Datos de La población mundial 2016. (Population Reference Bureau) 2016 world-population-data-sheet e

P OPUL AT ION R EF E RENC E BUR E AU

2016 WORLD POPULATION DATA SHEET WITH A SPECIAL FOCUS ON HUMAN NEEDS AND SUSTAINABLE RESOURCES

18%

526

7.4

billion

The percentage of energy consumed globally from renewable sources, including hydro power.

Average global population per square kilometer of arable land —239 in more developed countries, 697 in less developed.

The world population in 2016.

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w w w.prb.org

View the Digital Data Sheet at www.worldpopdata.org

Most Populous Countries COUNTRY, 2016

POPULATION (MILLIONS)

COUNTRY, 2050

POPULATION (MILLIONS)

China

1,378

India

1,708

India

1,329

China

1,344

United States

324

United States

398

Indonesia

259

Nigeria

398

Brazil

206

Indonesia

360

Pakistan

203

Pakistan

344

Nigeria

187

Brazil

226

Bangladesh

163

Congo, Dem. Rep.

214

Russia

144

Bangladesh

202

Mexico

129

Egypt

169

Highest and Lowest Total Fertility Rates, 2016 HIGHEST

LOWEST

Niger

7.6

Korea, South

1.2

South Sudan

6.7

Romania

1.2 1.2

Congo, Dem. Rep.

6.5

Singapore

Chad

6.4

Taiwan

1.2

Somalia

6.4

Bosnia-Herzegovina

1.3

Burundi

6.1

Greece

1.3

Angola

6.0

Moldova

1.3

Mali

6.0

Poland

1.3

Mozambique

5.9

Portugal

1.3

Uganda

5.8

Spain

1.3

NOTE: 2016 data refer to latest data available.

© 2016 Population Reference Bureau

See notes on page 20

2016 WORLD POPULATION DATA SHEET

2

Population Clock, 2016 1,254,309,821

6,163,842,020

147,183,065

13,714,857

133,468,215

Day

403,241

37,575

365,666

280

26

254

Year

57,387,752

12,580,616

44,807,108

Day

157,227

34,467

122,759

109

24

85

Year

89,795,313

1,134,242

88,661,107

Day

246,015

3,108

242,907

Minute Natural increase per

171

2

169

Year

5,226,233

65,229

5,160,998

Day

14,318

179

14,140

10

0.1

10

Minute Infant deaths per

Minute

© 2016 Population Reference Bureau

LESS DEVELOPED COUNTRIES

7,418,151,841

Minute

Deaths per

MORE DEVELOPED COUNTRIES

Year

Population

Births per

WORLD

See notes on page 20

2016 WORLD POPULATION DATA SHEET

3

OPULATION (MILLIONS)

DT I OPNOHPI GUHLL IA TTISO W O R LW D PO OR P ULL A GH F O C U S O N H U M A N N E E D S A N D S U S TA I N A B L E R E S O U R C E S

N

FOCUS ON HUMAN NEEDS AND SUST

1,708 1,344 398 398 360 344 226 214 202 169

U.S. Air Quality Improvements Led by Metro Areas

Middle-I

Particulate matter (PM) in the air is composed of dust, dirt, soot, smoke, and liquid droplets. Fine PM (particles smaller than 2.5 micrometers, known as PM2.5) can lodge deeply in the lungs and is hazardous to humans and to the environment. Numerous studies have linked PM2.5 to serious health problems including irregular heartbeat, asthma, heart attack, and premature death. Particulate matter can also pollute waterways and damage forests and crops. Air quality in the United States has improved since passage of the Clean Air Act of 1963 and its major amendments in 1970, 1977, and 1990. Stricter emissions regulations have reduced PM2.5 pollution nationwide, but rates of improvement have been fastest in metropolitan areas and manufacturing-dependent counties, which have higher levels of particulate pollution from motor vehicles, power plants, and industrial activity. Although rates of improvement have been slower in rural, mining, and agricultural areas, PM2.5 pollution remains lower than in metropolitan areas or manufacturing-dependent counties. And while air quality has improved, U.S. public health experts believe there is no safe level of exposure to particulate matter.

Worldwide, the hi adoption of pollut nations is to ensu particulate air pol from manufacturi the World Health currently is over fi

Annual Average Ambient Concentration of Fine Particulate Matter (PM 2.5) in Micrograms per Cubic Meter, Averages Across U.S. Counties

Trend in Annua Averages Acros

14.1 13.2

1.2

12.7

Upper-Middle

11.9 10.2

1.2

9.3

1.2

10.5

10.0

9.6 8.4

1.2

30

11.1

27

9.9

Lower-Middle

8.9 8.1

21

1.3

18

1.3 1.3 1.3

10

High

Low

WHO Recom

1.3 1.3

1990 National Average

ManufacturingDependent

MiningDependent

FarmDependent 2001

Large Metro

Mid to Small Metro

Non-Metro/ Rural

2011

Note: Country level PM aggregated to income

Notes: Large Metro is defined as 1 million population or more. Mid to Small Metro is defined as metropolitan area with less than 1 million population.

DEVELOPED COUNTRIES

GNI per Capita:

Sources: U.S. Environmental Protection Agency; PRB analysis of data from Centers for Disease Control and Prevention (CDC); and U.S. Department of Agriculture, Economic Research Service.

Sources: Michael Bra 79-88; World Bank; an Summary of Risk Asse

163,842,020

133,468,215

Municipal

Š 2016 Population Reference Bureau 365,666

254

2016 WORLD POPULATION DATA SHEET

4

L AW T OI O HPIUGL AHT ILOINGHH R LN D PO I GT HS LIGHTS

F O C U S O N H U M A N N E E D S A N D S U S TA I N A B L E E E D S A N D S U S TA INABLE RESOURCES

Middle-Income Countries Face Biggest Air Pollution Challenge

2.5 s studies culate ge of the .5 pollution have have been pendent e matter.

Worldwide, the highest national-level concentrations of PM2.5 are in middle-income countries such as China and Bangladesh where adoption of pollution control measures has lagged behind rapid industrialization. The challenge for both low-income and middle-income nations is to ensure people have clean air to breathe without hindering development. As depicted in the accompanying U.S. graphic, particulate air pollution in many of the world’s high-income countries has declined with shifts towards more efficient energy use and away from manufacturing. However, no group of countries is immune to the dangers of air pollution; even the high-income average surpasses the World Health Organization’s target of limiting the presence of PM2.5 to no more than 10 micrograms per cubic meter of air. China currently is over five times this level, while France exceeds the recommended level by 40 percent.

Trend in Annual Average Ambient Concentration of Fine Particular Matter (PM2.5) in Micrograms per Cubic Meter, Averages Across Countries by Income Category 39 36 Upper-Middle 30

27

Lower-Middle

8.9

n-Metro/ Rural

ure,

RESOURCES

21

18

High

20

Low

15 10

WHO Recommended Limit

1990 GNI per Capita:

1995 Low-Income $1,045 or Less

10 2000

2005

Lower Middle-Income $1,046 to $4,125

Upper Middle-Income $4,126 to $12,735

2010

2013

High-Income $12,736 or More

Note: Country level PM2.5 estimates are calculated using satellite-based estimates, chemical transport model simulations, and ground measurements. Country estimates are aggregated to income level groups by the World Bank.

Sources: Michael Brauer et al., “Ambient Air Pollution Exposure Estimation for the Global Burden of Disease 2013,” Environmental Science & Technology 50, no. 1 (2016): 79-88; World Bank; and World Health Organization, WHO Air Quality Guidelines for Particulate Matter, Ozone, Nitrogen Dioxide, and Sulfur Dioxide: Global Update 2005, Summary of Risk Assessment.

© 2016 Population Reference Bureau

2016 WORLD POPULATION DATA SHEET

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WO R L D P O P U L AT I O N H I G H L I G H T S F O C U S O N H U M A N N E E D S A N D S U S TA I N A B L E R E S O U R C E S

Municipal Waste Volumes per Capita Rise With Income Proper municipal waste disposal is a public health and environmental priority as urban populations grow. City residents without regular refuse collection services risk exposure to contaminants that spread into soil, streets, and water. Uncontrolled dumpsites taint water tables and release airborne toxins as unsorted refuse is burned. Global municipal waste data show that per capita volumes tend to rise with average income levels but negative impacts lessen as wealthier cities improve waste processing systems. While some cities in lower-income countries have expanded collection coverage, many still lag in proper waste processing—or controlled disposal. Collection in Lahore, Pakistan covers 77 percent of the population but only 18 percent of collections go to a controlled disposal facility. Lusaka, Zambia has 63 percent coverage and a 45 percent rate of controlled disposal. Recycling rates reach relatively high levels in some lower-income countries, often due to informal recycling networks.

ROTTERDAM, NETHERLANDS 100 • 100 • 23

551 370

SOFIA, BULGARIA 100 • 100 • 11 BISHKEK, KYRGYZSTAN

200 83 • 0 • 18

584

608 ATHENS, GREECE 100 • 100 • 24

SAN FRANCISCO, UNITED STATES 100 • 100 • 48

BAHRAIN, BAHRAIN 100 • 100 • 8

400

429

PAKISTAN 219 LAHORE, 77 • 18 • 35

193 DHAKA, BANGLADESH 55 • 55 • 15

BANGALORE, INDIA 75 • 73 • 32 200

GUADALAJARA, MEXICO 95 • 97 • 8

257

QUEZON CITY, PHILIPPINES 99 • 98 • 39

MONROVIA, LIBERIA

225 37 • 70 • 8

183 KAMPALA, UGANDA 50 • 100 • 11

LUSAKA, ZAMBIA 63 • 45 • 14

SINGAPORE, SINGAPORE 100 • 100 • 20

318 253

JAKARTA, INDONESIA 95 • 84 • 10

201

LEGEND 370 Sources: David C. Wilson, et al., “‘Wasteaware’ Benchmark Indicators for Integrated Sustainable Waste Management in Cities,” Waste Management 35, no. 1 (2015): 329-43; United Nations Environment Programme and International Solid Waste Association, Global Waste Management Outlook, David C. Wilson, ed.

© 2016 Population Reference Bureau

430 BUENOS AIRES, ARGENTINA 96 • 97 • 8

The volume of Annual Municipal Solid Waste (kg per capita) is indicated by both the size of the circle and the value in each circle.

SOFIA, BULGARIA 100 • 100 • 11

World Bank income category of the country where the city is located.

LOW

Recycling Rate (% of total waste generated) Controlled Disposal (% of collected waste properly managed) Waste Collection Coverage (% of city population)

LOWERMIDDLE

UPPERMIDDLE

HIGH

417 ADELAIDE, AUSTRALIA 100 • 100 • 54

2016 WORLD POPULATION DATA SHEET

6

the value in each circle.

al Land Protected rial land under protected national Union for re defines a protected fined geographical space, d, and managed, through e means, to achieve vation of nature with m services and cultural ea includes total land rs. Data are calculated base on Protected by mdgs.un.org.

430

SOFIA, BULGARIA 100 • 100 • 11

WO R L D P O P U L AT I O N H I G H L I G H T S

Recycling Rate (% of total waste Controlled Disposal (% of collected Waste Collection Coverage (% of city p

BUENOS AIRES, ARGENTINA 96 • 97 • 8

F O C U S O N H U M A N N E E D S A N D S U S TA I N A B L E R E S O U R C E S

are Kilometer

More People Have Improved Access to Water and Sanitation

Aquacult

opulation divided ters of arable land. d by the UN Food and ion (FAO) to include orary agricultural crops eas are counted only adows for mowing or market and kitchen mporarily fallow (less a for the percent and the square ry are from the FAO.

Access to safe drinking water and basic sanitation is fundamental to sustainable development and human health. Progress on water in the past 25 years has brought access to piped water close to home (the definition of improved access) to 91 percent of the world’s population, up from 76 percent in 1990. Of those remaining without improved access, nearly half are in sub-Saharan Africa. Sanitation status has been more varied, yet progress is clear. Whereas some countries, like Chile, already had good access that is now almost universal, other countries have made more progress on sanitation than water, such as Angola. Still, more than 2.4 billion people, mostly in eastern and southern Asia and sub-Saharan Africa, do not have access to improved sanitation facilities.

And urban-rural gaps are sharp: Eighty-two percent of urban dwellers, but only 51 percent of rural residents, use improved sanitation facilities. Most developed countries have nearly universal access to water and sanitation.

Seafood is an imp changes in ocean Fund estimates th enforce sustainabl of 19 kilograms pe of fish consumed

Trend in Annual

Percent of Population With Improved Access to Sanitation and Water, 1990 and 2014, Select Countries

Fish Supply by Sou

d Population Data in English and b.org. Also online:

igital Data Sheet ive data map and

about countries’ ion growth

lications le for bulk orders):

prb.org. @prb.org.

00-877-9881.

3937. necticut Ave., NW, hington, DC 20009.

PRB demographers nd Kristin Bietsch.

100%

90

Chile

99 99

85

80%

63

Vietnam

98

36

78 60%

71

India

17

94

40 40%

75

Kyrgyzstan

Ethiopia

Angola

nce Bureau.

13 28

0% 1970 1972

46 49 22 Water 1990

d.

20%

57

3

90 91 93

52 Water 2014

Sanitation 1990

Sanitation 2014

Sources: Food and Ag

aiwan Nans0410/

Source: UNICEF and World Health Organization, 25 Years: Progress on Sanitation and Drinking Water, 2015 Update and MDG Assessment.

© 2016 Population Reference Bureau

2016 WORLD POPULATION DATA SHEET

7

370

capita) is indicated by both the size of the circle and the value in each circle.

country where the city is located.

417

WO R L D P O P U L AT I O N H I G H L I G H T S

SOFIA, BULGARIA 100 • 100 • 11

LOW

Recycling Rate (% of total waste generated) F Owaste C U Sproperly O N managed) HUMAN Controlled Disposal (% of collected Waste Collection Coverage (% of city population)

UPPERMIDDLE

LOWERMIDDLE

HIGH

ADELAIDE, AUSTRALIA 100 • 100 • 54

N E E D S A N D S U S TA I N A B L E R E S O U R C E S

tion

Aquaculture Meets Fish Demand as Ocean Catches Decline

n t of ran ccess han cilities.

Seafood is an important protein source for about 3 billion people worldwide. Population growth, new ocean fishing technologies, and changes in ocean ecosystems have placed strains on wild fish stocks. Total ocean catches peaked in the late 1990s and the World Wildlife Fund estimates that the oceans contain half the number of fish they did in 1970. Declining catches also reflect national and global efforts to enforce sustainable catch limits. Strong growth in aquaculture has allowed per capita fish consumption to rise steadily, to a global average of 19 kilograms per person in 2012 from about 10 kilograms in the 1960s. In 2012, aquaculture was the source for about half (49 percent) of fish consumed by humans, up from 5 percent in 1962.

Trend in Annual World Fish Supply by Source and Fish Consumption per Capita, 1970-2012 Fish Supply by Source

Fish Consumption (kg per capita)

100%

AQUACULTURE

99 99

20

80%

16

60%

12

98

94 40%

CATCH

8

93 4

20%

0 0% 1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 World Fish Consumption Over Time (kg per capita per year)

Sources: Food and Agriculture Organization, Fisheries and Aquaculture Department.

© 2016 Population Reference Bureau

2016 WORLD POPULATION DATA SHEET

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WO R L D P O P U L AT I O N H I G H L I G H T S F O C U S O N H U M A N N E E D S A N D S U S TA I N A B L E R E S O U R C E S

2.8

MILLION Metric tons of carbon emitted

by China in 2013, almost four times the level of 1992.

3.5

The total fertility rate (lifetime births per woman) in Egypt.

Š 2016 Population Reference Bureau

50%

Percentage of the population in Niger that is less than 15 years old.

728

$1,760 Gross national income per capita of Haiti.

38

MILLION

Infant deaths per 1,000 live births in Bangladesh.

Projected 2050 population of Europe, down from 740 million in 2016.

54%

Percentage of the world’s population living in urban areas.

34%

Percentage of people in the least-developed countries with access to electricity, compared to 85 percent globally.

2016 WORLD POPULATION DATA SHEET

9

POPULATION, HEALTH, AND ENVIRONMENT DATA AND ESTIMATES FOR THE COUNTRIES AND REGIONS OF THE WORLD

WORLD MORE DEVELOPED LESS DEVELOPED LESS DEVELOPED (Excl. China) LEAST DEVELOPED AFRICA SUB-SAHARAN AFRICA NORTHERN AFRICA Algeria Egypt Libya Morocco Sudan Tunisia Western Saharae WESTERN AFRICA Benin Burkina Faso Cape Verde Côte d’Ivoire Gambia Ghana Guinea Guinea-Bissau Liberia Mali Mauritania Niger Nigeria Senegal Sierra Leone Togo EASTERN AFRICA Burundi Comoros Djibouti Eritrea Ethiopia Kenya Madagascar Malawi Mauritius Mayotte Mozambique Reunion Rwanda Seychelles Somalia South Sudan © 2016 Population Reference Bureau Tanzania Uganda

Population mid-2016 (millions) 7,418 1,254 6,164 4,778 962 1,203 974 229 40.8 93.5 6.3 34.7 42.1 11.3 0.6 359 10.8 19.0 0.5 23.9 2.1 28.2 11.2 1.9 4.6 17.3 4.2 19.7 186.5 14.8 6.6 7.5 394 11.1 0.8 0.9 5.4 101.7 45.4 23.7 17.2 1.3 0.2 27.2 0.8 11.9 0.09 11.1 12.7 54.2 36.6

Births per 1,000 Population 20 11 22 24 33 36 37 29 26 31 20 20 37 20 18 39 36 41 21 37 41 33 37 37 35 44 31 49 39 38 37 36 36 42 33 25 34 30 31 33 34 10 33 45 17 34 17 44 37 37 43

Deaths per 1,000 Population 8 10 7 7 9 10 11 6 5 6 5 6 8 7 6 11 9 10 5 13 9 8 10 12 9 13 8 9 13 6 14 9 9 10 7 9 7 7 7 7 10 8 3 14 5 7 7 12 12 7 10

Net Migration Rate per 1,000 — 3 -0 -0 -1 -1 -0 -1 0 -1 -10 -2 -3 -1 8 -1 -0 -1 -4 0 -1 -1 -0 -1 -1 -3 -1 -0 -0 -1 -1 -0 -1 0 -3 -3 -5 -0 -0 0 -0 -1 -0 0 -7 -1 1 -6 10 -1 -4

Population Infant mid-2030 mid-2050 Mortality (millions) (millions) Ratea 8,539 9,869 36 1,298 1,322 5 7,241 8,548 39 5,821 7,195 43 1,318 1,923 59 1,681 2,527 57 1,388 2,128 62 293 400 29 50.6 63.2 21 121.6 168.8 22 7.4 8.4 23 38.1 38.8 24 61.7 105.0 51 13.1 14.9 17 0.7 0.9 35 515 800 64 16.6 24.0 66 28.2 47.0 65 0.6 0.7 19 33.0 50.1 69 3.2 5.1 45 37.1 50.4 41 18.3 27.5 67 2.5 3.6 88 6.4 9.4 54 26.1 43.6 56 5.7 8.0 72 34.3 68.9 56 261.9 397.5 69 21.6 34.4 39 8.9 12.6 89 10.9 17.4 47 561 844 51 17.2 30.4 63 1.0 1.4 36 1.1 1.2 53 7.3 10.4 43 132.9 168.6 47 63.7 88.2 39 32.9 47.1 36 23.4 32.2 42 1.2 1.1 13.6 0.3 0.5 4 41.9 74.4 81 1.0 1.1 7 16.4 23.6 32 0.1 0.1 13.4 16.5 27.0 76 17.8 25.9 74 See notes on page 20 43 81.5 134.8 58.1 101.5 53

Total Fertility Rateb 2.5 1.7 2.6 2.9 4.3 4.7 5.0 3.4 3.1 3.5 2.4 2.4 5.2 2.4 2.1 5.4 4.7 5.7 2.3 4.9 5.6 4.2 5.1 4.9 4.7 6.0 4.2 7.6 5.5 5.0 4.9 4.7 4.8 6.1 4.3 3.2 4.2 4.2 3.9 4.3 4.4 1.4 4.0 5.9 2.5 4.2 2.4 6.4 6.7 5.2 5.8

Percent of Population Ages Ages <15 65+ 26 8 16 18 28 7 31 5 41 4 41 4 43 3 32 5 29 6 31 4 30 5 25 6 43 3 24 8 26 3 44 3 45 3 49 3 28 6 42 3 46 2 39 5 43 3 43 3 42 3 47 3 40 3 50 3 43 3 44 4 42 3 42 3 43 3 46 2 40 3 33 4 43 3 41 3 42 3 41 3 40 4 20 9 44 3 45 3 24 10 41 3 22 8 47 3 42 3 45 3 48 3

GNI per Capita ($US) 2015 15,415 39,963 10,214 8,936 2,424 4,802 3,606 9,798 14,280 10,690 15,140 7,680 4,080 11,060 — 4,135 2,100 1,640 6,390 3,240 1,580 4,070 1,120 1,450 720 2,360 3,710 950 5,800 2,390 1,560 1,320 2,019 730 1,430 — — 1,620 3,060 1,400 1,140 19,290 — 1,170 — 1,720 25,760 — 1,630 2,620 1,780

Percent of Married Women 15-49 Using Life Expectancy Contraceptionc at Birth (years) Percent All Modern Urban Methods Methods Males Females 54 62 56 70 74 78 70 62 76 82 49 61 55 68 72 47 54 46 67 70 32 36 32 61 64 41 35 30 59 62 39 31 26 57 59 51 52 46 69 73 71 57 48 73 78 43 58 57 70 73 79 42 20 69 75 60 67 57 73 75 34 12 12 61 64 68 62 50 73 77 81 — — 67 71 45 18 13 55 56 44 18 12 58 61 30 21 20 57 60 66 61 57 71 80 54 18 12 51 53 60 9 8 59 62 54 35 29 60 63 37 6 5 58 59 49 16 14 54 57 50 20 19 60 62 40 16 15 54 54 60 11 10 62 65 22 14 12 61 62 48 15 10 53 53 45 23 21 65 68 40 17 16 50 52 38 20 17 59 61 26 40 37 60 64 12 32 30 58 61 28 19 14 62 65 77 19 18 60 64 23 8 7 62 66 20 37 36 62 66 26 66 63 60 65 35 40 33 64 67 16 59 58 62 64 41 76 39 71 78 47 — — 75 78 32 12 11 52 56 95 67 64 77 84 29 53 48 62 66 54 — — 70 79 40 15 1 54 57 19 4 1 55 57 2016 WORLD DATA 30 38 POPULATION 32 64SHEET 10 66 20 34 30 62 64

Ma Dea 100,0

2

1,

Ethiopia Kenya Madagascar Malawi Mauritius Mayotte Mozambique Reunion Rwanda Seychelles WORLD Somalia MORE DEVELOPED South Sudan LESS DEVELOPED Tanzania LESS DEVELOPED (Excl. China) Uganda LEAST ZambiaDEVELOPED AFRICA Zimbabwe MIDDLE AFRICAAFRICA SUB-SAHARAN NORTHERN AFRICA Angola Cameroon Algeria Central Egypt African Republic Chad Libya Congo Morocco Sudan Congo, Dem. Rep. Tunisia Equatorial Guinea Western Saharae Gabon WESTERN Sao Tome AFRICA and Principe Benin SOUTHERN AFRICA Burkina Faso Botswana Cape Verde Lesotho Côte d’Ivoire Namibia Gambia South Africa Ghana Swaziland Guinea AMERICAS Guinea-Bissau NORTHERN AMERICA Liberia Canada Mali States United Mauritania LATIN AMERICA AND THE CARIBBEAN Niger CENTRAL AMERICA Nigeria Belize Senegal Costa Rica Sierra Leone El Salvador Togo Guatemala EASTERN Honduras AFRICA Burundi Mexico Comoros Nicaragua Djibouti Panama Eritrea CARIBBEAN Ethiopia Antigua and Barbuda Kenya Bahamas Madagascar Barbados Malawi Cuba Mauritius Curaçao Mayotte Dominica Mozambique Dominican Republic Reunion Grenada Rwanda Guadeloupe Seychelles Haiti Somalia Jamaica South Sudan Martinique Tanzania Puerto Rico © 2016 Population Reference Bureau Uganda St. Kitts-Nevis Zambia Saint Lucia

101.7 30 7 -0 132.9 168.6 47 4.2 41 3 1,620 20 37 36 62 66 45.4 31 7 -0 63.7 88.2 39 3.9 42 3 3,060 26 66 63 60 65 23.7 33 7 0 32.9 47.1 36 4.3 41 3 1,400 35 40 33 64 67 17.2 34 HEALTH, 10AND ENVIRONMENT -0 23.4DATA AND 32.2 ESTIMATES 42 4.4 THE40COUNTRIES 4 1,140 REGIONS 16 OF THE 59 WORLD 58 62 64 POPULATION, FOR AND 1.3 10 8 -1 1.2 1.1 13.6 1.4 20 9 19,290 41 76 39 71 78 0.2 33 3 -0 0.3 0.5 4 4.0 44 3 — 47 — — 75 78 GNI Percent of Married 27.2 45 14 0 41.9 74.4 81 5.9 45Percent 3 32 12 15-49 Using 11 52 56 per1,170 Capita Women Life Expectancy Net 0.8 17 5 -7 1.0 7 2.5 10 — 95 67 64c 77 84 of24Population ($US) Contraception at Birth (years) Population 1.1 Population Births Deaths Migration Infant Total 11.9 7 -1per 16.4 23.6 Mortality 32 4.2 41 3 1,720 29 53 48 62 66 mid-2030 mid-2050 Ages Ages Percent All Modern mid-2016 per34 1,000 per 1,000 Rate Fertility a (millions) (millions) <15 65+ 2015 Urban Methods Methods Males Females (millions) Population 1,000 Rate Rate 0.09 Population 17 7 1 0.1 0.1 13.4 2.4b 22 8 25,760 54 — — 70 79 7,418 20 8 — 8,539 9,869 36 2.5 26 8 15,415 54 62 56 70 74 11.1 44 12 -6 16.5 27.0 76 6.4 47 3 — 40 15 1 54 57 1,254 11 10 3 1,298 1,322 5 1.7 16 18 39,963 78 70 62 76 82 12.7 37 12 10 17.8 25.9 74 6.7 42 3 1,630 19 4 1 55 57 6,164 22 7 -0 7,241 8,548 39 2.6 28 7 10,214 49 61 55 68 72 54.2 37 -1 81.5 134.8 43 5.2 45 3 2,620 30 38 32 64 66 4,778 24 7 -0 5,821 7,195 43 2.9 31 5 8,936 47 54 46 67 70 36.6 43 10 -4 58.1 101.5 53 5.8 48 3 1,780 20 34 30 62 64 962 33 9 -1 1,318 1,923 59 4.3 41 4 2,424 32 36 32 61 64 15.9 43 13 -0 24.1 41.0 52 5.3 46 3 3,700 40 49 45 51 56 1,203 36 10 -1 1,681 2,527 57 4.7 41 4 4,802 41 35 30 59 62 16.0 -3 22.2 33.2 50 4.0 42 3 1,700 33 66 66 56 59 157 44 14 -0 238 396 88 6.0 45 3 2,617 47 21 11 51 54 974 37 11 1,388 2,128 62 5.0 43 3,606 39 31 26 57 59 229 29 6 -1 293 400 29 3.4 32 5 9,798 51 52 46 69 73 25.8 45 14 1 39.4 65.5 93 6.0 48 2 6,450 62 18 12 51 54 24.4 38 10 -0 34.4 51.9 55 4.9 43 3 3,080 54 34 21 56 59 40.8 26 5 0 50.6 63.2 21 3.1 29 6 14,280 71 57 48 73 78 5.0 34 14 0 6.7 9.7 90 4.4 39 4 600 40 15 9 49 53 93.5 31 6 -1 121.6 168.8 22 3.5 31 10,690 43 58 57 70 73 14.5 47 14 1 22.7 38.5 87 6.4 48 2 2,110 22 6 5 51 53 6.3 20 5 -10 7.4 8.4 23 2.4 30 5 15,140 79 42 20 69 75 4.9 34.7 20 6 -2 38.1 38.8 24 2.4 25 6 7,680 60 67 57 73 75 37 10 -7 6.7 10.2 48 4.7 41 3 6,300 65 30 18 57 60 42.1 37 8 -3 61.7 105.0 51 5.2 43 4,080 34 12 12 61 64 79.8 46 16 -0 124.2 213.8 97 6.5 46 3 720 42 21 8 49 52 11.3 20 7 -1 13.1 14.9 17 2.4 24 8 11,060 68 62 50 73 77 0.9 35 11 5 1.3 2.0 67 4.9 39 3 16,450 40 13 10 56 59 0.6 18 6 8 0.7 0.9 35 2.1 26 3 — 81 — — 67 71 1.8 32 9 1 2.4 3.5 43 4.1 37 5 18,810 87 31 19 64 65 359 39 11 -1 515 800 64 5.4 44 3 4,135 45 18 13 55 56 0.2 33 7 -6 0.3 0.3 38 4.4 42 4 3,160 67 41 37 64 68 10.8 36 9 -0 16.6 24.0 66 4.7 45 3 2,100 44 18 12 58 61 64 23 10 3 74 88 36 2.5 31 5 12,404 62 60 59 60 63 19.0 41 10 -1 28.2 47.0 65 5.7 49 3 1,640 30 21 20 57 60 2.2 25 8 2 2.7 3.3 31 2.8 33 5 15,600 57 53 51 62 67 0.5 21 5 -4 0.6 0.7 19 2.3 28 6 6,390 66 61 57 71 80 2.2 29 15 -2 2.6 3.4 59 3.3 36 5 3,160 27 60 60 50 50 23.9 37 13 33.0 50.1 69 4.9 42 3 3,240 54 18 12 51 53 2.5 29 7 0 3.3 4.7 39 3.6 34 4 10,380 47 56 55 62 67 2.1 41 9 -1 3.2 5.1 45 5.6 46 2 1,580 60 9 8 59 62 55.7 22 10 3 63.4 75.2 34 2.4 30 5 12,830 65 60 60 60 64 28.2 33 8 37.1 50.4 41 4.2 39 5 4,070 54 35 29 60 63 1.3 29 14 -1 1.5 1.8 50 3.3 37 4 8,040 21 66 66 50 48 11.2 37 10 -0 18.3 27.5 67 5.1 43 3 1,120 37 6 5 58 59 998 15 7 1 1,117 1,221 14 2.0 23 10 30,077 80 73 68 74 80 1.9 37 12 -1 2.5 3.6 88 4.9 43 3 1,450 49 16 14 54 57 360 12 8 4 401 445 6 1.8 19 15 55,179 81 74 68 77 81 4.6 35 9 -1 6.4 9.4 54 4.7 42 3 720 50 20 19 60 62 36.2 11 8 6 41.0 46.9 4.4 1.6 16 16 43,970 82 72 79 84 74 17.3 44 13 -3 26.1 43.6 56 6.0 47 3 2,360 40 16 15 54 54 323.9 12 8 4 359.4 398.3 5.8 1.8 19 15 56,430 81 74 68 76 81 4.2 31 8 5.7 8.0 72 4.2 40 3 3,710 60 11 10 62 65 637 17 6 -1 716 775 17 2.1 26 8 14,512 80 73 67 72 79 19.7 49 9 -0 34.3 68.9 56 7.6 50 3 950 22 14 12 61 62 175 19 5 -1 205 232 16 2.3 29 6 14,896 74 72 65 74 79 186.5 39 13 -0 261.9 397.5 69 5.5 43 3 5,800 48 15 10 53 53 0.4 22 6 4 0.5 0.6 14 2.5 36 4 7,880 45 55 52 71 77 14.8 38 6 -1 21.6 34.4 39 5.0 44 4 2,390 45 23 21 65 68 4.9 15 4 1 5.6 6.1 8.0 1.8 23 7 14,880 77 76 75 77 82 6.6 37 14 -1 8.9 12.6 89 4.9 42 3 1,560 40 17 16 50 52 6.4 18 7 -7 6.7 6.7 17 2.0 27 8 8,220 67 72 68 68 78 7.5 36 9 -0 10.9 17.4 47 4.7 42 3 1,320 38 20 17 59 61 16.6 24 5 21.3 27.6 28 3.1 40 5 7,510 52 61 49 69 76 -1 394 36 9 -1 561 844 51 4.8 43 3 2,019 26 40 37 60 64 8.2 22 5 -2 10.2 12.6 26 2.5 32 5 4,740 55 73 64 71 76 11.1 42 10 0 17.2 30.4 63 6.1 46 2 730 12 32 30 58 61 128.6 19 5 148.1 163.8 13 2.2 28 6 17,150 79 72 66 74 79 -1 0.8 33 7 -3 1.0 1.4 36 4.3 40 3 1,430 28 19 14 62 65 6.3 20 5 -4 7.5 9.1 19 2.4 30 5 5,050 59 80 76 72 78 0.9 25 9 -3 1.1 1.2 53 3.2 33 4 — 77 19 18 60 64 4.0 19 5 2 4.8 5.7 14 2.4 27 8 20,710 67 63 60 75 81 5.4 34 7 -5 7.3 10.4 43 4.2 43 3 23 8 7 62 66 43 17 8 -4 47 49 28 2.3 26 9 — 70 62 58 71 76 101.7 30 7 -0 132.9 168.6 47 4.2 41 3 1,620 20 37 36 62 66 0.09 12 6 0.1 0.1 16 1.5 24 7 22,220 24 — — 74 80 45.4 31 7 -0 63.7 88.2 39 3.9 42 3 3,060 26 66 63 60 65 0.4 14 6 4 0.4 0.5 14 1.8 26 6 22,930 83 — — 72 78 23.7 33 7 0 32.9 47.1 36 4.3 41 3 1,400 35 40 33 64 67 0.3 12 9 2 0.3 0.3 12 1.7 19 14 15,930 32 59 55 73 78 17.2 34 10 -0 23.4 32.2 42 4.4 40 4 1,140 16 59 58 62 64 11.2 11 9 -2 11.1 10.2 4.2 1.7 16 14 — 77 74 72 78 82 1.3 10 8 -1 1.2 1.1 13.6 1.4 20 9 19,290 41 76 39 71 78 0.2 12 9 10 0.2 0.2 10.2 1.9 19 16 — 89 — — 75 81 0.2 33 3 -0 0.3 0.5 4 4.0 44 3 — 47 — — 75 78 0.07 14 9 -1 0.08 0.07 20 2.1 22 10 10,420 70 72 77 27.2 45 14 0 41.9 74.4 81 5.9 45 3 1,170 32 12 11 52 56 10.6 20 6 -3 12.1 13.2 31 2.4 30 7 13,570 79 70 68 71 77 0.8 5 -7 1.0 1.1 7 2.5 24 10 — 95 67 64 77 84 0.1 17 8 -2 0.1 0.1 15 2.1 26 7 12,520 36 — — 74 79 11.9 34 7 16.4 23.6 32 4.2 41 3 1,720 29 53 48 62 66 0.4 12 8 -1 0.4 0.4 8.8 2.2 22 15 — 98 — — 76 83 0.09 17 7 1 0.1 0.1 13.4 2.4 22 8 25,760 54 — — 70 79 11.1 26 8 -3 13.3 16.2 42 3.2 35 4 1,760 59 34 31 61 65 11.1 44 12 -6 16.5 27.0 76 6.4 47 3 — 40 15 1 54 57 2.7 14 6 -5 2.8 2.6 17 2.0 24 9 8,860 55 72 68 73 78 12.7 37 12 10 17.8 25.9 74 6.7 42 3 1,630 19 4 1 55 57 0.4 12 9 -3 0.4 0.3 7 2.1 18 18 — 89 — — 78 84 54.2 37 7 -1 81.5 134.8 43 5.2 45 3 2,620 30 38 32 64 66 3.4 10 9 -19 3.4 3.1 7.0 1.4 17 18 24,030 99 84 72 76 83 See notes on page 2016 WORLD DATA 36.6 43 10 -4 58.1 101.5 5.8 48 3 1,780 20 34 30 62 64 0.05 14 8 7 0.06 0.07 20 53 13 1.8 21 8 23,700 32 — POPULATION — 73SHEET 11 78 15.9 43 13 -0 24.1 41.0 52 5.3 46 3 3,700 40 49 45 51 56 0.2 12 6 2 0.2 0.2 18 1.5 22 9 10,820 18 56 52 75 82

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Barbados Cuba Curaçao Dominica Dominican Republic Grenada Guadeloupe Haiti Jamaica Martinique WORLD Puerto Rico MORE DEVELOPED St. Kitts-Nevis LESS SaintDEVELOPED Lucia LESS DEVELOPED China) St. Vincent and the(Excl.

Grenadines LEAST DEVELOPED Trinidad and Tobago AFRICA AMERICA SOUTH SUB-SAHARAN AFRICA Argentina NORTHERN AFRICA Bolivia Algeria Brazil Egypt Chile Libya Colombia Morocco Ecuador Sudan Guiana French Tunisia Guyana Western Saharae Paraguay WESTERN AFRICA Peru Benin Suriname Burkina Faso Uruguay Cape Verde Venezuela Côte d’Ivoire ASIA Gambia ASIA (Excl. China) Ghana WESTERN ASIA Guinea Armenia Guinea-Bissau Azerbaijan Liberia Bahrain Mali Cyprus Mauritania Georgia Niger Iraq Nigeria Israel Senegal Jordan Sierra Leone Kuwait Togo Lebanon EASTERN AFRICA Oman Burundi Palestinian Territory Comoros Qatar Djibouti Saudi Arabia Eritrea Syria Ethiopia Turkey Kenya United Arab Emirates Madagascar Yemen Malawi CENTRAL ASIA SOUTH Mauritius ASIA CENTRAL Mayotte Kazakhstan Mozambique Kyrgyzstan Reunion Tajikistan Rwanda Turkmenistan Seychelles Uzbekistan SomaliaASIA SOUTH South Sudan Afghanistan Tanzania Bangladesh © 2016 Population Reference Bureau Uganda Bhutan Zambia India

0.3 12 9 2 0.3 0.3 12 1.7 19 14 15,930 32 59 55 73 78 11.2 11 9 -2 11.1 10.2 4.2 1.7 16 14 — 77 74 72 78 82 0.2 12 9 10 0.2 0.2 10.2 1.9 19 16 — 89 — — 75 81 0.07 14 HEALTH, 9AND ENVIRONMENT -1 0.08 0.07ESTIMATES 20 2.1 THE22COUNTRIES 10 10,420 70 OF THE — WORLD — 72 77 POPULATION, DATA AND FOR AND REGIONS 10.6 20 6 -3 12.1 13.2 31 2.4 30 7 13,570 79 70 68 71 77 0.1 17 8 -2 0.1 0.1 15 2.1 26 7 12,520 36 — — 74 79 GNI Percent of Married 0.4 12 8 -1 0.4 0.4 8.8 2.2 22Percent15 98 — 15-49 Using — 76 83 per — Capita Women Life Expectancy Net 11.1 26 8 -3 13.3 42 3.2 4 1,760 59 34 31c 61 65 of35Population ($US) Contraception at Birth (years) Population 16.2 Population Births Deaths Migration Infant Total 2.7 6 -5per 2.8 2.6 Mortality 17 2.0 24 9 8,860 55 72 68 73 78 mid-2030 mid-2050 Ages Ages Percent All Modern mid-2016 per14 1,000 per 1,000 Rate Fertility (millions) (millions) <15 65+ 2015 Urban Methods Methods Males Females (millions) Population Population 1,000 Rate Rate 0.4 12 9 -3 0.4 0.3 7a 2.1b 18 18 — 89 — — 78 84 7,418 20 8 — 8,539 9,869 36 2.5 26 8 15,415 54 62 56 70 74 3.4 10 9 -19 3.4 3.1 7.0 1.4 17 18 24,030 99 84 72 76 83 1,254 11 10 3 1,298 5 1.7 16 18 39,963 78 70 62 76 82 0.05 14 8 7 0.06 1,322 0.07 13 1.8 21 8 23,700 32 — — 73 78 6,164 22 7 -0 7,241 8,548 39 2.6 28 7 10,214 49 61 55 68 72 0.2 12 6 2 0.2 0.2 18 1.5 22 9 10,820 18 56 52 75 82 4,778 24 7 -0 5,821 7,195 43 2.9 31 5 8,936 47 54 46 67 70 0.1 16 -8 0.1 0.1 20 2.0 25 7 11,000 51 — — 71 75 962 33 9 -1 1,318 1,923 59 4.3 41 4 2,424 32 36 32 61 64 1.4 14 8 1.4 1.3 13 1.7 21 9 29,630 8 42 38 71 78 1,203 36 10 -1 1,681 2,527 57 4.7 41 4 4,802 41 35 30 59 62 419 16 6 -0 465 494 17 2.1 25 8 14,628 83 75 69 72 79 974 37 11 -0 1,388 2,128 62 5.0 43 3 3,606 39 31 26 57 59 43.6 18 8 1 49.1 55.2 10.8 2.3 25 11 — 92 55 53 73 80 229 29 6 -1 293 400 29 3.4 32 5 9,798 51 52 46 69 73 11.0 24 -2 13.3 16.5 36 3.0 33 6,840 68 61 35 68 74 40.8 26 5 50.6 63.2 21 3.1 29 6 14,280 71 57 48 73 78 226.3 18 1.8 23 8 15,020 86 80 77 72 79 206.1 14 6 0 223.1 93.5 31 -1 121.6 168.8 22 3.5 31 4 10,690 43 58 57 70 73 18.2 14 6 2 20.3 21.7 7.4 1.8 20 11 21,740 83 64 — 77 82 6.3 20 5 -10 7.4 8.4 23 2.4 30 5 15,140 79 42 20 69 75 48.8 16 6 -1 53.3 55.0 15 2.3 27 7 13,520 76 79 73 72 79 34.7 20 6 -2 38.1 38.8 24 2.4 25 6 7,680 60 67 57 75 16.5 21 5 -0 19.7 23.2 20 2.5 29 7 11,190 64 73 60 73 79 42.1 37 8 -3 61.7 105.0 51 5.2 43 3 4,080 34 12 12 61 64 0.3 26 3 -2 0.4 0.6 9 3.5 34 5 — 84 — — 77 83 11.3 20 7 -1 13.1 14.9 17 2.4 24 8 11,060 68 62 50 73 77 0.8 8 -7 0.8 0.8 32 2.6 29 5 7,520 29 34 33 64 69 0.6 18 8 0.7 0.9 35 2.1 26 3 — 81 — — 67 71 7.0 22 6 -3 8.2 9.3 28 2.6 32 5 8,670 60 79 70 71 75 359 39 11 -1 515 800 64 5.4 44 3 4,135 45 18 13 55 56 31.5 20 6 35.9 40.1 17 2.5 28 7 11,960 79 75 52 72 77 10.8 36 9 -0 16.6 24.0 66 4.7 45 3 2,100 44 18 12 58 61 0.5 18 7 -2 0.6 0.7 17 2.3 27 7 16,870 66 48 47 68 74 19.0 41 28.2 47.0 65 5.7 49 3 1,640 30 21 20 57 60 3.5 14 10 -1 3.6 3.7 9.3 1.9 21 14 20,360 95 77 75 74 81 0.5 21 -4 0.6 0.7 19 2.3 6,390 66 61 57 71 80 31.0 20 5 -2 36.1 40.5 12.8 2.4 28 6 17,730 89 70 62 72 78 23.9 37 13 0 33.0 50.1 69 4.9 42 3 3,240 54 18 12 51 53 4,437 18 7 -0 4,946 5,327 31 2.1 25 8 11,969 48 65 59 71 74 2.1 41 9 -1 3.2 5.1 45 5.6 46 2 1,580 60 9 8 59 62 3,051 21 7 0 3,527 3,974 37 2.4 28 7 10,800 44 56 48 69 72 28.2 33 8 -1 37.1 50.4 41 4.2 39 4,070 54 35 29 60 63 261 22 5 3 320 386 22 2.8 29 5 25,602 70 54 38 71 76 11.2 37 10 -0 18.3 27.5 67 5.1 43 3 1,120 37 6 5 58 59 3.0 14 9 -1 2.8 2.4 9 1.6 19 11 8,720 64 55 27 72 78 1.9 37 12 -1 2.5 3.6 88 4.9 43 3 1,450 49 16 54 57 77 9.8 17 6 0 10.6 10.8 10 2.1 22 6 17,140 53 51 14 72 4.6 35 9 -1 6.4 9.4 54 4.7 42 3 720 50 20 19 60 62 1.4 16 2 3 1.7 1.9 8 2.1 17 2 39,140 100 62 31 76 78 17.3 44 13 -3 26.1 43.6 56 6.0 47 3 2,360 40 16 15 54 54 1.2 12 6 -12 1.3 1.4 5 1.4 17 12 30,840 67 — — 78 82 4.2 31 8 -1 5.7 8.0 72 4.2 40 3 3,710 60 11 10 62 65 4.0 13 11 3.7 3.1 9 1.7 17 14 9,410 54 53 35 71 79 19.7 49 9 -0 34.3 68.9 56 7.6 50 950 22 14 12 61 62 38.1 32 4 2 53.4 76.5 37 4.2 40 3 14,850 70 52 34 67 72 186.5 39 13 -0 261.9 397.5 69 5.5 43 3 5,800 48 15 10 53 53 8.2 21 5 1 10.3 13.8 3.1 3.1 28 11 34,940 92 — — 80 84 14.8 38 6 -1 21.6 34.4 39 5.0 44 4 2,390 45 23 21 65 68 8.2 27 4 -13 9.0 11.4 16 3.5 37 3 10,740 84 61 42 73 76 6.6 37 14 -1 8.9 12.6 89 4.9 42 3 1,560 40 17 16 50 52 4.0 17 2 22 5.0 6.0 7 2.2 22 2 79,970 98 52 39 74 76 7.5 36 9 -0 10.9 17.4 47 4.7 42 3 1,320 38 20 17 59 61 6.2 15 5 -1 5.5 5.6 8 1.7 25 7 14,120 88 58 34 76 78 394 36 9 -1 561 844 51 4.8 43 3 2,019 26 40 37 60 64 4.4 21 2 39 5.1 6.0 8 2.9 21 37,340 75 30 19 75 78 11.1 42 10 0 17.2 30.4 63 6.1 46 2 730 12 32 30 58 61 4.8 32 4 -2 6.5 8.8 18 4.1 40 3 5,070 75 57 44 71 75 0.8 33 7 -3 1.0 1.4 36 4.3 40 3 1,430 28 19 14 62 65 2.5 12 1 75 3.0 3.5 7 2.0 15 1 140,720 99 38 34 77 80 0.9 25 9 -3 1.1 1.2 53 3.2 33 4 — 77 19 18 60 64 31.7 22 4 3 39.9 50.0 15 2.8 30 3 54,730 83 24 — 73 75 5.4 34 7 -5 7.3 10.4 43 4.2 43 3 — 23 8 7 62 66 17.2 22 4 -20 26.1 31.2 16 2.7 32 4 58 54 38 64 77 101.7 30 7 -0 132.9 168.6 47 4.2 41 3 1,620 20 37 36 62 66 79.5 17 5 7 88.4 93.5 11 2.1 24 8 19,360 73 74 47 75 79 45.4 31 7 -0 63.7 88.2 39 3.9 42 3 3,060 26 66 63 60 65 9.3 11 2 8 11.0 12.8 6 1.8 14 1 70,570 86 28 24 76 79 23.7 33 7 0 32.9 47.1 36 4.3 41 3 1,400 35 40 33 64 67 27.5 -1 36.3 43 4.2 40 3,660 34 29 63 17.2 34 10 23.4 32.2 42 4.4 40 4 1,140 16 59 58 62 64 1,929 23 7 -0 2,254 2,563 43 2.5 30 5 6,326 35 54 46 67 70 1.3 10 8 1.2 1.1 13.6 1.4 20 9 19,290 41 76 39 71 78 70 24 6 -1 82 96 32 2.7 29 5 10,898 40 54 50 68 75 0.2 33 3 -0 0.3 0.5 4 4.0 44 3 — 47 — — 75 78 17.8 23 8 -1 20.5 24.7 9 2.6 25 7 24,260 53 51 50 68 77 27.2 45 14 0 41.9 74.4 81 5.9 45 3 1,170 32 12 11 52 56 6.1 28 6 -1 8.2 11.6 20 3.8 33 4 3,300 36 42 40 67 74 0.8 17 5 -7 1.0 1.1 7 2.5 24 10 — 95 67 64 77 84 8.6 31 6 -3 11.1 14.2 38 3.6 35 3 3,320 26 28 26 66 73 11.9 34 7 16.4 23.6 32 4.2 41 3 1,720 29 53 48 66 5.4 21 8 -1 6.2 6.6 45 2.2 28 4 15,760 50 48 46 62 70 0.09 17 7 1 0.1 0.1 13.4 2.4 22 8 25,760 54 — — 70 79 31.9 23 5 -1 36.2 39.0 43 2.5 29 5 6,110 36 65 59 71 76 11.1 44 12 -6 16.5 27.0 76 6.4 47 3 — 40 15 1 54 57 1,859 23 7 -0 2,172 2,467 43 2.5 30 5 6,155 35 54 46 67 70 12.7 12 10 17.8 25.9 74 6.7 42 3 1,630 19 4 1 55 57 33.4 37 8 1 45.5 62.4 68 5.3 44 2 1,990 27 22 20 59 62 54.2 37 7 -1 81.5 134.8 43 5.2 45 3 2,620 30 38 32 64 66 162.9 20 5 -2 186.5 202.2 38 2.3 33 6 3,550 34 62 54 71 73 See page 2016 WORLD DATA 36.6 43 10 -4 58.1 101.5 53 5.8 48 3 1,780 20 34 POPULATION 30 62SHEET 12 64 0.8 19 6 2 0.9notes on 1.0 20 44 2.1 31 5 7,610 39 66 65 69 70 15.9 43 13 -0 24.1 41.0 52 5.3 46 3 3,700 40 49 45 51 56 1,328.9 22 7 0 1,530.0 1,708.0 40 2.3 29 6 6,020 33 54 47 67 70

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Yemen SOUTH CENTRAL ASIA CENTRAL ASIA Kazakhstan Kyrgyzstan Tajikistan Turkmenistan Uzbekistan SOUTH ASIA Afghanistan Bangladesh WORLD BhutanDEVELOPED MORE IndiaDEVELOPED LESS Iran DEVELOPED (Excl. China) LESS Maldives LEAST DEVELOPED Nepal AFRICA Pakistan SUB-SAHARAN AFRICA Sri Lanka NORTHERN AFRICA SOUTHEAST ASIA Algeria Brunei Egypt Cambodia Libya Indonesia Morocco Laos Sudan Malaysia Tunisia Myanmar Western Saharae PhilippinesAFRICA WESTERN Singapore Benin Thailand Burkina Faso Timor-Leste Cape Verde Vietnam Côte d’Ivoire EAST ASIA Gambia China Ghana China, Hong Kong SARf Guinea China, Macao SARf Guinea-Bissau Japan Liberia Korea, North Mali Korea, South Mauritania Mongolia Niger Taiwan Nigeria EUROPE Senegal EUROPEAN Sierra LeoneUNION NORTHERN EUROPE Togo Channel Islands EASTERN AFRICA Denmark Burundi Estonia Comoros Finland Djibouti Iceland Eritrea Ireland Ethiopia Latvia Kenya Lithuania Madagascar Norway Malawi Sweden Mauritius United Kingdom Mayotte WESTERN EUROPE Mozambique Austria Reunion Belgium Rwanda France Seychelles Germany Somalia Liechtenstein South Sudan Luxembourg Tanzania Monaco © 2016 Population Reference Bureau Uganda Netherlands Zambia Switzerland

27.5 33 7 -1 36.3 47.1 43 4.2 40 3 3,660 35 34 29 63 67 1,929 23 7 -0 2,254 2,563 43 2.5 30 5 6,326 35 54 46 67 70 70 24 6 -1 82 96 32 2.7 29 5 10,898 40 54 50 68 75 17.8 23 -1 20.5 24.7 9 2.6 7 24,260 53 51 50 68 77 POPULATION, HEALTH, 8AND ENVIRONMENT DATA AND ESTIMATES FOR THE25COUNTRIES AND REGIONS OF THE WORLD 6.1 28 6 -1 8.2 11.6 20 3.8 33 4 3,300 36 42 40 67 74 8.6 31 6 -3 11.1 14.2 38 3.6 35 3 3,320 26 28 26 66 73 GNI Percent of Married 5.4 21 8 -1 6.2 6.6 45 2.2 28 4 15,760 50 48 46 62 70 Percent per Capita Women 15-49 Using Life Expectancy Net 31.9 23 5 -1 36.2 43 2.5 5 6,110 36 65 59c 71 76 of29Population ($US) Contraception at Birth (years) Population 39.0 Population Births Deaths Migration Infant Total 1,859 7 -0per 2,172 2,467 43 2.5 30 5 6,155 35 54 46 67 70 mid-2030 mid-2050 Ages Ages Percent All Modern mid-2016 per23 1,000 per 1,000 Rate Mortality Fertility 33.4 37 8 1 45.5 62.4 68 a 5.3b 44 2 1,990 27 22 20 59 62 (millions) (millions) <15 65+ 2015 Urban Methods Methods Males Females (millions) Population Population 1,000 Rate Rate 162.9 5 -2 186.5 202.2 38 2.3 33 6 3,550 34 54 71 73 7,418 20 8 — 8,539 9,869 36 2.5 26 8 15,415 54 62 56 70 74 0.8 19 6 2 0.9 1.0 44 2.1 31 5 7,610 39 66 65 69 70 1,254 11 10 3 1,298 1,322 5 1.7 16 18 39,963 78 70 62 76 82 1,328.9 22 7 0 1,530.0 1,708.0 40 2.3 29 6 6,020 33 54 47 67 70 6,164 -0 7,241 8,548 39 2.6 28 7 10,214 49 61 55 68 72 79.5 19 5 -1 87.9 91.6 14 1.8 24 17,400 72 77 57 74 77 4,778 24 7 -0 5,821 7,195 43 2.9 31 5 8,936 47 54 46 67 70 0.4 18 3 1 0.5 0.6 8 2.5 27 5 11,310 46 35 27 76 78 962 33 9 -1 1,318 1,923 59 4.3 41 4 2,424 32 36 32 61 64 6 2,500 20 50 47 66 69 28.4 22 7 33.3 36.4 33 2.3 31 1,203 36 10 -1 1,681 2,527 57 4.7 41 4 4,802 41 35 30 59 62 203.4 30 7 -1 265.6 344.0 67 3.7 36 4 5,350 35 66 67 974 37 11 -0 1,388 2,128 62 5.0 43 3 3,606 39 31 26 57 59 21.2 16 -4 21.9 21.2 8 2.1 25 8 11,480 18 68 52 72 78 229 29 6 -1 293 400 29 3.4 32 5 9,798 51 52 46 69 73 633 19 7 -0 730 824 27 2.4 27 6 11,298 48 62 54 68 73 40.8 26 5 0 50.6 63.2 21 3.1 29 14,280 71 57 48 73 78 0.4 16 3 2 0.5 0.5 8 1.9 23 4 — 77 — — 77 81 93.5 31 6 -1 121.6 168.8 22 3.5 31 10,690 43 58 57 70 73 15.8 24 6 -2 19.0 22.5 26 2.6 32 4 3,290 21 56 39 61 66 6.3 20 5 -10 7.4 8.4 23 2.4 30 5 15,140 79 42 20 69 75 259.4 20 7 -1 305.7 359.8 30 2.5 28 5 10,680 54 61 60 69 73 34.7 6 -2 38.1 38.8 24 2.4 25 6 7,680 60 67 57 73 75 7.1 26 7 -3 8.7 10.4 55 3.0 35 4 5,380 39 50 42 65 68 42.1 37 8 61.7 105.0 51 5.2 43 3 4,080 34 12 12 61 64 30.8 17 5 2 36.1 40.7 6 2.0 25 6 26,140 75 49 32 72 77 11.3 20 7 -1 13.1 14.9 17 2.4 24 8 11,060 68 62 50 73 52.4 19 8 -1 58.1 61.3 61 2.3 28 5 — 34 46 46 64 68 0.6 18 6 8 0.7 0.9 35 2.1 26 3 81 — — 67 71 102.6 23 7 124.0 148.7 22 2.8 32 5 8,900 44 55 38 65 72 359 39 11 -1 515 800 64 5.4 44 3 4,135 45 18 13 55 56 5.6 8 4 8 6.3 6.6 1.7 1.2 15 12 81,190 100 62 55 80 85 10.8 36 9 -0 16.6 24.0 66 4.7 45 3 2,100 44 18 12 58 61 65.3 12 8 -1 66.8 63.3 10 1.6 18 11 15,210 50 79 77 72 79 19.0 41 10 28.2 47.0 65 5.7 49 3 1,640 30 21 20 57 60 1.3 37 7 -9 1.6 2.3 45 5.7 42 6 3,820 33 22 21 67 70 0.5 21 5 -4 0.6 0.7 19 2.3 28 6,390 66 61 57 71 80 92.7 16 7 1 103.2 108.2 15 2.1 24 7 5,690 34 76 57 71 76 23.9 37 13 0 33.0 50.1 69 4.9 42 3 3,240 54 18 12 51 53 1,614 12 7 -0 1,643 1,554 10 1.6 17 12 17,048 60 82 81 75 79 2.1 41 9 -1 3.2 5.1 45 5.6 46 2 1,580 9 8 59 62 1,378.0 12 7 -0 1,411.2 1,343.9 11 1.6 17 10 14,160 56 75 78 85 84 28.2 33 8 -1 37.1 50.4 41 4.2 39 5 4,070 54 35 29 60 63 7.4 8 6 6 8.0 8.2 1.4 1.2 11 16 57,650 100 75 72 81 87 11.2 37 10 -0 18.3 27.5 67 5.1 43 3 1,120 37 6 5 58 59 0.7 11 3 9 0.7 0.8 1.1 12 9 120,890 100 — — 80 86 2 1.9 37 12 -1 2.5 3.6 88 4.9 43 3 1,450 49 16 14 54 57 125.3 8 10 0 116.7 100.6 1.9 1.5 13 27 38,870 94 80 87 54 44 4.6 35 9 -1 6.4 9.4 54 4.7 42 3 720 50 20 19 60 62 25.1 15 9 -0 26.7 27.0 25 2.0 21 10 — 61 71 65 66 74 17.3 44 13 -3 26.1 43.6 56 6.0 47 3 2,360 40 16 15 54 54 50.8 9 5 0 52.2 48.1 3.0 1.2 14 14 34,700 82 79 86 80 70 4.2 31 8 -1 5.7 8.0 72 4.2 40 3 3,710 60 11 10 62 65 3.1 27 6 0 3.8 4.6 15 3.1 27 4 11,070 67 55 48 65 75 19.7 49 9 -0 34.3 68.9 56 7.6 50 3 950 22 14 12 61 62 23.5 9 7 0 23.3 20.5 4.0 1.2 14 13 — 77 — 77 83 71 186.5 39 13 -0 261.9 397.5 69 5.5 43 3 5,800 48 15 10 53 53 740 11 11 2 744 728 5 1.6 16 17 32,614 74 71 61 75 81 14.8 38 6 -1 21.6 34.4 39 5.0 44 4 2,390 45 23 21 65 68 506 10 10 3 518 515 4 1.6 16 19 37,646 75 72 65 78 83 6.6 37 14 -1 8.9 12.6 89 4.9 42 3 1,560 40 17 16 50 52 103 12 9 3 112 120 4 1.8 18 17 42,265 81 81 78 79 83 7.5 36 -0 10.9 17.4 47 4.7 42 3 1,320 38 20 17 59 61 0.2 10 8 4 0.2 0.2 2.9 1.6 15 16 — 32 — — 80 85 394 36 9 -1 561 844 51 4.8 43 3 2,019 26 40 37 60 64 5.7 10 9 9 6.2 6.3 3.5 1.7 17 19 47,810 88 — — 79 82 11.1 42 10 0 17.2 30.4 63 6.1 46 2 730 12 32 30 58 61 1.3 11 12 2 1.3 1.2 2.4 1.6 16 19 27,510 69 63 58 72 82 0.8 33 7 -3 1.0 1.4 36 4.3 40 3 1,430 28 19 14 62 65 5.5 10 10 2 5.8 5.9 1.7 1.6 16 20 40,840 84 77 75 78 85 0.9 25 9 -3 1.1 1.2 53 3.2 33 4 — 77 19 18 60 64 12 7 3 0.4 0.4 2.0 1.8 20 14 46,120 94 — — 81 84 0.3 5.4 34 -5 7.3 10.4 43 4.2 43 3 — 23 8 7 62 66 4.7 14 6 -3 5.1 5.7 3.1 1.9 22 13 46,410 63 65 61 79 83 101.7 30 7 -0 132.9 168.6 47 4.2 41 3 1,620 20 37 36 62 66 2.0 11 14 -4 1.6 1.5 4.2 1.6 15 19 24,220 68 68 56 69 80 45.4 31 7 -0 63.7 88.2 39 3.9 42 3 3,060 26 66 63 60 65 2.9 11 14 -8 2.7 2.4 4.1 1.6 15 19 26,660 67 63 50 69 80 23.7 33 7 0 32.9 47.1 36 4.3 41 3 1,400 35 40 33 64 67 5.2 11 8 6 5.9 6.6 2.4 1.7 18 16 64,590 81 88 82 80 84 17.2 34 10 -0 23.4 32.2 42 4.4 40 4 1,140 16 59 58 62 64 9.9 12 9 8 11.5 12.6 2.5 1.8 17 20 47,390 86 75 65 80 84 1.3 10 8 -1 1.2 1.1 13.6 1.4 20 9 19,290 41 76 39 71 78 65.6 12 9 3 71.0 77.0 3.9 1.8 18 17 40,550 83 84 84 79 83 0.2 33 3 -0 0.3 0.5 4 4.0 44 3 — 47 — — 75 78 193 10 10 8 201 205 3 1.7 16 19 46,052 79 71 68 79 84 27.2 45 14 0 41.9 74.4 81 5.9 45 3 1,170 32 12 11 52 56 8.8 10 10 13 9.2 9.7 3.0 1.5 14 18 47,510 66 70 68 79 84 0.8 17 5 -7 1.0 1.1 7 2.5 24 10 — 95 67 64 77 11.3 11 10 4 12.0 12.8 3.5 1.7 17 18 44,100 98 70 69 79 84 11.9 34 7 -1 16.4 23.6 32 4.2 41 3 1,720 29 53 48 62 66 64.6 12 9 1 68.5 72.3 3.5 1.9 18 18 40,470 80 76 74 79 85 0.09 17 7 0.1 0.1 13.4 2.4 22 8 25,760 54 — — 70 79 82.6 9 11 14 83.3 81.0 3.3 1.5 13 21 48,260 75 66 62 78 83 11.1 44 12 -6 16.5 27.0 76 6.4 47 3 — 40 15 1 54 57 0.04 10 7 4 0.04 0.04 3.3 1.6 15 16 — 14 — — 81 84 12.7 37 12 10 17.8 25.9 74 6.7 42 3 1,630 19 4 1 55 57 0.6 11 7 20 0.7 0.7 3.2 1.5 16 14 70,750 90 — — 80 85 54.2 37 -1 81.5 134.8 43 5.2 45 3 2,620 30 38 32 64 66 0.04 7 6 21 0.04 0.05 20 53 — 1.5 13 24 — 100 — POPULATION — —SHEET 13 — See notes on page 2016 WORLD DATA 36.6 43 10 -4 58.1 101.5 5.8 48 3 1,780 20 34 30 62 64 17.0 10 9 3 17.8 18.1 3.6 1.7 17 18 48,400 90 69 67 80 83 15.9 43 13 -0 24.1 41.0 52 5.3 46 3 3,700 40 49 45 51 56 8.4 10 8 9 9.5 10.3 3.9 1.5 15 18 61,930 84 82 78 81 85

Ma Dea 100,0

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Lithuania Norway Sweden United Kingdom WESTERN EUROPE Austria Belgium France Germany Liechtenstein WORLD Luxembourg MORE DEVELOPED Monaco LESS DEVELOPED Netherlands LESS DEVELOPED (Excl. China) Switzerland LEAST DEVELOPED EASTERN EUROPE AFRICA Belarus SUB-SAHARAN AFRICA Bulgaria NORTHERN AFRICA Czech Republic Algeria Hungary Egypt Moldova Libya Poland Morocco Romania Sudang Russia Tunisia Slovakia Westerng Saharae Ukraine WESTERN AFRICA SOUTHERN EUROPE Benin Albania Burkina Faso Andorra Cape Verde Bosnia-Herzegovina Côte d’Ivoire Croatia Gambia Greece Ghana Italy Guinea Kosovoh Guinea-Bissau Macedoniai Liberia Malta Mali Montenegro Mauritania Portugal Niger San Marino Nigeria Serbia Senegal Slovenia Sierra Leone Spain Togo OCEANIA EASTERN Australia AFRICA Burundi States of Micronesia Federated Comoros Fiji Djibouti French Polynesia Eritrea Guam Ethiopia Kiribati Kenya Marshall Islands Madagascar Nauru Malawi New Caledonia Mauritius New Zealand Mayotte Palau Mozambique Papua New Guinea Reunion Samoa Rwanda Islands Solomon Seychelles Tonga Somalia Tuvalu South Sudan Vanuatu Tanzania © 2016 Population Reference Bureau Uganda Zambia

2.9 11 14 5.2 11 8 9.9 12 9 65.6 12 HEALTH, 9AND POPULATION, 193 10 10 8.8 10 10 11.3 11 10 64.6 12 9 Population Births Deaths 82.6 9 mid-2016 per 1,000 per11 1,000 (millions) Population 0.04 Population 10 7 7,418 20 8 0.6 11 7 1,254 11 10 0.04 7 6 6,164 22 7 17.0 10 9 4,778 24 7 8.4 10 8 962 33 9 293 12 13 1,203 36 10 9.5 13 13 974 37 11 7.1 9 15 229 29 6 10.6 11 11 40.8 26 5 9.8 9 13 93.5 31 6 3.6 11 11 6.3 20 5 38.4 10 10 34.7 20 6 19.8 9 12 42.1 37 8 144.3 13 13 11.3 20 7 5.4 10 10 0.6 18 6 42.7 10 14 359 39 11 150 9 10 10.8 36 9 2.9 11 8 19.0 41 10 0.08 9 4 0.5 21 5 3.5 8 9 23.9 37 13 4.2 9 2.1 41 9 10.8 8 10 28.2 33 8 60.6 8 11 11.2 37 10 1.8 17 5 1.9 37 12 2.1 11 10 4.6 35 9 0.4 10 8 17.3 44 13 0.6 12 10 4.2 31 8 10.3 8 11 19.7 49 9 0.03 8 7 186.5 39 13 7.1 9 15 14.8 38 6 2.1 10 10 6.6 37 14 43.3 9 9 7.5 36 9 40 17 7 394 36 9 24.1 13 7 11.1 42 10 23 5 0.1 0.8 33 7 0.9 18 9 0.9 25 9 0.3 16 5 5.4 34 7 0.2 21 5 101.7 30 7 0.1 8 45.4 31 7 0.06 27 4 23.7 33 7 0.01 34 8 17.2 34 10 0.3 17 5 1.3 10 8 4.7 13 7 0.2 33 3 0.02 13 9 27.2 45 14 8.2 28 8 0.8 17 0.2 28 5 11.9 34 7 0.7 30 5 0.09 17 0.1 26 7 11.1 44 12 0.01 25 9 12.7 37 12 0.3 32 5 54.2 37 per 7 Population Births Deaths 36.6 43 mid-2016 1,000 per10 1,000 15.9 43 13 (millions) Population Population

-8 2.7 2.4 4.1 1.6 15 19 26,660 67 63 50 69 80 6 5.9 6.6 2.4 1.7 18 16 64,590 81 88 82 80 84 8 11.5 12.6 2.5 1.8 17 20 47,390 86 75 65 80 84 3 71.0DATA AND 77.0 ESTIMATES 3.9 1.8 THE18COUNTRIES 17 40,550 83 OF THE 84 WORLD 84 79 83 ENVIRONMENT FOR AND REGIONS 8 201 205 3 1.7 16 19 46,052 79 71 68 79 84 13 9.2 9.7 3.0 1.5 14 18 47,510 66 70 68 79 84 GNI Percent of Married 4 12.0 12.8 3.5 1.7 17Percent18 44,100 98 70 15-49 Using 69 79 84 per Capita Women Life Expectancy Net 1 68.5 3.5 1.9 18 40,470 80 76 74c 79 85 of18Population ($US) Contraception at Birth (years) Population 72.3 Migration Infant Total 14per 83.3 81.0 Mortality 3.3 1.5 13 21 48,260 75 66 62 78 83 mid-2030 mid-2050 Ages Ages Percent All Modern Rate Fertility a (millions) <15 65+ 2015 Urban Methods Methods Males Females 1,000 Rate Rate 4 0.04 (millions) 0.04 3.3 1.6b 15 16 — 14 — — 81 84 — 8,539 9,869 36 2.5 26 8 15,415 54 62 56 70 74 20 0.7 0.7 3.2 1.5 16 14 70,750 90 — — 80 85 3 1,298 1.7 16 18 39,963 78 70 62 76 82 21 0.04 1,322 0.05 —5 1.5 13 24 — 100 — — — — -0 7,241 8,548 39 2.6 28 7 10,214 49 61 55 68 72 90 69 67 80 83 3 17.8 18.1 3.6 1.7 17 18 48,400 -0 5,821 7,195 43 2.9 31 5 8,936 47 54 46 67 70 9 9.5 10.3 3.9 1.5 15 18 61,930 84 82 78 81 85 1,318 1,923 59 4.3 41 4 2,424 32 36 32 61 64 -1 281 261 6 1.6 16 15 21,212 69 69 57 68 78 -1 1,681 2,527 57 4.7 41 4 4,802 41 35 30 59 62 2 9.3 9.1 3.0 1.8 16 14 16,840 78 63 51 68 78 -0 1,388 2,128 62 5.0 43 3 3,606 39 31 26 57 59 -1 6.6 5.8 6.6 1.5 14 20 16,790 73 69 40 71 78 -1 293 400 29 3.4 32 5 9,798 51 52 46 69 73 2 10.8 11.1 2.5 1.6 15 18 30,420 73 86 78 76 82 0 50.6 63.2 21 3.1 29 6 14,280 57 48 73 78 -0 9.7 9.4 4.1 1.4 14 18 24,630 71 81 71 72 79 -1 121.6 168.8 22 3.5 31 4 10,690 43 58 57 70 73 1 3.4 2.8 10 1.3 16 10 5,350 42 60 42 68 76 -10 7.4 8.4 23 2.4 30 5 15,140 79 42 20 69 75 -0 37.3 33.9 4.0 1.3 15 16 25,400 60 — — 74 82 -2 38.1 38.8 24 2.4 25 6 7,680 60 67 57 73 75 -27 17.4 13.9 7.5 1.2 16 15 20,900 55 70 50 72 79 -3 61.7 105.0 51 5.2 43 3 4,080 34 12 12 61 64 2 142.6 136.4 6.5 1.8 17 14 23,790 74 68 55 66 77 -1 13.1 14.9 17 2.4 24 8 11,060 68 62 50 73 77 1 5.4 4.9 5.1 1.4 15 14 28,200 54 80 66 80 8 0.7 0.9 35 2.1 26 3 — 81 — — 67 71 0 39.1 33.6 8.1 1.5 15 16 7,810 70 68 61 66 76 -1 515 800 64 5.4 44 3 4,135 45 18 13 55 56 0 150 143 4 1.4 15 19 30,960 70 66 48 79 84 -0 16.6 24.0 66 4.7 45 3 2,100 44 18 12 58 61 -6 2.8 2.4 7.1 1.7 18 13 11,140 58 69 10 76 80 -1 28.2 47.0 65 5.7 49 3 1,640 30 21 20 57 60 8 0.08 0.07 3.4 1.2 15 14 — 85 — — — — -4 0.6 0.7 19 2.3 28 6 6,390 66 61 57 71 80 -0 3.3 2.8 6 1.3 15 14 10,610 40 46 12 74 79 0 33.0 50.1 69 4.9 42 3 3,240 54 18 12 51 53 -4 3.9 3.5 5.0 1.5 15 19 21,730 59 — — 74 81 -1 3.2 5.1 45 5.6 46 2 1,580 60 9 8 59 62 1 10.4 9.2 3.8 1.3 15 19 26,790 78 76 46 78 84 -1 37.1 50.4 41 4.2 39 5 4,070 54 35 29 60 63 2 63.5 63.5 3.2 1.4 14 22 35,850 69 63 41 80 85 -0 18.3 27.5 67 5.1 43 3 1,120 37 6 5 58 59 -31 1.8 1.8 12 2.3 24 8 9,840 38 66 14 74 79 -1 2.5 3.6 88 4.9 43 3 1,450 49 16 14 54 57 0 2.1 1.9 9 1.5 17 13 13,570 57 40 13 73 77 -1 6.4 9.4 54 4.7 42 3 720 50 20 19 60 62 7 0.4 0.4 5.7 1.4 14 18 27,390 95 86 46 80 84 -3 26.1 43.6 56 6.0 47 3 2,360 40 16 15 54 54 0.7 0.7 4.6 1.6 18 14 15,890 64 23 74 79 -1 5.7 8.0 72 4.2 40 3 3,710 60 11 10 62 65 9.9 9.1 3.0 1.3 14 20 28,590 64 87 82 77 83 -0 34.3 68.9 56 7.6 50 3 950 22 14 12 61 62 6 0.03 0.03 2.3 1.5 15 18 — 94 — — 84 89 -0 261.9 397.5 69 5.5 43 3 5,800 48 15 10 53 53 2 6.4 5.3 4.6 1.5 14 18 12,800 60 58 18 73 78 -1 21.6 34.4 39 5.0 44 4 2,390 45 23 21 65 68 0 2.0 1.9 2.1 1.6 15 18 30,830 50 79 63 78 84 8.9 12.6 89 4.9 42 3 1,560 40 17 16 50 52 -1 42.4 39.8 2.8 1.3 15 18 34,490 80 66 62 80 85 -0 10.9 17.4 47 4.7 42 3 1,320 38 20 17 59 61 7 51 66 20 2.3 24 12 32,456 70 62 58 75 80 -1 561 844 51 4.8 43 3 2,019 26 40 37 60 64 9 30.9 41.3 3.4 1.8 19 15 44,570 89 72 68 80 84 0 17.2 30.4 63 6.1 46 2 730 12 32 30 58 61 -14 0.1 0.1 29 3.4 34 4 3,600 22 — 70 68 72 -3 1.0 1.4 36 4.3 40 3 1,430 28 19 14 62 65 -6 0.9 1.0 14 3.1 29 6 8,700 51 29 — 67 73 -3 1.1 1.2 53 3.2 33 4 — 77 19 18 60 64 -0 0.3 0.3 6.0 2.0 24 7 56 — — 75 79 -5 7.3 10.4 43 4.2 43 3 — 23 8 7 62 66 -6 0.2 0.3 9.4 3.0 26 8 94 67 58 76 82 -0 132.9 168.6 47 4.2 41 3 1,620 20 37 36 62 66 -3 0.1 0.2 45 3.9 35 4 4,150 54 22 18 63 68 -0 63.7 88.2 39 3.9 42 3 3,060 26 66 63 60 65 -17 0.06 0.08 22 4.1 41 2 4,710 74 45 42 71 72 0 32.9 47.1 36 4.3 41 3 1,400 35 40 33 64 67 -8 0.01 0.01 18 3.9 37 13 — 100 36 23 63 70 -0 23.4 32.2 42 4.4 40 4 1,140 16 59 58 62 64 6 0.3 0.4 4 2.3 24 8 — 70 — — 74 80 -1 1.2 1.1 13.6 1.4 20 9 19,290 41 76 39 71 78 14 5.3 5.9 4.1 2.0 15 35,680 86 75 72 80 83 -0 0.3 0.5 4 4.0 44 3 — 47 — — 75 78 0 0.02 0.02 12 2.1 20 6 14,700 87 33 30 70 76 41.9 74.4 81 5.9 45 1,170 32 12 11 52 56 0 10.5 13.9 46 3.7 39 3 2,800 13 32 24 61 65 -7 1.0 1.1 7 2.5 24 10 — 95 67 64 77 84 -28 0.2 0.2 15 5.1 38 6 5,720 18 27 24 73 76 -1 16.4 23.6 32 4.2 41 3 1,720 29 53 48 62 66 0 0.9 1.2 22 4.0 39 2,180 20 35 27 66 73 1 13.4 2.4 22 8 25,760 54 — — 70 79 -19 0.1 0.1 17 4.1 37 6 5,290 24 34 28 74 78 -6 16.5 27.0 76 6.4 47 3 — 40 15 1 54 57 -3 0.01 0.01 10 3.6 33 5 5,430 60 30 22 67 72 10 17.8 25.9 74 6.7 42 3 1,630 19 4 1 55 57 0 0.4 0.6 28 4.2 40 4 3,040 26 49 36 72 75 -1 81.5 134.8 43 5.2 45 3 2,620 30 38 32 64 66 Total Ages Ages GNI per Percent All Modern Males Females Net mid-2030 mid-2050 Infant See notes on page 20 2016 WORLD DATA -4 58.1 101.5 53 5.8 48 3 1,780 20 34 POPULATION 30 62SHEET 14 64 Fertility <15 65+ Capita Urban Methods Methods Migration (millions) (millions) Mortality -0per 24.1 41.0 52 a 5.3b 46 3 3,700 40 49 45 51 56 Rate ($US) 2015 Rate Rate Life Expectancy Population Percent of Percent of Married 1,000

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ercent pulation Ages 65+ 8 18 7 5 4 4 3 5 6 4 5 6 3 8 3 3 3 3 6 3 2 5 3 3 3 3 3 3 3 4 3 3 3 2 3 4 3 3 3 3 4 9 3 3 10 3 8 3 3 3 3 3

POPULATION, HEALTH, AND ENVIRONMENT DATA AND ESTIMATES FOR THE COUNTRIES AND REGIONS OF THE WORLD GNI per Capita ($US)

Percent of Married Women 15-49 Using Contraceptionc Percent All Modern 2015 Urban Methods Methods WORLD 15,415 54 62 56 MORE DEVELOPED 39,963 78 70 62 LESS DEVELOPED 10,214 49 61 55 LESS (Excl.

8,936DEVELOPED 47 54 China) 46 LEAST 2,424 DEVELOPED 32 36 32 AFRICA 4,802 41 35 30 SUB-SAHARAN 3,606 39 AFRICA 31 26 NORTHERN AFRICA 52 9,798 51 46 Algeria 14,280 71 57 48 Egypt 10,690 43 58 57 Libya 15,140 79 42 20 Morocco 60 7,680 67 57 Sudan 4,080 34 12 12 11,060 Tunisia 68 62 50 Western Sahara — 81 e — — WESTERN AFRICA 4,135 45 18 13 Benin 2,100 44 18 12 Burkina Faso30 1,640 21 20 Cape Verde 66 6,390 61 57 Côte d’Ivoire54 3,240 18 12 Gambia 1,580 60 9 8 Ghana 4,070 54 35 29 1,120 Guinea 37 6 5 Guinea-Bissau 1,450 49 16 14 Liberia 720 50 20 19 Mali 2,360 40 16 15 Mauritania 60 3,710 11 10 Niger 950 22 14 12 Nigeria 5,800 48 15 10 2,390 Senegal 45 23 21 Sierra Leone40 1,560 17 16 Togo 1,320 38 20 17 EASTERN AFRICA 2,019 26 40 37 Burundi 730 12 32 30 Comoros 28 1,430 19 14 Djibouti — 77 19 18 Eritrea — 23 8 7 Ethiopia 1,620 20 37 36 3,060 Kenya 26 66 63 Madagascar35 1,400 40 33 Malawi 1,140 16 59 58 Mauritius 41 19,290 76 39 Mayotte — 47 — — Mozambique32 1,170 12 11 Reunion — 95 67 64 1,720 Rwanda 29 53 48 Seychelles 54 25,760 — — Somalia — 40 15 1 South Sudan19 1,630 4 1 Tanzania 2,620 30 38 32 © 2016 Population Uganda 1,780 20 Reference 34 Bureau 30 Zambia 3,700 40 49 45

Maternal Life Expectancy Deaths per at Birth (years) Births Population Births 100,000 Deaths mid-2016 per 1,000 per 1,000 (millions) Population Population Males Females 2015 7,418 20 8 70 74 216 1,254 11 10 76 82 12 6,164 22 7 68 72 239 4,778 24 7 67 70 267 962 33 9 61 64 437 1,203 36 10 59 62 490 57 974 59 37 557 11 229 29 6 69 73 126 26 5 7340.8 78 140 31 6 7093.5 73 33 20 59 69 6.3 75 20 6 7334.7 75 121 37 8 6142.1 64 311 7311.3 77 20 62 7 18 67 0.6 71 —6 359 39 11 55 56 674 36 9 5810.8 61 405 41 10 5719.0 60 371 21 5 71 0.5 80 42 37 13 5123.9 53 645 41 9 59 2.1 62 706 33 8 6028.2 63 319 5811.2 59 37 679 10 37 12 54 1.9 57 549 35 9 60 4.6 62 725 44 13 5417.3 54 587 31 8 62 4.2 65 602 49 9 6119.7 62 553 186.5 39 13 53 53 814 6514.8 68 38 315 6 37 14 50 6.6 52 1,360 36 9 59 7.5 61 368 394 36 9 60 64 434 42 10 5811.1 61 712 33 7 62 0.8 65 335 25 9 60 0.9 64 229 34 7 62 5.4 66 501 101.7 30 7 62 66 353 6045.4 65 31 510 7 33 7 6423.7 67 353 34 10 6217.2 64 634 10 8 71 1.3 78 53 33 75 0.2 78 —3 45 14 5227.2 56 489 17 77 0.8 84 —5 6211.9 66 34 290 7 17 70 0.09 79 —7 44 12 5411.1 57 732 37 12 5512.7 57 789 37 7 6454.2 66 398 43 10 6236.6 64 343 56 43 13 5115.9 224

Percent Carbon Emissions Net Ages 15-49 With HIV/AIDS Population (million metric tons) Migration Infant mid-2030 mid-2050 Mortality Rate per Females Males a (millions) (millions) 1,000 Rate 2015 2015 1992 2013 — 8,539 9,869 36 — — 6,110 9,776 1,298 1,322 5 —3 — 3,730 3,556 -0 7,241 8,548 39 — — 2,169 5,678 -0 5,821 7,195 43 — — 1,424 2,870 -1 1,318 1,923 59 1.6 2.2 20 76 -1 1,681 2,527 57 3.2 4.7 189 346 4.0 -0 1,388 6.0 2,128 124 62 209 -1 293 400 29 0.1 0.1 66 136 0 50.6 63.2 2136.6 <0.1 <0.1 22.1 -1 121.6 168.8 2258.1 <0.1 <0.1 22.2 -10 8.4 2313.9 — — 7.4 10.2 -2 38.1 38.8 2416.0 0.1 <0.1 7.1 -3 61.7 105.0 51 4.2 0.3 0.2 — <0.1 -1 <0.1 13.1 14.9 4.1 17 7.5 35 —8 — 0.7 — 0.9 — -1 515 800 64 1.9 2.7 23 41 -0 16.6 24.0 66 1.6 0.9 1.2 0.2 -1 28.2 47.0 65 0.8 0.6 1.0 0.2 -4 0.7 19 0.1 0.9 1.1 0.6 0.0 0 33.0 50.1 69 2.5 2.5 3.8 1.3 -1 5.1 45 0.1 1.4 2.2 3.2 0.1 -1 37.1 50.4 41 4.0 1.3 2.0 1.1 1.2 -0 2.0 18.3 27.5 0.3 67 0.6 -1 3.6 88 0.1 — — 2.5 0.0 -1 9.4 54 0.3 0.8 1.4 6.4 0.1 -3 26.1 43.6 56 0.3 1.0 1.5 0.1 -1 8.0 72 0.7 0.5 0.6 5.7 0.3 -0 34.3 68.9 56 0.5 0.4 0.5 0.2 -0 261.9 397.5 6926.1 2.5 3.7 17.5 0.4 -1 0.6 21.6 34.4 0.9 39 2.3 -1 12.6 89 0.3 1.0 1.6 8.9 0.1 -0 10.9 17.4 47 0.6 1.9 2.9 0.2 -1 561 844 51 — — 11 22 0 17.2 30.4 63 0.1 0.8 1.3 0.1 -3 1.4 36 0.0 — — 1.0 0.0 -3 1.2 53 0.2 1.3 1.8 1.1 0.1 -5 10.4 43 0.2 0.4 0.8 7.3 0.2 -0 132.9 168.6 47 2.9 — — 0.8 4.8 -0 7.0 63.7 88.2 1.5 39 3.6 0 32.9 47.1 36 0.8 0.4 0.3 0.3 -0 23.4 32.2 42 0.3 7.1 11.1 0.2 -1 1.1 13.6 1.3 0.5 1.2 0.5 1.0 -0 4 — — 0.3 — 0.5 — 0 41.9 74.4 81 1.1 8.7 12.3 0.3 -7 1.1 7 1.2 — — 1.0 0.4 2.3 -1 3.5 16.4 23.6 0.1 32 0.2 0.1 13.4 —1 — 0.1 0.0 0.2 -6 16.5 27.0 76 0.2 0.5 0.5 0.0 10 17.8 74 0.4 2.0 2.9 —25.9 -1 81.5 134.8 43 2.9 3.7 5.6 0.6 See notes on page 20 53 1.3 -4 58.1 101.5 5.9 8.3 0.2 -0 24.1 41.0 52 1.0 10.9 15.0 0.7

Percent of Percent of Total Percent of GNI Percent Population Energy Consumption Terrestrial Landof Married Percent per Capita Women 15-49 Using With Access to From Renewable Under Protected Population Life Expectancy c of Population ($US)d Contraception Sources Area Status Total Electricity per Square at Birth (years) Ages Percent All Modern Fertility Ages Kilometer <15 65+ 2015 Urban 2014 Methods Methods Males Females Rateb 2012 2013 of Arable Land 2.5 8526 8 15,415 54 56 526 70 74 18 1562 1.7 10016 18 39,963 78 62 238 76 82 — 1470 2.6 8128 7 10,214 49 55 697 68 72 — 1661 2.9 7531 5 8,936 47 46 614 67 70 — 1554 4.3 3441 4 2,424 32 32 550 61 64 — 1336 4.7 4541 4 4,802 41 30 514 59 62 — 1435 5.0 3543 3 3,606 — 39 1631 26 502 57 59 3.4 8832 5 9,798 51 46 571 69 73 — 652 3.1 10029 6 14,280 71 48 545 73 78 0 857 3.5 10031 4 10,690 43 573,415 70 73 5 1158 2.4 10030 5 15,140 79 20 368 69 75 2 042 2.4 10025 6 7,680 60 57 431 73 75 11 3467 5.2 3343 3 4,080 34 12 245 61 64 64 212 2.4 10024 8 11,060 13 68 562 50 396 73 77 2.1 3 — 81 — — 67 71 —26 — 0— 5.4 4744 3 4,135 45 13 421 55 56 — 1318 4.7 3845 3 2,100 44 12 400 58 61 51 2818 5.7 1349 3 1,640 30 20 306 57 60 80 1521 2.3 7128 6 6,390 66 57 961 71 80 21 361 4.9 5642 3 3,240 54 12 823 51 53 74 2318 5.6 3546 2 1,580 60 8 474 59 62 49 49 4.2 6439 5 4,070 54 29 601 60 63 49 1535 5.1 2643 3 1,120 76 37 29 6 5 361 58 59 4.9 6143 3 1,450 49 14 629 54 57 89 1616 4.7 1042 3 50 19 923 60 62 89720 320 6.0 2647 3 2,360 40 15 269 54 54 84 816 4.2 2240 3 3,710 60 10 926 62 65 33 111 7.6 3 22 12 124 61 62 1450 81950 1814 5.5 5643 3 5,800 48 10 549 53 53 86 1415 5.0 5644 4 2,390 51 45 2523 21 455 65 68 4.9 1442 3 1,560 40 16 415 50 52 80 1117 4.7 3142 3 1,320 38 17 283 59 61 73 2520 4.8 2243 3 2,019 26 37 575 60 64 — 1940 6.1 2 12 30 925 58 61 746 97730 732 4.3 6940 3 1,430 28 141,240 62 65 47 1019 3.2 5333 4 — 77 18 60 64 34 119 44,980 4.2 3643 3 — 23 7 776 62 66 80 58 4.2 2741 3 1,620 20 36 673 62 66 93 1837 3.9 2342 3 3,060 79 26 1266 63 783 60 65 4.3 1541 3 1,400 35 33 676 64 67 79 540 4.4 1040 4 1,140 16 58 453 62 64 79 1759 1.4 10020 9 19,290 41 391,685 71 78 3 576 4.0 3 — 47 —2,665 75 78 —44 — 0— 5.9 2045 3 1,170 32 11 481 52 56 88 1712 2.5 10 — 95 642,381 77 84 —24 — 7667 4.2 1841 3 1,720 87 29 953 481,006 62 66 2.4 10022 8 25,760 54 — 072 70 79 1 42— 117, 6.4 3347 3 — 40 11,007 54 57 94 115 6.7 3 1,630 19 1 — 55 57 542 — 21 4 5.2 1545 3 2,620 30 32 402 64 66 88 3238 2016 WORLD 5.8 1848 3 1,780 20 30 530 DATA62SHEET 15 64 90 1634 POPULATION 5.3 2246 3 3,700 40 45 431 51 56 88 3849

Ma Dea 100,0

2

1,

3 3 3 4 9 3 ercent 3 10 pulation 3 Ages 8 65+ 3 8 3 18 3 7 3 5 3 4 3 4 3 2 5 3 6 4 2 5 3 6 3 3 8 5 3 4 3 5 3 5 3 5 6 4 3 5 2 4 5 10 3 15 3 16 3 15 3 8 3 6 3 4 3 7 4 8 3 5 3 5 3 6 2 5 3 8 4 9 3 7 3 6 3 14 3 14 4 16 9 10 3 7 3 7 10 15 3 4 8 9 3 18 3 18 3 8 3 9 3

Ethiopia 1,620 20 37 36 Kenya 3,060 26 66 63 Madagascar35 1,400 40 33 Malawi 1,140 16 59 58 Mauritius 41 19,290 76 39 Mayotte — 47 — — GNI Percent of Married Mozambique 32 12 15-49 Using 11 per1,170 Capita Women Reunion — 95 67 64c ($US) Contraception Rwanda Percent 1,720 29 53 48 All Modern Seychelles Urban 25,760 54 — — 2015 Methods Methods Somalia — 40 15 1 15,415 54 62 56 South Sudan78 1,630 19 4 1 39,963 70 62 Tanzania 2,620 30 38 32 10,214 49 61 55 Uganda 1,780 20 34 30 8,936 47 54 46 Zambia 3,700 40 49 45 2,424 32 36 32 Zimbabwe 41 1,700 33 66 66 4,802 35 30 MIDDLE 2,617 47 21 11 3,606 AFRICA 39 31 26 Angola 6,450 62 18 12 9,798 51 52 46 Cameroon 54 3,080 34 21 14,280 71 57 48 Central 600 African 40 15 9 10,690 43 Republic 58 57 Chad 2,110 22 6 5 15,140 79 42 20 Congo 6,300 65 30 18 7,680 60 67 57 Congo, 720 Dem. 42 8 4,080 34Rep. 21 12 12 Equatorial Guinea 16,450 40 13 10 11,060 68 62 50 Gabon 18,810 87 31 19 — 81 — — Sao Tome and 3,160 67 Principe18 41 37 4,135 45 13 SOUTHERN AFRICA 12,404 62 60 59 2,100 44 18 12 Botswana 57 15,600 53 51 1,640 30 21 20 Lesotho 3,160 27 60 60 6,390 66 61 57 Namibia 10,380 47 56 55 3,240 54 18 12 South Africa65 12,830 60 60 1,580 60 9 8 Swaziland 21 8,040 66 66 4,070 54 35 29 AMERICAS 30,077 80 73 68 1,120 37 6 5 NORTHERN AMERICA74 55,179 81 68 1,450 49 16 14 43,970 82 72 Canada 74 720 50 20 19 56,430 81 74 68 United States 2,360 40 16 15 LATIN THE 14,512 80 67 3,710 AMERICA 60 AND 73 11 CARIBBEAN 10 CENTRAL AMERICA 14,896 74 72 65 950 22 14 12 7,880 45 55 52 Belize 5,800 48 15 10 14,880 77 76 75 Costa Rica 45 2,390 23 21 8,220 67 72 68 El Salvador 40 1,560 17 16 7,510 52 61 49 Guatemala 38 1,320 20 17 4,740 55 73 64 Honduras 26 2,019 40 37 17,150 79 72 66 Mexico 730 12 32 30 5,050 80 76 Nicaragua 59 1,430 28 19 14 20,710 67 63 60 Panama — 77 19 18 CARIBBEAN — 70 62 58 23 8 7 Antigua and20 Barbuda 37 22,220 24 — — 1,620 36 Bahamas 26 22,930 83 — — 3,060 66 63 Barbados 35 15,930 32 59 55 1,400 40 33 Cuba — 77 74 72 1,140 16 59 58 Curaçao — 89 — — 19,290 41 76 39 Dominica 10,420 70 — 47 — — Dominican Republic 13,570 79 70 68 1,170 32 12 11 Grenada 12,520 36 — — — 95 67 64 Guadeloupe — 98 — — 1,720 29 53 48 Haiti 1,760 59 34 31 25,760 54 — — Jamaica 8,860 55 72 68 — 40 15 1 Martinique — 89 — — 1,630 19 4 1 Puerto Rico 30 24,030 99 84 72 2,620 38 32 ©23,700 2016 Population St. Kitts-Nevis 32 Reference — Bureau 30 — 1,780 20 34 Saint Lucia 40 10,820 18 56 52 3,700 49 45

101.7 30 7 -0 132.9 168.6 47 2.9 4.2 2741 3 1,620 20 36 673 62 62 66 353 — — 0.8 93 1837 31 7 -0 63.7 88.2 39 3.6 3.9 2342 3 3,060 26 63 783 60 6045.4 65 510 4.8 7.0 1.5 79 1266 33 7 AND 0.4 0 32.9 DATA47.1 36 0.8 4.3 41 COUNTRIES 3 1,400 35 33 676 64 6423.7 67 353 0.3 0.3 79AND REGIONS 540 THE WORLD POPULATION, HEALTH, ENVIRONMENT AND ESTIMATES FOR15THE OF 34 10 -0 23.4 32.2 42 0.3 4.4 1040 4 1,140 16 58 453 62 6217.2 64 634 7.1 11.1 0.2 79 1759 10 8 -1 1.1 13.6 1.4 Percent 9 Percent 19,290 41 Percent 391,685 71 71 1.3 78 53 1.3 0.5 1.2 0.5 1.0 10020of 3of Total 576of 33 -0 4 4.0Population 3 Energy Consumption — 47Terrestrial —2,665 75 75 0.2 78 —3 — — 0.3 — 0.5 — —44 — 0—Land Maternal 27.2 45 14 per 0 Ages12.3 41.9 74.4 81 1.1 5.9 1,170 32Under Protected 11 52 52 56 489 8.7 0.3 Emissions 2045 to 3 From Renewable 88 1712 481 Life Expectancy Deaths Percent 15-49 Carbon With Access Population 17 -7 HIV/AIDS 1.1 metric tons) 7 1.2 2.5 Electricity 10 — d 95 Area76 67 64 77 84 —5Births — — 1.0 0.4 —24 — 2,381 at 0.8 Birth (years) 100,000 With (million Sources Status per Square 77 34 7 -1 16.4 23.6 32 0.2 4.2 1841 3 1,720 29 48 62 6211.9 66 290 2.3 3.5 0.1 87 953 1,006 Males Females Kilometer 17 0.1 13.4 2.4 100 22 8 25,760 54 — 70 0.09 Females 79 —7 —1 — 0.1 0.0 0.2 1 42— 117, 072 Land 70 Males 2015 2015 2015 1992 2013 2012 2013 2014 of Arable 44 12 -6 27.0 76 0.2 6.4 85 3 — 40 11,007 54 5411.1 57 732 0.5 0.5 0.0 3347 94 115 70 74 216 — —16.5 6,110 9,776 18 15 526 37 12 10 74 0.4 6.7 100 3 1,630 19 1 238 55 5512.7 57 789 2.0 2.9 —25.9 542 — 21 4 — 76 82 — —17.8 3,730 3,556 14 37 7 -1 134.8 43 2.9 5.2 81 3 2,620 30 32 697 64 6454.2 66 398 3.7 5.6 0.6 1545 88 3238 402 68 72 239 — —81.5 2,169 5,678 — 16 43 10 -4 101.5 53 1.3 5.8 75 3 1,780 20 30 614 62 6236.6 64 343 5.9 8.3 0.2 1848 90 1634 530 67 70 267 — —58.1 1,424 2,870 — 15 43 13 -0 24.1 41.0 52 5.3 34 3 3,700 40 45 550 51 5115.9 56 224 10.9 15.0 0.7 1.0 2246 88 3849 431 61 64 437 1.6 2.2 20 76 — 13 36 10 -3 22.2 33.2 50 3.8 4.0 45 3 1,700 33 66 514 56 5616.0 59 443 12.1 17.2 4.6 4042 76 2766 400 59 62 490 3.2 4.7 189 346 — 14 157 44 14 -0 238 396 88 6.0 26 3 2,617 47 11 607 51 51 54 653 1.6 2.3 5 15 — 14 57 59 557 4.0 6.0 124 209 3545 1621 502 45 14 1 39.4 65.5 93 8.9 6.0 88 2 6,450 62 12 571 51 5125.8 54 477 1.8 2.6 1.4 3748 57 718 527 69 73 126 0.1 0.1 66 136 — 6 38 10 -0 34.4 51.9 5536.6 4.9 100 3 3,080 54 21 393 56 56 59 596 3.6 5.3 1.0 1.9 5443 78 11 7324.4 78 140 <0.1 <0.1 22.1 0 834 545 34 14 0 9.7 9058.1 4.4 100 4 40 93,415 49 49 53 882 3.0 4.3 6.7 0.1 0.1 1139 78 18 278 70 5.0 73 33 <0.1 <0.1 22.2 5600 1115 47 149 38.5 8713.9 6.4 100 2 2,110 22 5 296 51 51 53 856 1.6 2.5 0.0 0.2 648 91 18 6914.5 75 —1 —22.7 10.2 2 06 368 37 10 -7 10.2 4816.0 4.7 100 3 6,300 65 18 431 57 57 4.9 60 442 — — 6.7 0.4 0.7 4241 48 3530 882 73 75 121 0.1 <0.1 7.1 11 34 46 16 -0 124.2 213.8 97 0.8 6.5 16 3 42 81,124 49 49 52 693 0.7 1.0 0.8 96 12 6179.8 64 311 0.3 0.2 — 4.2 3346 64720 221 245 35 11 5 2.0 67 1.5 4.9 100 3 16,450 40 10 725 56 56 59 342 4.0 5.8 1.3 0.1 6639 30 25 73 0.9 77 62 <0.1 <0.1 4.1 7.5 13 513 396 32 3.5 43 4.1 89 5 18,810 87 19 543 64 64 65 291 2.3 5.3 70 20 67 1.8 71 —9 —1 — 2.4 —1.3 —1.3 —37 — 031 — 33 7 -6 0.3 38 4.4 47 4 3,160 67 372,279 64 64 0.2 68 156 — — 0.3 0.0 0.0 6042 43 041 55 56 674 1.9 2.7 23 41 — 13 421 64 23 10 3 74 88 36 2.5 80 5 12,404 62 59 456 60 60 63 166 15.1 23.7 85 132 — 22 58 61 405 0.9 1.2 0.2 1.6 3831 51 2860 400 25 8 2 3.3 31 1.5 2.8 53 5 15,600 57 51 819 62 62 67 129 17.8 26.8 0.8 24 29 57 2.2 60 371 0.6 1.02.7 0.2 0.8 1333 80 1553 306 29 15 -2 3.4 59 0.6 3.3 21 5 3,160 27 60 872 50 50 50 487 18.9 26.6 —0.0 4 1 71 2.2 80 42 0.9 1.12.6 0.1 7136 21 360 961 29 7 0 4.7 39 0.8 3.6 47 4 10,380 47 55 317 62 62 67 265 10.7 15.9 0.3 33 38 51 2.5 53 645 2.5 3.83.3 1.3 2.5 5634 74 2356 823 22 10 3 63.4 75.2 34 2.4 85 5 12,830 65 60 445 60 60 64 138 14.9 23.6 83.9 128.5 17 9 5955.7 62 706 1.4 2.2 0.1 0.1 3530 49 460 474 29 14 -1 1.8 50 0.3 3.3 42 4 8,040 21 66 745 50 50 48 389 23.2 34.2 0.1 39 466 60 1.3 63 319 1.3 2.01.5 1.1 4.0 6437 49 15 601 998 15 7 1,117 1,221 14 0.6 2.0 98 10 30,077 80 68 270 74 74 80 52 —1 — 1,743 2,054 — 19 58 59 679 1.2 2.0 0.3 2623 76 2973 361 360 12 8 401 445 6 0.1 1.8 100 15 55,179 81 68 182 77 77 81 13 —4 — 1,460 1,544 — 15 54 57 549 0.0 6119 89 1674 629 11 87 46.9 4.4 1.6 100 16 43,970 82 72 923 79 79 84 —6 —41.0 120.3 129.7 21 9 79 6036.2 62 725 0.8 1.4 0.1 0.3 1016 89 374 323.9 12 8 359.4 398.3 5.8 1.8 100 15 56,430 81 68 213 76 76 81 14 —4 — 1,339.3 1,414.3 8 14 54 54 587 1.0 1.5 0.1 0.3 2619 84 874 269 637 17 6 -1 716 775 17 2.1 96 8 14,512 80 67 371 72 72 79 67 0.6 0.3 283 509 — 23 62 65 602 0.5 0.6 0.3 0.7 2226 33 173 926 175 19 5 -1 205 232 16 2.3 95 6 14,896 74 65 624 74 74 79 54 0.5 0.2 96 147 — 16 61 62 553 0.4 0.5 0.2 0.5 1429 81 1872 124 22 6 4 0.6 1426.1 2.5 100 4 7,880 45 52 549 71 71 0.4 77 28 1.6 1.5 0.5 0.1 0.1 27 3755 485 53 53 814 2.5 3.7 17.5 5636 86 14 15 4 1 6.1 8.0 1.8 100 7 14,880 77 752,108 77 77 4.9 82 25 0.5 0.2 5.6 1.0 2.1 39 2776 65 68 315 0.4 0.6 0.9 2.3 5623 51 25 455 18 7 -7 6.7 17 0.3 2.0 14 8 8,220 67 68 415 68 68 6.4 78 54 0.7 0.4 6.7 0.9 1.7 9427 34 872 878 50 52 1,360 1.0 1.6 0.1 80 11 24 5 21.3 27.6 28 0.6 3.1 31 5 7,510 52 491,651 69 6916.6 76 88 0.7 0.4 1.6 3.7 7940 66 3261 -1 59 61 368 1.9 2.9 0.2 73 25 283 22 5 -2 12.6 26 2.5 22 5 4,740 55 64 575 71 71 8.2 76 129 0.4 0.3 0.8 2.5 8232 53 2273 804 60 64 434 — —10.2 11 22 — 19 128.6 19 5 148.1 163.8 13 2.2 99 6 17,150 79 66 560 74 74 79 38 0.4 0.1 89.6 133.2 9 13 -1 58 61 712 0.8 1.3 0.1 0.1 728 97 772 925 20 5 -4 9.1 19 1.2 2.4 78 5 5,050 59 761,240 72 72 78 150 0.4 0.1 0.7 53 37 421 62 6.3 65 335 — — 7.5 0.0 0.0 6930 47 1080 19 5 2 5.7 14 2.8 2.4 91 8 20,710 67 60 75 75 81 94 0.9 0.4 1.2 23 21 718 60 4.0 64 229 1.3 1.8 4.8 0.1 0.2 5327 34 163 44,980 43 17 8 -4 47 49 28 2.3 82 9 — 70 58 806 71 71 76 175 1.1 1.1 22 37 — 14 62 66 501 0.4 0.8 0.2 0.2 3626 80 562 776 12 -0 0.1 16 2.9 1.5 27 7 22,220 24 —2,323 74 74 0.09 80 —6 0.1 0.1 9124 — 5— 62 66 353 — — 0.1 0.8 93 18 673 14 6 4 0.5 14 3.6 1.8 100 6 22,930 83 —4,781 72 72 0.4 78 80 4.2 2.3 0.4 0.5 0.8 2 13— 60 65 510 4.8 7.0 1.5 2326 79 12 783 12 9 2 0.3 12 0.8 1.7 15 14 15,930 32 552,564 73 73 0.3 78 27 2.1 1.0 0.3 0.4 9119 9 059 64 67 353 0.4 0.3 0.3 79 5 676 11 9 -2 11.1 10.2 4.2 1.7 100 14 — 77 72 453 78 7811.2 82 39 0.4 0.2 8.6 10.7 19 1274 355 62 64 634 7.1 11.1 0.2 0.3 1016 79 17 12 9 10 0.2 10.2 1.9 100 16 — 89 —1,685 75 9119 — —5— — 75 0.2 81 — — — 0.2 —0.5 1.4 71 78 53 1.3 0.5 1.0 3 14 -1 0.07 20 2.1 93 10 10,420 70 —1,213 72 72 0.07 77 12 22 75 78 —9 — — 0.08 —0.0 —0.0 —22 — 0— 2,665 20 6 -3 12.1 13.2 31 6.0 2.4 98 7 13,570 79 681,329 71 71 77 92 1.1 1.0 3.0 13 23 5210.6 56 489 8.7 12.3 0.3 1.1 2030 88 1770 481 17 8 -2 0.1 15 1.2 2.1 91 7 12,520 36 —3,719 74 74 0.1 79 27 0.0 0.1 10 2— 77 84 — — — 0.1 0.4 —26 — 76 2,381 12 -1 0.4 8.8 2.2 18 15 — 98 —1,006 76 76 0.4 83 —8 — — 0.4 0.4 0.6 —22 — 66 1,948 62 66 290 2.3 3.5 0.1 0.2 87 9— 26 -3 16.2 42 0.2 3.2 100 4 1,760 59 311,037 61 6111.1 65 359 1.3 2.1 0.2 0.7 3835 83 034 70 79 —8 — —13.3 0.0 1 42 117, 072 14 6 -5 2.6 17 0.2 2.0 33 9 8,860 55 681,007 73 73 2.7 78 89 2.0 1.3 2.8 2.1 2.1 9324 15 16 2,277 54 57 732 0.5 0.5 0.0 94 172 12 -3 0.3 7 0.4 2.1 18 — 89 —3,055 78 78 0.4 84 —9 — — 0.4 0.7 — 62— 55 57 789 2.0 2.9 —0.6 518 — 21 — 10 9 -19 3.1 7.0 1.4 15 18 24,030 99 725,598 76 76 3.4 83 14 — — 3.4 —0.6 — 9117 1 1084 64 66 398 3.7 5.6 2.9 88 32 402 notes on page 2016 WORLD 14 0.06 0.07 20 13 1.3 1.8 18 8 23,700 32 — 530 73 0.05 78 —8 —7 —See —0.2 0.1 9121 — 3— POPULATION 990 DATA73SHEET 62 64 343 5.9 8.3 90 16 12 6 0.2 18 1.0 1.5 22 9 10,820 18 525,911 75 75 0.2 82 48 —2 — 0.2 0.1 0.1 9122 2 1756 51 56 224 10.9 15.0 0.7 88 38 431

66 65 67 64 78 78 56 84 66 79 57 57 66 64 56 59 54 54 59 53 53 60 52 59 65 68 63 67 50 67 64 48 80 81 84 81 79 79 77 82 78 76 76 79 78 81 76 80 78 78 82 81 77 77 79 83 65 78 84 83 16 78 82

14 14 16 10 7 7 ercent15 4 pulation ercent 9 pulation Ages 65+ 18 Ages 65+ 8 18 8 18 18 7 9 7 5 5 4 9 4 8 4 3 11 3 5 5 6 8 6 4 11 4 5 7 5 6 7 6 3 5 3 8 5 8 3 5 3 7 3 7 3 14 3 6 6 3 8 3 2 7 2 5 5 3 11 3 6 3 2 3 12 3 14 3 3 11 4 3 4 3 2 3 7 3 3 2 2 3 1 3 4 4 3 3 8 3 1 3 3 4 5 4 9 5 9 3 7 3 4 10 3 10 3 4 3 8 5 8 3 5 3 2 3 6 3 5 3 6

Barbados 32 15,930 59 55 Cuba — 77 74 72 Curaçao — 89 — — Dominica 70 10,420 — — Dominican Republic 13,570 79 70 68 Grenada 12,520 36 — — GNI Percent of Married — 98 — 15-49 — perGuadeloupe Capita Women Using GNI Percent of Married Haiti 59 34 31c ($US) Contraception per1,760 Capita Women 15-49 Using Jamaica Percent 8,860 55 72 68c ($US) Contraception All Modern 2015 Urban Methods Methods Martinique — 89 — — Percent All Modern 2015 Methods Methods 15,415 54 62 56 Puerto RicoUrban 24,030 99 84 72 15,415 54 62 56 39,963 78 70 62 St. Kitts-Nevis 23,700 32 — — 39,963 70 62 10,214 49 61 55 Saint Lucia 78 10,820 18 56 52 10,214 49 61 55 8,936 47 54 46 St. Vincent and 11,000 51 the Grenadines — — 8,936 54 46 2,424 32 36 32 Trinidad and47 Tobago 29,630 8 42 38 2,424 32 36 32 4,802 AMERICA 41 35 30 SOUTH 14,628 83 75 69 4,802 41 35 30 3,606 39 31 26 Argentina — 92 55 53 3,606 39 31 26 9,798 51 52 46 Bolivia 6,840 68 61 35 9,798 51 52 46 14,280 71 57 48 Brazil 15,020 86 80 77 14,280 71 57 48 10,690 43 58 57 Chile 21,740 83 64 — 10,690 43 58 57 15,140 79 42 20 Colombia 76 13,520 79 73 15,140 79 42 20 7,680 60 67 57 Ecuador 11,190 64 73 60 7,680 60 67 57 4,080 34 12 12 French Guiana — 84 — — 4,080 34 12 12 11,060 68 62 50 Guyana 7,520 29 34 33 11,060 68 62 50 — 81 — — Paraguay 8,670 60 79 70 — 81 — — 4,135 45 18 13 Peru 11,960 79 75 52 4,135 18 13 2,100 44 12 Suriname 45 16,870 66 48 47 2,100 44 18 12 1,640 30 21 20 Uruguay 20,360 95 77 75 1,640 30 21 20 6,390 66 61 57 Venezuela 89 17,730 70 62 6,390 66 61 57 3,240 54 18 12 ASIA 11,969 48 65 59 3,240(Excl. China) 54 18 12 1,580 60 9 8 ASIA 10,800 44 56 48 1,580 60 9 8 4,070 54 35 29 WESTERN ASIA 25,602 70 54 38 4,070 54 35 29 1,120 37 6 5 Armenia 8,720 64 55 27 1,120 37 6 5 1,450 49 16 Azerbaijan 53 17,140 51 14 1,450 49 16 14 720 50 20 19 Bahrain 39,140 100 62 31 720 50 20 19 2,360 40 16 15 Cyprus 30,840 67 — — 2,360 40 16 15 3,710 60 11 10 Georgia 9,410 54 53 35 3,710 60 11 10 950 22 14 12 Iraq 14,850 70 52 34 950 22 14 12 5,800 48 15 10 Israel 34,940 92 — — 5,800 48 15 10 2,390 45 23 21 Jordan 10,740 84 61 42 2,390 45 23 21 1,560 40 17 16 Kuwait 79,970 98 52 39 1,560 40 17 16 1,320 38 20 17 Lebanon 14,120 88 58 34 1,320 38 20 17 2,019 26 40 37 Oman 37,340 75 30 19 2,019 26 40 37 730 12 32 30 Palestinian Territory 5,070 75 57 44 730 12 32 30 1,430 28 19 14 Qatar 140,720 99 38 34 1,430 28 14 — Arabia77 19 18 Saudi 54,730 83 24 — 77 19 18 — 23 8 7 Syria 58 54 38 — 23 8 7 1,620 20 37 36 Turkey 19,360 73 74 47 1,620 20 37 36 3,060 63 United Arab26 Emirates 66 70,570 86 28 24 3,060 26 66 63 1,400 35 40 33 Yemen 3,660 34 29 1,400 CENTRAL 40 33 1,140 16 59 58 SOUTH ASIA 6,326 35 54 46 1,140 16 59 58 19,290 41 76 39 CENTRAL ASIA 10,898 40 54 50 19,290 41 76 39 — 47 — — Kazakhstan 24,260 53 51 50 — 47 — — 1,170 32 12 11 Kyrgyzstan 3,300 36 42 40 1,170 32 12 11 — 95 67 64 Tajikistan 3,320 26 28 26 — 95 67 64 1,720 29 53 48 Turkmenistan 15,760 50 48 46 1,720 29 53 48 25,760 54 — — Uzbekistan 36 6,110 65 59 25,760 54 — — — 40 15 1 SOUTH ASIA35 6,155 54 46 — 40 15 1,630 19 4 1 Afghanistan 1,990 27 22 20 1,630 19 4 1 2,620 30 38 32 Bangladesh 34 3,550 62 54 © 2016 Population 2,620 30 Reference 38 Bureau 65 32 1,780 20 34 30 Bhutan 7,610 39 66 1,780 20 34 30 3,700 40 49 45 India 6,020 33 54 47

12 9 2 0.3 12 0.4 1.7 9119 14 15,930 32 552,564 73 73 0.3 78 27 2.1 1.0 0.3 0.3 9 059 11 9 -2 11.1 10.2 4.2 1.7 10016 14 — 77 72 355 78 7811.2 82 39 0.4 0.2 8.6 10.7 19 1274 — — 0.2 12 10 10.2 1.9 19 COUNTRIES 16 —AND REGIONS 89 — THE WORLD — — 75 75POPULATION, 81 —9 AND ENVIRONMENT — — 0.2 DATA — 0.2 1.4 HEALTH, AND ESTIMATES FOR91THE OF 14 -1 0.07 20 0.0 2.1 9322 10 10,420 70 —1,213 72 72 0.07 77 —9 — — 0.08 0.0 12 22— 20 6 -3 12.1 13.2 31 6.0 2.4 Percent 7 Percent 13,570 79 Percent 681,329 71 7110.6 77 92 1.1 1.0 3.0 9830of 13of Total 2370of 17 8 -2 0.1 15 0.1 2.1Population 7Energy 12,520 36Terrestrial —3,719 74 74 0.1 79 27 — — 0.1 0.0 9126of 10of Total 2—Land Maternal Consumption Percent Percent Percent of 12 -1 Ages 15-49 0.4 Emissions 8.8 2.2 — 98Under — 76 76 83 —8 per — — 0.4 0.4 0.6 —22 to 15Energy — 66—Land 1,948 Life0.4 Expectancy Deaths Percent Carbon With Access From Consumption Renewable Protected Maternal Population Terrestrial Population 26 8Births -3 HIV/AIDS 13.3 16.2 42 3.2 1,760 59Under 31 61 65 359 1.3 2.1 0.2 metric 0.7 3835 to 4 From 83 d 034 1,037 at11.1 Birth (years) 100,000 With (million tons) Electricity Sources AreaProtected Status Life Expectancy Deaths per Percent Ages 15-49 Carbon Emissions With Access Renewable per Square 61 Population 14 6Births -5 HIV/AIDS 2.6 metric 17 2.0 Electricity 9 8,860 55 Area16 72 68 73 78 89 2.0 1.3 2.8 2.1 2.1 9324 15 d 2,277 at 2.7 Birth (years) 100,000 With (million tons) Sources Status Males Females Kilometer per Square 73 Males Females 2015 2015 2015 1992 2013 2013 2014 of— Arable 12 -3 0.3 7 0.7 2.1 2012 18 — 89 78 0.4 84 —9 — — 0.4 0.6 —18 — 62— 3,055 Land 78 Males Females Kilometer Males Females 2015 2015 2015 1992 2013 2013 2014 of72 Arable 70 74 216 9,776 85 18 15 526 Land 76 10 9 -19 7.0 1.4 2012 18 24,030 99 76 3.4 83 14 — — 3.4 6,110 — 3.1 — 9117 1 1084 5,598 70 74 216 6,110 9,776 85 18 15 76 82 12 14 238 14 8 13 0.1 1.8 100 8 23,700 32 — 526 73 73 0.05 78 — —7 — 0.06 3,730 — 0.07 3,556 9121 — 3— 990 76 82 12 3,556 — 14 238 68 72 239 2,169 5,678 81 16 697 12 6 0.2 18 0.1 1.5 100 9 10,820 18 525,911 75 75 0.2 48 —2 — 0.2 3,730 0.1 9122 2 1756 68 72 239 5,678 — 16 697 67 70 267 1,424 2,870 75 15 614 16 7 -8 0.1 20 0.1 2.0 81 7 11,000 51 —2,207 71 71 0.1 75 45 — — 0.1 2,169 0.0 7625 5 22— 67 70 267 — — 1.4 1,424 2,870 75 — 15 614 61 64 437 1.6 2.2 20 76 3421 13 550 14 8 -1 1.3 13 1.7 100 9 29,630 8 385,420 71 71 1.4 78 63 1.2 1.3 5.7 12.7 0 3242 61 64 437 1.6 2.2 20 76 34 13 550 59 62 490 3.2 4.7 189 346 4525 1475 514 419 16 6 -0 465 494 17 2.1 98 8 14,628 83 69 302 72 72 79 63 0.6 0.3 165 324 — 25 59 62 490 3.2 4.7 189 346 45 — 14 57 59 557 4.0 6.0 124 209 3525 16 502 18 8 1 49.1 55.2 10.8 2.3 100 11 — 92 53 514 73 7343.6 80 52 0.5 0.3 33.1 51.8 9 755 110 57 59 557 4.0 6.0 124 209 — 16 69 73 126 0.1 0.1 66 136 88 661 571 24 6 -2 13.3 16.5 36 5.4 3.0 35 5 6,840 68 35 502 68 6811.0 74 206 0.4 0.2 1.8 9133 28 25 248 69 73 126 0.1 0.1 66 136 8823 — 6 73 78 140 <0.1 <0.1 22.1 36.6 0 880 545 226.3 18 1.8 100 8 15,020 86 77 571 72 206.1 14 6 0 223.1 72 79 44 0.7 0.4 60.2 137.4 44 28 271 7318.2 78 140 22.1 36.6 0 864 545 70 73 33 <0.1 22.2 58.1 5 11 3,415 14 6 2 20.3 21.7 7.4 1.8 10020 11 21,740 83 —1,390 77 77 82 22 0.5 <0.1 8.9 22.7 30 18 7048.8 73 33 <0.1 <0.1 22.2 58.1 5 11 3,415 69 75 — —53.3 10.2 13.9 2 079 368 16 69 -1 55.0 1524.4 2.3 100 7 13,520 76 732,899 72 72 79 64 0.7 0.3 16.9 9727 26 23 6916.5 — —19.7 10.2 13.9 2 073 368 75 121 0.1 <0.1 7.1 16.0 11 34 431 21 59 -0 23.2 2011.9 2.5 100 7 11,190 64 601,384 73 73 79 64 0.4 0.2 6.1 9729 13 26 73 75 121 0.1 <0.1 7.1 11 34 431 61 0.3 64 311 0.3 0.2 —0.2 4.2 33 64 2— 245 26 -2 0.6 916.0 3.5 100 5 — 84 —2,084 77 77 83 —3 — — 0.4 0.2 —34 — 52 61 0.8 64 311 0.3 0.2 0.8 —0.3 4.2 3329 64 234 245 73 77 62 <0.1 <0.1 4.1 7.5 13 5 396 20 8 -7 0.8 32 0.5 2.6 100 5 7,520 29 33 181 64 64 69 229 1.4 1.6 79 36 9 73 77 62 <0.1 <0.1 4.1 7.5 13 5 396 67 7.0 71 — — — 8.2 —0.7 —1.4 —32 — 079 — 22 6 -3 9.3 28 2.6 100 5 8,670 60 70 156 71 71 75 132 0.6 0.3 98 63 7 6731.5 71 — — —35.9 — — —28 075 — 55 56 674 1.9 2.7 23 41 — 13 20 6 -1 40.1 17 2.5 47 7 11,960 79 52 421 72 72 77 68 0.5 0.2 5.6 15.6 91 28 31 758 55 56 674 1.9 2.7 23 41 47 — 13 58 0.5 61 405 0.9 1.20.6 0.2 1.6 3827 51 2848 400 18 7 -2 0.7 17 2.3 100 7 16,870 66 47 421 68 68 74 155 1.1 1.1 0.6 0.6 19 15 913 58 3.5 61 405 0.9 1.23.6 1.6 3821 51 28 400 57 60 371 0.6 1.0 0.2 0.8 13 80 15 306 14 10 -1 3.7 9.3 1.9 100 14 20,360 95 75 150 74 74 81 15 0.7 0.2 1.4 2.1 46 377 5731.0 60 371 0.6 1.0 0.2 0.8 1328 80 15 306 71 80 42 0.9 1.1 0.0 0.1 71 21 370 961 20 5 -2 36.1 40.5 12.8 2.4 100 6 17,730 89 621,149 72 72 78 95 0.7 0.4 28.9 50.6 11 54 80 42 0.9 1.1 0.0 0.1 7125 21 365 961 51 53 645 2.5 3.8 1.3 56 74 23 823 4,437 18 7 -0 4,946 5,327 31 2.5 2.1 89 8 11,969 48 59 919 71 71 74 122 — — 2,002 5,158 — 13 51 53 645 2.5 3.8 1.3 2.5 5628 74 23 823 59 62 706 1.4 2.2 0.1 35 49 456 474 3,051 21 7 3,527 3,974 37 0.1 2.4 84 7 10,800 44 48 810 69 69 72 147 —0 — 1,258 2,350 — 11 59 62 706 1.4 2.2 0.1 0.1 3529 454 474 60 63 319 1.3 2.0 1.1 4.0 64 49 601 261 22 5 320 386 22 2.8 94 5 25,602 70 38 682 71 71 76 86 —3 — 227 468 — 15 60 3.0 63 319 1.3 2.0 2.8 1.1 4.0 6419 49 1555 601 58 59 679 1.2 0.3 0.6 26 76 29 361 14 9 -1 2.4 9 1.5 1.6 100 11 8,720 64 27 668 72 72 78 25 0.3 <0.1 1.5 7 25 58 9.8 59 679 1.2 2.0 0.3 0.6 2622 76 29 361 54 57 549 —0 —10.6 0.0 61 89 16 77 25 0.2 0.1 15.3 9.7 3 1451 507 17 6 10.8 10 0.1 2.1 100 6 17,140 53 14 629 72 72 54 57 549 —3 — 1.7 0.0 0.1 61 16 629 60 62 725 0.8 1.4 0.1 89 362 923 16 2 1.9 8 0.3 2.1 10 2 39,140 100 31 76 76 1.4 78 15 3.0 8.7 9817 — 90,404 60 62 725 0.8 1.4 1017 89 3— 923 54 54 587 1.0 1.5 0.1 26 84 8 269 12 67 -12 1.4 5 0.3 1.4 100 12 30,840 67 —1,473 78 78 1.2 82 — — 1.3 1.4 1.6 8 18 54 54 587 1.0 1.5 0.1 0.3 2617 84 853 269 62 65 602 0.5 0.6 0.3 22 33 1 13 11 -1 3.1 9 0.7 1.7 100 14 9,410 54 35 926 71 71 4.0 79 36 0.6 0.2 3.7 4.2 2.0 29 882 62 65 602 0.5 0.6 0.3 0.7 22 33 1 6138.1 62 553 0.4 0.5 0.2 0.5 1440 81 18 124 32 4 76.5 3745.8 4.2 100 3 14,850 70 34 926 67 67 72 50 —2 —53.4 16.8 2 052 763 61 8.2 62 553 0.4 0.5 0.2 0.5 1428 81 18— 124 53 53 814 2.5 3.7 17.5 26.1 56 86 14 549 21 5 13.8 3.1 3.1 100 11 34,940 92 —2,869 80 80 84 —1 —10.3 11.7 19.4 9 20 53 8.2 53 814 2.5 3.7 17.5 86 14 549 65 68 315 0.4 0.6 0.9 2.3 5637 51 25 455 27 4 -13 11.4 1626.1 3.5 100 3 10,740 84 423,543 73 73 76 58 — — 9.0 3.3 6.8 3 261 65 4.0 68 315 0.4 0.6 0.9 2.3 5622 51 2552 455 50 52 1,360 1.0 1.6 0.1 0.3 14 80 11 415 17 24 22 6.0 726.7 2.2 98 2 79,970 98 39 74 74 76 — — 5.0 5.8 — 18 38,196 50 6.2 52 1,360 1.0 1.6 5.5 0.1 0.3 1425 80 11 415 59 61 368 1.9 2.9 0.2 0.6 31 73 25 283 15 5 -1 5.6 8 6.2 1.7 100 7 14,120 88 344,726 76 76 78 15 0.1 <0.1 2.8 5 358 59 4.4 61 368 1.9 2.9 0.2 0.6 3121 73 2530 283 60 64 434 11 22 19 575 21 2 39 6.0 8 2.9 22 3 37,340 75 19 75 75 78 17 — — 5.1 3.3 16.7 98 — 11 11,541 60 64 434 11 22 19 575 58 4.8 61 712 0.8 1.3 0.1 0.1 740 97 7 925 32 4 -2 8.8 18 4.1 22 3 5,070 75 44 71 71 75 45 — — 6.5 — 0.7 98 — 057 10,441 58 2.5 61 712 0.8 1.3 0.1 0.1 715 97 7 925 62 65 335 — — 3.0 0.0 0.0 47 10 1,240 12 1 75 3.5 723.2 2.0 69 1 140,720 99 34 77 77 80 13 7.3 98 — 338 17,556 62 65 335 —3 —39.9 0.0 0.0 69 47 10 60 64 229 1.3 1.8 0.1 0.2 34 124 44,980 22 4 50.0 15 2.8 53 3 54,730 83 —1,240 73 7331.7 75 12 77.9 147.6 9830 0 31 1,033 60 64 229 1.3 1.8 0.1 53 34 154 44,980 62 66 501 0.4 0.8 0.2 80 5 776 22 4 -20 31.2 16 0.2 2.7 36 4 — 58 38 64 6417.2 77 68 — —26.1 11.7 9.8 9632 2 369 501 0.4 0.8 0.2 0.2 3624 80 5 776 62 66 353 —7 —88.4 0.8 2.9 27 93 18 17 5 93.5 1188.2 2.1 100 8 19,360 73 47 673 75 7579.5 79 16 41.8 13 074 386 62 66 353 —8 —11.0 0.8 2.9 27 93 18 673 60 65 510 4.8 7.0 1.5 3.6 79 12 783 11 26 12.8 646.1 1.8 23 1 70,570 86 24 76 76 9.3 79 15.9 9814 0 1928 24,712 60 65 510 4.8 7.0 1.5 3.6 23 12 783 64 67 353 0.4 0.3 0.3 79 5 676 33 7 -1 36.3 47.1 43 0.8 4.2 15 3 3,660 35 292,200 63 6327.5 385 <0.1 <0.1 3.9 6.9 4840 1 134 64 67 353 0.4 0.3 0.3 0.8 1530 554 676 62 64 634 7.1 11.1 0.2 0.3 10 79 17 453 1,929 23 7 -0 2,254 2,563 43 2.5 80 5 6,326 35 46 744 67 67 70 171 — — 398 918 — 6 62 64 634 7.1 11.1 0.2 0.3 1029 79 17 453 71 78 53 1.3 0.5 0.5 1.0 3 70 24 6 -1 82 96 32 2.7 100 5 10,898 40 501,685 68 68 75 33 0.3 0.1 118 122 — 554 184 71 78 53 1.3 0.5 0.5 1.0 3 5 75 — — —20.5 — — —25 — 051 2,665 23 8 -1 24.7 971.7 2.6 100 7 24,260 53 501,685 68 6817.8 77 12 0.3 0.1 73.6 1 3 61 75 78 — — — 8.2 —11.6 —2.7 —33 — 042 52 6.1 56 489 8.7 12.3 0.3 1.1 20 88 17 481 28 6 -1 20 3.8 100 4 3,300 36 402,665 67 67 74 76 0.3 0.1 3.1 22 7 477 52 8.6 56 489 8.7 12.3 0.3 1.1 20 88 1728 481 77 84 — — —11.1 0.4 1.2 —35 — 76 2,381 31 6 -3 14.2 38 1.0 3.6 100 3 3,320 26 261,005 66 66 73 32 0.4 0.2 2.0 58 22 77 5.4 84 — 0.4 1.2 —28 76 2,381 66 290 2.3 3.5 0.1 0.2 18 87 948 21 8 -1 6.6 4518.2 2.2 100 4 15,760 50 461,006 62 62 70 42 — — 6.2 9.0 — 3 280 62 66 290 2.3 3.5 0.1 0.2 1829 87 965 7031.9 79 — — —36.2 0.0 1 42 117, 072 23 5 -1 39.0 4328.2 2.5 100 5 6,110 36 591,006 71 71 76 36 0.2 <0.1 30.4 2 3 724 70 79 —7 1 42 117, 072 54 57 732 0.5 0.5 0.0 0.2 3330 94 154 1,859 23 -0 2,172 2,467 43 2.5 100 5 6,155 35 461,007 67 67 70 176 — — 280 796 78 — 7 840 5433.4 732 0.5 0.5 0.0 0.2 33 94 122 55 57 789 2.0 2.9 —62.4 0.4 544 — 21 — 37 8 1 45.5 68 5.8 5.3 43 2 1,990 27 201,007 59 59 62 396 <0.1 <0.1 0.4 11 0 429 55 57 789 2.0 2.9 —4.8 0.4 533 — 21 — 64 66 398 3.7 5.6 0.6 2.9 15 88 32 402 162.9 20 5 -2 186.5 202.2 3818.8 2.3 60 6 3,550 34 542,122 71 71 73 176 <0.1 <0.1 38 562 page 2016 WORLD 64 0.8 66 398 3.7 5.6 0.6 2.9 1531 88 3266 POPULATION 402 DATA69SHEET 62 64 343 5.9 8.3 0.2 1.3 18 16 530 19 6 0.9notes on0.1 1.0 20 44 0.2 2.1 76 5 7,610 39 65 769 69 70 148 —2 —See 90 47 62 64 343 5.9 8.3 0.2 1.3 1829 90 16 530 51 56 224 10.9 15.0 0.7 1.0 22 88 38 431 1,328.9 22 7 1,530.0 1,708.0 40 2.3 79 6 6,020 33 47 846 67 67 70 174 —0 — 190.6 554.9 39 554

78 82 81 77 77 79 83 65 78 84 83 78 82 75 78 79 80 74 79 82 79 79 83 69 75 77 74 81 78 74 72 76 78 77 78 82 79 72 84 76 76 78 78 75 80 75 77 79 79 67 70 75 77 74 73 70 76 70 62 73 17 70 70

3 5 5 7 4 3 ercent 4 5 pulation 5 Ages 2 65+ 6 8 5 18 6 7 5 5 4 6 4 4 3 8 5 6 4 4 5 5 6 4 3 6 8 5 3 5 3 12 3 11 3 6 7 3 12 2 10 5 16 3 9 3 27 3 10 3 14 3 4 3 13 3 17 4 19 3 17 3 16 3 19 2 19 3 20 4 14 3 13 3 19 3 19 3 16 4 20 9 17 3 19 3 18 10 18 3 18 8 21 3 16 3 14 3 24 3 18 3 18

3,660 Yemen 35 34 29 SOUTH 6,326 CENTRAL 35 ASIA 54 46 10,898 CENTRAL ASIA 40 54 50 24,260 Kazakhstan 53 51 50 3,300 Kyrgyzstan 36 42 40 3,320 Tajikistan 26 28 26 GNI Percent of Married 15,760 Turkmenistan 50 48 15-49 Using 46 per Capita Women 6,110 Uzbekistan 36 65 59c ($US) Contraception SOUTH 6,155 ASIA 35 54 46 Percent All Modern 1,990 Afghanistan 27 22 20 2015 Urban Methods Methods 3,550 Bangladesh 54 34 54 15,415 62 56 7,610 Bhutan 39 66 65 39,963 78 70 62 6,020 India 33 54 47 10,214 49 61 55 17,400 Iran 72 77 57 8,936 47 54 46 11,310 Maldives 32 46 35 27 2,424 36 32 2,500 Nepal 20 50 47 4,802 41 35 30 5,350 Pakistan 39 35 26 3,606 31 11,480 Sri Lanka 51 18 68 52 9,798 52 46 11,298 SOUTHEAST48 ASIA 62 54 14,280 71 57 48 Brunei — 77 — — 10,690 43 58 57 3,290 Cambodia 21 56 39 15,140 79 42 20 10,680 Indonesia 54 61 60 7,680 60 67 57 5,380 Laos 39 50 42 4,080 34 12 12 26,140 Malaysia 75 49 32 11,060 68 62 50 Myanmar — 34 46 46 81 — — 8,900 Philippines 45 44 55 38 4,135 18 13 81,190 Singapore 100 62 55 2,100 44 18 12 15,210 Thailand 50 79 77 1,640 30 21 20 3,820 Timor-Leste 33 22 21 6,390 66 61 57 5,690 Vietnam 34 76 57 3,240 54 18 12 17,048 EAST 82 81 1,580ASIA 60 9 8 14,160 56 China 85 84 4,070 54 35 29 f 57,650 100 75 72 China, Hong Kong SAR 1,120 37 6 5 120,890 100 — — China, Macao 1,450 49SARf 16 14 38,870 94 Japan 54 44 720 50 20 19 — 61 71 65 Korea, North40 2,360 16 15 34,700 82 Korea, South60 80 70 3,710 11 10 11,070 67 55 48 Mongolia 950 22 14 12 — 77 — Taiwan 71 5,800 48 15 10 32,614 EUROPE 74 71 61 2,390 45 23 21 37,646 EUROPEAN 75 UNION 72 65 1,560 40 17 16 42,265 NORTHERN 81 EUROPE 81 78 1,320 38 20 17 Channel — Islands 32 — — 2,019 26 40 37 47,810 Denmark 88 — — 730 12 32 30 27,510 Estonia 69 63 58 1,430 28 19 14 40,840 Finland 84 77 75 — 77 19 18 46,120 94 — — Iceland — 23 8 7 46,410 Ireland 63 65 61 1,620 20 37 36 24,220 Latvia 68 68 56 3,060 26 66 63 26,660 Lithuania 35 67 63 50 1,400 40 33 64,590 Norway 81 88 82 1,140 16 59 58 47,390 Sweden 86 75 65 19,290 41 76 39 40,550 United Kingdom 83 84 84 — 47 — — 46,052 WESTERN EUROPE 79 71 68 1,170 32 12 11 47,510 Austria 66 70 68 — 95 67 64 44,100 Belgium 98 70 69 1,720 29 53 48 40,470 France 80 76 74 25,760 54 — — 48,260 Germany 75 66 62 — 40 15 1 Liechtenstein — 14 — — 1,630 19 4 1 70,750 Luxembourg90 — — 2,620 30 38 32 © 2016 Monaco — Population 100 — Bureau 30 — 1,780 20 Reference 34 48,400 Netherlands40 90 69 67 3,700 49 45 61,930 Switzerland 84 82 78

6327.5 67 33 385 7 <0.1 -1 <0.1 36.3 47.1 3.9 43 6.9 4.2 4840 3 3,660 1 35 134 292,200 63 1,929 67 70 23 171 7 — -0 2,254 — 2,563 398 43 918 2.5 8030 5 6,326 — 35 654 46 744 67 68 70 75 24 33 6 AND 0.3 -1 0.1 82 118 96AND ESTIMATES 32 122 2.7 100 29 COUNTRIES 5 10,898 —AND REGIONS 40 554 THE WORLD 50 184 68 POPULATION, HEALTH, ENVIRONMENT DATA FOR THE OF 6817.8 77 23 12 8 0.3 -1 0.1 20.5 73.6 24.7 971.7 2.6 10025 7 24,260 1 53 351 50 61 68 67 6.1 74 28 76 6 0.3 -1 0.1 8.2 11.6 3.1 20 2.7 3.8 10033 4 3,300 22 36 742 40 477 67 Percent of Percent of Total Percent of 66 8.6 73 31 32 6 0.4 -3 0.2 11.1 14.2 2.0 38 1.0 3.6Population 10035 3Energy Consumption 3,320 58 26Terrestrial 2228Land 261,005 66 Maternal 62 70 21 42 8 per — -1 Ages 15-49 — 6.2 9.0 6.6 Emissions 4518.2 2.2 28 to 4 From15,760 — 50Under Protected 348 46 280 62 Life5.4 Expectancy Deaths Percent Carbon With100 Access Renewable Population 71 76 23 36 5Births 0.2 -1 HIV/AIDS <0.1 36.2 30.4 39.0 metric 43 28.2 2.5 Electricity 10029 5 6,110 2 d 36 Area Status 365 59 at31.9 Birth (years) 100,000 With (million tons) Sources per 724 Square 71 1,859 67 70 23 176 7 — -0 2,172 — 2,467 280 43 796 2.5 7830 5 6,155 — 35 754 46 840 67 Males Females Kilometer 5933.4 62 37 396 8 <0.1 1 <0.1 45.5 62.4 0.4 68 5.8 5.3 2012 4344 2 1,990 11 27 022 429 Land 59 Males Females 2015 2015 2015 1992 2013 2013 2014 of20 Arable 71 162.9 73 20 176 5 <0.1 -2 <0.1 186.5 6,110 202.2 4.8 3818.8 2.3 85 6033 6 3,550 38 34 562 542,122 71 70 74 216 — — 9,776 18 15 526 69 0.8 70 19 148 6 —2 — 0.9 3,730 0.1 1.0 44 0.2 2.1 100 7631 5 7,610 90 39 4766 65 238 769 69 76 82 12 3,556 — 14 1,328.9 67 70 22 174 7 —0 1,530.0 — 1,708.0 190.6 40 554.9 2.3 81 7929 6 6,020 39 33 554 47 697 846 67 68 72 239 2,169 5,678 — 16 7479.5 77 19 25 5 0.2 -1 0.1 62.4 91.6 14 168.3 1.8 100 5 17,400 1 72 777 57 614 534 74 67 70 267 — —87.9 1,424 2,870 7524 — 15 76 0.4 78 18 68 3 —1 — 0.5 0.1 0.6 8 0.3 2.5 100 5 11,310 3 46 135 27 10,616 76 61 64 437 1.6 2.2 20 76 3427 — 13 550 6628.4 69 22 258 7 0.3 -1 0.2 33.3 36.4 0.4 33 1.8 2.3 45 7631 6 2,500 85 20 2350 471,345 66 59 62 490 3.2 4.7 189 346 — 14 514 66 203.4 67 30 178 7 0.1 -1 <0.1 265.6 344.0 19.9 6741.8 3.7 35 9436 4 5,350 45 39 1135 26 502 668 66 57 59 557 4.0 6.0 124 209 — 16 7221.2 78 16 30 6 <0.1 -4 <0.1 21.9 21.2 1.4 8 4.4 2.1 88 8925 8 11,480 61 18 23 521,628 72 69 73 126 0.1 0.1 66 136 — 668 571 68 633 73 19 110 7 0.6 -0 0.4 730 142 824 27 368 2.4 100 9027 6 11,298 — 48 14 54 907 68 73 78 140 <0.1 <0.1 22.1 36.6 0 862 545 77 81 16 23 3 —2 — 0.5 1.4 0.5 858.1 2.1 1.9 100 7623 4 — 0 77 44 —8,472 77 70 0.4 73 33 <0.1 <0.1 22.2 5 11— 3,415 61 66 24 161 69 0.6 -2 0.7 22.5 0.4 2613.9 1.5 2.6 100 3132 4 3,290 73 21 26 39 381 61 6915.8 75 — —19.0 10.2 2 056 368 69 259.4 73 20 126 7 0.6 -1 0.4 305.7 359.8 55.2 30 130.7 2.5 100 9628 5 10,680 37 54 15 601,104 69 73 75 121 0.1 <0.1 7.1 16.0 11 3461 431 65 68 26 197 7 — -3 — 8.7 0.1 55 0.6 3.0 70 4 5,380 87 39 17 42 475 65 61 7.1 64 311 0.3 0.2 —10.4 4.2 3335 64 250 245 72 77 17 40 5 0.7 2 0.1 36.1 20.5 40.7 664.5 2.0 10025 6 26,140 7 75 18 323,228 72 7330.8 62 <0.1 <0.1 4.1 7.5 13 549 396 64 68 19 178 1.0 -1 0.5 1.3 61 2.3 52 5 79 — 34 7 46 487 64 6752.4 71 —8 — —58.1 —61.3 —3.4 —28 — 046 — 65 102.6 72 23 114 7 0.1 -1 <0.1 124.0 148.7 13.3 22 26.8 2.8 47 8832 5 8,900 29 44 1155 381,835 65 55 56 674 1.9 2.7 23 41 — 13 421 80 85 10 4 —8 — 6.3 13.7 6.6 1.7 13.8 1.2 100 12 81,190 1 100 662 982,641 55 400 80 58 5.6 618 405 0.9 1.2 0.2 1.6 3815 51 28 72 79 12 20 8 1.3 -1 1.0 66.8 29.9 63.3 1082.7 1.6 100 11 15,210 23 50 19 77 389 72 5765.3 60 371 0.6 0.2 0.8 1318 80 1579 306 67 70 37 215 7 — -9 — 1.6 —0.0 2.3 45 0.1 5.7 42 6 3,820 43 33 9 21 817 67 71 1.3 80 42 0.9 1.1 7142 21 322 961 71 76 16 54 7 0.7 1 0.3 103.2 108.2 5.9 1541.6 2.1 99 7 5,690 36 34 776 571,446 71 5192.7 53 645 2.5 3.8 1.3 2.5 5624 74 23 823 1,614 75 79 12 27 7 — -0 1,643 — 1,554 10 0.1 1.6 99 12 17,048 60 81 75 1,235 3,405 — 17 1,396 59 62 706 1.4 2.2 0.1 3517 49 482 474 1,378.0 75 78 12 27 7 — -0 1,411.2 — 1,343.9 735.2 2,795.1 11 4.0 1.6 100 10 14,160 18 56 1785 75 841,296 60 63 319 1.3 2.0 1.1 6417 49 15 601 81 7.4 878 —6 —6 — 8.0 9.0 8.2 1.4 12.3 1.2 100 16 57,650 1 100 4275 237,245 72 361 81 58 59 679 1.2 2.0 0.3 0.6 2611 76 29 80 0.7 86 11 —3 0.3 0.8 0.6 1.1 61 9112 9 120,890 0 100 0— — 629 — 80 2 0.1 54 57 549 —9 — 0.7 0.0 89 16 80 125.3 878 105 —0 — 116.7 306.5 100.6 339.1 1.9 1.5 100 27 38,870 4 94 19 80 442,958 60 62 725 0.8 1.4 0.1 0.3 1013 89 354 923 6625.1 74 15 82 9 — -0 —26.7 63.5 27.0 2513.7 2.0 26 3021 10 16 — 61 371 651,069 66 54 54 587 1.0 1.5 0.1 0.3 84 8 269 7950.8 869 11 5 —0 —52.2 77.5 48.1 161.6 3.0 1.2 100 14 34,700 2 82 880 79 703,396 62 65 602 0.5 0.6 0.3 0.7 2214 33 1 926 65 75 27 44 6 <0.1 0 <0.1 3.0 4.6 1511.3 3.1 90 4 11,070 3 67 17 48 546 65 61 3.1 62 553 0.4 0.53.8 0.2 0.5 1427 81 1855 124 77 83 —7 —0 —23.3 39.7 20.5 4.0 71.3 1.2 56 —14 13 — — 77 — —3,949 77 5323.5 539 814 2.5 3.7 17.5 26.1 86 1471 549 75 740 81 11 11 13 —2 744 — 1,884 728 1,560 5 2.3 1.6 100 17 32,614 — 74 14 61 266 75 65 68 315 0.4 0.6 0.9 5616 51 2571 455 78 506 83 10 10 8 —3 518 — 1,088 515 930 4 0.3 1.6 100 19 37,646 — 75 25 65 467 78 50 52 1,360 1.0 1.6 0.1 1416 80 1172 415 79 103 83 12 9 8 —3 112 — 228 120 197 4 0.6 1.8 100 17 42,265 — 81 20 78 525 79 59 61 368 1.9 2.9 0.2 3118 73 2581 283 80 0.2 85 10 —8 — — 2.9 1.6 100 16 — 32 —— —3,944 80 60 64 434 —4 — 0.2 110.2 22 2215 — 19 575 79 5.7 82 10 96 —9 — 6.2 14.8 6.3 3.5 10.4 1.7 100 19 47,810 28 88 18 — 925 238 79 58 61 712 0.8 1.3 0.1 0.1 717 97 7— 72 1.3 82 11 129 6.5 1.2 2.4 5.4 1.6 100 19 27,510 25 69 2163 581,240 208 72 62 65 335 —2 — 1.3 0.0 0.0 6916 47 10 78 5.5 85 10 103 —2 — 5.8 12.9 5.9 1.7 12.6 1.6 100 20 40,840 39 84 15 75 247 78 60 64 229 1.3 1.8 0.1 0.2 5316 34 177 44,980 81 0.3 84 12 73 —3 — 0.4 0.5 0.4 2.0 0.5 1.8 100 14 46,120 78 94 17 — 776 276 81 62 66 501 0.4 0.8 0.2 0.2 3620 80 5— 79 4.7 83 14 68 -3 8.5 5.7 3.1 9.5 1.9 100 13 46,410 7 63 1465 61 673 419 79 62 66 353 — — 5.1 0.8 2.9 2722 93 18 69 2.0 80 11 14 18 0.9 -4 0.4 1.6 3.9 1.5 4.2 1.9 1.6 100 19 24,220 40 68 1868 56 783 163 69 60 65 510 4.8 7.0 1.5 3.6 2315 79 12 69 2.9 80 11 14 10 — -8 — 2.7 6.0 2.4 4.1 3.4 1.6 100 19 26,660 24 67 17 50 676 125 69 64 67 353 0.4 0.3 0.3 0.8 1515 79 563 80 5.2 84 11 85 —6 — 5.9 8.7 6.6 2.4 16.3 1.7 100 16 64,590 58 81 2988 82 453 650 80 62 64 634 7.1 11.1 0.2 0.3 1018 79 17 80 9.9 84 12 94 —8 —11.5 13.9 12.6 2.5 12.1 1.8 10017 20 47,390 50 86 15 651,685 381 80 71 78 53 1.3 0.5 0.5 1.0 3 575 7965.6 83 12 151.7 124.8 3.9 1.8 100 17 40,550 4 83 28 841,047 79 75 78 —9 —3 —71.0 —77.0 — —18 — 084 2,665 79 193 84 10 10 7 —8 201 — 448 205 400 3 1.1 1.7 100 19 46,052 — 79 28 68 571 79 52 56 489 8.7 12.3 0.3 2016 88 1771 481 79 84 10 104 — 13 — 9.2 15.5 9.7 3.0 17.0 1.5 100 18 47,510 34 66 28 682,381 647 79 77 8.8 — 0.4 1.2 —14 — 7670 79 84 11 107 —4 —12.0 30.5 12.8 3.5 25.5 1.7 100 18 44,100 7 98 23 691,384 79 6211.3 66 290 2.3 3.5 0.1 0.2 1817 87 970 1,006 79 85 12 —1 —68.5 99.8 72.3 3.5 90.9 1.9 10018 18 40,470 13 80 25 74 353 79 7064.6 79 —98 0.0 0.2 1 4276 117, 072 78 83 116 — 14 —83.3 243.2 81.0 206.5 3.3 1.5 100 21 48,260 12 75 37 621,007 696 78 5482.6 579 732 0.5 0.5 0.0 0.2 3313 94 166 81 84 10 —7 —4 — 0.04 — 0.04 3.3 0.0 1.6 100 16 — — 14 44 —1,454 81 55 0.04 57 789 2.0 2.9 0.4 515 21— — 80 85 11 10 7 — 20 — 0.7 2.9 0.7 3.2 2.8 1.5 100 14 70,750 4 90 35 — 933 80 64 0.6 66 398 3.7 5.6 0.6 2.9 1516 88 32— 402 notes on page 2016 WORLD — 0.04 —7 —6 — 21 —See 0.04 —0.2 0.05 20 ——1.3 1.5 100 24 — — 100 53 — 226 62 64 343 5.9 8.3 1813 90 16— POPULATION 530 DATA—SHEET 8017.0 83 10 97 —3 —17.8 44.2 18.1 3.6 46.4 1.7 100 18 48,400 5 90 1269 671,639 80 51 56 224 10.9 15.0 0.7 1.0 2217 88 38 431 81 8.4 85 10 85 —9 — 9.5 11.7 10.3 3.9 11.0 1.5 10015 18 61,930 23 84 1082 782,078 81

67 70 75 77 74 73 70 76 70 62 73 70 70 77 78 69 67 78 73 81 66 73 68 77 68 72 85 79 70 76 79 78 87 86 87 74 86 75 83 81 83 83 85 82 82 85 84 83 80 80 84 84 83 84 84 84 85 83 84 85 18 — 83 85

19 16 20 17 19 18 ercent18 18 pulation 21 Ages 16 65+ 14 8 24 18 18 7 18 5 15 4 14 4 20 3 18 5 18 6 10 4 16 5 15 6 14 3 14 8 16 3 19 3 13 3 14 3 14 6 19 3 19 2 22 5 8 3 13 3 18 3 14 3 20 3 18 3 18 3 18 4 18 3 12 3 15 3 4 2 6 3 7 4 8 3 4 3 2 3 13 3 8 4 15 9 6 3 3 6 10 3 6 8 5 3 4 3 3 Ages 3 65+ 3 cent of

26,660 Lithuania 67 63 50 64,590 Norway 81 88 82 47,390 Sweden 86 75 65 40,550 United Kingdom 83 84 84 46,052 WESTERN EUROPE 79 71 68 47,510 Austria 66 70 68 GNI Percent of Married 44,100 Belgium 98 70 15-49 Using 69 per Capita Women 40,470 France 80 76 74c ($US) Contraception 48,260 Germany Percent 75 66 62 All Modern Liechtenstein — 14 — — 2015 Urban Methods Methods 70,750 Luxembourg54 90 — — 15,415 62 56 Monaco — 100 — — 39,963 78 70 62 48,400 Netherlands49 90 69 67 10,214 61 55 61,930 Switzerland 47 84 82 78 8,936 54 46 21,212 EASTERN EUROPE 69 69 57 2,424 32 36 32 16,840 Belarus 78 63 51 4,802 41 35 30 16,790 Bulgaria 73 69 40 3,606 39 31 26 30,420 Czech Republic 73 86 78 9,798 51 52 46 24,630 Hungary 71 81 71 14,280 57 48 5,350 Moldova 42 60 42 10,690 43 58 57 25,400 Poland 60 — — 15,140 79 42 20 20,900 Romania 55 70 50 7,680 60 67 57 23,790 Russiag 74 68 55 4,080 34 12 12 28,200 Slovakia 54 80 66 11,060 68 62 50 g 7,810 Ukraine 70 68 61 — 81 — — 30,960 SOUTHERN 70 EUROPE 66 48 4,135 45 18 13 11,140 Albania 58 69 10 2,100 44 18 12 Andorra — 85 — — 1,640 30 21 20 10,610 Bosnia-Herzegovina 40 46 12 6,390 66 61 57 21,730 Croatia 59 — — 3,240 54 18 12 26,790 Greece 78 76 46 1,580 60 9 8 35,850 Italy 69 63 41 4,070 54 35 29 9,840 Kosovoh 38 66 14 1,120 37 6 5 13,570 Macedoniai 49 57 40 13 1,450 16 14 27,390 Malta 95 86 46 720 50 20 19 15,890 Montenegro40 64 23 2,360 16 15 28,590 Portugal 64 87 82 3,710 60 11 10 San — — — 950Marino 94 22 14 12 12,800 Serbia 60 58 18 5,800 48 15 10 30,830 Slovenia 50 79 63 2,390 45 23 21 34,490 Spain 80 66 62 1,560 40 17 16 32,456 OCEANIA 70 62 58 1,320 38 20 17 44,570 Australia 26 89 72 68 2,019 40 37 3,600 22 of Micronesia — 70 Federated States 730 12 32 30 8,700 Fiji 51 29 — 1,430 28 19 14 French Polynesia 56 — — — 77 19 18 Guam 94 67 58 — 23 8 7 4,150 Kiribati 54 22 18 1,620 20 37 36 4,710 Marshall Islands 74 45 42 3,060 26 66 63 Nauru — 100 36 23 1,400 35 40 33 New — Caledonia 70 — — 1,140 16 59 58 35,680 New Zealand41 86 75 72 19,290 76 39 14,700 Palau 87 33 30 — 47 — — 2,800 Papua New Guinea 13 32 24 1,170 32 12 11 5,720 Samoa 18 27 24 — 95 67 64 2,180 Solomon Islands 20 35 27 1,720 29 53 48 5,290 Tonga 24 34 28 25,760 54 — — 5,430 Tuvalu 60 30 22 — 40 15 1 3,040 Vanuatu 26 49 36 1,630 19 4 1 2,620 30 38 32 GNI per Percent All Modern © Capita 2016 Population 1,780 20 Reference 34 Bureau 30 Urban Methods Methods 3,700 40 49 45 ($US) 2015 Percent of Married

69 2.9 80 11 14 10 — -8 — 2.7 6.0 2.4 4.1 3.4 1.6 10015 19 26,660 24 67 1763 50 125 69 80 80 5.2 84 11 85 —6 — 5.9 8.7 6.6 2.4 16.3 1.7 10018 16 64,590 58 81 2988 82 650 80 84 80POPULATION, 9.9 84 12 94 AND ENVIRONMENT —8 —11.5 DATA 13.9 12.6 2.5 12.1 1.8 100 17 COUNTRIES 20 47,390 50AND REGIONS 86 15 75 THE WORLD 65 381 80 84 HEALTH, AND ESTIMATES FOR THE OF 7965.6 83 12 9 —3 —71.0 151.7 77.0 124.8 3.9 1.8 10018 17 40,550 4 83 2884 841,047 79 83 79 193 84 10 10 7 —8 201 — 448 205 400 3 1.7Percent 10016of 19 Percent 46,052 —of Total 79 Percent 2871of 68 571 79 84 79 8.8 84 10 104 — 13 — 9.2 15.5 9.7 3.0 17.0 1.5Population 10014 18 Energy 47,510 34 66Terrestrial 2870Land 68 647 79 84 Maternal Consumption 79 11.3 84 11 107per —4 Ages 15-49 —12.0 30.5 12.8 Emissions 3.5 25.5 1.7 17 to 18 From44,100 7 98Under Protected 2370 69 1,384 79 84 Life Expectancy Deaths Percent Carbon With100 Access Renewable Population 79 85 12 — 1 HIV/AIDS —68.5 99.8 72.3 metric tons) 3.5 90.9 1.9 Electricity 10018 18 40,470 13 d 80 Area25 76 74 85 at64.6 Birth (years) 100,00098Births With (million Sources Status per 353 Square 79 7882.6 839 116 — 14 —83.3 243.2 81.0 206.5 3.3 1.5 10013 21 48,260 12 75 3766 62 696 78 83 Males Females Kilometer 81 0.04 Females 84 10 —7 —4 — 0.04 — 0.04 3.3 0.0 1.6 100 15 16 — — 14 44— 1,454 Land 81 84 Males 2015 2015 2015 1992 2013 2012 2013 2014 of— Arable 80 0.6 85 11 10 7 — 20 — 0.7 6,110 2.9 0.7 3.2 2.8 1.5 100 14 70,750 4 90 35— — 526 933 80 85 70 74 216 9,776 8516 18 15 — 0.04 —7 — 6 — 21 — 0.04 3,730 — 0.05 3,556 —— 1.5 10013 24 — — 100 53— — 238 226 — — 76 82 12 14 8017.0 83 10 97 —3 —17.8 2,169 44.2 18.1 3.6 46.4 1.7 100 18 48,400 5 90 1269 671,639 80 83 68 72 239 5,678 8117 — 16 697 81 8.4 85 10 85 —9 — 9.5 1,424 11.7 10.3 3.9 11.0 1.5 100 18 61,930 23 84 1082 782,078 81 85 67 70 267 2,870 7515 — 15 614 68 293 78 12 13 20 — -1 281 — 980 261 740 6 1.6 100 15 21,212 — 69 12 57 151 68 78 61 64 437 1.6 2.2 20 76 3416 1369 550 68 9.5 78 13 134 0.6 2 0.6 9.3 23.8 9.1 3.0 17.4 1.8 100 14 16,840 7 78 963 51 514 171 68 78 59 62 490 3.2 4.7 189 346 4516 — 14 71 7.1 789 15 11 — -1 — 6.6 14.9 5.8 6.6 10.8 1.5 100 20 16,790 16 73 4169 40 502 205 71 78 57 59 557 4.0 6.0 124 209 3514 — 16 7610.6 82 11 114 —2 —10.8 37.7 11.1 2.5 26.9 1.6 100 18 30,420 11 73 21 78 571 335 76 82 69 73 126 0.1 0.1 66 136 8815 — 686 72 79 13 17 — -0 — 9.7 16.5 9.4 4.1 11.3 1.4 10014 18 24,630 10 71 23 71 223 72 79 73 9.8 789 140 <0.1 <0.1 22.1 36.6 0 881 545 68 76 11 11 23 0.8 1 0.4 3.4 5.7 2.8 1058.1 1.4 1.3 10016 10 5,350 5 42 460 423,415 196 68 76 70 3.6 73 33 <0.1 <0.1 22.2 11 74 82 10 103 — -0 —37.3 96.7 33.9 4.0 82.4 1.3 10015 16 25,400 11 60 30 — 356 74 82 6938.4 75 9 10.2 13.9 2 0— 368 72 79 12 31 -27 — —17.4 33.6 13.9 7.5 19.3 1.2 10016 15 20,900 22 55 24 50 226 72 79 7319.8 759 121 0.1 <0.1 7.1 16.0 11 3470 431 66 144.3 77 13 13 25 —2 — 142.6 566.9 136.4 487.9 6.5 1.8 100 14 23,790 3 74 11 55 120 66 77 61 64 311 0.3 0.2 — 4.2 3317 64 268 245 73 5.4 80 10 10 6 —1 — 5.4 12.0 4.9 5.1 9.2 1.4 10015 14 28,200 10 54 37 66 389 73 80 77 62 <0.1 <0.1 4.1 7.5 13 580 396 66 76 10 14 24 1.0 0.8 172.1 8.1 73.9 1.5 100 16 7,810 3 70 4 61 131 66 76 6742.7 71 — —0 —39.1 —33.6 — —15 — 068 — 79 150 84 10 6 0.5 0 0.2 150 228 143 222 4 1.4 100 19 30,960 — 70 24 48 502 79 84 55 569 674 1.9 2.7 23 41 4715 1366 421 76 80 11 29 8 — -6 — 2.8 0.7 2.4 7.1 1.3 1.7 100 13 11,140 38 58 269 10 468 76 80 58 2.9 61 405 0.9 1.2 0.2 1.6 3818 51 28 400 — 0.08 —9 —4 —8 — 0.08 —0.2 0.07 3.4 0.1 1.2 100 14 — — 85 20— —2,746 — — 57 60 371 0.6 1.0 0.8 1315 80 15 306 74 3.5 798 11 9 — -0 — 3.3 4.1 2.8 6 0.1 6.0 1.3 100 14 10,610 15 40 146 12 961 348 74 79 71 80 42 0.9 1.1 0.0 7115 21 3 74 4.2 819 138 — -4 — 3.9 4.5 3.5 5.0 4.8 1.5 100 19 21,730 20 59 38— — 823 476 74 81 51 53 645 2.5 3.8 1.3 2.5 5615 74 23 7810.8 848 103 0.4 1 <0.1 10.4 20.6 9.2 3.8 18.9 1.3 100 19 26,790 14 78 35 46 474 422 78 84 59 62 706 1.4 2.2 0.1 0.1 3515 49 476 8060.6 858 114 0.5 2 0.2 63.5 114.7 63.5 3.2 94.0 1.4 100 22 35,850 12 69 2163 41 601 888 80 85 60 63 319 1.3 2.0 1.1 4.0 6414 49 15 74 1.8 79 17 —5 -31 — — 1.8 —0.3 1.8 12 —0.6 2.3 100 8 9,840 21 38 — 14 361 — 74 79 58 59 679 1.2 2.0 2624 76 2966 73 2.1 77 11 108 2.9 1.9 9 0.1 2.3 1.5 100 13 13,570 16 57 1040 13 629 502 73 77 54 57 549 —0 — 2.1 0.0 6117 89 16 80 0.4 84 10 89 —7 — 0.4 0.6 0.4 5.7 0.6 1.4 100 18 27,390 3 95 23 464,831 80 84 60 62 725 0.8 1.4 0.1 0.3 1014 89 386 923 74 0.6 79 12 107 — -3 — 0.7 —0.1 0.7 4.6 0.6 1.6 100 14 15,890 46 64 423 157,941 74 79 54 54 587 1.0 1.5 0.3 2618 84 8 269 7710.3 838 11 10 — -1 — 9.9 13.2 9.1 3.0 12.6 1.3 100 20 28,590 26 64 22 82 926 923 77 83 62 65 602 0.5 0.6 0.3 0.7 2214 33 187 84 89 —7 —6 — 0.03 —0.2 0.03 — 2.3 1.5 100 18 — — 94 0— —3,311 84 89 61 0.03 628 553 0.4 0.5 0.5 1415 81 18 124 73 78 15 17 —2 — 6.4 — 5.3 4.6 12.2 1.5 100 18 12,800 20 60 758 18 214 73 78 53 7.1 539 814 2.5 3.7 17.5 26.1 5614 86 14 549 78 84 10 109 —0 — 2.0 3.4 1.9 2.1 3.9 1.6 100 18 30,830 19 50 54 631,186 78 84 65 2.1 68 315 0.4 0.6 0.9 2.3 5615 51 2579 455 80 85 95 0.6 -1 0.2 42.4 63.8 39.8 2.8 64.6 1.3 100 18 34,490 16 80 28 62 344 80 85 5043.3 529 1,360 1.0 1.6 0.1 0.3 1415 80 1166 415 75 40 80 17 86 7 0.4 7 0.2 51 81 66 20 116 2.3 80 12 32,456 — 70 15 58 283 85 75 80 59 61 368 1.9 2.9 0.2 0.6 3124 73 2562 8024.1 84 13 76 0.3 <0.1 73.1 41.3 103.1 3.4 1.8 100 15 44,570 8 89 1572 68 575 52 80 84 60 64 434 —9 —30.9 11 22 2219 — 19 68 0.1 72 23 100 5 -14 — — 0.1 —0.1 0.1 29 0.1 0.0 3.4 59 4 3,600 — 22 4— 705,135 68 72 58 61 712 0.8 1.3 734 97 7 925 67 0.9 73 18 30 9 -6 0.2 1.0 14 0.0 0.5 3.1 69 5929 6 8,700 12 51 429 —1,240 528 67 73 62 65 335 — — 0.9 0.0 47 10 75 0.3 79 16 —5 — -0 — 0.3 0.3 6.0 2.0 53 5924 7 — 9 56 2— 10,968 — 75 79 60 64 229 1.3 1.8 0.1 0.2 34 1 44,980 76 0.2 82 21 —5 — -6 — 0.2 —0.2 0.3 — 9.4 3.0 36 5926 8 — — 94 27 58 18,886 76 82 62 66 501 0.4 0.8 0.2 80 567 776 63 0.1 68 30 90 8 -3 0.0 0.2 45 2.9 0.0 3.9 27 5935 4 4,150 3 54 2222 185,790 63 68 62 66 353 — — 0.1 0.8 93 18 673 71 0.06 72 27 —4 -17 — — 0.06 0.0 0.08 22 3.6 0.0 4.1 23 5941 2 4,710 — 74 845 422,760 71 72 60 65 510 4.8 7.0 1.5 79 12 783 63 0.01 70 34 —8 — -8 — 0.01 0.0 0.01 18 0.8 0.0 3.9 15 —37 13 — — 100 036 23 676 — 63 70 64 67 353 0.4 0.3 0.3 79 5 74 0.3 80 17 —5 —6 — 0.3 0.4 0.4 4 0.3 1.1 2.3 10 5924 8 — 4 70 54— —4,497 74 80 62 64 634 7.1 11.1 0.2 79 17 453 80 4.7 83 13 11 7 — 14 — 5.3 6.8 5.9 4.1 9.3 2.0 10020 15 35,680 31 86 33 721,685 859 80 83 71 78 53 1.3 0.5 0.5 1.0 3 575 70 0.02 76 13 0.02 12 2.1 59 6 14,700 3 87 16 301,891 70 76 75 78 —9 —0 — 0.02 —0.0 —0.1 —20 — 033 2,665 61 65 28 215 8 0.6 0 0.9 10.5 13.9 0.6 46 1.7 3.7 18 3 2,800 53 13 332 242,717 61 65 52 8.2 56 489 8.7 12.3 0.3 1.1 2039 88 17 481 73 76 28 51 5 -28 — — 0.2 0.0 0.2 15 0.1 5.1 100 6 5,720 23 18 727 242,436 73 76 77 0.2 84 — 0.4 1.2 —38 — 76 2,381 66 73 30 114 5 —0 — 0.9 0.0 1.2 22 0.1 4.0 23 3 2,180 67 20 2 273,291 66 73 62 0.7 66 290 2.3 3.5 0.1 0.2 1839 87 935 1,006 74 78 26 124 -19 — — 0.1 0.0 0.1 17 0.1 4.1 100 9637 6 5,290 1 24 16 28 646 74 78 70 0.1 79 —7 0.2 4234 117, 072 67 72 25 —9 — -3 — 0.01 —0.0 0.01 10 —0.2 3.6 45 5 5,430 — 60 2 221,007 — 67 72 54 0.01 57 732 0.5 0.5 3333 94 130 72 0.3 75 32 78 5 —0 — 0.4 0.6 28 0.4 0.0 4.2 27 4 3,040 34 26 449 361,420 72 75 55 57 789 2.0 2.9 —0.0 540 — 21 — 64 66 per 398 3.7 5.6 0.6 2.9 Total 2012 15 88per 32All 402 Males Males Females 2015 Males Females 1992 2013 Ages Ages GNI 2013 Percent 2014 Modern Population Females Population Births Deaths Net mid-2030 mid-2050 Infant See notes on0.2 page 20 2016 WORLD POPULATION DATA SHEET 19 62 64 343 5.9 8.3 1.3 Fertility 18<15 90 16 2015 2015 65+ Capita Urban Methods Methods per 530 Square mid-2016 1,000 per 1,000 Migration (millions) (millions) Mortality a 51 56 224 10.9per 15.0 0.7 882015 38 431 of Rateb 22 ($US) Kilometer (millions) Population Population Rate Rate1.0 Life Expectancy Maternal Percent Ages 15-49 Carbon Emissions PercentPercent of Percent of of Married Life Expectancy Population ofPercentofTotalEnergy Percent Arable Land 1,000

2

Ma

WO R L D P O P U L AT I O N H I G H L I G H T S F O C U S O N H U M A N N E E D S A N D S U S TA I N A B L E R E S O U R C E S

NOTES (—) Indicates data unavailable or inapplicable.

A date range indicates the most recent data point during that time period. a Infant deaths 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 on the reverse. Rates shown in italics are based on fewer than 100 annual infant deaths, so the figure is estimated from an average of the previous three years. b Average number of children born to a woman during her lifetime. c Data prior to 2010 are shown in italics. d Renewable sources include hydroelectric power. e The status of Western Sahara is disputed by Morocco.

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Data prepared by PRB demographers Toshiko Kaneda and Kristin Bietsch. © August 2016. Population Reference Bureau.

All rights reserved.

ISSN 0085-8315 Cover photo: © Taiwan Nans0410/Getty Images

© 2016 Population Reference Bureau

f Special Administrative Region. g Does not include the population of Crimea, estimated at 2.3 million.

The population is included in the regional total for Eastern Europe. h Kosovo declared independence from Serbia on Feb. 17, 2008.

Serbia has not recognized Kosovo’s independence. i The former Yugoslav Republic.

For additional notes and sources, see reverse side.

Data prepared by PRB demographers Toshiko Kaneda and Kristin Bietsch. © August 2016. Population Reference Bureau. All rights reserved.

2016 WORLD POPULATION DATA SHEET

20

Acknowledgments, Notes, Sources, and Definitions ACKNOWLEDGMENTS The authors gratefully acknowledge the valuable assistance of PRB senior consultant, Carl Haub; PRB staff members John May, Kelvin Pollard, Nicole LaGrone, Amanda Lee, and Matthew Rigsby; and staff of the International Programs Center of the U.S. Census Bureau; the United Nations (UN) Population Division; and the Institut national d’etudes démographiques (INED), Paris, in the preparation of this year’s World Population Data Sheet.

This publication is funded by the William and Flora Hewlett Foundation, the David and Lucile Packard Foundation, the U.S. Agency for International Development (PACE Project, No. AID-0AA-A-16-00002), and supporters.

The contents are the responsibility of the Population Reference Bureau and do not necessarily reflect the views of USAID or the United States government.

NOTES The Data Sheet lists all geopolitical entities with populations of 150,000 or more and all members of the UN. These include sovereign states, dependencies, overseas departments, and some territories whose status or boundaries may be undetermined or in dispute. More developed regions, following the UN classification, comprise all of Europe and North America, plus Australia, Japan, and New Zealand. All other regions and countries are classified as less developed. The least developed countries consist of 48 countries with especially low incomes, high economic vulnerability, and poor human development indicators; 34 of these countries are in subSaharan Africa, 13 in Asia, and one in the Caribbean.

The criteria and list of countries, as defined by the UN, can be found at http://unohrlls.org/about-ldcs/.

Sub-Saharan Africa: All countries of Africa except the northern African countries of Algeria, Egypt, Libya, Morocco, Sudan, Tunisia, and Western Sahara.

World and Regional Totals: Regional population totals are independently rounded and include small countries or areas not shown. Regional and world rates and percentages are weighted averages of countries for which data are available. Regional averages are shown when data or estimates are available for at least three-quarters of the region’s population.

World Population Data Sheets from different years should not be used as a time series. Fluctuations in values from year to year often reflect revisions based on new data or estimates rather than actual changes in levels. Additional information on likely trends and consistent time series can be obtained from PRB, and are also available from UN and U.S. Census Bureau publications and websites.

SOURCES The rates and figures are primarily compiled from the following sources: official country statistical yearbooks, bulletins, and websites; the UN Demographic Yearbook, 2014; and Population and Vital Statistics Report of the UN

Statistics Division; World Population Prospects: The 2015 Revision of the UN Population Division; and the International Data Base of the International Programs Center, U.S. Census Bureau. Other sources include recent demographic surveys such as the Demographic and Health Surveys, Multiple Indicator Cluster Surveys, Performance and Monitoring Accountability (PMA) 2020 Surveys, special studies, and direct communication with demographers and statistical bureaus in the United States and abroad.

Specific data sources may be obtained by contacting the authors of the 2016 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 2015 or 2014.

DEFINITIONS Mid-2016 Population Estimates are based on a recent census, official 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 population’s age structure into account. Thus, crude death rates in more developed countries with a relatively large proportion of highmortality older population are often higher than those in less developed countries with lower life expectancy.

Net Migration The estimated rate of net immigration (immigration minus emigration) per 1,000 population for a recent year based upon the official 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 definition of an immigrant.

Projected Population, 2030 and 2050 Projected populations based on reasonable assumptions on the future course of fertility, mortality, and migration.

Projections are based on official 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 100 annual infant deaths and, as a result, are subject to considerable yearly variability; rates shown for such countries are averages for a multiple-year period.

Total Fertility Rate The average number of children a woman would have assuming that current age-specific birth rates remain constant throughout her childbearing years (usually considered to be ages 15 to 49).

Population Under Age 15/Age 65+ The percentage of the total population in those ages, which are often considered the “dependent ages.”

GNI PPP per Capita, 2015 (US$) GNI PPP per capita is gross national income in purchasing power parity (PPP) divided by mid-year population. GNI PPP refers to gross national income converted to “international” dollars using a purchasing power parity conversion factor.

PPP adjusts exchange rates to relative purchasing power in different countries, providing a more accurate basis of comparison for GNI. Data are from the World Bank.

Percent Urban Percentage of the total population living in areas termed “urban” by that country or by the UN. Countries define urban in many different ways, from population centers of 100 or more dwellings to only the population living in national and provincial capitals.

Contraceptive Use The percentage of currently married or “in union” women of reproductive age who are currently 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, Reproductive Health Surveys, Multiple Indicator Cluster Surveys, PMA 2020 Surveys, regional survey programs, national surveys, and the UN Population Division World Contraceptive Use 2015. Data prior to 2010 are shown in italics.

Life Expectancy at Birth The average number of years a newborn infant can expect to live under current mortality rates.

Maternal Deaths per 100,000 Births Maternal deaths in a time period divided by the number of live births in the same period, expressed per 100,000 live births. A maternal death is defined by the World Health Organization (WHO) as “the death of a woman while pregnant or within 42 days of the termination of pregnancy, irrespective of the duration and site of the pregnancy, from any cause to or aggravated by the pregnancy or its management but not from accidental or incidental causes.”

Data are from the 2015 report Trends in Maternal Mortality: 1990 to 2015 that compiles estimates by WHO, UNICEF, UNFPA, the World Bank, and the UN Population Division.

HIV Prevalence The proportion of the population living with HIV regardless of the time of infection, knowledge of the infection, or stage of the disease. Data are from UNAIDS. Carbon Emissions (Million Metric Tons) Total carbon emissions from fossil-fuel burning, cement production, and gas flaring. Emissions are expressed in million metric tons of carbon (not CO2). Data are from the Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory.

Population With Access to Electricity Percentage of total population with access to electricity.

Modelled by Sustainable Energy for All using data from nationally representative household surveys and government agencies. The model assumes universal access in countries classified as “more developed” by the UN. Renewables as Percent of Total Energy Consumption Percentage of final consumption of energy that is derived from renewable resources. It is calculated by dividing consumption of energy from all renewable sources by total final energy consumption. Renewable energy consumption includes consumption of energy derived from: hydro, solid biofuels, wind, solar, liquid biofuels, biogas, geothermal, marine, and waste. Total final energy consumption is calculated from national balances and statistics as total final consumption minus nonenergy use. Data are from the Organisation for Economic Co-operation and Development/ International Energy Agency and the World Bank.

Percent of Terrestrial Land Protected Percentage of terrestrial land under protected area status.

The International Union for Conservation of Nature defines a protected area as “a clearly defined geographical space, recognized, dedicated, and managed, through legal or other effective means, to achieve the long-term conservation of nature with associated ecosystem services and cultural values.” Terrestrial area includes total land area and inland waters. Data are calculated from the World Database on Protected Areas, as presented by mdgs.un.org.

Population per Square Kilometer of Arable Land The mid-year 2016 population divided by the square kilometers of arable land. Arable land is defined by the UN Food and Agriculture Organization (FAO) to include “the land under temporary agricultural crops (multiplecropped areas are counted only once), temporary meadows for mowing or pasture, land under market and kitchen gardens, and land temporarily fallow (less than five years).” Data for the percent of land that is arable and the square kilometers in a country are from the FAO.

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