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. The values shown are midyear estimates.

Source: (1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Popu

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 China 1,392,730,000.00 2018
2 India 1,352,617,000.00 2018
3 United States 327,167,400.00 2018
4 Indonesia 267,663,400.00 2018
5 Pakistan 212,215,000.00 2018
6 Brazil 209,469,300.00 2018
7 Nigeria 195,874,700.00 2018
8 Bangladesh 161,356,000.00 2018
9 Russia 144,478,000.00 2018
10 Japan 126,529,100.00 2018
11 Mexico 126,190,800.00 2018
12 Ethiopia 109,224,600.00 2018
13 Philippines 106,651,900.00 2018
14 Egypt 98,423,590.00 2018
15 Vietnam 95,540,390.00 2018
16 Dem. Rep. Congo 84,068,090.00 2018
17 Germany 82,927,920.00 2018
18 Turkey 82,319,730.00 2018
19 Iran 81,800,270.00 2018
20 Thailand 69,428,530.00 2018
21 France 66,987,240.00 2018
22 United Kingdom 66,488,990.00 2018
23 Italy 60,431,280.00 2018
24 South Africa 57,779,620.00 2018
25 Tanzania 56,318,350.00 2018
26 Myanmar 53,708,400.00 2018
27 Korea 51,635,260.00 2018
28 Kenya 51,393,010.00 2018
29 Colombia 49,648,680.00 2018
30 Spain 46,723,750.00 2018
31 Ukraine 44,622,520.00 2018
32 Argentina 44,494,500.00 2018
33 Uganda 42,723,140.00 2018
34 Algeria 42,228,430.00 2018
35 Sudan 41,801,530.00 2018
36 Iraq 38,433,600.00 2018
37 Poland 37,978,550.00 2018
38 Afghanistan 37,172,380.00 2018
39 Canada 37,058,860.00 2018
40 Morocco 36,029,140.00 2018
41 Saudi Arabia 33,699,950.00 2018
42 Uzbekistan 32,955,400.00 2018
43 Peru 31,989,260.00 2018
44 Malaysia 31,528,580.00 2018
45 Angola 30,809,760.00 2018
46 Ghana 29,767,110.00 2018
47 Mozambique 29,495,960.00 2018
48 Venezuela 28,870,200.00 2018
49 Yemen 28,498,690.00 2018
50 Nepal 28,087,870.00 2018
51 Madagascar 26,262,370.00 2018
52 Dem. People's Rep. Korea 25,549,820.00 2018
53 Cameroon 25,216,240.00 2018
54 Côte d'Ivoire 25,069,230.00 2018
55 Australia 24,992,370.00 2018
56 Niger 22,442,950.00 2018
57 Sri Lanka 21,670,000.00 2018
58 Burkina Faso 19,751,540.00 2018
59 Romania 19,473,940.00 2018
60 Mali 19,077,690.00 2018
61 Chile 18,729,160.00 2018
62 Kazakhstan 18,276,500.00 2018
63 Malawi 18,143,320.00 2018
64 Zambia 17,351,820.00 2018
65 Guatemala 17,247,810.00 2018
66 Netherlands 17,231,020.00 2018
67 Ecuador 17,084,360.00 2018
68 Syrian Arab Republic 16,906,280.00 2018
69 Cambodia 16,249,800.00 2018
70 Senegal 15,854,360.00 2018
71 Chad 15,477,750.00 2018
72 Somalia 15,008,150.00 2018
73 Zimbabwe 14,439,020.00 2018
74 Guinea 12,414,320.00 2018
75 Rwanda 12,301,940.00 2018
76 Tunisia 11,565,200.00 2018
77 Benin 11,485,050.00 2018
78 Belgium 11,422,070.00 2018
79 Bolivia 11,353,140.00 2018
80 Cuba 11,338,140.00 2018
81 Burundi 11,175,380.00 2018
82 Haiti 11,123,180.00 2018
83 Greece 10,727,670.00 2018
84 Dominican Republic 10,627,170.00 2018
85 Czech Republic 10,625,700.00 2018
86 Portugal 10,281,760.00 2018
87 Sweden 10,183,180.00 2018
88 Jordan 9,956,011.00 2018
89 Azerbaijan 9,942,334.00 2018
90 Hungary 9,768,785.00 2018
91 United Arab Emirates 9,630,959.00 2018
92 Honduras 9,587,522.00 2018
93 Belarus 9,485,386.00 2018
94 Tajikistan 9,100,837.00 2018
95 Israel 8,883,800.00 2018
96 Austria 8,847,037.00 2018
97 Papua New Guinea 8,606,316.00 2018
98 Switzerland 8,516,543.00 2018
99 Togo 7,889,094.00 2018
100 Sierra Leone 7,650,154.00 2018
101 Hong Kong SAR, China 7,451,000.00 2018
102 Lao PDR 7,061,507.00 2018
103 Bulgaria 7,024,216.00 2018
104 Serbia 6,982,084.00 2018
105 Paraguay 6,956,071.00 2018
106 Lebanon 6,848,925.00 2018
107 Libya 6,678,567.00 2018
108 Nicaragua 6,465,513.00 2018
109 El Salvador 6,420,744.00 2018
110 Kyrgyz Republic 6,315,800.00 2018
111 Turkmenistan 5,850,908.00 2018
112 Denmark 5,797,446.00 2018
113 Singapore 5,638,676.00 2018
114 Finland 5,518,050.00 2018
115 Slovak Republic 5,447,011.00 2018
116 Norway 5,314,336.00 2018
117 Congo 5,244,363.00 2018
118 Costa Rica 4,999,441.00 2018
119 New Zealand 4,885,500.00 2018
120 Ireland 4,853,506.00 2018
121 Oman 4,829,483.00 2018
122 Liberia 4,818,977.00 2018
123 Central African Republic 4,666,377.00 2018
124 Mauritania 4,403,319.00 2018
125 Panama 4,176,873.00 2018
126 Kuwait 4,137,309.00 2018
127 Croatia 4,089,400.00 2018
128 Georgia 3,731,000.00 2018
129 Moldova 3,545,883.00 2018
130 Uruguay 3,449,299.00 2018
131 Bosnia and Herzegovina 3,323,929.00 2018
132 Eritrea 3,213,972.00 2011
133 Puerto Rico 3,195,153.00 2018
134 Mongolia 3,170,208.00 2018
135 Armenia 2,951,776.00 2018
136 Jamaica 2,934,855.00 2018
137 Albania 2,866,376.00 2018
138 Lithuania 2,789,533.00 2018
139 Qatar 2,781,677.00 2018
140 Namibia 2,448,255.00 2018
141 The Gambia 2,280,102.00 2018
142 Botswana 2,254,126.00 2018
143 Gabon 2,119,275.00 2018
144 Lesotho 2,108,132.00 2018
145 North Macedonia 2,082,958.00 2018
146 Slovenia 2,067,372.00 2018
147 Latvia 1,926,542.00 2018
148 Guinea-Bissau 1,874,309.00 2018
149 Bahrain 1,569,439.00 2018
150 Trinidad and Tobago 1,389,858.00 2018
151 Estonia 1,320,884.00 2018
152 Equatorial Guinea 1,308,974.00 2018
153 Timor-Leste 1,267,972.00 2018
154 Mauritius 1,265,303.00 2018
155 Cyprus 1,189,265.00 2018
156 Eswatini 1,136,191.00 2018
157 Djibouti 958,920.00 2018
158 Fiji 883,483.00 2018
159 Comoros 832,322.00 2018
160 Guyana 779,004.00 2018
161 Bhutan 754,394.00 2018
162 Solomon Islands 652,858.00 2018
163 Macao SAR, China 631,636.00 2018
164 Montenegro 622,345.00 2018
165 Luxembourg 607,728.00 2018
166 Suriname 575,991.00 2018
167 Cabo Verde 543,767.00 2018
168 Malta 483,530.00 2018
169 Brunei 428,962.00 2018
170 The Bahamas 385,640.00 2018
171 Belize 383,071.00 2018
172 Iceland 353,574.00 2018
173 Vanuatu 292,680.00 2018
174 Barbados 286,641.00 2018
175 New Caledonia 284,060.00 2018
176 São Tomé and Principe 211,028.00 2018
177 Samoa 196,130.00 2018
178 St. Lucia 181,889.00 2018
179 Kiribati 115,847.00 2018
180 Grenada 111,454.00 2018
181 St. Vincent and the Grenadines 110,210.00 2018
182 Tonga 103,197.00 2018
183 Seychelles 96,762.00 2018
184 Antigua and Barbuda 96,286.00 2018
185 Andorra 77,006.00 2018
186 Dominica 71,625.00 2018
187 Cayman Islands 64,174.00 2018
188 Greenland 56,025.00 2018
189 St. Kitts and Nevis 52,441.00 2018
190 Monaco 38,682.00 2018
191 Liechtenstein 37,910.00 2018
192 San Marino 33,785.00 2018
193 Palau 17,907.00 2018
194 Nauru 12,704.00 2018
195 Tuvalu 11,508.00 2018

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Development Relevance: Increases in human population, whether as a result of immigration or more births than deaths, can impact natural resources and social infrastructure. This can place pressure on a country's sustainability. A significant growth in population will negatively impact the availability of land for agricultural production, and will aggravate demand for 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 a government's commitment to maintain services and infrastructure.

Limitations and Exceptions: Current population estimates for developing countries that lack (i) reliable recent census data, and (ii) 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 both the model and the data. In the UN estimates the five-year age group is the cohort unit and five-year period data are used; therefore 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. 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. 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. Population projections, starting from a base year are projected forward using 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.