33% 2% 1% 2%Margibi 57% 47% 52% 8% 7% 8%Maryland 40% 22% 31% 2% 1% 2%Montserrado 63% 62% 63% 11% 11% 11%Nimba 44% 32% 38% 2% 2% 2%River Cess 10% 4% 7% 0% 0% 0%Sinoe 27% 10% 19% 1% 1% 1%River Gee 29% 13% 21% 1% 0% 1%Gbapolu 8% 4% 6% 1% 1% 1%National 45% 36% 40% 5% 5% 5%Source: Ministry of Education, Liberia 2008

Table 1.5.8: Estimates of Junior School Level Net and Gross Enrollment Rates by County and Sex, Liberia 2007/2008




Bomi 14% 12% 13% 1% 0% 1%Bong 20% 10% 15% 3% 2% 3%Grand Bassa 12% 8% 10% 2% 1% 1%Grand Cape Mt. 2% 1% 1% 0% 0% 0%Grand Gedeh 17% 6% 12% 0% 0% 0%Grand Kru 6% 1% 4% 0% 0% 0%Lofa 19% 6% 12% 3% 1% 2%Margibi 35% 23% 29% 6% 6% 6%Maryland 27% 13% 20% 6% 3% 4%Montserrado 50% 43% 47% 14% 13% 13%Nimba 22% 14% 18% 2% 1% 1%River Cess 2% 0% 1% 0% 0% 0%Sinoe 8% 3% 5% 0% 0% 0%River Gee 8% 2% 5% 0% 0% 0%

3% 1% 2% 0% 0% 0%National 28% 30% 24% 6% 5% 6%Source: Ministry of Education, Liberia 2008

County GER Boys GER Girls GER Both NER Both 6-11


Table 1.5.9: Estimates of Senior School Level Net and Gross Enrolment Rates by County and Sex, Liberia 2007/2008

Table 1.5.10: Estimates of Primary School Level Net and Gross Enrolment Rates by County and Sex, Liberia 2008/2009


County GER Boys GER Girls GER Both NER Both12-14


County GER Boys GER Girls GER BothNER Boys 6-11 NER Girls 6-11NER Both 6-11

Bomi 72% 67% 70% 25% 24% 25%Bong 119% 104% 112% 38% 35% 37%Grand Bassa 93% 74% 84% 30% 25% 28% Cape Mount 62% 53% 58% 31% 26% 29%Grand Gedeh 95% 81% 88% 30% 26% 28%Grand Kru 167% 127% 148% 62% 48% 55%Lofa 105% 91% 98% 48% 43% 46%Margibi 105% 97% 101% 43% 40% 42%Maryland 91% 80% 86% 38% 33% 36%Montserrado 128% 112% 119% 60% 53% 57%Nimba 127% 117% 122% 40% 39% 40%River Cess 98% 81% 90% 22% 18% 20%Sinoe 92% 81% 87% 28% 25% 27%River Gee 93% 80% 87% 22% 21% 22%Gbapolu 111% 83% 97% 56% 43% 50%National 112% 99% 106% 44% 40% 42%Source: Ministry of Education, Liberia 2010

Table 1.5.10: Estimates of Primary School Level Net and Gross Enrolment Rates by County and Sex, Liberia 2008/2009





Bomi 45% 39% 42% 6% 6% 6%Bong 45% 33% 40% 2% 2% 2%Grand Bassa 30% 21% 26% 4% 2% 3% Cape Mount 17% 12% 15% 3% 3% 3%Grand Gedeh 33% 25% 29% 2% 2% 2%Grand Kru 44% 27% 37% 2% 2% 2%Lofa 53% 28% 41% 5% 2% 4%Margibi 51% 37% 44% 6% 5% 6%Maryland 42% 30% 36% 2% 2% 2%Montserrado 83% 65% 74% 17% 14% 15%Nimba 48% 39% 44% 4% 3% 3%River Cess 12% 7% 10% 0% 0% 0%Sinoe 25% 15% 21% 1% 2% 1%River Gee 27% 13% 21% 1% 1% 1%Gbapolu 17% 9% 13% 1% 1% 1%National 54% 43% 48% 8% 7% 7%Source: Ministry of Education, Liberia 2010


Bomi 20% 12% 16% 2% 1% 1%Bong 24% 14% 19% 1% 1% 1%Grand Bassa 20% 12% 16% 2% 1% 1% Cape Mount 4% 3% 4% 1% 1% 1%Grand Gedeh 18% 8% 14% 1% 1% 1%Grand Kru 10% 3% 7% 0% 0% 0%Lofa 22% 8% 15% 2% 1% 1%Margibi 32% 21% 27% 2% 1% 2%Maryland 30% 18% 24% 0% 1% 1%Montserrado 64% 48% 55% 16% 13% 14%Nimba 23% 17% 20% 2% 2% 2%River Cess 4% 1% 2% 0% 0% 0%

Sinoe 13% 5% 10% 1% 1% 1%River Gee 9% 3% 6% 0% 0% 0%Gbapolu 3% 1% 2% 0% 0% 0%National 34% 25% 30% 6% 6% 6%Source: Ministry of Education, Liberia 2010

Table 1.5.12: Estimates of Senior School Level Net and Gross Enrolment Rates by County and Sex, Liberia 2008/2009

Table 1.5.11: Estimates of Junior School Level Net and Gross Enrolment Rates by County and Sex, Liberia 2008/2009



County GIR Male GIR Female GIR All NIR Male NIR Female NIR AllBomi 97% 85% 91% 1.8% 2.0% 1.9%Bong 165% 141% 154% 6.2% 6.4% 6.3%Grand Bassa 138% 110% 124% 5.1% 4.2% 4.6%Grand Cape Mount 90% 73% 82% 6.7% 6.1% 6.4%Grand Gedeh 127% 103% 115% 6.6% 5.0% 5.8%Grand Kru 222% 180% 202% 9.4% 5.5% 7.6%Lofa 131% 120% 125% 7.5% 7.3% 7.4%Margibi 149% 139% 144% 8.2% 8.6% 8.4%Maryland 137% 117% 127% 7.5% 4.2% 5.9%Montserrado 174% 153% 163% 14.3% 13.1% 13.7%Nimba 178% 166% 172% 12.4% 12.0% 12.2%River Cess 152% 116% 135% 1.6% 1.4% 1.5%Sinoe 132% 116% 125% 5.5% 5.1% 5.3%River Gee 124% 115% 120% 1.6% 1.6% 1.6%Gbarpolu 200% 153% 177% 9.1% 7.4% 8.3%NATIONAL 155% 136% 46% 9.3% 8.6% 8.9%Source: Ministry of Education, Liberia 2010

County GIR Male GIR Female GIR All NIR Male NIR Female NIR AllBomi 45% 40% 43% 1.6% 1.3% 1.5%Bong 46% 38% 43% 0.3% 0.2% 0.2%

Grand Cape Mount 27% 21% 24% 0.2% 0.8% 0.5%Grand Cape Mount 20% 14% 17% 0.9% 1.1% 1.0%Grand Gedeh 33% 28% 31% 0.3% 0.6% 0.4%Grand Kru 47% 35% 42% 0.3% 0.3% 0.3%Lofa 51% 28% 40% 1.6% 0.6% 1.1%Margibi 44% 35% 39% 1.6% 1.4% 1.5%Maryland 39% 31% 35% 0.9% 0.5% 0.7%Montserrado 83% 65% 73% 6.0% 4.7% 5.3%Nimba 51% 42% 47% 1.9% 1.2% 1.6%River Cess 14% 9% 12% 0.0% 0.0% 0.0%Sinoe 25% 16% 21% 0.5% 0.6% 0.5%River Gee 30% 15% 24% 0.2% 0.1% 0.2%Gbarpolu 19% 12% 16% 0.4% 0.3% 0.3%NATIONAL 53% 43% 48% 2.5% 2.2% 2.4%Source: Ministry of Education, Liberia 2010

Table 1.5.13: Estimates of Primary Level Net and Gross Intake Rates by County and Sex, Liberia 2008/2009

Table 1.5.14: Estimates of Junior High Level Net and Gross Intake Rates by County and Sex, Liberia 2008/2009



GCR Male GCR Female GCR All NCR Male NCR Female NCR AllBomi 51% 46% 49% 0.6% 0.4% 0.5%Bong 86% 77% 82% 2.7% 2.4% 2.6%Grand Bassa 57% 40% 49% 0.4% 0.6% 0.5%Grand Cape Mount 37% 32% 35% 0.1% 0.5% 0.3%Grand Gedeh 95% 70% 84% 0.4% 0.0% 0.2%Grand Kru 109% 66% 89% 0.5% 0.4% 0.4%Lofa 98% 74% 87% 4.7% 2.2% 3.6%Margibi 78% 66% 72% 4.5% 4.6% 4.5%Maryland 61% 53% 57% 0.4% 1.4% 0.4%Montserrado 105% 88% 96% 5.6% 5.1% 5.3%Nimba 91% 79% 85% 4.3% 3.3% 3.8%River Cess 53% 37% 46% 0.0% 0.0% 0.0%Sinoe 50% 33% 42% 0.2% 0.4% 0.3%River Gee 57% 33% 46% 0.0% 0.2% 0.1%Gbarpolu 61% 45% 53% 0.9% 0.8% 0.9%NATIONAL 86% 73% 80% 3.5% 3.2% 3.4%Source: Ministry of Education, Liberia 2008/2009

County GCR Male GCR Female GCR All NCR Male NCR Female NCR All

Grand Cape Mount 38% 25% 32% 0.5% 0.2% 0.3%

Table 1.5.16: Estimates of Primary Level Net and Gross Completion Rates by County and Sex, Liberia 2008/2009

Table 1.5.17: Estimates of Junior High Level Net and Gross Completion Rates by County and Sex, Liberia 2008/2009


County GIR Male GIR Female GIR All NIR Male NIR Female NIR AllBomi 21% 12% 17% 0.2% 0.0% 0.1%Bong 24% 16% 20% 0.2% 0.2% 0.2%Grand Bassa 17% 11% 14% 0.2% 0.4% 0.3%Grand Cape Mount 4% 3% 4% 0.3% 0.3% 0.3%Grand Gedeh 19% 10% 15% 1.0% 0.0% 0.0%Grand Kru 11% 4% 8% 0.0% 0.0% 0.0%Lofa 19% 8% 14% 0.5% 0.1% 0.3%Margibi 31% 21% 26% 0.9% 0.3% 0.6%Maryland 33% 20% 27% 0.0% 0.0% 0.0%Montserrado 61% 44% 52% 4.3% 3.0% 3.6%Nimba 22% 18% 20% 0.2% 0.3% 0.2%River Cess 4% 2% 3% 0.0% 0.0% 0.0%Sinoe 17% 8% 13% 0.0% 0.0% 0.0%River Gee 12% 4% 9% 0.0% 0.0% 0.0%Gbarpolu 4% 2% 3% 0.0% 0.0% 0.0%

32% 25% 29% 1.5% 1.2% 1.4%Source: Ministry of Education, Liberia 2010

Table 1.5.15: Estimates of Senior High School Level Net and Gross Intake Rates by County and Sex, Liberia 2008/2009



GCR Male GCR Female GCR All NCR Male NCR Female NCR All

County GCR Male GCR Female GCR All NCR Male NCR Female NCR AllBomi 33% 29% 31% 0.0% 0.0% 0.0%

Grand Cape Mount 38% 25% 32% 0.5% 0.2% 0.3%Grand Bassa 23% 17% 20% 0.4% 0.3% 0.4%Grand Cape Mount 11% 8% 10% 1.2% 1.2% 1.2%Grand Gedeh 23% 13% 18% 0.0% 0.1% 0.0%Grand Kru 29% 12% 22% 0.0% 0.2% 0.1%Lofa 43% 18% 31% 0.8% 0.4% 0.6%Margibi 63% 32% 47% 1.1% 0.8% 0.9%Maryland 30% 20% 26% 0.0% 0.1% 0.0%Montserrado 75% 57% 66% 5.0% 3.5% 4.1%Nimba 37% 27% 32% 0.8% 0.7% 0.8%River Cess 9% 4% 7% 0.0% 0.0% 0.0%Sinoe 189% 11% 16% 0.0% 0.1% 0.0%River Gee 16% 8% 12% 0.1% 0.1% 0.1%Gbarpolu 12% 2% 7% 0.3% 0.0% 0.2%NATIONAL 46% 34% 40% 1.9% 1.6% 1.8%Source: Ministry of Education, Liberia 2008/2009

Table 1.5.17: Estimates of Junior High Level Net and Gross Completion Rates by County and Sex, Liberia 2008/2009


County GCR Male GCR Female GCR All NCR Male NCR Female NCR AllBomi 11% 7% 9% 0.2% 0.2% 0.2%Bong 21% 10% 15% 0.1% 0.1% 0.1%Grand Bassa 18% 10% 14% 0.1% 0.4% 0.2%Grand Cape Mount 3% 2% 2% 0.0% 0.0% 0.0%Grand Gedeh 16% 6% 11% 0.0% 0.0% 0.0%Grand Kru 7% 1% 4% 0.0% 0.0% 0.0%Lofa 23% 6% 15% 0.9% 0.0% 0.5%Margibi 32% 18% 25% 0.1% 0.1% 0.1%Maryland 24% 17% 21% 0.0% 0.0% 0.0%Montserrado 60% 46% 53% 5.3% 4.9% 5.1%Nimba 23% 14% 19% 0.5% 0.2% 0.4%River Cess 2% 0% 1% 0.0% 0.0% 0.0%Sinoe 10% 2% 6% 0.0% 0.0% 0.0%River Gee 7% 1% 4% 0.0% 0.0% 0.0%

2% 0% 1% 0.0% 0.0% 0.0%NATIONAL 34% 24% 29% 2.1% 2.0% 2.0%Source: Ministry of Education, Liberia 2008/2009

Table 1.5.18: Estimates of Senior High Level Net and Gross Completion by County and Sex, Liberia 2008/2009


County Primary Junior High Senior HighBomi 49 35 36Bong 74 21 32Grand Bassa 87 21 33

Grand Cape Mount 39 11 8Grand Gedeh 157 53 40Grand Kru 82 14 9Lofa 85 26 25Margibi 48 20 35Maryland 114 29 37Montserrado 47 23 31Nimba 63 18 21River Cess 77 12 9Sinoe 69 13 19River Gee 68 15 21Gbapolu 75 9 9National 60 22 29

County Primary Junior High Senior HighBomi 33 20 17Bong 32 15 19Grand Bassa 27 14 16

Grand Cape Mount 26 13 11Grand Gedeh 23 13 12Grand Kru 26 8 9Lofa 34 18 26Margibi 31 15 17Maryland 29 18 24Montserrado 25 15 19Nimba 30 11 17River Cess 29 7 31Sinoe 17 5 14River Gee 23 10 20Gbapolu 39 10 8National 27 14 19Source: Ministry of Education, Liberia 2010Teachers double-counted; some teach at more than one level

2007/2008Table 1.5.19: Distribution of Pupil to Teacher Ratio (PTR) by County and Level, Liberia 2007-200



Table 1.5.19: Distribution of Pupil to Teacher Ratio (PTR) by County and Level, Liberia 2007-2009

Source: Ministry of Education, Liberia


0

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y, L

evel

, Sex

and

Pro

prie

tor,

Lib

eria

200

8/20

09

Boys

Girls

Boys

Girls

Boys

Girls

Boys

Girls

Boys

Girls

Tota

lGP

IBo

mi

3,37

8

2,87

4

467

38

1

89

8

79

0

49

6

47

9

5,

239

4,52

4

9,

763

0.93

Bong

24,2

16

18,6

56

4,99

0

4,

041

1,

352

1,

362

2,

647

2,

415

33

,205

26,4

74

59,6

79

0.88

Gran

d Ba

ssa

10,2

66

6,84

8

2,60

8

2,

207

1,

789

1,

347

2,

354

2,

026

17

,017

12,4

28

29,4

45

0.79

Gran

d Ca

pe M

t.5,

891

4,

476

53

8

395

184

154

340

315

6,95

3

5,

340

12,2

93

0.86

Gran

d Ge

deh

7,81

7

5,99

8

682

63

3

31

9

29

2

65

0

56

5

9,

468

7,48

8

16

,956

0.

86Gr

and

Kru

8,63

4

5,78

9

-

-

23

21

664

566

9,32

1

6,

376

15,6

97

0.76

Lofa

21,3

87

17,4

23

2,18

5

1,

732

7

10

2,41

6

2,12

1

25,9

95

21

,286

47

,281

0.

86M

argi

bi8,

631

7,

758

4,

280

4,30

0

4,05

3

4,06

9

1,29

3

1,27

9

18,2

57

17

,406

35

,663

0.

93M

aryl

and

8,46

9

6,62

0

596

41

1

1,

369

1,

018

1,

793

1,

802

12

,227

9,85

1

22

,078

0.

88M

onts

erra

do26

,767

23

,931

9,

843

10,1

35

47,5

44

49

,944

20,4

17

20

,064

104,

571

10

4,07

4

20

8,64

5

0.88

Nim

ba38

,101

31

,575

5,

143

4,36

8

2,89

1

2,78

3

5,40

3

4,96

8

51,5

38

43

,694

95

,232

0.

92Ri

ver C

ess

5,61

8

3,94

3

525

32

2

-

-

499

400

6,64

2

4,

665

11,3

07

0.83

Sino

e7,

187

5,

254

62

7

628

342

258

760

674

8,91

6

6,

814

15,7

30

0.88

Rive

r Gee

5,69

3

4,23

3

393

30

1

31

19

26

5

21

5

6,

382

4,76

8

11

,150

0.

86Gb

arpo

lu7,

726

5,

710

12

1

74

52

32

370

232

8,26

9

6,

048

14,3

17

0.75

NAT

ION

AL18

9,78

1

15

1,08

8

32

,998

29

,928

60

,854

62,0

99

40

,367

38,1

21

32

4,00

0

281,

236

605,

236

0.

88S

ourc

e: M

inis

try

of E

duca

tion,

Lib

eria

201

0

Tab

le 1

.5.2

0: E

nrol

men

t of i

nstit

utio

ns g

rant

ing

bacc

alau

reat

e de

gree

by

age

sex

and

clas

ses

2009

/201

0Fr

eshm

anSo

phom

ore

Juni

orSe

nior

Grad

uate

Tota

l

Prim

ary

Publ

ic S

choo

lCo

mm

unity

Sch

ool

Priv

ate

Scho

olM

issio

n Sc

hool

All S

choo

lPr

imar

yPr

imar

yPr

imar

yPr

imar

y

Pag

e 38

Sta

tistic

al B

ulle

tin 2

011


Indicator 1986 2000 2007 2008 2009Child Mortality 69 41 41 45

Infant Mortality Rate (per 1000 li births)

144 117 71 78 73

Under 5 Mortality Rate (per 1000 li births)

220 194 110 112 114

Neonatal Mortality Rate (per 1000 li births)

38 32 38

Post-Neonatal Mortality Rate (per 1000 live births)

76 39 35

Maternal Mortality Rate 260 578 994 890

Crude Birth Rate (per 1000) 37.6 43

Crude Death Rate (per 1000) 20.1 21

Life Expectancy at Birth (in years) 48.8 52.7

Total Fertility Rate 6.6 6.2 5.2 5.8 5.9

FunctionalNon-Functio Total

Bomi 16 2 18 24 8 69%

Bong 29 2 31 38 9 48%

Gbarpolu 14 11 25 14 0 32%

Grand Bassa 22 8 30 30 8 51%

Grand C Mt. 20 10 30 32 12 66%Grand Gedeh 13 5 18 18 5 55%Grand Kru 10 6 16 17 7 59%

Grand Cape Mount 40 11 51 55 15 70%Margibi 27 1 28 33 6 74%Maryland 14 6 20 24 10 78%Montserrado 60 14 74 139 79 96%Nimba 50 8 58 60 10 58%

River Cess 18 2 20 17 -1 46%River Gee 15 3 18 17 2 64%

Sinoe 6 21 27 32 26 61%Total 354 110 464 550 196 71%Clinics : Approximately 30 new clinics were constructed between 2006 to 2011Note : Difference in public health facility is due to new construction, major renovation and upgrade from lower to higher level

Table 1.11.1: Total Health Facility Status by County, Liberia 2006 and 2011

Source: Ministry of Health and Social Welfare

# of Increased

Access to HF within 5 KMCounty

2006 Health Facility Status2011

Functional HF

Table 1.11.2: Total Health Facility Status by County, Liberia 2006 and 2011



Publ

icPr

ivat

ePu

blic

Priv

ate

Publ

icPr

ivat

ePu

blic

Priv

ate

Publ

icPr

ivat

ePu

blic

Priv

ate

Bom

i16

131

11

2420

31

Bon

g29

223

22

3831

31

3G

barp

olu

1412

214

121

1G

rand

Bas

sa22

171

11

230

261

12

Gra

nd C

ape

Mt

2018

232

292

1G

rand

Ged

eh13

111

118

141

21

Gra

nd K

ru10

82

1712

41

Lofa

4031

955

483

31

Mar

gibi

2719

31

31

3320

110

11

Mar

ylan

d14

81

31

124

202

11

Mon

tser

rado

6018

263

72

4139

3878

77

54

Nim

ba50

3110

51

12

6042

84

12

3R

iver

Ces

s18

171

1716

1R

iver

Gee

1511

417

131

3S

inoe

65

132

283

1To

tal

354

241

4536

149

9550

369

100

2819

2311

Sour

ce: M

inist

ry o

f Hea

lth &

Soc

ial W

elfa

re

Clin

icHe

alth

Cen

ter

Hosp

ital

Tota

lCl

inic

Tab

le 1

.11.

3: H

ealth

Fac

ility

by

Cou

nty

and

Typ

e, L

iber

ia 2

006

and

2010

Coun

ty

2006

2010

Tota

lHo

spita

lHe

alth

Cen

ter

Pag

e 40

Sta

tistic

al B

ulle

tin 2

011


Cadr

e Bo

mi

Bong

Gbar

polu

Gran

d Ba

ssa

Gran

d Ca

pe

Mou

ntGr

and

Gede

hGr

and

Kru

Lofa

Mar

gibi

Mar

ylan

dM

onts

erra

doN

imba

Rive

r Ce

ssRi

ver

Gee

Sino

eN

atio

nal

Phys

icia

n0.

010.

010.

010.

020.

010.

020.

020.

030.

020.

040.

040.

010.

010

0.01

0.03

Nur

se0.

630.

370.

320.

40.

390.

320.

210.

430.

430.

350.

460.

260.

550.

390.

420.

4Ce

rtifi

ed M

idw

ife0.

270.

130.

120.

080.

110.

070.

120.

130.

170.

080.

140.

060.

110.

130.

080.

12Ph

ysic

ian

Assis

tant

0.08

0.03

0.05

0.05

0.07

0.08

0.07

0.07

0.05

0.13

0.11

0.07

0.11

0.16

0.06

0.08

Nur

se A

ide

0.81

0.28

0.43

0.36

0.34

0.4

0.86

0.86

0.58

0.42

0.42

0.31

0.39

0.58

0.63

0.46

Trad

ition

al M

idw

ife0

0.01

0.12

0.06

0.03

0.07

0.29

0.21

0.01

0.07

0.02

0.09

0.18

0.13

0.34

0.07

Dent

ist0

00

00

0.01

00

00

0.02

00

00

0.01

Envi

ron

Heal

th T

ech.

0.07

0.01

0.08

0.06

0.02

0.05

0.09

0.02

0.03

0.09

0.07

0.02

0.1

0.09

0.11

0.05

Lab

Tech

nici

an /A

ssist

ant

0.14

0.07

0.07

0.08

0.06

0.1

0.12

0.12

0.15

0.07

0.11

0.14

0.03

0.12

0.16

0.11

X-Ra

y Te

chni

cian

00

00

00

00.

010.

010

0.01

00

00

0.01

Phar

mac

ist0.

020.

010.

010.

010.

020.

020

0.02

0.01

00.

020

00

0.02

0.01

Oth

er H

ealth

Cad

res

0.24

0.18

0.11

0.13

0.31

0.22

0.22

0.19

0.15

0.23

0.19

0.17

0.28

0.39

0.39

0.2

Clin

ical

HW

s2.28

1.12

1.33

1.25

1.35

1.36

22.09

1.62

1.48

1.61

1.13

1.76

2.01

2.21

1.54

Non

-Clin

ical

HW

s1.37

0.73

0.66

0.78

0.92

0.92

1.86

10.81

1.18

0.94

0.69

1.12

0.96

1.61

0.92

Tota

l3.

651.

851.

992.

032.

272.

283.

873.

12.

432.

662.

551.

822.

882.

963.

822.

46S

ourc

e: M

inis

try

of H

ealth

and

Soc

ial W

elfa

re, L

iber

ia 2

009

Cou

nty

Tabl

e 1.

11.4

: Pop

ulat

ion

Heal

th W

orke

r Rat

io (p

er 1

,000

) by

Coun

ty a

nd b

y Ca

dre,

200

9

Pag

e 41

Sta

tistic

al B

ulle

tin 2

011


County Malaria Diarrhea Pneumonia Malnutrition Others Total Bomi 26,997 2,422 12,002 6,258 124 47,803 Bong 55,902 3,578 7,069 15,236 149 81,934 Gbarpolu 9,781 831 5,431 1,189 43 17,275 Grand Bassa 28,745 1,886 4,168 4,827 119 39,745 Grand Cape Mt 26,564 3,478 14,373 4,775 271 49,461

Grand Gedeh 16,286 644 1,481 1,360 126 19,897 Grand Kru 9,299 764 1,175 2,596 42 13,876

Lofa 59,175 7,122 8,267 9,221 75 83,860 Margibi 37,388 4,919 16,097 3,527 140 62,071 Maryland 19,478 2,004 3,049 6,316 144 30,991 Montserrado 73,981 7,353 12,962 17,635 967 112,898 Nimba 77,632 6,679 11,463 15,885 149 111,808 River Gee 14,870 1,734 1,186 66 17 17,873 RiverCess 14,761 1,558 2,612 414 58 19,403 Sinoe 14,016 1,193 1,312 891 31 17,443 National 484,875 46,165 102,647 90,196 2,455 726,338

Diseases



Coun

tyGy

n.M

edic

al

Obs

t. Pe

diat

ricAn

emia

ARI

Hep.

Hy

pert

. In

jury

M

alnu

tO

ther

s To

tal

Bom

i 11

244

179

344

6165

211

83

208

1,13

6Bo

ng

121

3,03

41,

950

3,32

485

655

541

124

336

134

6,54

717

,022

Gbar

polu

95

704

3449

628

410

2851

380

42,

284

G. B

assa

95

3,70

61,

387

2,89

442

977

415

194

405

653,

346

13,3

10G.

C. M

t 21

700

110

549

8319

40

4531

111,

059

2,80

3G.

Ged

eh

136

773

294

759

119

5425

6711

417

2,01

04,

368

G. K

ru

7122

334

381

914

27

201

516

1,27

8Lo

fa

132

6,10

81,

710

4,45

977

31,

049

9443

71,

226

8014

,171

30,2

39M

argi

bi

102

1,69

978

61,

866

760

708

1,44

629

253

164

7,63

115

,885

Mar

ylan

d 71

1,06

113

649

423

134

6524

515

1,35

63,

483

Mon

ts.

13,4

3439

,589

1,10

114

,663

5,61

88,

841

465,

789

4,86

06,

407

39,4

8813

9,83

6N

imba

43

03,

691

1,30

42,

897

967

237

5118

225

984

4,14

614

,248

Rive

r Gee

7

173

2611

66

70

55

317

051

8Ri

ver C

ess

2125

991

7223

281

2232

145

51,

005

Sino

e 0

664

050

493

380

5127

151,

499

2,89

1Libe

ria14

,747

62,628

9,14

233

,818

9,84

812

,618

1,72

77,31

98,15

06,90

383

,406

250,30

6

Tabl

e 1.

11.6

: In-

patie

nt A

dmis

sion

s by

Coun

ty in

201

0

Cond

ition

s

Pag

e 43

Sta

tistic

al B

ulle

tin 2

011

Curr

ent P

rices

2005

2006

2007

2008

2009

2010

2011

2012

2013

2014

2015

1 Pr

imar

y Ac

tivity

404.

3044

4.50

515.

8058

5.20

662.

6769

5.80

744.

5196

7.86

1258

.22

1635

.69

2126

.40

1.1

Agric

ultu

re29

8.50

329.

1039

1.10

456.

6053

0.01

556.

5159

5.47

774.

1110

06.3

513

08.2

517

00.7

21.

2 Li

vest

ock

3.40

1.80

1.90

2.00

2.32

2.44

2.61

3.39

4.41

5.73

7.45

1.3

Fore

stry

99.5

011

1.80

120.

9012

4.60

128.

2813

4.69

144.

1218

7.35

243.

5631

6.63

411.

621.

4 Fi

shin

g2.

901.

801.

902.

002.

062.

162.

313.

013.

915.

086.

612

Seco

ndar

y Ac

tiviti

es56

.50

72.3

084

.20

100.

3010

6.41

111.

7611

9.58

155.

4620

2.10

262.

7234

1.54

2.1

Min

ing

and

Qua

rryi

ng0.

303.

608.

2020

.20

21.9

223

.02

24.6

332

.01

41.6

254

.10

70.3

32.

2 M

anuf

actu

ring

32.9

043

.70

48.9

051

.40

54.0

056

.70

60.6

778

.87

102.

5313

3.29

173.

282.

3 En

ergy

(wat

er, e

lect

ricity

&

4.50

4.80

5.40

5.60

5.96

6.27

6.71

8.72

11.3

314

.73

19.1

52.

4 Co

nstr

uctio

n18

.80

20.2

021

.70

23.1

024

.53

25.7

827

.58

35.8

646

.61

60.6

078

.78

3 Te

rtia

ry A

ctiv

ities

119.

9013

2.00

148.

3015

8.40

170.

3317

7.28

188.

4324

4.96

318.

4541

3.99

538.

193.

1 Tr

ansp

ort a

nd C

omm

unic

atio

n39

.00

40.5

043

.50

48.3

053

.44

54.0

757

.86

75.2

197

.78

127.

1116

5.24

3.2

Trad

e29

.20

36.0

043

.40

45.0

047

.60

50.3

852

.65

68.4

588

.98

115.

6715

0.37

3.3

Bank

ing

and

Fina

nce

13.4

014

.40

15.8

016

.20

17.2

518

.13

19.4

025

.22

32.7

842

.62

55.4

0

3.4

Oth

er B

usin

ess S

ervi

ces

14.0

015

.00

16.7

017

.60

18.7

419

.70

21.0

827

.40

35.6

246

.31

60.2

13.

5 N

on-P

rofit

Ser

vice

s24

.30

26.1

028

.90

31.3

033

.30

35.0

037

.45

48.6

863

.29

82.2

810

6.96

FISI

M-6

.48

-6.9

7-7

.64

-7.8

4-8

.34

-8.7

7-9

.38

-12.

20-1

5.86

-20.

62-2

6.80

GDP

at F

acto

r Cos

t58

0.70

648.

8074

8.30

843.

9093

9.40

984.

8410

52.5

313

68.2

917

78.7

723

12.4

030

06.1

2

Net

Dut

ies a

nd T

axes

on

Prod

ucts

27.3

452

.90

68.8

076

.00

84.6

088

.69

94.7

912

3.23

160.

1920

8.25

270.

73 G

DP a

t Mar

ket P

rices

608.

0470

1.70

817.

1091

9.90

1024

.01

1073

.54

1147

.32

1491

.51

1938

.96

2520

.65

3276

.85

Gran

d Ca

pe M

ount

9.67

15.4

016

.45

12.5

811

.32

4.84

6.87

8.93

11.6

115

.10

19.6

3G

DP P

er-C

apita

202.

6822

6.35

255.

3426

2.83

274.

2026

9.41

268.

3433

1.45

405.

6449

4.25

618.

27Po

pula

tion

3.00

3.10

3.20

3.48

3.63

3.78

3.98

4.50

4.78

5.10

5.30

Sour

ces:

Lib

eria

Inst

itute

of S

tatis

tics a

nd G

eo-In

form

atio

n Se

rvic

es (L

ISGI

S)

(in m

illio

ns o

f US$

)

Tab

le 2

.1: L

iber

ia S

ecto

ral 0

rigin

of G

DP a

t Cur

rent

Pric

es

Pag

e 44

Sta

tistic

al B

ulle

tin 2

011


Curr

ent P

rices

2005

2006

2007

2008

2009

2010

2011

2012

2013

2014

2015

1 Pr

imar

y Ac

tivity

388.

7040

4.31

439.

4047

4.00

505.

7553

9.64

579.

0364

3.31

671.

3370

5.40

770.

061.

1 Ag

ricul

ture

289.

3029

5.31

321.

0035

1.90

375.

4840

0.63

429.

8847

7.60

498.

4052

3.70

571.

701.

2 Li

vest

ock

1.40

1.60

1.70

1.80

1.92

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66.9

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ergy

(wat

er, e

lect

ricity

&

gas)

4.40

4.57

4.97

5.15

5.50

5.87

6.29

6.99

7.30

7.67

8.37

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truc

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18.3

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19.9

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6.40

135.

8513

6.44

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7820

6.40

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8723

6.75

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37.9

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47.4

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28.3

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39.9

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15.3

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17.2

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22.9

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s23

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24.4

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00 G

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5.75

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Dut

ies a

nd T

axes

on

Prod

ucts

17.3

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109.

9012

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7014

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80 G

DP a

t Mar

ket P

rices

577.

3065

5.45

711.

8476

9.14

828.

7988

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1.23

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4.88

242.

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8.06

234.

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1.29

243.

273

3.1

3.2

3.5

3.6

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Sour

ces:

Lib

eria

Inst

itute

of S

tatis

tics a

nd G

eo-In

form

atio

n Se

rvic

es (L

ISGI

S)

Tabl

e 2.

2: L

iber

ia se

ctor

al 0

rigin

of G

.D.P

at C

onst

ant P

rice

(In m

illio

ns o

f US$

)

(i

n m

illio

ns o

f US$

)

Pag

e 45

Sta

tistic

al B

ulle

tin 2

011



2002

2003

2004

2005

2006

2007

2008

2009

2010

Wor

ld O

utpu

t - G

DP2.

83.

64.

94.

55.

15.

13.

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vanc

ed E

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mic

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61.

93.

22.

63.

02.

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0-3

.30.

3

U

nite

d St

ates

1.6

2.5

3.6

2.9

2.8

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o ar

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90.

82.

21.

72.

92.

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0

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pan

0.3

1.4

2.7

1.9

2.0

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-5.8

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Can

ada

2.9

1.9

3.1

2.9

3.1

2.7

0.5

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1.2

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ted

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dom

2.1

2.8

2.8

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nd d

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g ec

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Afr

ica

7.2

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eria

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32.

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37.

89.

57.

16.

28.

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ntra

l and

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tern

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ope

4.4

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29.

89.

37.

34.

55.

6So

urce

: Min

istry

of C

omm

erce

and

Indu

stry

, Lib

eria

Tabl

e 2.

2.1:

W

orld

Out

look

/Pro

ject

(GDP

- %

cha

nge)

Pag

e 46

Sta

tistic

al B

ulle

tin 2

011

HS8 Digit Product Code and Description FOB ValueTotal 168,866,999.8803053000:Fish fillets, dried, salted or in brine, but not smoked 300.00 03055900:Dried fish not smoked (excl. cod) 375.00 03056900:Other fish salted or in brine but not dried or smoked, nes 900.00 07129000:Dried vegetables, nes 320.00 07131000:Dried peas, shelled 1,620.00 07139000:Dried leguminous vegetables, shelled, nes 15.00 08029010:08029010 450.00 08029090:08029090 4,030.00 09019000:Coffee husks and skins,coffee substitutes containing coffee 12,000.00 09041200:Pepper, crushed or ground 20.00 09109900:Other spices, nes 869.23 10030000:Barley 25,000.00 10059000:Maize (excl. seed) 15.00 10070000:Grain sorghum 41,257.50 11043000:Cereal germ, whole, rolled, flaked or ground 225.00 11062010:Flour,meal and powder of cassava(including cassava flakes or garri) 90.00 11062020:Flour,meal and powder of yarn 225.00 12074000:Sesamum seeds 100.00 15071000:Crude soya-bean oil 38,130.00 15079000:Soya-bean oil (excl. crude) and fractions 6,630.00

Grand Cape Mount 55,500.00 15111090:Other crude palm oil 107,260.00 15119090:Other crude palm oil 47,467.50 18010011:Superior quality raw cocoa beans 23,200.00 18010018:Other quality raw cocoa beans 118,272.00 18010019:Roasted cocoa beans 2,493,400.00 18010020:Broken cocoa beans 649,084.00 21031000:Soya sauce 4,000.00 21041010:Soups and broths preparations in blocks or loaves form 4,790.00 21042000:Homogenized composite food preparations 3,500.00 25084000:Other clays, nes 959.23 26011120:Non-agglomerated Iron ores fines 600,000.00 28151200:Sodium hydroxide in aqueous solution (soda lye or liquid soda) 2,200.00 28429000:Other salts of inorganic acids or peroxoacids (excl. azides) 15.00 30065000:First-aid boxes and kits 1,076.93

Table 2.3.1:Export by HS Code Eight Digit, Product Description and FOB Value In USD, Liberia, 2010




Table 2.3.1:Export by HS Code Eight Digit, Product Description and FOB Value In USD, Liberia, 2010 Cont'dHS8 Digit Product Code and Description FOB Value

34052000:Polishes, creams/similar preparat.for mainten.of woodwork 769.23 34059000:Other polishes, creams and similar preparations, nes 150.00 38081090:Other insecticides 180.00 39201000:Plates..., of polymers of ethylene, not reinforced, etc 533.91 39221000:Baths, shower-baths and wash-basins, of plastics 1,076.93 39239000:Articles for the packing of goods, of plastics, nes 125.00 39251000:Reservoirs... & sim. containers, capacity >300 l, of plastics 769.23 39261000:Office or school supplies of plastics 100.00 39269090:Other articles of plastics and articles of materials of headings 3901 to 3914 533.91 40011000:Natural rubber latex, in pry. forms/in plates, sheets/strip 59,339,374.33 40012900:Other natural rubber, in primary forms or in plates, etc, nes 74,513,682.86 42021920:Other Trunks, suitcases, vanity cases, executive cases, brief cases, school satchets and 533.91 42021990:Trunks,suit-cases,vanity cases,of other materialsCKD or blank by est.manuf 1,569.23 44011000:Fuel wood, in logs, in billets... or in similar forms 319,320.31

18,110.43 44111100:Fibreboard of a density >0.8g/cm3, not worked/surface covered 19,274.12 44130000:Densified wood, in blocks, plates, strips or profile shapes 14,850.30 44190000:Tableware and kitchenware, of wood 1,150.00 44219090:Other articles of woods 533.91 47032900:Semi- or bleached non-conif. chemical wood pulp, soda..., nes 110.00 48236000:Trays, dishes, plates and cups, etc, of paper or paperboard 1,946.16 49019100:Dictionaries&encyclopaedias, & serial instalments thereof 6,553.25 49019910:Scientific or school printed bks,brochures,leaflets & similar articles 1,011.18 49111000:Trade advertising material, commercial catalogues and the like 400.00 49119100:Pictures, designs and photographs 769.23 54079400:Printed woven fabrics of synthetic filament yarn, nes 360.00 63031200:Curtains, etc; valances of syn fibres, knitted or crocheted 533.91 63090000:Worn clothing and other worn articles 87,469.84 64019100:Other footwear covering the knee with outer soles and plastics on the uppers parts 5,364,415.00 64041100:Sports footwear; tennis shoes, basketball shoes, gym shoes, training shoes and the like, 562.50 64042000:Footwear with outer soles ofleather or composition leather 132.00 68041000:Millstones and grindstones for milling, grinding or pulping 300.00 69111000:Tableware and kitchenware, of porcelain or china 533.91 70132100:Drinking glasses of lead crystal 1,846.16 70139900:Glassware for toilet, office, indoor decorations, etc, nes 769.23 72044900:Ferrous waste and scrap, nes 6,750.00


Table 2.3.1:Export by HS Code Eight Digit, Product Description and FOB Value In USD, Liberia, 2010 Cont'd

HS8 Digit Product Code and Description FOB Value

72082600:F/hrolled i/steel,incoil,w.>=600mm,pickled>=3mm but<4.7mm thck 25,000 72162100:L sections of iron/steel, hot-rolled..., <80mm high 14,576 72162200:T sections of iron/steel, hot-rolled..., <80mm high 10,691 72223000:Stainless steel bars and rods, nes 534 73011000:Sheet piling of iron or steel 2,100,000 73012000:Angles, shapes and sections of iron or steel 54,000 73030010:Tubes,pipes & hollow profiles of cast iron: for supplies under pressure 126,300 73030090:Other tubes,pipes & hollow profiles of cast iron 2,047,950 73231000:I/steel wool,pot scourers,scouring or polishing pads, gloves 290 73239990:Table,kitchen or household article others 15,000 73261900:Forged or stamped articles of iron or steel, nes 8,750 73269090:Other articles of iron or steel 1,080 74170000:Domestic cooking/heating apparatus...(non-electric)of copper 769 76151100:Pot scourer & scouring/polishing pads,gloves&the like,of alumi. 30 78060000:0ther articles of lead nes 6,220 82159900:Spoons, forks, ladles, skimmers... or similar tableware, nes 769 83025000:Hat-racks,hat-pegs,brackets and similar fixtures of base metal 769 83071010:Cable shearths of iron or steel 200 84211200:Centrifugal clothes-dryers 225 84231000:Personal weighing mach(incl.baby scales),household scales 50 84301000:Pile-drivers and pile-extractors 2,612,502 84435100:Ink-jet printing machines 51,955 84591000:Way-type unit head mach. for drill.,boring...by removing metal 415,000 84678900:Tools for working in the hand, with non-electric motor, nes 45 84719000:Other automatic data processing machines and units thereof 50 84796000:Evaporative air coolers 2,380 84798200:Mach.for mixing,kneading,crushing,grinding,having ind.function 40,000 85030000:Parts suitable for use solely or principally with the machines of heading No. 85.01 or 8 4,087 85059000:Electro-magnetic/permanent magnet chucks,etc;parts of magnets 534 85091000:Electro-mechanical domestic vacuum cleaners,wth elec.motor 969 85124000:Windscreen wipers, defrosters and demisters for motor vehicles 1,077 85167100:Electro-thermic coffee or tea makers 5,500 85167200:Electro-thermic toasters 1,303 85191000:Coin- or disc-operated record-players 769 85199900:Sound reproducing apparatus with no recording device, nes 67 85251000:Transmission apparatus for radio telephony, radio telegraphy, radio broadcasting or telephone 156,546




72082600:F/hrolled i/steel,incoil,w.>=600mm,pickled>=3mm but<4.7mm thck 25,000.00 72162100:L sections of iron/steel, hot-rolled..., <80mm high 14,575.50 72162200:T sections of iron/steel, hot-rolled..., <80mm high 10,691.28 72223000:Stainless steel bars and rods, nes 533.91 73011000:Sheet piling of iron or steel 2,100,000.00 73012000:Angles, shapes and sections of iron or steel 54,000.00 73030010:Tubes,pipes & hollow profiles of cast iron: for supplies under pressure 126,300.00 73030090:Other tubes,pipes & hollow profiles of cast iron 2,047,950.00 73231000:I/steel wool,pot scourers,scouring or polishing pads, gloves 290.15 73239990:Table,kitchen or household article others 15,000.00 73261900:Forged or stamped articles of iron or steel, nes 8,750.00 73269090:Other articles of iron or steel 1,080.00 74170000:Domestic cooking/heating apparatus...(non-electric)of copper 769.25 76151100:Pot scourer & scouring/polishing pads,gloves&the like,of alumi. 30.00 78060000:0ther articles of lead nes 6,220.00 82159900:Spoons, forks, ladles, skimmers... or similar tableware, nes 769.23 83025000:Hat-racks,hat-pegs,brackets and similar fixtures of base metal 769.23 83071010:Cable shearths of iron or steel 200.00 84211200:Centrifugal clothes-dryers 225.00 84231000:Personal weighing mach(incl.baby scales),household scales 50.00 84301000:Pile-drivers and pile-extractors 2,612,501.90 84435100:Ink-jet printing machines 51,955.20 84591000:Way-type unit head mach. for drill.,boring...by removing metal 415,000.00 84678900:Tools for working in the hand, with non-electric motor, nes 44.99 84719000:Other automatic data processing machines and units thereof 50.00 84796000:Evaporative air coolers 2,380.07 84798200:Mach.for mixing,kneading,crushing,grinding,having ind.function 40,000.00 85030000:Parts suitable for use solely or principally with the machines of heading No. 85.01 or 8 4,086.76 85059000:Electro-magnetic/permanent magnet chucks,etc;parts of magnets 533.91 85091000:Electro-mechanical domestic vacuum cleaners,wth elec.motor 969.23 85124000:Windscreen wipers, defrosters and demisters for motor vehicles 1,076.84 85167100:Electro-thermic coffee or tea makers 5,500.00 85167200:Electro-thermic toasters 1,303.14 85191000:Coin- or disc-operated record-players 769.23 85199900:Sound reproducing apparatus with no recording device, nes 66.66 85251000:Transmission apparatus for radio telephony, radio telegraphy, radio broadcasting or tele 156,546.16





85281211:Colour reception apparatus for television whether or not incorporating radio broadcast r 1,067.24 85312000:Indicator panels wth liquid crystal dev./light emitting diodes 1,076.93 85443000:Ignition wiring sets and other wiring sets of a kind used in vehicles, aircraft or ships 11,300.00 85479000:Insulating fittings, nes, for electrical machines...; conduit tubing... 769.23 87021011:New passenger motorvehicles with compression ignition internal combustion piston engine 40,637.38 87029020:Other Used passenger motor vehicles for the transport of ten or more persons 8,500.00 87032211:Complete Four wheel drive vehicles with spark-ignition internal combustion reciprocating 14,000.00 87032311:Complete Four wheel drive vehicles with spark-ignition internal combustion reciprocating 14,000.00 87032329:Other used passenger motor vehicles > 1500cc <=3000cc 2,333.33 87032422:Used station wagons>3000cc 20,621.72 87032429:Other used passenger motor vehicles>1500cc<=3000cc 28,340.25 87042211:Other used lorries & vans,including fully built units>5 tons<=20 tons 558,018.00 87043211:New complete Dumpers with spark-ignition internal combustion piston engine with g.v.w. 181,462.01 87081000:Bumpers and parts thereof 90,000.00 87091100:Electrical works trucks, self propelled not fitted with handling equipment of the type u 2,221,825.00 87099000:Parts of works trucks of 87.09 54,917.00 87149900:Other parts and accessoried of vehicles of heading 8711 to 8713 200.00 87161000:Trailers & semi-trailers of the caravan type,for housing/camp. 56,686.00 90318000:Instr., appliances and machines for measuring/ checking, nes 34,985.30 90319000:Parts & accessories of measuring instruments... nes, of 90.31 533.91 92060000:Percussion musical instr.(eg drums, xylophones, cymbals, etc) 769.23 92071000:Keyboard instr. with electrically produced/amplified sound 769.23 93052900:Parts and accessories, nes, of shotguns or rifles of 93.03 13,849,436.10 94011000:Seats of a kind used for aircraft 5,500.00 94016900:Seats with wooden frames, not upholstered 33.33 94049000:94049000 2,572.31 95039000:Toys, nes 533.91 95041000:Video games of a kind used with a television receiver 1,846.16 95049000:Articles for funfair, table or parlour games, nes 769.23 95063900:Golf equipment, nes 1,076.93 95069100:Art.& equip.for general physical exercise,gymnastics/athletic 533.91 96019000:Worked bone, tortoise-shell, horn... and articles thereof, nes 2,045.23 96050000:Travel sets for personal toilet, sewing/shoe/clothes cleaning 1,076.93 97011000:Paintings, drawings and pastels executed entirely by hand 2,380.07


Table 2.3.2: Export by HS Code Two Digit, All Product,FOB Value In USD, Liberia, 2009 HS2 Code and all Product Description FOB Value

Total 120,604,860.62

02:MEAT AND EDIBLE MEAT OFFAL 1,901.9004:DAIRY PROD; BIRDS' EGGS; NATURAL HONEY; EDIBLE PROD NES 3,473.5515:ANIMAL/VEG FATS OILS AND THEIR CLEAVAGE PRODUCTS; ETC 559,577.4018:COCOA AND COCOA PREPARATIONS 3,579,790.5421:MISCELLANEOUS EDIBLE PREPARATIONS 450.0024:TOBACCO AND MANUFACTURED TOBACCO SUBSTITUTES 181,250.0040:RUBBER AND ARTICLES THEREOF 76,741,104.1744:WOOD AND ARTICLES OF WOOD; WOOD CHARCOAL 2,672,936.1248:PAPER & PAPERBOARD; ART OF PAPER PULP PAPER/PAPERBOARD 112.0061:ART OF APPAREL & CLOTHING ACCESS KNITTED OR CROCHETED 80.0062:ART OF APPAREL & CLOTHING ACCESS NOT KNITTED/CROCHETED 50.0063:OTHER MADE UP TEXTILE ARTICLES; SETS; WORN CLOTHING ETC 243,400.0064:FOOTWEAR GAITERS AND THE LIKE; PARTS OF SUCH ARTICLES 640.0071:NATURAL/CULTURED PEARLS PREC STONES & METALS COIN ETC 31,715,095.4172:IRON AND STEEL 2,756,400.0073:ARTICLES OF IRON OR STEEL 67,500.0079:ZINC AND ARTICLES THEREOF 8,490.8784:NUCLEAR REACTORS BOILIERS MCHY & MECH APPLIANCE; PARTS 136,252.0785:ELECTRICAL MCHY EQUIP PARTS THEREOF; SOUND RECORDER ETC 15,066.0087:VEHICLES O/T RAILW/TRAMW ROLL-STOCK PTS & ACCESSORIES 44,800.0089:SHIPS BOATS AND FLOATING STRUCTURES 184,429.5894:FURNITURE; BEDDING MATTRESS MATT SUPPORT CUSHION ETC 150.0098:SPECIAL CLASSIFICATION PROVISIONS 1,691,911.01




Reference Export

Total 120,604,860.62MonthJanuary 6,597,380.74February 19,808,024.16March 3,941,063.27April 2,034,824.41May 2,972,449.02June 7,000,733.68July 15,598,049.99August 1,351,458.74September 3,606,259.13October 9,763,342.94November 20,394,112.59December 27,537,161.95

Reference Export

Total 168,866,999.88

Month

Grand Cape Mount 1,507,216.35February 24,353,045.12March 6,866,924.40April 58,007,473.27May 1,634,187.70June 5,013,093.56July 1,609,517.39August 55,254,561.75September 5,461,172.93October 5,123,144.68November 3,205,569.94December 831,092.79

Source: Liberia Institute of Statistics & Geo-Information Services

2009

2010

Table 2.3.3: Export by Reference Month In USD, Liberia Jan-Dec 2009 and 2010


Table 2.3.4: Export by HS Code, All Countries of Destination, FOB Value In USD, Liberia 2010 HS Country Code and Description FOB Value

Total 168,866,999.88 AE:UNITED ARAB EMIRATES 1,890,000.00AN:NETHERLANDS ANTILLES 40,000.00BE:BELGIUM 6,681,959.20CM:CAMEROON 6,055.43CN:CHINA 598,549.92DE:GERMANY 8,220.90DK:DENMARK 111.30ES:SPAIN 3,801,176.90ET:ETHIOPIA 16,722,019.76GB:UNITED KINGDOM 110,000.00GH:GHANA 53,766.78HK:HONG KONG 44,550.75

48,299.76LB:LEBANON 14,456.73MY:MALAYSIA 122,850.00NE:NIGER 36,542.50NG:NIGERIA 526,367.75NL:NETHERLANDS 15,800.00RU:RUSSIAN FEDERATION 34,985.30SE:SWEDEN 7,219.10SG:SINGAPORE 33,630.00SL:SIERRA LEONE 11,551,613.68SN:SENEGAL 18,104,966.68TG:TOGO 61,893.00UA:UKRAINE 200,324.35US:UNITED STATES 108,151,640.09Source: Liberia Institute of Statistics & Geo-Information Services

Table 2.3.5: RE-Export by Reference Month and Value In USD, Liberia, 2010Reference RE-EXPORT

Total 2,243,386.32

Month January 375,000.00February 61,893.00March 113,763.30April 20,000.00May 0.00June 113,635.00July 17,500.00August 1,220,345.00September 20,471.72October 130,686.76November 25,000.00December 145,091.54




Table 2.3.6: Export by HS Code, All Countries of Destination, FOB Value In USD, Liberia, 2009

HS Country Code and Description FOB Value

Total 120,604,860.62

024:ANGOLA 43,600.00036:AUSTRALIA 53,872.52056:BELGIUM 39,510,386.93120:CAMEROON 4,301.90156:CHINA 907,678.19178:CONGO 15,000.00208:DENMARK 167,148.88250:FRANCE 49,000.00270:GAMBIA 28,000.00278:GERMAN DEMOCRATIC REPUBLIC 73,003.50288:GHANA 41,912.90324:GUINEA 185,300.00344:HONG KONG 4,050.00356:INDIA 948,750.00392:JAPAN 6,046.57422:LEBANON 20,575.00528:NETHERLANDS 786,256.00562:NIGER 74,100.00566:NIGERIA 39,172.40Source: Liberia Institute of Statistics & Geo-Information Services


Table 2.3.6: Export by HS Code, All Countries of Destination, FOB Value In USD, Liberia, 2009 HS Country Code and Description FOB Value

Total 120,604,860.62

634:QATAR 202,570.90682:SAUDI ARABIA 180.00694:SIERRA LEONE 20,000.00702:SINGAPORE 1,711.63716:ZIMBABWE 19,730.00724:SPAIN 3,005,244.04748:SWAZILAND 416,132.88752:SWEDEN 5,042.87756:SWITZERLAND 540,924.88784:UNITED ARAB EMIRATES 25,184,269.98804:UKRAINE 1,476.35800 UGANDA 6,609.61826:UNITED KINGDOM OF GREAT BRITAIN 452,554.74834:TANZANIA 50,206.00840:UNITED STATES OF AMERICA 47,740,051.95Source: Liberia Institute of Statistics & Geo-Information Services

Table 2.3.7: Export by HS Code Two Digit, All Product,FOB Value In USD, Liberia, 2009 HS2 Code and all Product Description FOB Value

Total 120,604,860.62

02:MEAT AND EDIBLE MEAT OFFAL 1,901.9004:DAIRY PROD; BIRDS' EGGS; NATURAL HONEY; EDIBLE PROD NES 3,473.5515:ANIMAL/VEG FATS OILS AND THEIR CLEAVAGE PRODUCTS; ETC 559,577.4018:COCOA AND COCOA PREPARATIONS 3,579,790.5421:MISCELLANEOUS EDIBLE PREPARATIONS 450.0024:TOBACCO AND MANUFACTURED TOBACCO SUBSTITUTES 181,250.0040:RUBBER AND ARTICLES THEREOF 76,741,104.1744:WOOD AND ARTICLES OF WOOD; WOOD CHARCOAL 2,672,936.1248:PAPER & PAPERBOARD; ART OF PAPER PULP PAPER/PAPERBOARD 112.0061:ART OF APPAREL & CLOTHING ACCESS KNITTED OR CROCHETED 80.0062:ART OF APPAREL & CLOTHING ACCESS NOT KNITTED/CROCHETED 50.0063:OTHER MADE UP TEXTILE ARTICLES; SETS; WORN CLOTHING ETC 243,400.0064:FOOTWEAR GAITERS AND THE LIKE; PARTS OF SUCH ARTICLES 640.0071:NATURAL/CULTURED PEARLS PREC STONES & METALS COIN ETC 31,715,095.4172:IRON AND STEEL 2,756,400.0073:ARTICLES OF IRON OR STEEL 67,500.0079:ZINC AND ARTICLES THEREOF 8,490.8784:NUCLEAR REACTORS BOILIERS MCHY & MECH APPLIANCE; PARTS 136,252.0785:ELECTRICAL MCHY EQUIP PARTS THEREOF; SOUND RECORDER ETC 15,066.0087:VEHICLES O/T RAILW/TRAMW ROLL-STOCK PTS & ACCESSORIES 44,800.0089:SHIPS BOATS AND FLOATING STRUCTURES 184,429.5894:FURNITURE; BEDDING MATTRESS MATT SUPPORT CUSHION ETC 150.0098:SPECIAL CLASSIFICATION PROVISIONS 1,691,911.01Source: Liberia Institute of Statistics & Geo-Information Services



Country FOB ValueTotal 205,256,400.21BAHAMAS 18,553.05BELGIUM 142,202,287.00CANADA 46,100.00CHINA 405,223.00CZECHOSLOVAKIA 69,162.00DENMARK 3,582.70FINLAND 1,300.00FRANCE 15,750.00THE GAMBIA 284,619.00GERMAN DEMOCRATIC REPUBLIC 47,300.00GERMANY F.R 13,041.20GUINEA 27,076.36HONG KONG 54,000.00HUNGARY 9,740.00INDIA 1,917,925.00ISRAEL 2,696,317.62ITALY 24,000.00COTE D'IVOIRE 60,870.40JAPAN 48,827.00KENYA 20,665.00KOREA REP 990.00MALAYSIA 35,740.76MOROCCO 919.26NIGERIA 521,153.45RWANDA 30,000.00SIERRA LEONE 33,800.00SOUTH AFRICA 4,199,053.00SPAIN 24,000.00SWITZERLAND 237,184.50TOGO 18,500.00UNITED ARAB EMIRATES 10,434,817.78TURKEY 83,508.00UGANDA 19,828.83UKRANIAN SSR 2,604,624.64UNITED KINGDOM 772,112.34UNITED STATES 38,017,046.12VENEZUELA 11,827.20WAKE ISLAND 5,000.00SZAMBIA 239,955.00Source: Liberia Institute of Statistics and Geo-Information Services (LISGIS)

Table 2.3.8: FOB Value of Export by Countries, Liberia 2008



Table 2.4.1: Import by Reference Month In USD, Liberia Jan-Dec 2009 and 2010Reference Import

Total 673,193,126.00Month

January 100,879,685.09February 23,162,168.51March 32,839,971.70April 52,810,117.52May 24,451,617.38June 157,455,946.25July 104,823,743.44August 38,951,333.42September 41,060,641.48October 1,564,817.32November 45,729,322.78December 49,463,761.11

Reference Import

Total 594,716,781.25 Month

January 36,037,441.92

Grand Cape Mount 39,005,966.93 March 50,844,604.65 April 63,706,366.42 May 51,561,171.48 June 69,201,132.93 July 57,883,260.89 August 78,418,898.69 September 70,200,093.60 October 58,402,474.40 November 7,398,617.54 December 12,056,751.81 Source: Liberia Institute of Statistics and Geo-Information Services (LISGIS)

2009

2010

Page 58 Statistical Buleetin 2011


Table 2.4.2: Import by HS Code, All Countries of Origin, CIF Value In USD, Liberia, 2010 HS Code and Country CIF ValueTotal 594,716,781.25 AD:ANDORRA 756.10 AE:UNITED ARAB EMIRATES 8,025,657.88 AG:ANTIGUA AND BARBUDA 22,726.90 AR:ARGENTINA 2,481,160.61 AT:AUSTRIA 1,052,775.34 AU:AUSTRALIA 1,710,459.66 BA:BOSNIA AND HERZEGOVINA 395.15 BB:BARBADOS 244.11 BD:BANGLADESH 648,031.47 BE:BELGIUM 11,551,276.26 BF:BURKINA FASO 454,085.29 BG:BULGARIA 108,145.06 BH:BAHRAIN 168,414.31 BJ:BENIN 19,651.31 BR:BRAZIL 13,900,715.17 BS:BAHAMAS 703.47 BY:BELARUS 16,725.99

88,709.70 CA:CANADA 5,119,608.79 CG:CONGO 7,900.15 CH:SWITZERLAND 6,388,443.26 CI:COTE D'IVOIRE 1,732,529.01 CL:CHILE 2,110,580.86 CN:CHINA 107,156,258.79 CO:COLOMBIA 821,622.42 CR:COSTA RICA 1,349.55 CY:CYPRUS 102,767.26 CZ:CZECH REPUBLIC 44,756.89 DE:GERMANY 10,634,215.71 Source: Liberia Institute of Statistics and Geo-Information Services (LISGIS)

Table 2.4.2: Import by HS Code, All Countries of Origin, CIF Value In USD, Liberia, 2010 Cont'd HS Code and Country CIF Value

DK:DENMARK 7,750,805.54 DZ:ALGERIA 965,151.80 EC:ECUADOR 31.50 EE:ESTONIA 141.79 EG:EGYPT 2,912,681.86 ES:SPAIN 8,193,911.77 FI:FINLAND 107,407.33 FR:FRANCE 10,863,739.53 GA:GABON 18,919.81 GB:UNITED KINGDOM 10,643,786.87 GE:GEORGIA 1,642.20 GH:GHANA 3,042,963.69 GI:GIBRALTAR 124,854.18 GM:GAMBIA 123,537.83 GN:GUINEA 3,003,082.45 GR:GREECE 17,029.82 GT:GUATEMALA 26,755.00 GW:GUINEA-BISSAU 7,952.66 Source: Liberia Institute of Statistics and Geo-Information Services (LISGIS)



Table 2.4.2: Import by HS Code, All Countries of Origin, CIF Value In USD, Liberia, 2010 Cont'd

HS Code and Country CIF ValueHK:HONG KONG 990,757.77 HN:HONDURAS 37,527.63 HR:CROATIA 1,254,729.82 HU:HUNGARY 210,899.33 ID:INDONESIA 7,664,214.31 IE:IRELAND 1,267,412.59 IL:ISRAEL 891,867.76 IN:INDIA 26,869,183.37 IR:IRAN, ISLAMIC REPUBLIC OF 679,669.69 IT:ITALY 4,953,092.19 JM:JAMAICA 301.45 JO:JORDAN 2,012,918.99 JP:JAPAN 16,720,163.42 KE:KENYA 181,001.33 KH:CAMBODIA 42,192.75 KP:KOREA, DEMOCRATIC PEOPLE'S REP. OF 253,507.90 KR:KOREA, REPUBLIC OF 3,145,847.96 KW:KUWAIT 110,668.61 KZ:KAZAKSTAN 264.98 LA:LAO PEOPLE'S DEMOCRATIC REPUBLIC 37,817.38 LB:LEBANON 13,180,976.44 LK:SRI LANKA 234,482.82 LS:LESOTHO 13,094.25 LT:LITHUANIA 112,818.00 LU:LUXEMBOURG 1,758.00 LV:LATVIA 106.58 LY:LIBYAN ARAB JAMAHIRIYA 10,542.00 MA:MOROCCO 2,160,137.89 MC:MONACO 2,805,026.38 ML:MALI 11,258.63 MM:MYANMAR 4,593.09 MR:MAURITANIA 3,490,457.87 MT:MALTA 183,639.50 MW:MALAWI 41,000.00 MX:MEXICO 394,825.90 MY:MALAYSIA 18,874,157.23 NA:NAMIBIA 1,102,145.60 NC:NEW CALEDONIA 210.14 NE:NIGER 48,360.00 NG:NIGERIA 2,735,038.28 NI:NICARAGUA 1,843.20 NL:NETHERLANDS 18,009,360.26 NO:NORWAY 1,778,682.31 NZ:NEW ZEALAND 480,393.18 OM:OMAN 836,532.83 PA:PANAMA 9,258.31 PE:PERU 994,691.00 PH:PHILIPPINES 152,974.36 PK:PAKISTAN 4,655,013.62 PL:POLAND 1,618,707.77 PT:PORTUGAL 53,016.27 PY:PARAGUAY 97,211.78 Source: Liberia Institute of Statistics and Geo-Information Services (LISGIS)



HS Code and Country CIF ValueQA:QATAR 895.56 RO:ROMANIA 212,322.63 RU:RUSSIAN FEDERATION 363,423.46 SA:SAUDI ARABIA 1,647,801.75 SC:SEYCHELLES 267,739.63 SD:SUDAN 23,524.85 SE:SWEDEN 793,931.78 SG:SINGAPORE 1,004,177.19 SH:SAINT HELENA 360,312.72 SK:SLOVAKIA 74,298.42 SL:SIERRA LEONE 622,368.66 SM:SAN MARINO 279.54 SN:SENEGAL 4,330,824.58 SR:SURINAME 6,538.82 ST:SAO TOME AND PRINCIPE 406.71 SY:SYRIAN ARAB REPUBLIC 1,291,483.94 SZ:SWAZILAND 24,512,376.14 TC:TURKS AND CAICOS ISLANDS 830.66 TD:CHAD 4,079.74 TG:TOGO 181,663.38 TH:THAILAND 6,351,008.22 TM:TURKMENISTAN 34,680.11 TN:TUNISIA 1,000,372.36 TR:TURKEY 24,219,849.53 TT:TRINIDAD AND TOBAGO 201.70 TW:TAIWAN, PROVINCE OF CHINA 1,125,750.81 UA:UKRAINE 13,972,639.81 UG:UGANDA 202.48 US:UNITED STATES 143,618,252.21 UY:URUGUAY 462,201.20 VE:VENEZUELA 680.56 VN:VIET NAM 2,744,397.46 YE:YEMEN 215,408.63 YU:SERBIA AND MONTENEGRO 7,916.13 ZA:REPUBLIC OF SOUTH AFRICA 1,672,525.06 Source: Liberia Institute of Statistics and Geo-Information Services (LISGIS)

Table 2.4.3: Import by HS Code, All Countries of Origin, CIF Value In USD, Liberia, 2009 HS Code and Country CIF Value

Total 673,193,126.00

012:ALGERIA 236,345.76032:ARGENTINA 918,482.24036:AUSTRALIA 992,346.48040:AUSTRIA 292,158.56044:BAHAMAS 204,192.49048:BAHRAIN 95,539.00050:BANGLADESH 282,845.58056:BELGIUM 21,001,448.85072:BOTSWANA 11,873.40076:BRAZIL 6,561,835.13Source: Liberia Institute of Statistics and Geo-Information Services (LISGIS)

ble 2.4.2: Import by HS Code, All Countries of Origin, CIF Value In USD, Liberia, 2010 Con




Table 2.4.3: Import by HS Code, All Countries of Origin, CIF Value In USD, Liberia, 2009 HS Code and Country CIF Value120:CAMEROON 25,447.08124:CANADA 1,447,751.29132:CAPE VERDE 170,095.05144:SRI LANKA 110,788.70152:CHILE 2,177,309.42156:CHINA 107,826,751.89158:TAIWAN 352,816.26170:COLOMBIA 471,608.47184:Cook Islands 77.00191:CROATIA 124,766.25196:CYPRUS 102,572.68204:BENIN 54,579.32208:DENMARK 5,353,538.15212:Dominican 44,186.00218:ECUADOR 82,162.50230:Ethiopia 96,347.10231:ETHIOPIA 14,912.55246:FINLAND 19,135.62250:FRANCE 13,721,273.82258:FRENCH POLYNESIA 45,503.52266:GABON 12,355.35270:GAMBIA 10,234,680.44276:GERMANY 1,048,223.56278:GERMAN DEMOCRATIC REPUBLIC 1,078,462.95280:GERMANY 22,949,303.31288:GHANA 6,084,621.78292:Gibraltar 40,730.81300:GREECE 37,926.00324:GUINEA 44,262,653.36328:GUYANA 167,870.13332:HAITI 4,820.00340:HONDURAS 625.62344:HONG KONG 1,045,425.79356:INDIA 19,964,026.84368:IRAQ 123,887.50360:INDONESIA 1,817,330.44364:IRAN 315,944.09372:IRELAND 429,337.23376:ISRAEL 253,309.36380:ITALY 2,979,570.66384:IVORY COAST 2,105,209.72392:JAPAN 20,140,487.93400:JORDAN 446,486.43404:KENYA 806,971.74408:KOREA DEMOCRATIC PEOPLE 820,199.58410:KOREA REP 183,983.22414:KUWAIT 85,112.50422:LEBANON 30,700,512.06446:Macao 22,925.00450:MADAGASCAR 83,406.84454:MALAWI 41,375.00458:MALAYSIA 6,899,518.89Source: Liberia Institute of Statistics and Geo-Information Services (LISGIS)


Table 2.4.3: Import by HS Code, All Countries of Origin, CIF Value In USD, Liberia, 2009 HS Code and Country CIF Value466:MALI 2,259.47470:MALTA 456,319.98478:MAURITANIA 2,572,761.95480:MAURITIUS 46,707.18492:MONACO 1,179,001.13504:MOROCO 2,315,246.49512:OMAN 357,683.24528:NETHERLANDS 21,339,141.57532:NETHERLAND ANTILLES 6,701,939.27536:NEUTRAL ZONE 25,372.00540:NEW CALEDONIA 2,617.56562:NIGER 6,375.00566:NIGERIA 10,733,334.41574:NORFOLK ISLAND 4,379.42578:NORWAY 2,605,588.33586:PAKISTAN 418,300.51590:PANAMA 593,129.10604:PERU 412,583.80608:PHILIPPINES 955.36616:POLAND 507,206.39620:PORTUGAL 99,454.09634:QATAR 6,023.96642:ROMANIA 172,703.99682:SAUDI ARABIA 970,718.38686:SENEGAL 1,324,866.65694:SIERRA LEONE 1,160,546.20702:SINGAPORE 17,815,458.04704:VIETNMA 93,135.05710:SOUTH AFRICA 4,412,247.20716:ZIMBABWE 9,740.00724:SPAIN 7,932,298.95748:SWAZILAND 117,370.40752:SWEDEN 8,282,367.17756:SWITZERLAND 7,068,413.93760:SYRIAN ARAB REPUBLIC 561,313.00764:THAILAND 8,001,467.14768:TOGO 383,475.60784:UNITED ARAB EMIRATE 24,488,131.96788:TUNISIA 333,235.68792:TURKEY 12,048,235.93796:TURKS AND CAICOS ISLAND 34,240.00800:UGANDA 895,974.27804:UKRAINE 30,771.24818:EGYPT 5,569,832.34826:UNITED KINGDOM OF GREAT BRITAIN 19,700,134.10840:UNITED STATES OF AMERICA 163,050,634.88858:URUGUAY 177,367.27886:YEMEN 39,694.00890:YUGOSLAVIA 106,388.12Source: Liberia Institute of Statistics and Geo-Information Services (LISGIS)



Table 2.4.4: Import by HS Code, All Countries of Origin, CIF Value In USD, Liberia, 2008Country CIF ValueTotal 994,061,267.78ARGENTINA 4,590,023.89AUSTRIA 1,456,386.50BAHAMAS 2,057,286.92BANGLADESH 1,117,134.62BELGIUM 38,653,162.59BRAZIL 13,253,507.71CANADA 7,363,794.54ARGENTINA 4,590,023.89AUSTRIA 1,456,386.50BAHAMAS 2,057,286.92BANGLADESH 1,117,134.62BELGIUM 38,653,162.59BRAZIL 13,253,507.71CANADA 7,363,794.54CHILE 1,303,815.21CHINA 119,639,655.12DENMARK 16,451,728.41FRANCE 36,343,264.35GERMAN DEMOCRATIC REPUBLIC 2,897,087.93GERMANY F.R 13,567,849.06GHANA 4,203,278.65GUINEA 5,015,156.84HONG KONG 1,017,418.35INDIA 21,131,736.25INDONESIA 3,200,045.90ISRAEL 2,542,183.48ITALY 11,463,764.59COTE D'IVOIRE 1,819,019.20JAPAN 9,971,564.20KOREA DEM. PEOPLE'S REP. OF 1,477,916.51LEBANON 20,074,262.98MALAYSIA 4,675,510.69MAURITANIA 2,294,743.28MOROCCO 3,148,116.12OMAN 1,165,536.64NETHERLANDS 21,987,497.96NETHERLANDS ANTILLES 7,190,133.22NIGERIA 82,653,863.63NORWAY 6,069,672.70POLAND 1,445,808.15ROMANIA 1,860,383.62SAUDI ARABIA 1,566,099.53SINGAPORE 5,281,994.12SOUTH AFRICA 2,796,303.52SPAIN 5,050,084.88Source: Liberia Institute of Statistics and Geo-Information Services (LISGIS)

Table 2.4.4: Import by HS Code, All Countries of Origin, CIF Value In USD, Liberia, 2008 Cont'dCountry CIF ValueSWITZERLAND 3,772,510.69THAILAND 2,408,903.06TURKEY 4,635,559.67EGYPT 22,735,076.32UNITED KINGDOM 20,263,083.30UNITED STATES 417,108,565.21Source: Liberia Institute of Statistics and Geo-Information Services (LISGIS)



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Sta

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Dec-

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Feb-

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May

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8.81

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1.46

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Tab

le 2

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AR

MO

NIZ

ED

CO

NS

UM

ER

PR

ICE

IND

EX

(H

CP

I) B

Y M

AJO

R G

RO

UP

(D

ecem

ber

2005

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0)

Pag

e 67

Sta

tistic

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ulle

tin 2

011


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OR

GRO

UP

WEI

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on-A

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olic

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vera

ges

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116.

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2.87

118.

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2.15

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Alco

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Clot

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90

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mun

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Educ

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Data

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Gran

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e 68

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tistic

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ta w

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the

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form

atio

n Se

rvice

s (LI

SGIS

), an

d th

e Ce

ntra

l Ban

k of

Lib

eria

(CBL

)

Tab

le 2

.6: H

AR

MO

NIZ

ED

CO

NS

UM

ER

PR

ICE

IND

EX

(H

CP

I) B

Y M

AJO

R G

RO

UP

(D

ecem

ber

2005

=10

0)

Pag

e 69

Sta

tistic

al B

ulle

tin 2

011


MAJ

OR

GRO

UP

WEI

GHT

Dec-

05Ja

n-09

Feb-

09M

ar-0

9Ap

r-09

May

-09

Jun-

09Ju

l-09

Aug-

09Se

p-09

Oct

-09

Nov

-09

Dec-

09Fo

od a

nd N

on-A

lcoh

olic

Be

vera

ges

45.2

010

0.00

156.57

153.45

151.02

152.62

152.07

168.13

171.30

168.95

175.21

168.95

166.67

159.84

Alco

holic

Bev

erag

es, T

obac

co &

N

arco

tics

3.03

100.

0011

6.57

115.16

123.34

124.94

124.02

128.16

132.23

132.50

136.30

132.50

130.11

130.07

Clot

hing

& F

ootw

ears

7.75

100.

0014

1.12

138.95

135.14

132.85

142.31

148.93

151.41

153.37

154.74

153.37

148.20

148.11

Hous

ing,

Wat

er, E

lect

ricity

, Gas

&

Oth

er F

uel

12.0

010

0.00

114.01

114.92

114.23

115.46

115.56

115.82

118.28

118.05

115.75

117.70

116.92

115.90

Furn

ishe

r, Ho

useh

old

Equi

pmen

ts A

nd R

outin

e M

aint

aina

nce

of T

he H

ouse

5.25

100.

0014

4.44

143.78

150.85

154.01

174.60

175.32

177.63

180.50

179.84

178.10

173.02

172.82

Heal

th3.

9110

0.00

100

100.00

104.05

104.05

104.05

104.05

104.05

104.05

104.05

104.05

104.05

104.05

Tran

spor

t6.

1110

0.00

159.09

158.55

158.28

158.28

158.83

161.02

163.47

163.47

163.47

162.92

164.28

163.72

Com

mun

icat

ion

1.53

100.

0080

.87

80.88

80.93

81.06

81.06

81.56

81.73

81.87

81.83

81.72

81.31

81.30

Recr

eatio

n &

Cul

ture

3.85

100.

0012

4.45

124.48

120.56

125.42

127.17

128.19

129.53

129.90

130.39

129.78

128.07

128.04

Educ

atio

n3.

2010

0.00

100

100.00

100.00

100.00

100.00

100.00

100.00

100.00

100.00

100.00

100.00

100.00

Rest

aura

nts &

Hot

els

4.64

100.

0012

1.44

133.77

134.06

134.73

237.92

244.34

247.21

253.56

252.81

250.91

243.45

243.33

Mis

cella

neou

s Goo

ds &

Se

rvic

es3.

5310

0.00

119.65

119.70

117.94

115.80

126.73

131.83

133.84

136.92

136.65

133.64

129.88

129.82

Gene

ral I

ndex

100.

0010

0.00

139.22

138.22

137.30

138.36

145.18

153.80

156.30

159.46

158.73

155.57

153.24

149.96

Spec

ial I

ndic

es

All I

mpo

rted

Item

s41

.73

100.

0013

1.63

132.13

135.88

137.72

139.16

154.18

155.60

159.72

156.14

155.45

153.68

148.26

All D

omes

tic It

ems

58.2

710

0.00

143.92

142.57

138.32

138.81

149.49

153.53

156.80

159.28

160.59

155.66

152.92

151.19

Impo

rted

Foo

d Ite

ms

23.8

710

0.00

139.60

139.41

146.32

149.15

146.25

168.51

168.36

173.93

167.45

167.31

166.65

157.39

Dom

estic

Foo

d Ite

ms

21.3

310

0.00

175.57

169.17

156.28

156.51

158.58

167.69

174.23

178.77

183.90

170.80

166.69

162.57

Impo

rted

Fue

l Ite

ms

2.14

100.

0092

.88

89.61

87.98

87.98

89.55

97.53

108.86

105.86

109.73

109.89

113.78

112.19

Data

wer

e ob

tain

ed fr

om th

e Ha

rmon

ized

Cons

umer

Pric

e In

dex

(HCP

I) w

ith b

ase

perio

d De

cem

ber 2

005=

100

Sour

ce:

Liber

ia In

stitu

te o

f Sta

tistic

s and

Geo

-Info

rmat

ion

Serv

ices (

LISG

IS),

and

the

Cent

ral B

ank

of L

iber

ia (C

BL)

Tab

le 2

.6: H

AR

MO

NIZ

ED

CO

NS

UM

ER

PR

ICE

IND

EX

(H

CP

I) B

Y M

AJO

R G

RO

UP

(D

ecem

ber

2005

=10

0)

Pag

e 70

Sta

tistic

al B

ulle

tin 2

011


MAJ

OR

GRO

UP

WEI

GHT

Dec-

05Ja

n-10

Feb-

10M

ar-1

0Ap

r-10

May

-10

Jun-

10Ju

l-10

Aug-

10Se

p-10

Oct

-10

Nov

-10

Dec-

10Fo

od a

nd N

on-A

lcoh

olic

Be

vera

ges

45.2

010

0.00

171.

2516

3.66

167.

5516

5.86

170.

2617

0.51

178.

3518

6.36

1878

.70

181.

2117

9.55

174.

20Al

coho

lic B

ever

ages

, Tob

acco

&

Nar

cotic

s3.

0310

0.00

134.

4613

8.92

137.

8913

8.46

141.

5614

4.03

142.

2114

0.28

139.

7914

0.37

144.

9814

8.16

Clot

hing

& F

ootw

ears

7.75

100.

0015

7.40

155.

4415

5.14

154.

2915

3.88

155.

8316

1.38

161.

7516

0.61

160.

9116

0.58

161.

23Ho

usin

g, W

ater

, Ele

ctric

ity, G

as

& O

ther

Fue

l12

.00

100.

0011

7.00

118.

6517

7.63

118.

7911

8.56

119.

2312

1.16

121.

9912

1.87

121.

6512

1.30

121.

02

Furn

isher

, Hou

seho

ld

Equi

pmen

ts A

nd R

outin

e M

aint

aina

nce

of T

he H

ouse

5.25

100.

0017

9.07

179.

9917

8.87

177.

1417

6.43

179.

2918

8.07

188.

4018

7.29

170.

3616

7.62

169.

54He

alth

3.91

100.

0010

4.05

104.

0510

4.05

104.

0510

4.05

104.

0510

4.39

104.

3910

4.39

104.

3610

4.39

104.

05Tr

ansp

ort

6.11

100.

0016

4.55

165.

3616

4.55

164.

8016

6.18

166.

1817

1.88

184.

3817

1.88

172.

1517

2.15

174.

06Co

mm

unic

atio

n1.

5310

0.00

81.7

681

.82

81.7

981

.68

81.6

081

.80

86.4

486

.47

86.3

986

.41

86.1

386

.17

Recr

eatio

n &

Cul

ture

3.85

100.

0012

9.92

130.

1613

0.06

129.

5912

9.25

130.

1013

0.43

130.

5513

0.55

131.

2213

0.05

130.

24Ed

ucat

ion

3.20

100.

0010

0.00

100.

0010

0.00

100.

0010

0.00

100.

0010

0.00

100.

0010

0.00

100.

0010

0.00

100.

00Re

stau

rant

s & H

otel

s 4.

6410

0.00

251.

5125

2.52

252.

1225

6.76

255.

3025

8.99

261.

1826

1.68

260.

1726

0.75

255.

7525

6.49

Misc

ella

neou

s Goo

ds &

Ser

vice

s3.

5310

0.00

135.

5113

5.20

138.

8313

2.67

131.

8413

3.52

134.

2913

5.38

133.

9113

4.31

130.

0513

0.37

Gene

ral I

ndex

100.

0010

0.00

157.

1515

4.04

155.

4415

4.85

156.

8115

7.64

162.

8316

5.56

166.

8816

3.19

161.

9315

9.88

Spec

ial I

ndic

esAl

l Im

port

ed It

ems

41.7

310

0.00

156.

4115

5.22

157.

2315

5.61

157.

3415

7.78

162.

6616

4.46

164.

9415

9.33

158.

3415

8.19

All D

omes

tic It

ems

58.2

710

0.00

157.

6915

3.20

154.

1615

4.31

156.

4315

7.54

162.

9516

5.04

168.

3716

5.95

164.

5116

1.10

Impo

rted

Foo

d Ite

ms

23.8

710

0.00

166.

5616

4.42

168.

6516

6.49

169.

0716

8.39

175.

7417

8.93

180.

3517

0.27

168.

7016

7.44

Dom

estic

Foo

d Ite

ms

21.3

310

0.00

176.

5016

2.81

166.

3216

5.16

171.

5917

2.87

181.

2718

6.20

195.

9219

3.46

191.

6918

1.76

Impo

rted

Fue

l Ite

ms

2.14

100.

0011

4.54

118.

6211

6.28

117.

0012

0.93

120.

9311

9.36

119.

3811

9.38

120.

1512

0.15

125.

58D

ata

wer

e ob

tain

ed fr

om th

e H

arm

oniz

ed C

onsu

mer

Pric

e In

dex

(HC

PI)

with

bas

e pe

riod

Dec

embe

r 20

05=

100

Sou

rce:

Lib

eria

Inst

itute

of S

tatis

tics

and

Geo

-Inf

orm

atio

n S

ervi

ces

(LIS

GIS

), a

nd th

e C

entr

al B

ank

of L

iber

ia (

CB

L)

Tab

le 2

.6: H

AR

MO

NIZ

ED

CO

NS

UM

ER

PR

ICE

IND

EX

(H

CP

I) B

Y M

AJO

R G

RO

UP

(D

ecem

ber

2005

=10

0)

Pag

e 71

Sta

tistic

al B

ulle

tin 2

011


Pag

e 74

Sta

tistic

al B

ulle

tin 2

011

MAJ

OR

GRO

UP

WEI

GHT

Dec-

05Ja

n-11

Feb-

11M

ar-1

1Ap

r-11

May

-11

Jun-

11Ju

l-11

Aug-

11Fo

od a

nd N

on-A

lcoh

olic

Be

vera

ges

45.2

010

0.00

182.11

184.33

181.13

180.83

183.76

818

9.33

720

6.36

2321

0.08

77Al

coho

lic B

ever

ages

, Tob

acco

&

Nar

cotic

s3.

0310

0.00

151.75

152.23

152.49

153.59

154.16

615

6.16

215

5.58

1915

5.43

76Cl

othi

ng &

Foo

twea

rs7.

7510

0.00

164.90

165.00

164.76

167.08

168.15

716

8.40

516

9.61

2716

9.03

84Ho

usin

g, W

ater

, Ele

ctric

ity, G

as

& O

ther

Fue

l12

.00

100.

0012

2.33

121.50

122.88

125.47

126.63

126.57

128.84

712

9.56

Furn

ishe

r, Ho

useh

old

Equi

pmen

ts A

nd R

outin

e M

aint

aina

nce

of T

he H

ouse

5.25

100.

0017

2.80

174.43

174.09

174.44

175.44

175.62

187.46

918

7.04

6He

alth

3.91

100.

0010

4.05

104.05

104.05

104.05

104.05

104.05

104.05

410

4.05

4Tr

ansp

ort

6.11

100.

0017

4.87

176.23

197.02

198.76

206.76

206.79

206.38

120

6.3

Com

mun

icat

ion

1.53

100.

0086

.44

86.44

86.40

86.39

86.469

86.483

86.513

786

.471

3Re

crea

tion

& C

ultu

re3.

8510

0.00

131.35

131.36

133.68

137.75

138.07

138.13

137.02

313

6.84

7Ed

ucat

ion

3.20

100.

0010

0.00

100.00

100.00

100.00

100

100

100

100

Rest

aura

nts &

Hot

els

4.64

100.

0026

1.33

261.36

261.65

261.37

262.79

266.52

267.09

726

6.32

5M

isce

llane

ous G

oods

&

Serv

ices

3.53

100.

0013

3.31

128.26

128.80

129.59

135.39

135.86

135.54

413

5.03

2Ge

nera

l Ind

ex10

0.00

100.

0016

4.61

165.53

165.61

166.29

168.69

171.48

180.09

418

1.72

7Sp

ecia

l Ind

ices

All I

mpo

rted

Item

s41

.73

100.

0016

1.24

163.60

164.81

167.55

168.84

170.37

178.86

417

7.69

All D

omes

tic It

ems

58.2

710

0.00

167.02

166.91

166.18

165.40

168.58

172.28

180.97

618

4.61

7Im

port

ed F

ood

Item

s23

.87

100.

0016

9.89

173.47

175.30

177.83

179.03

181.18

196.97

119

5.25

2Do

mes

tic F

ood

Item

s21

.33

100.

0019

5.78

196.49

187.66

184.19

189.07

198.47

216.87

422

6.69

3Im

port

ed F

uel I

tem

s2.

1410

0.00

133.11

138.73

143.34

156.12

161.11

162.93

160.02

315

9.79

2D

ata

wer

e ob

tain

ed fr

om th

e H

arm

oniz

ed C

onsu

mer

Pric

e In

dex

(HC

PI)

with

bas

e pe

riod

Dec

embe

r 20

05=

100

Sou

rce:

Lib

eria

Inst

itute

of S

tatis

tics

and

Geo

-Inf

orm

atio

n S

ervi

ces

(LIS

GIS

), a

nd th

e C

entr

al B

ank

of L

iber

ia (

CB

L)

Tab

le 2

.6: H

AR

MO

NIZ

ED

CO

NS

UM

ER

PR

ICE

IND

EX

(H

CP

I) B

Y M

AJO

R G

RO

UP

(D

ecem

ber

2005

=10

0)

Pag

e 72

Sta

tistic

al B

ulle

tin 2

011


Uni

ts20

0420

0520

0620

0720

0820

0920

1020

11

Rubb

erM

t.88

,381

12

4,77

8

93

,533

135,

200

87,9

01

62

,880

62,5

76

45,2

03

Coco

a M

t.11

2011

0721

2632

8550

7571

1219

313

Coffe

eM

t.11

N/A

124

130

379

154

Saw

n Ti

mbe

rPc

s.

N

/A

610,

864

1,03

6,87

9

82

6,09

5

543,

783

230,

363

Sou

rce:

Lib

eria

Pro

duce

Mar

ketin

g C

opor

atio

n.N

ote:

201

1 da

ta c

over

s fro

m Ja

nuar

y to

June

Tab

le 2

.7: K

ey A

gric

ultu

ral P

rodu

ctio

n of

Lib

eria

Pag

e 74

Sta

tistic

al B

ulle

tin 2

011


Dec-

03De

c-04

Dec.

05

Dec.

06

Dec.

07

Dec-

08De

c.09

Nov

-10

Curr

ency

Out

side

Ban

k (1

) 1,

303.

601,

754.

902,

168.

902,

647.

603,

317.

403,

356.

904,

161.

804,

337.

00

Dem

and

Depo

sits

(2)

1,20

3.20

1,97

1.90

2,70

1.90

3,97

3.20

5,54

1.70

8,52

2.60

12,2

90.0

015

,468

.10

Mon

ey S

uppl

y M

1 (1

+2) (

3)

2,50

6.80

3,72

6.80

4,87

0.90

6,62

0.80

8,85

9.20

11,8

79.5

015

,863

.00

19,8

05.1

0

Savi

ngs D

epos

its (4

) 43

3.6

956

1,42

9.70

1,83

0.40

2,66

4.30

3,90

2.60

5,92

6.00

8,84

7.00

Tim

e De

posi

ts (5

) 0.

34.

261

.497

.645

3.6

360.

3

Qua

si M

oney

(4+5

) (6)

43

3.9

960.

31,

491.

001,

928.

003,

118.

004,

262.

905,

926.

008,

847.

00

Broa

d M

oney

(M2)

(3+6

) 2,

940.

604,

687.

106,

361.

908,

548.

8011

,977

.10

16,7

17.9

022

,855

.40

28,6

52.0

0So

urce

: Cen

tral

Ban

k of

Lib

eria

Not

e: S

avin

gs a

nd T

ime

Depo

sits f

or D

ec. 0

9 an

d N

ov. 1

0 w

ere

com

bine

d

Gran

d Ca

pe M

ount

In M

illio

n (L

iber

ian

Dolla

rs)

Tabl

e 3.

1: M

oney

Sup

ply

& B

road

Mon

ey (E

nd o

f the

yea

r)

Pag

e 75

Sta

tistic

al B

ulle

tin 2

011

2004

2005

2006

2007

2008

2009

2010

Dec

Dec

Dec

Dec

Dec

Dec

June

Net

For

eign

Ass

ets

(44,

646.

2)

(49,

175.

0)

(4

5,24

8.2)

(43,

461.

5)

(43,

137.

1)

(4

6,83

2.1)

17,6

74.3

Cen

tral

Ban

k(4

5,36

5.1)

(5

0,40

7.6)

(47,

049.

4)

(4

6,65

2.6)

(4

8,91

1.3)

(52,

811.

5)

10

,559

.6

D

epos

it M

oney

Ban

ks71

8.9

1,23

2.6

1,

801.

3

3,19

1.1

5,77

4.2

5,97

9.4

7,

114.

7

Use

of F

und

Cred

it

R

eeva

luat

ion

acco

unt

Net

Dom

estic

Ass

ets

76,1

94.5

55,5

36.9

53,7

03.8

55

,135

.2

59

,855

.0

69,6

87.5

7,77

7.9

Do

mes

tic C

redi

t62

,763

.9

69

,353

.0

68,3

95.9

72

,109

.0

75

,459

.6

86,5

06.2

25,3

37.5

Cla

ims o

n Go

vern

men

t (N

et)

60,9

19.9

67,2

15.4

65

,390

.1

67,6

07.2

68,8

62.1

75

,739

.8

13

,887

.2

Tota

l Cla

ims o

n Go

vern

men

t61

,145

.0

67

,467

.6

67,4

21.7

70

,798

.2

71

,207

.6

79,1

65.8

19,3

96.3

Trea

sury

Bill

s

Sto

cks a

nd B

onds

W

ays a

nd M

eans

Adv

ance

s

Ove

rdra

fts

O

ther

s (Lo

ans &

Adv

ance

s)

Gov

ernm

ent D

epar

tmen

ts

Go

vern

men

t Dep

osits

225.

1

25

2.2

2,03

1.6

3,

191.

0

2,

345.

5

3,

425.

9

5,50

9.1

Cla

ims o

n Pu

blic

Ent

erpr

ises

106.

3

83

.4

146.

6

131.

8

64

.4

1,

264.

2

2,03

8.0

Gran

d Ca

pe M

ount

1,73

7.7

2,

054.

2

2,85

9.2

4,

370.

0

6,

533.

1

9,

502.

1

9,41

2.4

O

ther

Item

s, N

et (A

sset

s +) /

113

,430

.6

13

,816

.1

14,6

92.0

16

,973

.8

15

,604

.6

16,8

18.7

17,5

59.6

6,

361.

9

8,45

5.7

11

,673

.7

16

,717

.9

22,8

55.4

25,4

52.2

Br

oad

Mon

ey (M

2)4,

687.

1

6,36

1.9

8,

455.

7

11,6

73.7

16,7

17.9

22

,855

.4

25

,452

.2

Rese

rve

mon

ey2,

910.

3

3,69

8.1

4,

842.

4

6,56

8.8

8,68

1.9

10,5

81.2

11,2

83.5

Tabl

e 3.

2.1:

Lib

eria

- B

anki

ng S

yste

m M

onet

ary

Surv

ey (In

Mill

ions

of L

iber

ian

dolla

rs, e

nd o

f per

iod)

Pag

e 76

Sta

tistic

al B

ulle

tin 2

011


2004

2005

2006

2007

2008

2009

2010

Dec

Dec

Dec

Dec

Dec

Dec

June

Nar

row

Mon

ey3,

726.

8

4,87

0.9

6,

485.

1

8,51

4.4

12,4

43.5

16

,847

.8

18

,513

.4

Curr

ency

with

Pub

lic1,

754.

9

2,16

9.0

2,

647.

6

3,31

7.4

3,63

7.1

4,16

1.8

3,

598.

0

De

man

d De

posit

s1,

971.

9

2,70

1.9

3,

837.

5

5,19

6.9

8,80

6.4

12,6

86.0

14,9

15.5

Q

uasi

Mon

ey96

0.3

1,49

1.0

1,

970.

6

3,15

9.3

4,27

4.4

6,00

7.6

6,

938.

8

Ti

me

and

Savi

ngs D

epos

its96

0.3

1,49

1.0

1,

970.

6

3,15

9.3

4,27

4.4

6,00

7.6

6,

938.

8

Fo

reig

n Cu

rren

cy D

epos

its-

-

-

-

-

-

-

O

ther

Dep

osits

-

-

-

-

-

-

-

T

ime

Savi

ngs &

For

eign

Cur

renc

y De

posit

s B

road

mon

ey (1

2 m

onth

cha

nge

in %

)35

.7

32.9

38

.1

43

.2

36

.7

11.4

Net

fore

ign

asse

ts g

row

th(1

0.1)

(8

.0)

(3.9

)

(0.7

)

8.

6

(1

37.7

)

Dep

osits

/Bro

ad M

oney

(in

%)

42.1

42.5

45

.4

44.5

52.7

55.5

58

.6

Rese

rve

mon

ey (1

2 m

onth

cha

nge

in %

)27

.1

30.9

25

.3

32

.2

21

.9

6.6

Ratio

(Cur

renc

y/Br

oad

mon

ey)

37.4

34.1

31

.3

28.4

21.8

18.2

14

.1

Velo

city

(GDP

/bro

ad m

oney

)-

-

-

0.

0

0.0

0.0

0.0

Mon

ey m

ultip

lier (

M2+

/RM

)1.

6

1.7

1.7

1.8

1.

9

2.

2

2.

3

Curr

ency

-to-

depo

sit ra

tio (%

)59

.8

51

.7

45.6

39

.7

27

.8

22

.3

16.5

GDP

at m

arke

y pr

ices

28.8

32.1

36.0

36

.0

So

urce

: Lib

eria

aut

horit

ies

10.3

3-2

.72

3.39

1.86

9.99

-81.

66

Sour

ce: C

entr

al B

ank

of L

iber

ia

Tabl

e 3.

2.1:

Lib

eria

- B

anki

ng S

yste

m M

onet

ary

Surv

ey C

ont'd

(In b

illio

ns o

f Lib

eria

n do

llars

, end

of p

erio

d)

Pag

e 77

Sta

tistic

al B

ulle

tin 2

011


2004

2005

2006

2007

2008

2009

2010

Dec

Dec

Dec

Dec

Dec

Dec

June

Net

For

eign

Ass

ets

(45,

365.

1)

(50,

407.

6)

(4

7,04

9.4)

(46,

652.

6)

(48,

911.

3)

(5

2,81

1.5)

10,5

59.6

Fore

ign

Asse

ts1,

019.

1

1,43

2.3

4,

280.

6

7,45

9.9

10,2

95.0

26

,258

.2

28

,444

.1

Fo

reig

n Li

abili

ties

46,3

84.2

51,8

39.9

51

,330

.0

54,1

12.6

59,2

06.3

79

,069

.7

17

,884

.4

Net

Dom

estic

Ass

ets

48,2

75.4

54,1

05.7

51,8

91.8

53

,221

.4

57

,593

.2

63,3

92.7

723.

9

Dom

estic

Cre

dit

60,4

43.6

66,7

14.2

65,0

46.0

67

,220

.7

68

,483

.4

75,3

72.2

13,6

83.2

Clai

ms o

n Go

vern

men

t (N

et)

60,3

43.1

66,5

93.8

64,8

24.8

67

,087

.7

68

,370

.4

75,2

48.7

13,6

22.5

To

tal C

laim

s on

Gove

rnm

ent

60,4

06.3

66,6

80.0

66

,598

.8

70,0

62.8

70,6

14.3

78

,488

.0

18

,906

.9

Tr

easu

ry B

ills

-

-

-

-

Stoc

ks a

nd B

onds

(TBB

)-

-

-

-

W

ays a

nd m

eans

adv

ance

s-

-

-

-

O

verd

raft

s-

-

-

-

O

ther

s60

,406

.3

66

,680

.0

66,5

98.8

70

,062

.8

70

,614

.3

78,4

88.0

18,9

06.9

G

over

nmen

t Dep

osits

63.2

86.2

1,

773.

9

2,97

5.1

2,24

3.9

3,23

9.3

5,

284.

4

C

laim

s on

Fina

ncia

l Ins

titut

ions

100.

0

11

9.8

220.

5

133.

0

11

3.0

12

3.5

60.8

Cl

aim

s on

Depo

sits M

oney

Ban

k10

0.0

119.

8

22

0.5

13

3.0

113.

0

123.

5

60

.8

Cl

aim

s on

Non

Mon

etar

y Fi

n In

st.

Cla

ims o

n Pu

blic

Ent

erpr

ises 1

/0.

5

0.6

0.6

-

-

-

-

Cla

ims o

n Pr

ivat

e Se

ctor

* O

ther

item

s, n

et (a

sset

s +)

(12,

168.

2)

(12,

609)

(1

3,15

4)

(13,

999)

(10,

890)

(11,

980)

(1

2,95

9)

Re

serv

e M

oney

(RM

)2,

910.

3

3,69

8.1

4,

842.

4

6,56

8.8

8,68

1.9

10,5

81.2

11,2

83.5

Curr

ency

out

side

bank

s1,

908.

5

2,37

9.3

2,

813.

9

3,59

4.4

4,09

0.0

4,58

3.4

4,

413.

1

Bank

Res

erve

s/De

posit

s94

5.6

1,19

3.3

1,

821.

8

2,62

0.7

3,41

6.3

4,94

6.8

5,

907.

7

C

ash

in v

ault

Dep

osits

R

equi

red

Rese

rves

E

xces

s/sh

ortf

all o

f res

erve

s N

on-B

ank

Depo

sits

56.2

125.

5

20

6.7

35

3.7

1,17

5.7

1,05

1.0

96

2.7

Sour

ce: C

entr

al B

ank

of L

iber

ia

Tabl

e 3.

2.2:

LIB

ERIA

- A

CCO

UN

TS O

F TH

E CE

NTR

AL B

ANK

Pag

e 78

Sta

tistic

al B

ulle

tin 2

011


2004

2005

2006

2007

2008

2009

2010

Dec

Dec

Dec

Dec

Dec

Dec

June

Net

For

eign

Ass

et71

8.9

1,23

2.6

1,

801.

3

3,19

1.1

5,77

4.2

5,97

9.4

7,

114.

7

Fore

ign

Asse

ts1,

947.

2

2,67

6.8

3,

122.

4

4,01

9.7

6,38

5.6

6,79

9.4

8,

067.

3

Fore

ign

Liab

ilitie

s1,

228.

3

1,44

4.2

1,

321.

1

828.

6

61

1.4

82

0.1

952.

7

Net

Dom

estic

Ass

ets

2,21

3.3

2,

960.

3

4,00

6.8

5,

165.

1

7,

306.

6

12

,714

.2

14

,739

.6

Res

erve

s1,

150.

9

1,51

2.3

2,

153.

6

2,96

1.4

4,45

1.9

5,52

9.9

6,

804.

2

Ca

sh in

Vau

lt15

3.6

210.

3

16

6.3

27

6.9

452.

9

421.

6

81

5.1

De

posit

s with

Cen

tral

Ban

k99

7.3

1,30

2.0

1,

987.

3

2,68

4.5

3,99

9.1

5,10

8.3

5,

989.

1

Hol

ding

s of C

entr

al B

ank

Bills

(+ A

sset

)

Cred

it fr

om C

entr

al B

ank

(- Li

abili

ty)

29.9

67.0

11

.6

3.2

-

-

-

D

omes

tic C

redi

t2,

420.

3

2,75

8.6

3,

570.

4

5,02

1.3

7,08

9.2

11,2

57.5

11,7

15.1

Cla

ims o

n Go

vern

men

t (N

et)

576.

8

62

1.6

565.

2

519.

5

49

1.7

49

1.2

264.

7

T

otal

Cla

ims o

n Go

vern

men

t73

8.7

787.

6

82

2.9

73

5.4

593.

3

677.

7

48

9.4

Trea

sury

Bill

s

Stoc

ks a

nd B

onds

(TBB

)

Oth

er (L

oan

& A

dvan

ces)

738.

7

78

7.6

822.

9

735.

4

59

3.3

67

7.7

489.

4

G

over

nmen

t Dep

osits

161.

9

16

6.0

257.

6

215.

9

10

1.6

18

6.6

224.

7

C

laim

s on

Priv

ate

Sect

or1,

737.

7

2,05

4.2

2,

859.

2

4,37

0.0

6,53

3.1

9,50

2.1

9,

412.

4

Cla

ims o

n Pu

blic

Ent

erpr

ises

105.

8

82

.8

146.

0

131.

8

64

.4

1,

264.

2

2,03

8.0

Oth

er It

ems,

Net

(Ass

ets +

)1,

357.

9-

1,31

0.6

-

1,71

7.2

-

2,81

7.6

-

4,

234.

5-

4,

073.

3-

3,77

9.7

-

Tota

l Dep

osits

Lia

bilit

ies

2,93

2.2

4,

192.

9

5,80

8.1

8,

356.

3

13

,080

.8

18,6

93.6

21,8

54.2

D

eman

d De

posit

s1,

971.

9

2,70

1.9

3,

837.

5

5,19

6.9

8,80

6.4

12,6

86.0

14,9

15.5

T

ime

and

Savi

ngs D

epos

its96

0.3

1,49

1.0

1,

970.

6

3,15

9.3

4,27

4.4

6,00

7.6

6,

938.

8

F

orei

gn C

urre

ncy

Depo

sits

Oth

er D

epos

its

Sour

ce: C

entr

al B

ank

of L

iber

ia

Tabl

e 3.

2.3:

Lib

eria

- Ac

coun

ts o

f Dep

osit

Mon

ey B

anks

(In M

illio

n Li

beria

n do

llars

curr

ency

)

Pag

e 79

Sta

tistic

al B

ulle

tin 2

011


Buying

Selling

Buying

Selling

Buying

Selling

Buying

Selling

Buying

Selling

Buying

Selling

Buying

Selling

Janu

ary

52.8

154

.19

56.8

157

.96

56.1

557

.460

.57

61.6

562

.96

64.0

063

.94

64.9

370

.83

71.8

3

Febu

ary

5454

.97

55.8

856

.77

56.0

457

.38

60.2

161

.13

62.2

063

.20

64.0

065

71.2

572

.31

Mar

ch

5455

55.8

956

.94

55.5

256

.57

60.0

061

.01

62.0

063

.01

64.5

065

.35

71.0

972

.09

April

5455

56.1

357

.13

56.3

57.3

260

.40

61.5

462

.06

63.0

865

.60

66.2

370

.21

71.2

1

May

5556

.15

57.3

158

.23

57.1

958

.13

61.2

262

.17

62.7

863

.56

67.4

668

.37

70.5

871

.58

June

5657

.457

.58

58.5

858

.06

59.1

262

.02

63.0

063

.00

64.0

069

.34

70.3

71.1

972

.15

July

5758

.63

58.8

159

.81

58.8

159

.94

60.7

761

.71

63.0

064

.00

70.6

171

.59

71.8

172

.76

Augu

st58

5959

.11

60.1

159

.19

60.1

961

.91

62.9

163

.00

64.0

071

.67

72.7

572

73

Sept

embe

r55

56.5

257

.88

58.9

459

.23

60.2

161

.12

62.1

263

.00

63.9

471

.35

72.4

471

.35

72.3

5

Oct

ober

5152

.69

54.7

355

.959

6061

.13

62.1

563

.00

64.0

070

.59

71.5

671

.572

.54

Nov

embe

r52

52.7

353

.85

54.8

557

.81

58.9

59.6

560

.67

62.9

263

.70

67.3

668

.36

69.3

570

.31

Dece

mbe

r52

52.7

854

.22

55.2

256

.04

57.4

60.2

761

.27

62.8

163

.76

67.3

168

.31

69.7

270

.67

Sou

rces

: The

Cen

tral

Ban

k of

Lib

eria

2010

Not

e: T

he r

ate

of e

xcha

nge

is L

D/U

SD

Tab

le 3

.3: Y

ear-

on-Y

ear

Rat

e of

Exc

hang

e2005

2006

2007

2008

2009

2004

Mon

th

Pag

e 80

Sta

tistic

al B

ulle

tin 2

011


Rate

s20

0520

0620

0720

0820

0920

1020

11Av

g. L

endi

ng R

ate

14.0

015

.20

14.3

014

.30

14.1

014

.17

13.6

4

Avg.

Pes

onal

Loa

n Ra

te12

.70

13.0

014

.90

14.3

114

.49

14.1

514

.68

Avg.

Mor

tgag

e Ra

te12

.00

12.0

012

.00

14.0

014

.45

14.1

915

.00

Avg.

Tim

e De

posit

Rat

e2.

804.

904.

304.

104.

302.

902.

90

Avg.

Sav

ings

Rat

e3.

003.

002.

102.

112.

002.

012.

01

Avg.

Rat

e on

CDs

5.00

0.00

3.00

3.00

3.00

3.00

2.50

Avg.

mea

ns A

vera

geCD

s mea

ns C

ertif

icat

e of

Dep

osit

2002

2003

2004

2005

2006

2007

2008

2009

2010

EXTE

RNAL

DEB

TM

ultil

ater

al

1,52

9.00

1,47

4.10

1,

495.

00

1,05

0.00

14

84.4

1619

.210

52.1

1072

.498

.9Bi

late

ral

904.

00

95

7.40

996.

80

70

0.00

988.

714

57.5

877.

657

0.7

123.

4Fi

nanc

ial

631.

00

64

8.90

640.

80

1,

574.

00

276.

927

6.9

269.

7326

9.3

Supp

liers

' Cre

dit

41.0

0

44

.40

71

.20

46

.750

8.1

6.6

5.6

DOM

ESTI

C DE

BT38

0.10

386.

10

35

6.70

915.

60

47

5.8

270

915.

629

2.6

280.

4

Sou

rces

: Min

istr

y of

Fin

ance

, Rep

ublic

of L

iber

ia

Gran

d Ca

pe M

ount

Sou

rces

: The

Cen

tral

Ban

k of

Lib

eria

Tab

le 3

.4: I

nter

est R

ate

of L

iber

ia, 2

005

- 20

10

Tab

le 3

.5:

Ext

erna

l/Dom

estic

Deb

t, Li

beria

Lib

eria

Deb

t Pos

ition

( In

Mill

ions

of U

S$)

Pag

e 81

Sta

tistic

al B

ulle

tin 2

011


2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

Janu

ary

19.5

12.8

4.2

15.7

7.2

1216

.56.4

12.9

4.74

Febr

uary

22

.411

3.9

16.1

713

14.8

711

.57.45

Mar

ch

23.8

10.2

3.1

16.8

6.4

11.2

14.3

6.9

13.2

6.54

April

17

.99.7

315

.87.4

13.5

11.7

7.8

11.9

7.39

May

18

.78.9

315

8.4

10.1

19.2

7.7

87.58

June

14

14.4

-1.1

16.6

6.8

12.5

227.6

2.5

8.78

July

9.3

12.8

114.7

712

.621

.37.3

4.2

10.6

Augu

st

8.8

14.3

9.1

4.6

89.9

26.5

4.9

3.3

10.27

Sept

embe

r 8.8

1012

.95.2

7.2

12.7

208

5.2

Oct

ober

8.5

8.3

138.6

5.8

8.6

18.6

8.2

4.9

Nov

embe

r 12

7.2

14.9

7.4

8.1

9.5

15.5

7.8

5.7

Dece

mbe

r 11

.15

16.1

78.9

11.7

9.4

9.7

6.6

Aver

age

Rate

ofIn

flatio

n 14

.610

.47.8

11.1

7.4

11.4

17.5

7.4

7.5

Sou

rce:

Lib

eria

Inst

itute

of S

tatis

tics

and

Geo

-Inf

orm

atio

n S

ervi

ces

(LIS

GIS

), a

nd th

e C

entr

al B

ank

of L

iber

ia (

CB

L)

Tabl

e 3.

6: Y

ear-

On-

Year

Rat

e of

Infla

tion,

Lib

eria

200

3-20

11

(May

199

8=10

0)

Mon

th

Year

Pag

e 82

Sta

tistic

al B

ulle

tin 2

011



Indicators 1997 (Base)

2000 2004 2007 2015 (Target)

Proportion of population below $1 (PPP) per day 55.1 - 76.2 63.81 27.55

Poverty gap ratio - - - 40.78 20.39

Share of poorest quintile in national consumption

- - - 6.44 3.2

Prevalence of underweight children under five years of age

14.8 22.8 - 18.8 7.4

Proportion of population below minimum level of dietary energy consumption

39 - 46 38 19.5


2004 2007 2009

Net enrollment ratio primary education 37.4 - 37.3 49.3 61.4 -

Primary completion rates 31.2 - 66.2 57.6 - -Literacy rates of 15-24 years old 34.7 71.1 - 74.8 68.2 -


2003 2007 2015 (Target)

Ratio of girls to boys in Primary Education 0.69 - 0.93 0.881 0.872 1

Grand Cape Mount 0.59 - 0.84 0.691 0.732 1Ratio of girls to boys in Tertiary Education 0.38 - - - -

Share of women in wage employment in the nonagricultural sector

11.4 - - - 50

Proportion of seats held by women in national legislature 11.1 - 12.5 12.5 25

1= 2004 Liberia MDG Report; 2007 CWIQ (LISGIS), 2 =2008/09 National School Census Report (Ministry ofEducation)

2004 Liberia MDG Report, 2007 CWIQ (LISGIS), 2008 National School Census Report (Ministry of

2008

2008

Table 4.0: Millenium Development Goals

GOAL 3: PROMOTE GENDER EQUALITY AND EMPOWER WOMEN

GOAL 2: ACHIEVE UNIVERSAL PRIMARY EDUCATION

GOAL I: ERADICATE EXTREME HUNGER AND POVERTY

Education), United Nations Statistical Database, World Development Indicators (World Bank)2008 National Population and Housing Census of Liberia (LISGIS)

Halve, between 1990 and 2015, the proportion of people who suffer from hunger

1997, 2000 World Development Indicators (IMF); 2004 Liberia MDG Report; 2007 CWIQ (LISGIS)



2007 2008 2009 2015 (Target)

Under-five mortality rate (per 1,000 live births) 194 110 119 114 64

Infant mortality rate (per 1,000 live births) 117 72 78 73 39Proportion of 1- year old immunized against measles 32.6 52.6 - 59.7 100

2000 and 2007 Liberia Demographic Health Survey; 2009 Liberia Malaria Indicator Survey, 2008 National Population and Housing Census

Indicators 1986 2000 (Base)

2007 2008 2009 2015 (Target)

Maternal mortality rate (per 100,00 births) 260 578 994 890 - 145

Proportion of births attended by skilled health personnel 89.1 51 46 - - 97

Contraceptive prevalence rate (%) 6 10 11.4 - _ -

Adolescent birth rate (%) - 32 39 - 38 -

1986, 2000 and 2007 Liberia Demographic Health Survey; 2008 Liberia MDG Report; United NationalStatistical Database, World Development Indicators (World Bank), 2008 National Population and Housing Census (LISGIS)


2008 2009 2015 (Target)

HIV prevalence among pregnant women (15-49) (%) 1.5 - - 0.75

HIV prevalence among pregnant women (15-24) (%) 1.7 - 4 8.2

Condom use as contraceptive prevalence rate (%) 1.6 - - 50.4Proportion of population aged 15-24 years with Comprehensive correct knowledge of HIV/AIDS (%)

6.8 - - 70

Proportion of population with advanced HIV infection with access to antiretroviral drugs

17 - - 62.1

- - - -Death rates associated with malaria (deaths per 100,000) - - - -

Prevalence rates associated with tuberculosis (incidents per 100,000)

- 282 - 141

Death rates associated with tuberculosis (deaths per 100,000)

62 - - 31

Proportion of tuberculosis cases detected and cured under directly observed treatment short course (%)

71.3 - 80 90

2007 Liberia Demographic Health Survey; 2008 and 2009 TB Desk Review NLCTP, WorldDevelopment Indicators (World Bank)\

GOAL 4: REDUCE CHILD MORTALITY

GOAL 5: IMPROVE MATERNAL HEALTH

GOAL 6: COMBAT HIV/AIDS, MALARIA AND OTHER DISEASES



Indicators 2010 2015 (Target)

Incidence and death rates associated with malaria halved 33 16

Prevalence of malaria in children under five (%) 32 18Proportion of children under 5 sleeping under insecticide treated bed nets (%)

27 80

Proportion of Children under 5 with fever who are 30 80

Proportion of pregnant women who slept under insecticide treated bed nets the previous night (%)

33 80

Proportion of women who received two or more intermittent preventive therapy during the last pregnancy in the previous two years (%)

45 80

Prevalence rate associated with TB (incidents per 1000,000)

282 141

TB case detection rate (%) 64 70Proportion of TB cases observed and treated with short course (%)

80 90

2009 Health Facility Survey, 2009 LMIS Report, 2008 TB Desk Review NLCTP, 2009 GFTAMReport NLTCP

Indicators 2005 2007 2009 2017 (Target)

Proportion of land covered by forest (%) 39 51 - 42.1Proportion of people with sustainable access to improved water sources (%)

61 65 75 77.5

Proportion of people with access to improved sanitation (%)

27 10 44 69.5

Urban 49 21.3 63Rural 7 3.4 272006 National Human Development Report, 2007 Liberia Demographic Health Survey, 2007 FederalDrug Administration (satellite imagery), 2009 Liberia Malaria Indicator Survey

Indicators 2005 2006 2007 2008 2009Public sector external debt outstanding (medium and long term) incl. arrears ($billions)

3.66 4.53 4. 54 3.16 1.72

Public sector external debt outstanding incl. arrears % of GDP

690 748 829.8 388.8 _

Public sector external debt outstanding incl. arrears of Exports

2402 2079 2094 - -

External public debt services charges % of GDP 22.3 23 22.1 - -Aid per capita (current US$) - - - 101.2 -Internet users (per 100 people) - - - 15 -Mobile cellular subscription (per 100 people) - - - 19 32

Central Bank of Liberia2007 International Monetary Fund Country Report, World Development Indicators (World Bank),

GOAL 8:DEVELOP A GLOBAL PARTNERSHIP FOR DEVELOPMENT

GOAL 6: COMBAT HIV/AIDS, MALARIA AND OTHER DISEASES CONT'D

GOAL 7: ENSURE ENVIRONMENTAL SUSTAINABILITY




Months ORDINARY CHAUFFUER HEAVY DUTY REPRINT TOTAL

January 503 537 64 N/A 1104February 388 437 54 N/A 879March 395 417 48 N/A 860April 278 296 17 N/A 591May 316 378 25 N/A 719June 151 128 6 N/A 285July 351 331 34 36 752August 404 362 23 53 842September 399 364 51 38 852October 289 268 19 24 600November 230 226 9 9 477Total 3704 3744 350 160 7,961

CATEGORY 2008 2009 2010Commercial 2,980 3,080 4345Business 3,931 4,067 4544Private 5,711 4,059 8193Others 1,806 2,093 1795TOTAL 14,428 13,299 18877

Grand Cape MountNote: The number of vehicles registered do not include government and diplomatic vehicles.

Table 5.0: Transportation and Other Indicators of Liberia

Table 5.2: Number of Vehicle Registration

Table 5.1: Number of Monthly Licenses Issued for 2009


WAT

ER P

RODU

CTIO

NO

UTP

UT

LIN

EM

ayJu

neJu

lyAu

gust

Sept

embe

rO

ctob

erN

ovem

ber

Dec

embe

r16

" M

AIN

34,5

29.9

34,4

50.6

44,4

10.5

32,2

80.2

39,4

46.8

34,8

47.7

45,5

44.0

50,1

86.8

36"

MAI

N27

,089

.727

,563

.821

,264

.621

,468

.122

,876

.627

,166

.835

,635

.238

,389

.2

Whi

te P

lain

TOTA

L61

,619

.662

,014

.465

,675

.153

,748

.362

,323

.462

,014

.581

,179

.288

,576

.0Co

nsum

ptio

n18

,522

.819

,180

.320

,423

.117

,469

.720

,750

.619

,551

.220

,297

.820

,208

.6Ef

ficie

ncy

30%

31%

31%

33%

33%

32%

25%

23%

Tota

l Los

s 43

,096

.842

,834

.245

,252

.136

,278

.641

,572

.842

,463

.360

,881

.468

,367

.3

Wat

er P

rodu

ctio

nO

utpu

t Lin

eA

pril

May

June

July

Aug

ust

Sep

tem

ber

Oct

ober

Tot

al16

" M

AIN

39,8

68.9

38

,325

.3

36

,620

.8

31,3

98.6

33,7

08.5

35,7

06.4

37

,435

.2

253,

063.

6

36"

MAI

N80

,136

.5

77,0

33.8

73,6

07.8

63

,111

.2

64

,567

.7

68

,562

.2

72,1

54.1

49

9,17

3.3

Whi

te P

lain

TOTA

L12

0,00

5.4

11

5,35

9.1

11

0,22

8.6

94

,509

.9

98

,276

.2

10

4,26

8.6

10

9,58

9.3

75

2,23

7.0

Con

sum

ptio

n50

,186

.0

51

,617

.9

48

,365

.5

45

,299

.7

38

,640

.3

47

,080

.9

54

,453

.9

33

5,64

4.3

Effi

cien

cy0.

4

45%

44%

48%

39%

45%

50%

45%

Tot

al L

oss

69,8

19.4

1

63,7

41.1

9

61,8

63.0

8

49,2

10.1

2

59,6

35.8

8

57,1

87.6

7

55,1

35.3

3

416,

592.

68

Sou

rce:

Lib

eria

Wat

er a

nd S

ewer

Cor

pora

tion

Gran

d Ca

pe M

ount

OU

TPU

T LI

NE

April

May

June

July

Augu

stSe

ptem

ber

Oct

ober

Nov

embe

r16

" M

AIN

39,8

68.9

38,3

25.3

36,6

20.8

31,3

98.6

33,7

08.5

35,7

06.4

37,4

35.2

50,1

86.8

36"

MAI

N80

,136

.577

,033

.873

,607

.863

,111

.264

,567

.768

,562

.272

,154

.138

,389

.2

Whi

te P

lain

TOTA

L12

0,00

5.4

115,

359.

111

0,22

8.6

94,5

09.9

98,2

76.2

104,

268.

610

9,58

9.3

88,5

76.0

Cons

umpt

ion

50,2

76.0

51,6

17.9

48,3

65.5

45,2

99.7

38,6

40.3

47,0

80.9

54,4

53.9

20,2

08.6

Effic

ienc

y42

%45

%44

%48

%39

%45

%50

%23

%To

tal L

oss

69,7

29.4

63,7

41.2

61,8

63.1

49,2

10.1

59,6

35.9

57,1

87.7

55,1

35.3

68,3

67.3

(IN

'000

' GA

LLO

NS

)

Tabl

e 5.

3: P

RODU

CTIO

N A

ND

CON

SUM

PTIO

N P

ERFO

RMAN

CE IN

DICA

TOR

APRI

L - D

ECEM

BER,

200

8

(IN

'000

' GA

LLO

NS

)

MAY

- D

ECEM

BER,

200

7(I

N '0

00' G

ALL

ON

S)

APRI

L -

OCT

OBE

R, 2

009

(IN

'000

' GA

LLO

NS

)

JAN

UAR

Y - D

ECEM

BER,

200

8

Pag

e 87

Sta

tistic

al B

ulle

tin 2

011


Wat

er P

rodu

ctio

nO

utpu

t Lin

eJa

nuar

yF

ebru

ary

Mar

chA

pril

Aug

ust

Sep

tem

ber

Oct

ober

Nov

embe

rD

ecem

ber

16"

MAI

N39

,408

.2

40,2

75.4

39,9

53.5

58

,028

.2

51

,831

.0

45

,350

.6

49,1

09.7

50

,090

.1

61

,428

.7

36"

MAI

N72

,736

.1

73,9

09.9

59,9

30.3

72

,666

.0

68

,803

.5

65

,041

.8

73,6

44.5

75

,135

.1

92

,143

.0

Whi

te P

lain

TOTA

L11

2,14

4.3

11

4,18

5.2

99

,883

.8

13

0,69

4.2

12

0,63

4.5

11

0,39

2.4

12

2,75

4.2

12

5,22

5.2

153,

571.

7

Con

sum

ptio

n68

,948

.4

59

,415

.1

52

,688

.7

69

,582

.8

54

,869

.7

51

,116

.7

59

,641

.7

66

,885

.6

75

,494

.8

Effi

cien

cy61%

52%

53%

53%

45%

46%

49%

53%

0.5

T

otal

Los

s 43

,195

.86

54

,770

.19

47

,195

.16

61

,111

.45

65

,764

.75

59

,275

.66

63

,112

.45

58

,339

.66

78

,076

.9

Wat

er P

rodu

ctio

nO

utpu

t Lin

eJa

nuar

yF

ebru

ary

Mar

chA

pril

May

June

July

Aug

ust

16"

MAI

N71

,594

.0

64,9

56.4

59,2

11.7

36"

MAI

N10

7,39

1.1

97

,434

.6

88

,817

.5

Whi

te P

lain

TOTA

L17

8,98

5.1

16

2,39

0.9

14

8,02

9.2

C

onsu

mpt

ion

82,4

60.3

79,9

32.2

75,1

90.6

Effi

cien

cy46%

49%

51%

Tot

al L

oss

96,5

24.7

7

82,4

58.7

2

72,8

38.5

5

JAN

UAR

Y - D

ECEM

BER,

200

8 (I

N '0

00' G

ALL

ON

S)

Pag

e 88

Sta

tistic

al B

ulle

tin 2

011


MonthNumber of

Structures/BuildingNumber of Occupants

Number of Casualty

Number of Injury

Total Estimated Loss (USD)

January 9 198 2 1 102,715February 5 59 2 0 245,000March 12 175 4 0 236,069April 12 249 1 0 314,000May 6 73 3 0 109,000June 13 255 3 0 173,000July 4 66 0 0 125,000August 8 177 3 3 206,000September 9 115 1 0 94,620October 12 204 0 0 252,000November 6 118 4 1 55,500December 14 247 3 1 176,000Total 110 1936 26 6 2,088,904

MonthNumber of


Number of Casualty

Number of Injury


January 20 432 2 3 364,737 February 7 223 0 3 97,890 March 19 101 4 6 137,095 April 8 104 0 0 146,366 May 8 67 0 2 52,500

Grand Cape Mount 17 308 0 6 166,800 July 19 102 3 1 36,446 August 14 173 0 2 37,500 September 8 100 0 0 46,000 October 18 320 2 0 92,612 November 2 22 0 7 26,975 December 11 30 0 2 7,422 Total 151 1982 11 32 1,212,343 Source: Liberia National Service 2007 and 2008

MonthNumber of


Number of Casualty

Number of Injury


January 105 287 17 11 194,399 February 24 315 3 0 370,343 March 12 108 1 0 77,005 April 6 53 0 0 105,500 May 16 158 2 5 295,079 June 14 116 0 4 119,400 July 12 133 1 0 212,000 August 19 219 0 1 141,950 September 8 102 0 0 125,555 October 17 213 0 0 228,500 November 17 264 0 4 140,115 December 9 173 1 0 165,000 Total 259 2141 25 25 2,174,846

Source: Liberia National Service 2007 and 2008

Table 5.4.1: Number of fire according to dollar loss, by type of property, 2008

No. of Fire USD Loss No. of Fire USD LossResidential 92 1,794,165 134 1,074,892Institutional 0 0 0 0

3 67,119 1 500Churches 0 75,000 0 0Public Assembly 2 3,000 4 100,283Basic Industry 0 21,620 0 0Company 1 0 0 0Corporation 4 128,000 8 40,000Ware House 0 0 0 0Special Property 0 0 0 0Bush 0 0 1 0Vehicle 0 0 0 0Container 0 0 0 0

Total: 102 2,088,904 148 1,215,675

Source: Liberia National Service 2007 and 2008

2007

Property Used2007 2008

Table 5.4.:The number of structures affected by fire, their occupants, casualty, injury and estimated losses in United States Dollars by month, 2007-2008

2008

2010



Janu

ary

Febr

uary

Mar

ch

April

M

ayJu

neJu

lyAu

gust

Sept

embe

rO

ctob

er

Nov

embe

rDe

cem

ber

Com

mon

Fire

85

812

613

38

911

56

Oil

Fire

01

00

00

00

00

00

Elec

tric

al F

ire1

04

00

01

00

11

0To

tal:

96

1212

613

48

912

66

Tota

l (al

l per

iods

)10

3

Janu

ary

Febr

uary

Mar

ch

April

M

ayJu

neJu

lyAu

gust

Sept

embe

rO

ctob

er

Nov

embe

rDe

cem

ber

Com

mon

Fire

176

78

511

167

410

810

Oil

Fire

00

30

00

20

10

12

Elec

tric

al F

ire3

24

12

01

12

20

0To

tal:

208

149

711

198

712

912

Gran

d To

tal:

136

Janu

ary

Febr

uary

Mar

ch

April

M

ayJu

neJu

lyAu

gust

Sept

embe

rO

ctob

er

Nov

embe

rDe

cem

ber

Cand

le11

78

49

64

130

03

0El

ectr

icity

21

31

53

11

00

00

Gene

rato

r2

00

02

21

00

00

0O

ther

s2

121

10

36

00

02

0To

tal:

1720

126

1614

1214

00

50

Gran

d To

tal:

116

Gran

d Ca

pe M

ount

Tab

le 5

.4.2

: Fire

out

brea

ks a

ccor

ding

to c

ateg

ory

by m

onth

, 200

7-20

08

Cate

gory

2010

Cate

gory

2007

Cate

gory

2008

Pag

e90

Sta

tistic

al B

ulle

tin 2

011


Tabl

e 5.

5: P

ublic

Saf

ety-

Acc

iden

ts a

nd C

rimes

2005

2006

2007

2008

2009

2010

ROAD

ACC

IDEN

TSTo

tal n

umbe

r of r

oad

acci

dent

sna

na23

142

547

734

2To

tal n

umbe

r of p

erso

ns in

volv

edna

na21

342

548

637

5

Of w

hich

: Num

ber o

f Fem

ale

nana

8710

013

585

Tota

l num

ber o

f per

sons

kill

edna

na53

2110

437

Of w

hich

: Num

ber o

f Fem

ale

nana

2364

24

14

TOTA

L PR

ISO

NER

Sna

nana

3

,929

2,7

63

2

,940

O

f Whi

ch:

For T

heft

nana

2

,429

2,4

29

2

,250

2,3

90

For A

ssau

ltna

na

1,4

50

1

,450

4

66

47

0 Fo

r Mur

der

nana

88

1625

For D

rugs

and

Nar

cotic

sna

na42

4231

55

D

ESCR

IPTI

ON

20

0520

0620

0720

0820

0920

10In

tern

al M

ail

00

00

00

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2007 2008 2009 2010Libercell 27,332 29,159 Libtelco 1,800 4,463 Comium 63,734 64,373 60,343 134,401 Cellcom 201,000 282,500 363,500 639,526 Lonestar 321,982 504,385 630,307 762,159 Total Prepaid Subscribers 586,716 851,258 1,083,282 1,569,708

2007 2008 2009 2010Libercell 246 Libtelco 1,200 Comium 3,027 3,369 3,553 3,446 Cellcom 1,000 Total Postpaid Subscribers 3,027 3,369 4,753 4,692

Total Mobile Subscribers 1,574,400

Total Domestic Minutes UsedTotal International

Minutes Used Overall Tariff

Average Minutes Per Users Daily

Average Monthly Revenue Per User

1,964,275,399.64 209,312,251.25 2,173,587,650.89 4.14 $13.66

Grand Cape Mount

Table 5.7.1: Mobile Phone Usage in Liberia, 2010

Source: Liberia Telecommunication Authority

Table 5.7: GSM Mobile Operators and Subscribers of Liberia, 2007-2010

GSM OperatorPrepaid Subscribers

GSM OperatorPostpaid Subscribers

Source: Liberia Telecommunication Authority



Documents

STATISTICAL BULLETIN - undp.org · The bulletin includes social, demographic and economic statistics disaggregated by county, urban and rural, age and sex in most instances. LISGIS