2016 world population data sheet

Transcription

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.
INFORM
|
EMPOWER
|
A DVA NCE
|
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
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
LESS DEVELOPED
COUNTRIES
7,418,151,841
Minute
Deaths per
MORE DEVELOPED
COUNTRIES
Year
Population
Births per
WORLD
See notes on page 20
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
365,666
254
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.
5
WO R L D P O P U L AT I O N H I G H L I G H T 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.
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
6
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
Recycling Rate (% of total waste
Controlled Disposal (% of collected
Waste Collection Coverage (% of city p
BUENOS AIRES, ARGENTINA
96 • 97 • 8
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.
7
370
capita) is indicated by both the size of the circle and
country where the city is located.
417
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.
8
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.
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.
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
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
Ma
Dea
100,0
2
1,
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
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
Ma
Dea
100,0
2
1,
Yemen
SOUTH CENTRAL ASIA
CENTRAL ASIA
Kazakhstan
Kyrgyzstan
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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
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
2
1,
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
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
($US)
2015
Rate
Rate
Life Expectancy
Population
Percent of
Percent of Married
1,000
Ma
Dea
100,0
2
1,
2
Ma
ercent
pulation
Ages
65+
8
18
7
5
4
4
3
5
6
4
5
6
3
8
3
3
3
3
6
3
2
5
3
3
3
3
3
3
3
4
3
3
3
2
3
4
3
3
3
3
4
9
3
3
10
3
8
3
3
3
3
3
POPULATION, HEALTH, AND ENVIRONMENT DATA AND ESTIMATES FOR THE COUNTRIES AND REGIONS OF THE WORLD
GNI
per Capita
($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
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1.7 9119
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552,564
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—
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1.9
19 COUNTRIES
16
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89
— THE WORLD
— —
75
75POPULATION,
81
—9 AND ENVIRONMENT
—
— 0.2 DATA
— 0.2
1.4
HEALTH,
AND ESTIMATES
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14
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8Births
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13.3
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at11.1
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6Births
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9
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2013
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12
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70
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216
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526 Land 76
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—
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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
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7
477
52 8.6
56
489
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88
1728
481
77
84
—
—
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0.4
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—
76
2,381
31
6
-3
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3
3,320
26
261,005
66
66
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32
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22
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290
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4
15,760
50
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62
62
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42
—
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9.0
—
3
280
62
66
290
2.3
3.5
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1829
87
965
7031.9
79
—
—
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1
42
117,
072
23
5
-1
39.0
4328.2
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5
6,110
36
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71
71
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36
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2
3
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70
79
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1
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117,
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54
57
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0.5
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0.2
3330
94
154
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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
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0.4
11
0
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55
57
789
2.0
2.9
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—
21
—
64
66
398
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5.6
0.6
2.9
15
88
32
402
162.9
20
5
-2
186.5
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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
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— 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
—
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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
—
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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
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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
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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
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
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.
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.
The Population Reference Bureau informs people around the world about
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information to advance the well-being of current and future generations.
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States rely on sound evidence,
rather than anecdotal or
outdated information, when
developing population, health,
and environmental policies.
CORE THEMES
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2016 world population data sheet

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