Population Reference Bureau (PRB)

8/9/2019 Population Reference Bureau (PRB).

1/19

2010Wd PP

Data Sheet

I n f m | e m e | a D v a n c e | w w w . p r b . o

PoPulation RefeRence BuReau

60The number of mobile phone

subscribers per 100

inhabitants worldwide.

BY2050,

Japans population is projectedto decline to 95 million from 12

million in 2010.

76%The percentage of people in

urban areas worldwide whouse improved sanitation.

2.5The total fertility rate worldwide.

TFRs range from 1.7 in more

developed countries to 4.5 in

the least developed countries.


2/19 2010 Population eference Bureau 2010 WORLD POPULATION DATA SHEET 2

Most PoPulous Countries, 2010 d 20502010 2050

Country PoPulation (millions)

India 1,748

China 1,437

United States 423

Pakistan 335

Nigeria 326

Indonesia 309

Bangladesh 222

Brazil 215

Ethiopia 174

Congo, Dem. Rep. 166

Country PoPulation (millions)

China 1,338

India 1,189

United States 310

Indonesia 235

Brazil 193

Pakistan 185

Bangladesh 164

Nigeria 158

Russia 142

Japan 127

Countries Wh h Yg d dPP, 2010

younGEst % aGEs



W d P P h g h g h F O C U S O N A G I N G

Today, Global Population Adds Another Billion at Record Rates.t some point around 1800, after untod miennia of human history, goba popuation reahed its rst biion. he words popuation now

grows by 1 biion about every 12 years. he 20th entury began with 1.6 biion and, at the end of that entury, those two numbers had

simpy reversed to 6.1 biion. f birth rates ontinue to deine in deveoping ountries, the inrease to 8 biion oud take sighty onger.

FirstBillion

130 Years (1930)

ca. 1800All of Human History

30 Years (1960)

14 Years (1974)

13 Years (1987)

12 Years (1999)

12 Years (2011)

13 Years (2024)

Second

Third

Fourth

Fifth

Sixth

Seventh

Eighth

Source: Popuation Referene Bureau estimates and projetions; and Popuation Division, World Population Prospects: The 2008 Revision (2009).

As Developed Countries Undergo Aging and Little Growth in

Population Size, Developing Countries Remain Young and Growing.he popuation pyramid of the deveoped ountries eary shows the deine in the number of young peope as a resut of ow birth rates.

he two pyramids provide a omparabe piture of the deveoped and deveoping ountries in the size of their respetive popuations and

Source: Popuation Division, World Population Prospects: The 2008 Revision (2009).

85+

Age

80-84

75-79

70-74

65-69

60-64

55-59

50-54

45-49

40-44

35-39

30-34

25-29

20-24

15-19

10-14

5-9

0-4

200 200100 1000

Population (millions), 2010

FemalesMales

300 300

85+

Age

80-84

75-79

70-74

65-69

60-64

55-59

50-54

45-49

40-44

35-39

30-34

25-29

20-24

15-19

10-14

5-9

0-4

200 200100 1000

Population (millions), 2010

FemalesMales

300 300

DEVELOPED COUNTRIES DEVELOPING COUNTRIESage struture. n some

deveoped ountries, the

size of the youngest age

group is barey more than

haf that of their parents

age group. When the two

popuation pyramids are

ompared, it is obvious

that virtuay a future

word popuation growth

wi take pae in the

deveoping ountries. But

the amount of growth

these ountries wi expe-

riene depends upon the

degree to whih oupes

in those ountries

hoose to redue famiy

size and have aess to

famiy panning servies.


4/19 2010 Population Reference Bureau 2010 WORLD POPULATION DATA SHEET 4

W O R L D P O P U L A T I O N H I G H L I G H T SF O C U S O N A G I N G

The Number of Working-Age Adults Available to Support anOlder Person Is Declining Globally but Still Varies SubstantiallyFrom Country to Country.Population aging puts pressure on a societys ability to support its elderly citizens. A commonly used indicator of this pressure is the elderly

support ratio, calculated as the number of working-age people ages 15 to 64 divided by the number of persons 65 or older. This ratioserves as a rough indicator of the number of potential providers of support per potential elderly dependent. In 1950, there were 12 working

age people for every elderly person in the world. By 2010, this ratio had declined to 9, with the largest decline occurring in more developed

countries. But the ratios still vary substantially across countries. In 24 countries, mostly in Europe, there are fewer than 5 working-age

people for every elderly person. The ratio is lowest in Japan, Italy, and Germanyat 3. The ratio is above 25 in seven countries, principally

in sub-Saharan Africa and the Middle East. By 2050, the ratio for the world is projected to decline by more than one-halfto 4, and Japan

will have the lowest ratio of only 1 working-age adult per elderly person. The elderly support ratio will be below 5 in more than half of the

worlds countries. By 2050, no country will have a ratio above 20.

15 and over

10 to 14.9

5 to 9.9

Less than 5

Elderly Support Ratio (2010)

Elderly Support Ratio (2050)

Country ratio

Niger 19

Uganda 16

Guatemala 7

Pakistan 7

Egypt 5

India 5

Morocco 4

United States 3

Mexico 3

China 3

France 2

Japan 1

Source: UN Population Division,

World Population Prospects:

The 2008 Revision (2009).



W d P P h g h g h F O C U S O N A G I N G

he number of peope age 65 or oder in the nited States wi more than doube from 40 miion in 2010 to 89 miion by 2050. Spending

on Soia Seurity and Mediare is projeted to inrease dramatiay between now and 2050 as the number of peope reeiving benets

grows. he magnitude of this inreased spending is iustrated by omparing the projeted osts of these two programs with Gross

Domesti Produt (GDP), whih measures the tota output of the .S. eonomy. n 1970, spending on Soia Seurity and Mediaretotaed ony about 4 perent of GDP, whie by 2010 this share had risen to more than 8 perent of GDP. By 2030, Mediare expenditures

0

1

2

3

4

5

6

7

8

9

10

1970 1980

Social Security

Medicare

3.2%

8.7%

5.8%

0.7%

1990 2000 2010 2020 2030 2040 2050

Expenditures as a Percentage of GDP

Spending as a Percentage of GDP

2010 2030 2050

Social Security 4.9 6.1 5.8

Medicare 3.5 6.4 8.7

Total 8.4% 12.5% 14.5%

As the U.S. Population Ages, Spending on Entitlement ProgramsSuch as Social Security and Medicare Will Rise Sharply.

Source: .S. Soia Seurity dministration,A Summary of the 2009 Annual Social Security and Medicare Trust Fund Reports (2009).

Wordwide, 40 perent of the popuation, or more than 2.6 biion peope, ak one of ifes basi needs: an adequate sanitation faiity,

dened as one that hygieniay separates sewage from human ontat. here are wide regiona and rura-urban disparities, and the

Sub-Saharan Africa43

24

59

29

66

54

86

55

79

59

93

66

99

92

Percent of Population Who Use Improved Sanitation (2008)

South Central Asia

East Asia

Latin America/Caribbean

Southeast Asia

Western Asia

More DevelopedCountries

Urban

Rural

In Many Parts of the World, Rural Populations Still LackAdequate Sanitation.

Source: Regiona estimates auated by PRB based on data from the WH/c Joint Monitoring Programme for Water Suppy and Sanitation.

are projeted to exeed those

for Soia Seurity; by 2050, tota

spending on these two programs is

projeted to reah amost 15 perent

of GDP. he rapid growth in Mediare

spending wi be fueed by the rising

ost and use of heath are servies,

in addition to the inrease in the

number of peope reeiving benets.

buk of the underserved ive

in rura areas of deveoping

ountries. Muh of the word

is making itte progress

toward meeting the Miennium

Deveopment Goa target to

have the proportion of the

words popuation without

aess to basi sanitation

by 2015. t the urrentpae, the word wi miss the

MDG target for improved

sanitation by 13 perentage

points: pproximatey 1 biion

peope who are targeted for

improvement wi sti ak

aess.



WORLD 6,892 20 8 1.2 8,108 9,485 1.4 46 2.5 27 8

MORE DEVELOPED 1,237 11 10 0.2 2 1,290 1,326 1.1 6 1.7 17 16

LESS DEVELOPED 5,656 22 8 1.4 -1 6,819 8,159 1.4 50 2.7 30 6

LESS DEVELOPED (Excl. China) 4,318 25 8 1.7 -1 5,343 6,722 1.6 54 3.1 33 5

LEAST DEVELOPED 857 35 12 2.3 -0 1,172 1,710 2.0 81 4.5 41 3

AFRICA 1,030 37 13 2.4 -1 1,412 2,084 2.0 76 4.7 41 3

SUB-Sahaan afIca 865 39 14 2.5 -0 1,207 1,831 2.1 81 5.2 43 3

nthen afIca 209 26 7 1.9 -0 262 329 1.6 42 3.0 33 4

leria 36.0 23 5 1.8 -1 43.6 50.4 1.4 28 2.3 28 5

ypt 80.4 27 6 2.1 -0 103.6 137.7 1.7 28 3.0 33 4

ibya 6.5 23 4 1.9 1 8.1 9.8 1.5 18 2.7 30 4

Morocco 31.9 21 6 1.5 -3 36.6 41.2 1.3 31 2.4 29 5

uan 43.2 33 11 2.2 1 56.7 75.9 1.8 81 4.5 41 3

unisia 10.5 18 6 1.2 -0 12.1 13.2 1.2 18 2.1 24 7

Western aara 0.5 34 9 2.5 9 0.7 1.2 2.4 63 4.5 40 3

weSten afIca 309 41 15 2.6 -1 435 682 2.2 81 5.5 43 3

Benin 9.8 40 10 3.0 0 13.6 22.1 2.3 89 5.6 45 3

Burkina Faso 16.2 46 12 3.4 0 25.4 47.4 2.9 81 6.0 46 3

Cape Vere 0.5 25 6 2.0 -3 0.7 0.8 1.6 25 2.9 35 5

Cte 'voire 22.0 37 14 2.4 -1 30.8 47.2 2.1 97 4.9 40 2

gambia 1.8 38 12 2.7 3 2.5 3.8 2.1 81 5.3 43 3gana 24.0 31 9 2.2 -1 31.8 44.6 1.9 50 4.0 39 4

guinea 10.8 41 11 3.0 0 15.9 25.1 2.3 91 5.7 43 3

guinea-Bissau 1.6 43 18 2.4 0 2.3 3.6 2.2 121 5.8 43 3

iberia 4.1 43 11 3.3 1 6.1 10.0 2.4 95 5.9 44 3

Mali 15.2 46 15 3.1 -6 22.3 35.6 2.3 116 6.6 48 3

Mauritania 3.4 34 11 2.3 1 4.4 6.1 1.8 73 4.5 40 3

ier 15.9 52 17 3.5 -6 27.4 58.2 3.7 108 7.4 49 2

ieria 158.3 42 17 2.4 -0 217.4 326.4 2.1 75 5.7 43 3

eneal 12.5 39 11 2.8 -2 17.4 25.4 2.0 58 4.9 44 2

ierra eone 5.8 40 16 2.4 2 8.1 12.4 2.1 89 5.1 43 2

oo 6.8 33 8 2.5 -0 9.3 13.2 1.9 81 4.8 41 3

eaSten afIca 326 40 13 2.7 -0 465 709 2.2 72 5.3 44 3

Buruni 8.5 36 15 2.1 8 11.6 16.8 2.0 98 5.4 41 3

Comoros 0.7 33 7 2.6 -3 0.9 1.2 1.8 53 4.1 38 3

djibouti 0.9 29 11 1.8 0 1.1 1.5 1.7 67 4.0 37 3

ritrea 5.2 37 9 2.9 2 7.4 10.8 2.1 54 4.7 42 2

tiopia 85.0 39 12 2.7 -1 119.8 173.8 2.0 77 5.4 44 3

Kenya 40.0 37 10 2.7 0 51.3 65.2 1.6 52 4.6 42 3

Maaascar 20.1 37 9 2.7 -0 28.6 42.7 2.1 48 4.8 43 3

Malawi 15.4 44 15 2.9 0 22.9 37.4 2.4 80 6.0 46 3

Mauritius 1.3 12 7 0.5 -0 1.4 1.4 1.1 13.4 1.5 22 7

Mayotte 0.2 39 3 3.6 4 0.3 0.5 2.6 4.5 44 2

Mozambique 23.4 40 16 2.3 -0 31.2 44.1 1.9 90 5.1 44 3

eunion 0.8 18 5 1.3 -0 1.0 1.1 1.3 8 2.4 26 8

wana 10.4 42 14 2.9 0 15.8 28.3 2.7 102 5.4 42 2

eycelles 0.1 18 7 1.0 0 0.1 0.1 1.4 11.5 2.3 22 10

omalia 9.4 46 16 3.0 -6 13.9 23.5 2.5 111 6.5 45 3

anzania 45.0 42 12 3.0 -1 67.4 109.5 2.4 58 5.6 45 3

ana 33.8 47 13 3.4 -1 53.4 91.3 2.7 76 6.5 49 3Zambia 13.3 45 20 2.5 -1 20.3 37.6 2.8 70 6.2 46 3

Zimbabwe 12.6 30 17 1.3 0 16.8 22.2 1.8 60 3.7 42 4

mIDDLe afIca 129 44 16 2.7 -0 188 296 2.3 111 5.9 46 3

nola 19.0 42 17 2.5 1 27.4 42.3 2.2 118 5.8 45 2

Cameroon 20.0 37 14 2.3 -0 26.5 36.7 1.8 87 4.7 41 4

Central frican epublic 4.8 38 16 2.2 0 6.6 10.3 2.1 106 4.8 41 4

Ca 11.5 46 17 2.9 -1 16.9 27.8 2.4 130 6.2 46 3

Cono 3.9 38 13 2.5 -3 5.5 8.2 2.1 79 5.0 42 4

Cono, dem. ep. 67.8 47 17 2.9 -1 101.4 166.2 2.5 114 6.4 48 3

quatorial guinea 0.7 39 16 2.3 4 1.0 1.4 2.1 103 5.5 42 3

gabon 1.5 29 10 1.9 1 2.0 2.8 1.9 55 3.6 39 4

ao ome an Principe 0.2 37 7 2.9 -7 0.2 0.3 2.1 45 4.9 44 4

Populationmid-2010(millions)

Births per1,000

Population

Deaths per1,000

Population

Rate ofNaturalIncrease

(%)

NetMigration

Rateper 1,000Population mid2025 mid2050

2050Population

as aMultipleof 2010

InfantMortality

Ratea

TotalFertilityRateb




Births per1,000

Population

Deaths per1,000

Population


(%)

NetMigration


2050Population

as aMultipleof 2010

InfantMortality

Ratea

TotalFertilityRateb


10/19 2010 Population eference Bureau 2010 WORLD POPULATION DATA SHEET 10See notes on page 17.

WORLD 9 4 69 67 71 50 0.8 0.9 62 55

MORE DEVELOPED 4 2 77 74 81 75 0.7 0.3 71 60

LESS DEVELOPED 11 4 67 66 69 44 0.9 1.1 60 54

LESS DEVELOPED (Excl. China) 13 5 65 63 67 44 1.1 1.4 52 44

LEAST DEVELOPED 17 9 56 55 57 27 1.9 2.7 29 23

AFRICA 16 9 55 54 57 38 3.2 4.8 29 23SUB-Sahaan afIca 17 11 52 51 53 35 3.7 5.6 23 17

nthen afIca 14 5 69 67 71 50 0.3 0.4 49 44

leria 15 4 72 71 74 63 0.1



2010 2050 Both Sexes Males Females Percent Urban Males Females All MethodsModernMethods

Life Expectancyat Birth (years)

Percent of PopulationWith HIV/AIDS

Adults Ages 1549,2007/2009

Percent of MarriedWomen 1549 Using

ContraceptionElderlySupport Ratioc

POPULATION, HEALTH, AND ENVIRONMENT DATA AND ESTIMATESFOR THE COUNTRIES AND REGIONS OF THE WORLD

See notes on page 17.

SUthen afIca 14 7 55 53 57 50 14.7 22.3 59 58

Botswana 16 9 55 55 55 60 18.9 28.9 44 42

esoto 12 11 41 40 43 23 19.4 27.1 37 35

amibia 16 8 61 60 62 35 12.2 18.6 55 53

out frica 14 7 55 54 57 52 14.4 21.8 60 60

wazilan 17 15 46 46 45 22 20.2 32.1 51 48AMERICAS 7 3 75 72 78 78 0.8 0.3 75 69

NORTHERN AMERICA 5 3 78 76 81 79 0.9 0.3 78 73

Canaa 5 2 81 78 83 80 0.5 0.2 74 72

nite tates 5 3 78 75 80 79 0.9 0.3 79 73

LATIN AMERICA/CARIBBEAN 9 3 74 71 77 77 0.7 0.4 73 67

centaL ameIca 10 3 75 72 78 71 0.5 0.3 68 63

Belize 15 5 73 71 74 51 1.6 2.5 34 31

Costa ica 11 3 79 77 82 59 0.5 0.2 80 72

l alvaor 8 4 71 67 76 63 1.2 0.5 73 66

guatemala 12 7 70 66 73 47 1.1 0.4 43 34

honuras 14 5 72 70 75 50 0.9 0.4 65 56

Mexico 10 3 76 74 79 77 0.4 0.2 71 67

icaraua 13 4 71 69 73 56 0.3 0.1 72 70

Panama 10 4 76 73 78 64 1.4 0.6

caIBBean 8 3 72 69 74 65 1.2 1.1 62 55

ntiua an Barbua 75 73 77 31

Baamas 10 3 74 71 77 83 4.4 1.6

Barbaos 7 2 74 71 76 38 1.8 0.6

Cuba 6 2 78 76 80 75 0.1






Adults Ages 1549,2007/2009





srael 6 3 81 79 83 92 0.2






Adults Ages 1549,2007/2009





weSten eUpe 4 2 80 78 83 75 0.3 0.1 73 69

ustria 4 2 80 78 83 67 0.3 0.1 57 41

Belium 4 2 80 77 82 99 0.3 0.1 75 73

France 4 2 81 78 85 77 0.5 0.2 79 76

germany 3 2 80 77 82 73 0.2


14/19 2010 Population eference Bureau 2010 WORLD POPULATION DATA SHEET 14See notes on page 17.

WORLD $10,030 51 60 76 45

MORE DEVELOPED 32,370 23 109 99 92

LESS DEVELOPED 5,150 68 49 68 40

LESS DEVELOPED (Excl. China) 4,880 59 49 72 37

LEAST DEVELOPED 1,240 41 21 49 31AFRICA 2,630 34 37 55 31

SUB-Sahaan afIca 1,930 36 32 43 24

nthen afIca 5,370 25 59 88 66

leria 7,940 15 93 98 88

ypt 5,460 80 51 97 92

ibya 15,630 4 77 97 96

Morocco 4,330 71 72 83 52

uan 1,930 17 29 55 18

unisia 7,070 64 85 96 64

Western aara 2

weSten afIca 1,600 50 39 35 20

Benin 1,460 87 42 24 4

Burkina Faso 1,160 59 17 33 6

Cape Vere 3,450 128 56 65 38

Cte 'voire 1,580 68 51 36 11gambia 1,280 155 70 68 65

gana 1,430 101 50 18 7

guinea 1,190 44 39 34 11

guinea-Bissau 530 46 32 49 9

iberia 300 37 19 25 4

Mali 1,090 12 27 45 32

Mauritania 2,000 3 65 50 9

ier 680 13 13 34 4

ieria 1,940 171 42 36 28

eneal 1,760 64 44 69 38

ierra eone 750 81 18 24 6

oo 820 119 24 24 3

eaSten afIca 1,030 51 19 37 25

Buruni 380 306 6 49 46

Comoros 1,170 309 15 50 30

djibouti 2,330 38 13 63 10

ritrea 630 44 2 52 4

tiopia 870 77 2 29 8

Kenya 1,580 69 42 27 32

Maaascar 1,040 34 25 15 10

Malawi 830 130 12 51 57

Mauritius 12,480 628 81 93 90

Mayotte 545 28

Mozambique 770 29 20 38 4

eunion 333 75

wana 1,010 395 14 50 55

eycelles 19,770 193 112 97

omalia 15 7 52 6

anzania 1,230 48 31 32 21ana 1,140 140 27 38 49

Zambia 1,230 18 28 59 43

Zimbabwe 32 13 56 37

mIDDLe afIca 1,710 20 23 44 22

nola 5,020 15 38 86 18

Cameroon 2,180 42 32 56 35

Central frican epublic 730 8 4 43 28

Ca 1,160 9 17 23 4

Cono 3,090 12 50 31 29

Cono, dem. ep. 290 29 14 23 23

quatorial guinea 21,700 25 52

gabon 12,270 6 90 33 30

ao ome an Principe 1,780 170 31 30 19

GNI PPPper Capita

(US$)2008

Populationper SquareKilometer

Mobile PhoneSubscribers

per 100Inhabitants Urban Rural

POPULATION, HEALTH, AND ENVIRONMENTDATA AND ESTIMATES FOR THE COUNTRIES

AND REGIONS OF THE WORLD

Percent of PopulationWho Use ImprovedSanitation (2008)



GNI PPPper Capita

(US$)2008






SUthen afIca 9,390 21 86 82 59

Botswana 13,100 3 77 74 39

esoto 2,000 63 28 40 25

amibia 6,270 3 49 60 17

out frica9,780 41 91 84 65

wazilan 5,010 69 46 61 53

AMERICAS 23,370 22 82 92 71

NORTHERN AMERICA 45,890 16 85 100 99

Canaa 36,220 3 66 100 99

nite tates 46,970 32 87 100 99

LATIN AMERICA/CARIBBEAN 10,140 28 80 86 55

centaL ameIca 11,910 62 75 89 68

Belize 6,040 15 53 93 86

Costa ica 10,950 90 42 95 96

l alvaor 6,670 294 113 89 83

guatemala 4,690 132 109 89 73

honuras 3,870 68 85 80 62

Mexico 14,270 57 69 90 68

icaraua 2,620 46 55 63 37

Panama 11,650 46 115 75 51caIBBean 177 50 77 55

ntiua an Barbua 20,570 205 158 98

Baamas 25 106 100 100

Barbaos 637 159 100 100

Cuba 101 3 100 81

dominica 8,300 96 150

dominican epublic 7,890 203 72 87 74

grenaa 8,060 320 58 96 97

guaeloupe 239 70 95

haiti 1,180 353 32 24 10

Jamaica 7,360 246 101 82 84

Martinique 368 75 95

eterlans ntilles 255 109

Puerto ico 448 86

t. Kitts-evis 15,170 203 157 96 96

aint ucia 9,190 327 100

t. Vincent & te grenaines 8,770 276 119 96

rinia an obao 23,950 257 113 92 92

SUth ameIca 10,150 22 85 86 46

rentina 14,020 15 117 91 77

Bolivia 4,140 9 50 34 9

Brazil 10,070 23 78 87 37

Cile 13,270 23 88 98 83

Colombia 8,510 40 92 81 55

cuaor 7,760 50 86 96 84

Frenc guiana 3 50

guyana 2,510 4 37 85 80

Parauay 4,820 16 95 90 40

Peru 7,980 23 73 81 36uriname 7,130 3 81 90 66

ruuay 12,540 19 105 100 99

Venezuela 12,830 32 96

ASIA 6,000 130 49 69 42

aSIa (exl. ci) 5,990 126 49 75 38

weSten aSIa 10,590 49 81 93 66

rmenia 6,310 104 100 95 80

zerbaijan 7,770 104 75 51 39

Barain 1,807 186 100

Cyprus 24,040 118 118 100 100

georia 4,850 67 64 96 93

raq 72 58 76 66





GNI PPPper Capita

(US$)2008







srael 27,450 342 127 100 100

Joran 5,530 73 87 98 97

Kuwait 52,610 175 100 100 100

ebanon 10,880 409 34 100

man20,650 10 116 97

Palestinian erritory 672 28 91 84

Qatar 152 131 100 100

aui rabia 22,950 14 143 100

yria 4,350 122 33 96 95

urkey 13,770 94 89 97 75

nite rab mirates 64 209 98 95

Yemen 2,210 45 16 94 33

SUth centaL aSIa 3,130 163 34 59 29

fanistan 45 29 60 30

Banlaes 1,440 1,142 28 56 52

Butan 4,880 15 37 87 54

nia 2,960 362 29 54 21

ran 10,840 46 59

Kazakstan 9,690 6 96 97 98

Kyryzstan 2,130 27 63 94 93Malives 5,280 1,070 143 100 96

epal 1,120 191 15 51 27

Pakistan 2,700 232 50 72 29

ri anka 4,480 315 55 88 92

ajikistan 1,860 53 54 95 94

urkmenistan 6,210 11 23 99 97

zbekistan 2,660 63 47 100 100

SUtheaSt aSIa 4,510 133 66 79 59

Brunei 50,200 66 96

Camboia 1,820 83 29 67 18

nonesia 3,830 124 62 67 36

aos 2,060 27 33 86 38

Malaysia 13,740 87 103 96 95

Myanmar 1,290 79 1 86 79

Pilippines 3,900 313 75 80 69

inapore 47,940 7,526 138 100

ailan 5,990 133 92 95 96

imor-este 4,690 77 9 76 40

Vietnam 2,700 268 80 94 67

eaSt aSIa 9,080 134 54 66 54

Cina 6,020 140 48 58 52

Cina, hon Kon e 43,960 6,410 166

Cina, Macao e 52,260 20,731 177

Japan 35,220 337 87 100 100

Korea, ort 189

Korea, out 28,120 491 95 100 100

Monolia 3,480 2 67 64 32

aiwan 644 110

EUROPE 25,580 32 125 97 88eUpean UnIn 30,600 115 123 99 93

nthen eUpe 36,120 55 126 100 99

Cannel slans 804

denmark 37,280 129 126 100 100

stonia 19,280 30 188 96 94

Finlan 35,660 16 129 100 100

celan 25,220 3 109 100 100

relan 37,350 64 121 100 98

atvia 16,740 35 99 82 71

ituania 18,210 51 151

orway 58,500 13 110 100 100

ween 38,180 21 118 100 100

nite Kinom 36,130 256 126 100 100




GNI PPPper Capita

(US$)2008







weSten eUpe 36,440 170 115 100 100

ustria 37,680 100 130 100 100

Belium 34,760 354 112 100 100

France 34,400 114 93 100 100

germany35,940 229 128 100 100

iectenstein 225 95

uxembour 64,320 196 147 100 100

Monaco 35,835 67 100

eterlans 41,670 400 125 100 100

witzerlan 46,460 190 118 100 100

eaSten eUpe 14,440 16 128 94 77

Belarus 12,150 46 84 91 97

Bularia 11,950 68 138 100 100

Czec epublic 22,790 133 134 99 97

hunary 17,790 108 122 100 100

Molova 3,210 122 67 85 74

Polan 17,310 122 115 96 80

omania 13,500 90 115 88 54

ussia 15,630 8 141 93 70

lovakia 21,300 111 102 100 99kraine 7,210 76 121 97 90

SUthen eUpe 26,740 118 129 99 97

lbania 7,950 112 100 98 98

norra 179 76 100 100

Bosnia-herzeovina 8,620 75 84 99 92

Croatia 18,420 78 133 99 98

greece 28,470 86 124 99 97

taly 30,250 201 152

Kosovof 207

Maceonia 9,950 80 123 92 82

Malta 22,460 1,326 95 100 100

Montenero 13,920 46 118 96 86

Portual 22,080 116 140 100 100

an Marino 522 77

erbia 11,150 94 98 96 88

lovenia 26,910 101 102 100 100

pain 31,130 93 112 100 100

OCEANIA 24,380 4 83 98 66

ustralia 34,040 3 105 100 100

Feerate tates of Micronesia 3,000 158 31

Fiji 4,270 47 71

Frenc Polynesia 68 70 99 97

guam 344 59 99 98

Kiribati 3,660 139 1

Marsall slans 298 2 83 53

auru 507 50

ew Caleonia 14 80

ew Zealan 25,090 16 109

Palau 45 60 96 Papua ew guinea 2,000 15 9 71 41

amoa 4,340 68 69 100 100

olomon slans 2,580 19 6 98

ona 3,880 139 49 98 96

uvalu 376 20 88 81

Vanuatu 3,940 20 15 66 48

NOTES

() Indicates data unavailable or inapplicable.

a Infant deaths per 1,000 live births. Ratesshown with decimals indicate national sta-tistics reported as completely registered,while those without are estimates fromthe sources cited on reverse. Rates shownin italics are based upon fewer than 50annual infant deaths and, as a result, are

subject to considerable yearly variability.b Average number of children born to a

woman during her lifetime.

c The number of people of working age(15-64), divided by those ages 65+.

d The status of Western Sahara is disputedby Morocco.

e Special Administrative Region.

f Kosovo declared independence fromSerbia on Feb. 17, 2008. Serbia has notrecognized Kosovos independence.

g The former Yugoslav Republic.

h Includes Kosovo.

* Data prior to 2004 are shown in italics.

For additional notes and sources, see reverseside.

Data prepared by PRB demographer Carl Haub.

July 2010. Population Reference Bureau.All rights reserved.




ACNOWLEDGMENTS

he author gratefully acknowledges the

aluable assistance of PRB staff members

onna Clifton, Jennay Ghowrwal, Toshiko

aneda, Mary Mederios Kent, Kata Fustos,

nd Will Thompson; staff of the Interna-

onal Programs Center of the U.S. Census

ureau; the United Nations (UN) Population

ivision; the Institut national detudes

mographiques (INED), Paris; and theWorld Bank in the preparation of this

ears World Population Data Sheet. This

ublication is funded by the William and

lora Hewlett Foundation, the David and

ucile Packard Foundation, the U.S. Agency

or I nternational Development (Cooperative

greement GPO-A-00-03-00004-00),

nd supporters. The information in this

Data Sheetwas not provided by and does

ot represent the views of the United

tates government or the U.S. Agency

or I nternational Development.

NOTES

he Data Sheetlists all geopolitical entities

with populations of 150,000 or more and

ll members of the UN. These include

overeign states, dependencies, overseas

epartments, and some territories whose

tatus or boundaries may be undetermined

r in dispute. More developed regions,

ollowing the UN classication, comprise

ll of Europe and North America, plus

Australia, Japan, and New Zealand. All

ther regions and countries are classied

s less developed. The least developed

ountries consist of 49 countries with

specially low incomes, high economic

ulnerability, and poor human developmentndicators. The criteria and list of countries,

s dened by the United Nations, can be

ound at www.unohrlls.org/en/ldc/.

Sub-Saharan Africa: All countries of

frica except the northern African countries

f Algeria, Egypt, Libya, Morocco, Tunisia,

nd Western Sahara.

World and Regional Totals: Regional

opulation totals are independently rounded

nd include small countries or areas not

hown. Regional and world rates and per-

entages are weighted averages of countries

or which data are available; regional aver-

ges are shown when data or estimates are

vailable for at least three-quarters of the

egions population.

World Population Data Sheets from different

ears should not be used as a time series.

luctuations in values from year to year

ften reect revisions based on new data or

stimates rather than actual changes in levels.

dditional information on likely trends and

onsistent time series can be obtained from

RB, and are also available in UN and U.S.

ensus Bureau publications and websites.

SOURCES

The rates and gures are primarily compiled

from the following sources: ofcial country

statistical yearbooks, bulletins, and websites;

United Nations Demographic Yearbook, 2007

of the UN Statistics Division; World Population

Prospects: The 2008 Revisionof the UN

Population Division; and the International

Data Base of the International Programs

Center, U.S. Census Bureau. Other sourcesinclude recent demographic surveys such

as the Demographic and Health Surveys,

Reproductive Health Surveys, special studies,

and direct communication with demographers

and statistical bureaus in the United States

and abroad. Specic data sources may be

obtained by contacting the author of the

2010 World Population Data Sheet. For

countries with complete registration of births

and deaths, rates are those most recently

reported. For more developed countries,

nearly all vital rates refer to 2009 or 2008.

DEFINITIONS

Mid-2010 Population

Estimates are based on a recent census;

ofcial national data; or PRB, UN, and U.S.

Census Bureau projections. The effects

of refugee movements, large numbers of

foreign workers, and population shifts due to

contemporary political events are taken into

account to the extent possible.

Birth and Death Rate

The annual number of births and deaths

per 1,000 total population. These rates are

often referred to as crude rates since they

do not take a populations age structure into

account. Thus, crude death rates in moredeveloped countries, with a relatively large

proportion of high-mortality older population,

are often higher than those in less developed

countries with lower life expectancy.

Rate of Natural Increase (RNI)

The birth rate minus the death rate, implying the

annual rate of population growth without regard

for migration. Expressed as a percentage.

Net Migration

The estimated rate of net immigration

(immigration minus emigration) per 1,000

population for a recent year based upon

the ofcial national rate or derived as a

residual from estimated birth, death, and

population growth rates. Migration rates

can vary substantially from year to year for

any particular country, as can the denition

of an immigrant.

2050 Population as a Multiple of 2010

Projected populations based upon reason-

able assumptions on the future course of

fertility, mortality, and migration. Projections

are based upon ofcial country projections,

series issued by the UN or the U.S. Census

Bureau, or PRB projections.

Infant Mortality Rate

The annual number of deaths of infants under

age 1 per 1,000 live births. Rates shown with

decimals indicate national statistics reported

as completely registered, while those without

are estimates from the sources cited above.

Rates shown in italics are based upon fewer

than 50 annual infant deaths and, as a result,

are subject to considerable yearly variability.

Total Fertility Rate (TFR)The average number of children a woman

would have assuming that current

age-specic birth rates remain constant

throughout her childbearing years (usually

considered to be ages 15-49).

Population Under Age 15/Age 65+

The percentage of the total population in

these ages, which are often considered the

dependent ages.

Elderly Support Ratio

The number of working-age people ages

15-64 divided by the number of persons 65

or older, indicating levels of potential societalsupport available for the elderly.

Life Expectancy at Birth

The average number of years a newborn

infant can expect to live under current

mortality levels.

Percent Urban

Percentage of the total population living

in areas termed urban by that country.

Countries dene urban in many different

ways, from population centers of 100 or

more dwellings to only the population living

in national and provincial capitals.

Prevalence of HIV/AIDSThe estimated percentage of adults ages

15-49 living with HIV/AIDS. Most gures are

from UNAIDS 2008 Report on the Global

AIDS Epidemic. Figures are updated with

data from Demographic and Health Surveys

where available. Some regional averages

were calculated by PRB.

Contraceptive Use

The percentage of currently married or

in-union women of reproductive age

who are using any form of contraception.

Modern methods include clinic and supply

methods such as the pill, IUD, condom, and

sterilization. Data are from the most recently

available national-level surveys, such as

Demographic and Health Surveys, Repro-

ductive Health Surveys, Multiple Indicator

Cluster Surveys, regional survey programs,

national surveys, and the UN Population

Division World Contraceptive Use 2009.

For more developed countries, data refer to

some point in the 1990s and early 2000s;

and for less developed countries, from 1995.

Data prior to 2004 are shown in italics.

GNI PPP per Capita, 2008 (US$)

GNI PPP per capita is gross national in

in purchasing power parity (PPP) divid

midyear population. GNI PPP refers to

national income converted to internat

dollars using a purchasing power pari

version factor. International dollars ind

the amount of goods and services one

buy in the United States with a given a

of money. Data are from the World BaFigures in italics are for 2006 or 2007

Mobile Phone Subscribers per 1Inhabitants

Data are from the International Teleco

nications Union, Measuring the Inform

Society 2010(www.itu.int).

Percent of Population Who UseImproved Sanitation

For monitoring Millennium Developme

Goals, an improved sanitation facility

dened as one that hygienically separ

sewage from human contact. Data are

WHO/UNICEF Joint Monitoring Progra

for Water Supply and Sanitation (www

wssinfo.org/datamining/tables.html).

Acknowledgments, Notes, Sources, and Definitions

For a full list of PRB publications ava

able in English, French, Spanish, Ara

and Portuguese, go to PRBs online

at www.prb.org.

To order PRB publications (discounts

available for bulk orders):

Online at www.prb.org.

E-mail: [email protected].

Call toll-free: 800-877-9881. Fax: 202-328-3937.

Mail: 1875 Connecticut Ave., NW,

520, Washington, DC 20009

The 2010 World Population Data Sh

is also available in French and Span

Data prepared by PRB demographer

Carl Haub.

July 2010. Population Reference

Bureau. All rights reserved.

ISSN 0085-8315

Photo credits from cover (clockwise

left): 2009 Arturo Sanabria, Court

of Photoshare; Richard Lord; 2Jacob Simkin, Courtesy of Photosha

2009 Valentin Casarsa, iStockPhoto

Photo credits from data side (left

right): 2007 Anne Clark, iStockPh

2008 Bart Coenders, iStockPhoto

2009 Wendy Leonard, Courtesy o

Photoshare; 2007 Vikram Raghuv

shi, iStockPhoto; 2005 Nancy Lou

iStockPhoto; Richard Lord.


19/19

e PoPulation referenCe Bureauiors people aroun t

world about population, health, and the environment, and powrs them t

use that information to d the well-being of current and future generation

875 Connecticut Ave., NW, Washington, DC 20009 USAel. 202-483-1100 | fax 202-328-3937 | e-mail: [email protected] | website: www.prb.org

you value te PBs World Population Data Sheetan are amon te tens of tousans of people wo eaerly anticipate its publication eac

ear, please consier makin a contribution to PB. Your onation will elp ensure tat PB can maintain its commitment to keepin te Data

heetas afforable as possible. Visit our website to onate now: www.prb.or.

FMRB informs peope around the word aboutsues reated to popuation, heath, and

he environment. o do this, we transform

ehnia data and researh into aurate,

asy-to-understand information.

nnovativE tools.Datainder is a PRB

earhabe database of 133 popuation, heath,

nd environment variabes for a ountries of the

word. separate .S. database inudes 579

oia, eonomi, and demographi variabes

or eah state and the Distrit of coumbia.

nfluEntial rEPorts. Female Genital

Mutilation/Cutting: Data and TrendsUpdate010 is a new and unique data sheet that

ghights GM/c data and information for

7 ountries. his pubiation is usefu to

hose working for the abandonment of GM/c

nd for the improvement of womens repro-

utive heath.

nbiasED PoliCy analysis.or more

han 20 years, PRB has hosted a monthy

eminar series foused on the poiy impia-

ons of popuation issues inuding negeted

opia diseases, imate hange and mortaity,

nd HV/DS.

onlinE rEsourCEs. PRBs website

ffers fu text of a PRB pubiations, inuding

ur respeted Population Bulletins, and web-

xusive data and anaysis on word issues

anging from aging to famiy panning.

MPWPRB empowers peoperesearhers, journa-ists, poiymakers, and eduatorsto use

information about popuation, heath, and the

environment to enourage ation. requenty,

peope have information but ak the toos

needed to ommuniate effetivey to deision-

makers. PRB buids oaitions and onduts

trainings to share tehniques to inform poiy.

Journalist nEtWorks. PRB buids

the apaity of journaists from deveoping

ountries through seminars and study tours.

We organized severa study tours for journaists

in ganda, Kenya, anzania, and Mai to visit

projets and the peope they affet.

PoliCy CommuniCations traininG.

n the past deade, PRB has trained more than

800 professionas in sia, fria, and latin mer-

ia. or exampe, we sponsored two workshops

with Kenyas ationa coordinating geny for

Popuation and Deveopment, training oa and

regiona poiymakers, program managers, and

advoates.

Data WorkshoPs. PRBs data workshops

and onine training assist the nnie . casey

oundations KDS c network in using vita

data about the status of hidren in the nited

States. Partiipants take away the knowedge

needed to aess data about their partiuar

state and ommuniate with poiymakers.

dVCPRB works to advane the we-being of uand future generations. oward that end, we

anayze data and researh, disseminate info

tion, and empower peope to use that inform

tion to inform poiymaking. Whie the numb

of pubiations reated or workshops ondu

are one way to measure PRBs work, the r

ation of evidene-based poiies, inreased

demand for heath servies, and ative oa

are better gauges of progress toward positiv

soia hange.

EviDEnCE-basED PoliCiEs. PRB pro

vides anaysis for the KDS c Data B

an annua report ard on the we-being of

hidren and famiies in the nited States.

Data Book has heped promote the passag

of severa .S. poiies, inuding the State

chidrens Heath nsurane Program.

DEmanD for hEalth sErviCEs.n

artie written after one study tour for journa

in Kenya ed to a steep inrease in vasetom

in western Kenya. Seminars for journaists in

West fria inreased overage of ontrae

suppy probems, prompting government a

in Senega.

aCtivE Coalitions. PRB works with th

ast fria Popuation, Heath, and nvironm

etwork to inrease information sharing ar

the region. he RcPH onine disussio

group improves aess to information and

apaity-buiding and funding opportunities

Documents

Population Reference Bureau (PRB)