Population, total - Country Ranking

Definition: Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. The values shown are midyear estimates.

Source: (1) United Nations Population Division. World Population Prospects, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Report (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 China 1,370,840,000.00 2015
2 India 1,311,051,000.00 2015
3 United States 321,191,000.00 2015
4 Indonesia 257,564,000.00 2015
5 Brazil 207,848,000.00 2015
6 Pakistan 188,925,000.00 2015
7 Nigeria 182,202,000.00 2015
8 Bangladesh 160,996,000.00 2015
9 Russia 143,814,000.00 2015
10 Mexico 127,017,000.00 2015
11 Japan 126,820,000.00 2015
12 Philippines 100,699,000.00 2015
13 Ethiopia 99,391,000.00 2015
14 Vietnam 91,714,000.00 2015
15 Egypt 91,508,000.00 2015
16 Germany 80,930,000.00 2015
17 Iran 79,109,000.00 2015
18 Dem. Rep. Congo 77,267,000.00 2015
19 Turkey 76,819,000.00 2015
20 Thailand 67,959,000.00 2015
21 France 66,477,000.00 2015
22 United Kingdom 64,955,000.00 2015
23 Italy 60,772,000.00 2015
24 South Africa 54,767,000.00 2015
25 Myanmar 53,897,000.00 2015
26 Tanzania 53,470,000.00 2015
27 Korea 50,633,000.00 2015
28 Colombia 48,229,000.00 2015
29 Spain 46,460,000.00 2015
30 Kenya 46,050,000.00 2015
31 Ukraine 45,157,000.00 2015
32 Argentina 43,417,000.00 2015
33 Sudan 40,235,000.00 2015
34 Algeria 39,667,000.00 2015
35 Uganda 39,032,000.00 2015
36 Poland 37,992,000.00 2015
37 Canada 35,883,000.00 2015
38 Iraq 35,870,000.00 2015
39 Morocco 34,378,000.00 2015
40 Afghanistan 32,527,000.00 2015
41 Saudi Arabia 31,540,000.00 2015
42 Peru 31,377,000.00 2015
43 Uzbekistan 31,190,000.00 2015
44 Venezuela 31,108,000.00 2015
45 Malaysia 30,331,000.00 2015
46 Nepal 28,514,000.00 2015
47 Mozambique 27,978,000.00 2015
48 Ghana 27,410,000.00 2015
49 Yemen 26,832,000.00 2015
50 Dem. People's Rep. Korea 25,155,000.00 2015
51 Angola 25,022,000.00 2015
52 Madagascar 24,235,000.00 2015
53 Australia 23,802,000.00 2015
54 Cameroon 23,344,000.00 2015
55 Côte d'Ivoire 22,702,000.00 2015
56 Syrian Arab Republic 22,351,000.00 2015
57 Sri Lanka 20,876,000.00 2015
58 Niger 19,899,000.00 2015
59 Romania 19,765,000.00 2015
60 Burkina Faso 18,106,000.00 2015
61 Chile 17,948,000.00 2015
62 Mali 17,600,000.00 2015
63 Kazakhstan 17,506,000.00 2015
64 Malawi 17,215,000.00 2015
65 Netherlands 16,917,000.00 2015
66 Guatemala 16,343,000.00 2015
67 Zambia 16,212,000.00 2015
68 Ecuador 16,144,000.00 2015
69 Zimbabwe 15,603,000.00 2015
70 Cambodia 15,578,000.00 2015
71 Senegal 15,129,000.00 2015
72 Chad 14,037,000.00 2015
73 Guinea 12,609,000.00 2015
74 Rwanda 11,610,000.00 2015
75 Cuba 11,390,000.00 2015
76 Belgium 11,301,000.00 2015
77 Burundi 11,179,000.00 2015
78 Tunisia 11,117,000.00 2015
79 Benin 10,880,000.00 2015
80 Greece 10,840,000.00 2015
81 Somalia 10,787,000.00 2015
82 Bolivia 10,725,000.00 2015
83 Haiti 10,711,000.00 2015
84 Czech Republic 10,534,000.00 2015
85 Dominican Republic 10,528,000.00 2015
86 Portugal 10,358,000.00 2015
87 Hungary 9,831,000.00 2015
88 Sweden 9,766,000.00 2015
89 Azerbaijan 9,651,000.00 2015
90 Belarus 9,448,000.00 2015
91 United Arab Emirates 9,157,000.00 2015
92 Austria 8,570,000.00 2015
93 Tajikistan 8,482,000.00 2015
94 Israel 8,350,000.00 2015
95 Switzerland 8,265,000.00 2015
96 Honduras 8,075,000.00 2015
97 Papua New Guinea 7,619,000.00 2015
98 Togo 7,305,000.00 2015
99 Hong Kong SAR, China 7,297,000.00 2015
100 Bulgaria 7,171,000.00 2015
101 Serbia 7,097,000.00 2015
102 Lao PDR 6,802,000.00 2015
103 Jordan 6,738,000.00 2015
104 Paraguay 6,639,000.00 2015
105 Sierra Leone 6,453,000.00 2015
106 Libya 6,278,000.00 2015
107 El Salvador 6,127,000.00 2015
108 Nicaragua 6,082,000.00 2015
109 Kyrgyz Republic 5,930,000.00 2015
110 Denmark 5,660,000.00 2015
111 Singapore 5,562,000.00 2015
112 Finland 5,480,000.00 2015
113 Slovak Republic 5,423,000.00 2015
114 Turkmenistan 5,374,000.00 2015
115 Eritrea 5,228,000.00 2015
116 Norway 5,197,000.00 2015
117 Central African Republic 4,900,000.00 2015
118 Costa Rica 4,808,000.00 2015
119 Ireland 4,649,000.00 2015
120 Lebanon 4,648,000.00 2015
121 Congo 4,620,000.00 2015
122 New Zealand 4,548,000.00 2015
123 Liberia 4,503,000.00 2015
124 Oman 4,491,000.00 2015
125 Croatia 4,223,000.00 2015
126 Mauritania 4,068,000.00 2015
127 Panama 3,929,000.00 2015
128 Kuwait 3,892,000.00 2015
129 Bosnia and Herzegovina 3,810,000.00 2015
130 Georgia 3,716,000.00 2015
131 Moldova 3,551,000.00 2015
132 Puerto Rico 3,546,000.00 2015
133 Uruguay 3,432,000.00 2015
134 Armenia 3,018,000.00 2015
135 Mongolia 2,959,000.00 2015
136 Lithuania 2,915,000.00 2015
137 Albania 2,901,000.00 2015
138 Jamaica 2,730,000.00 2015
139 Namibia 2,459,000.00 2015
140 Botswana 2,262,000.00 2015
141 Qatar 2,235,000.00 2015
142 Lesotho 2,135,000.00 2015
143 Macedonia 2,078,000.00 2015
144 Slovenia 2,064,000.00 2015
145 The Gambia 1,991,000.00 2015
146 Latvia 1,984,000.00 2015
147 Guinea-Bissau 1,844,000.00 2015
148 Gabon 1,725,000.00 2015
149 Bahrain 1,377,000.00 2015
150 Trinidad and Tobago 1,360,000.00 2015
151 Estonia 1,311,000.00 2015
152 Swaziland 1,287,000.00 2015
153 Mauritius 1,265,000.00 2015
154 Timor-Leste 1,239,000.00 2015
155 Cyprus 1,165,000.00 2015
156 Fiji 892,000.00 2015
157 Djibouti 888,000.00 2015
158 Equatorial Guinea 845,000.00 2015
159 Comoros 788,000.00 2015
160 Bhutan 775,000.00 2015
161 Guyana 767,000.00 2015
162 Montenegro 622,000.00 2015
163 Macao SAR, China 588,000.00 2015
164 Solomon Islands 584,000.00 2015
165 Luxembourg 565,000.00 2015
166 Suriname 543,000.00 2015
167 Cabo Verde 521,000.00 2015
168 Malta 428,000.00 2015
169 Brunei 423,000.00 2015
170 The Bahamas 388,000.00 2015
171 Belize 359,000.00 2015
172 Iceland 330,000.00 2015
173 Barbados 284,000.00 2015
174 New Caledonia 269,000.00 2015
175 Vanuatu 265,000.00 2015
176 Samoa 193,000.00 2015
177 São Tomé and Principe 190,000.00 2015
178 St. Lucia 185,000.00 2015
179 Kiribati 112,000.00 2015
180 St. Vincent and the Grenadines 109,000.00 2015
181 Grenada 107,000.00 2015
182 Tonga 106,000.00 2015
183 Seychelles 92,000.00 2015
183 Antigua and Barbuda 92,000.00 2015
185 Dominica 73,000.00 2015
186 Andorra 70,000.00 2015
187 Cayman Islands 60,000.00 2015
188 Greenland 56,295.00 2014
189 St. Kitts and Nevis 56,000.00 2015
190 Monaco 38,000.00 2015
190 Liechtenstein 38,000.00 2015
192 San Marino 32,000.00 2015
193 Palau 21,000.00 2015
194 Tuvalu 10,000.00 2015

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Development Relevance: Increases in human population, whether a result of immigration or more births than deaths, can place pressures on the country's sustainability through impacts on many natural resources and social infrastructure. A significant increase in population will negatively impact availability of land for agricultural production, and will put increased demands on food, energy, water, social services, and infrastructure. On the other hand, decreasing population size - a result of fewer births than deaths, and people moving out of a country - can impact government's commitment to maintain services and infrastructure.

Limitations and Exceptions: Current population estimates for developing countries that lack reliable recent census data and pre- and post-census estimates for countries with census data are provided by the United Nations Population Division and other agencies. The cohort component method - a standard method for estimating and projecting population - requires fertility, mortality, and net migration data, often collected from sample surveys, which can be small or limited in coverage. Population estimates are from demographic modeling and so are susceptible to biases and errors from shortcomings in the model and in the data. In the UN estimates, because the five-year age group is the cohort unit and five-year period data are used, interpolations to obtain annual data or single age structure may not reflect actual events or age composition. Because future trends cannot be known with certainty, population projections have a wide range of uncertainty.

Statistical Concept and Methodology: Population estimates are usually based on national population censuses. Estimates for the years before and after the census are interpolations or extrapolations based on demographic models. Errors and undercounting occur even in high-income countries; in developing countries errors may be substantial because of limits in the transport, communications, and other resources required to conduct and analyze a full census. The quality and reliability of official demographic data are also affected by public trust in the government, government commitment to full and accurate enumeration, confidentiality and protection against misuse of census data, and census agencies' independence from political influence. Moreover, comparability of population indicators is limited by differences in the concepts, definitions, collection procedures, and estimation methods used by national statistical agencies and other organizations that collect the data. The currentness of a census and the availability of complementary data from surveys or registration systems are objective ways to judge demographic data quality. Some European countries' registration systems offer complete information on population in the absence of a census. International migration is the only other factor besides birth and death rates that directly determines a country's population growth. Estimating migration is difficult. At any time many people are located outside their home country as tourists, workers, or refugees or for other reasons. Standards for the duration and purpose of international moves that qualify as migration vary, and estimates require information on flows into and out of countries that is difficult to collect. Errors and undercounting occur even in high-income countries; in developing countries errors may be substantial because of limits in the transport, communications, and other resources required to conduct and analyze a full census. The quality and reliability of official demographic data are also affected by public trust in the government, government commitment to full and accurate enumeration, confidentiality and protection against misuse of census data, and census agencies' independence from political influence. Moreover, comparability of population indicators is limited by differences in the concepts, definitions, collection procedures, and estimation methods used by national statistical agencies and other organizations that collect the data. The currentness of a census and the availability of complementary data from surveys or registration systems are objective ways to judge demographic data quality. Some European countries' registration systems offer complete information on population in the absence of a census. The United Nations Statistics Division monitors the completeness of vital registration systems. Some developing countries have made progress over the last 60 years, but others still have deficiencies in civil registration systems. Population projections, starting from a base year (most recent year that ends with 0 or 5), are projected forward using five-year period assumptions of mortality, fertility, and migration by age and sex through 2050, based on the UN Population Division's World Population Prospects database medium variant.

Aggregation method: Sum

Periodicity: Annual

General Comments: Relevance to gender indicator: disaggregating the population composition by gender will help a country in projecting its demand for social services on a gender basis.