Population density (people per sq. km of land area) - Country Ranking

Definition: Population density is midyear population divided by land area in square kilometers. 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. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.

Source: Food and Agriculture Organization and World Bank population estimates.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Macao SAR, China 20,777.50 2018
2 Monaco 19,196.00 2017
3 Singapore 7,953.00 2018
4 Hong Kong SAR, China 7,096.19 2018
5 Bahrain 2,017.27 2018
6 Malta 1,511.03 2018
7 Bangladesh 1,239.58 2018
8 Lebanon 669.49 2018
9 Barbados 666.61 2018
10 Nauru 635.20 2018
11 Mauritius 623.30 2018
12 San Marino 563.08 2018
13 Korea 529.65 2018
14 Netherlands 511.46 2018
15 Rwanda 498.66 2018
16 India 454.94 2018
17 Comoros 447.24 2018
18 Burundi 435.18 2018
19 Israel 410.53 2018
20 Haiti 403.60 2018
21 Tuvalu 383.60 2018
22 Belgium 377.21 2018
23 Puerto Rico 360.22 2018
24 Philippines 357.69 2018
25 Japan 347.07 2018
26 Sri Lanka 345.56 2018
27 Grenada 327.81 2018
28 El Salvador 309.88 2018
29 Vietnam 308.13 2018
30 St. Lucia 298.18 2018
31 St. Vincent and the Grenadines 282.59 2018
32 Pakistan 275.29 2018
33 United Kingdom 274.83 2018
34 Jamaica 270.99 2018
35 Trinidad and Tobago 270.93 2018
36 Cayman Islands 267.39 2018
37 Luxembourg 250.09 2018
38 Qatar 239.59 2018
39 Germany 237.37 2018
40 Liechtenstein 236.94 2018
41 Kuwait 232.17 2018
42 The Gambia 225.31 2018
43 Dominican Republic 219.98 2018
44 São Tomé and Principe 219.82 2018
45 Antigua and Barbuda 218.83 2018
46 Switzerland 215.52 2018
47 Nigeria 215.07 2018
48 Uganda 213.06 2018
49 Dem. People's Rep. Korea 212.19 2018
50 Seychelles 210.35 2018
51 Italy 205.45 2018
52 St. Kitts and Nevis 201.70 2018
53 Nepal 195.94 2018
54 Malawi 192.44 2018
55 Andorra 163.84 2018
56 Guatemala 160.95 2018
57 China 148.35 2018
58 Indonesia 147.75 2018
59 Togo 145.05 2018
60 Tonga 143.33 2018
61 Kiribati 143.02 2018
62 Denmark 138.07 2018
63 Czech Republic 137.60 2018
64 Thailand 135.90 2018
65 United Arab Emirates 135.61 2018
66 Cabo Verde 134.93 2018
67 Ghana 130.82 2018
68 Cyprus 128.71 2018
69 Poland 124.04 2018
70 Moldova 123.52 2018
71 France 122.34 2018
72 Azerbaijan 120.27 2018
73 Slovak Republic 113.29 2018
74 Portugal 112.24 2018
75 Jordan 112.14 2018
76 Ethiopia 109.22 2018
77 Cuba 109.00 2018
78 Hungary 107.91 2018
79 Austria 107.21 2018
80 Turkey 106.96 2018
81 Sierra Leone 105.99 2018
82 Albania 104.61 2018
83 Armenia 103.68 2018
84 Slovenia 102.64 2018
85 Benin 101.85 2018
86 Egypt 98.87 2018
87 Costa Rica 97.91 2018
88 Malaysia 95.96 2018
89 Dominica 95.50 2018
90 Spain 93.53 2018
91 Syrian Arab Republic 92.07 2018
92 Cambodia 92.06 2018
93 Kenya 90.30 2018
94 Iraq 88.53 2018
95 Honduras 85.69 2018
96 Timor-Leste 85.27 2018
97 Romania 84.64 2018
98 Greece 83.22 2018
99 North Macedonia 82.59 2018
100 Senegal 82.35 2018
101 Myanmar 82.24 2018
102 Brunei 81.40 2018
103 Morocco 80.73 2018
104 Serbia 79.83 2018
105 Côte d'Ivoire 78.83 2018
106 Uzbekistan 77.47 2018
107 Ukraine 77.03 2018
108 Tunisia 74.44 2018
109 Croatia 73.08 2018
110 Burkina Faso 72.19 2018
111 Ireland 70.45 2018
112 Lesotho 69.44 2018
113 Samoa 69.30 2018
114 Ecuador 68.79 2018
115 Guinea-Bissau 66.65 2018
116 Eswatini 66.06 2018
117 Tajikistan 65.57 2018
118 Georgia 65.28 2018
119 Bosnia and Herzegovina 64.92 2018
120 Mexico 64.91 2018
121 Bulgaria 64.70 2018
122 Tanzania 63.58 2018
123 Afghanistan 56.94 2018
124 Panama 56.19 2018
125 Yemen 53.98 2018
126 Nicaragua 53.73 2018
127 Cameroon 53.34 2018
128 Guinea 50.52 2018
129 Iran 50.22 2018
130 Liberia 50.03 2018
131 Fiji 48.36 2018
132 South Africa 47.63 2018
133 Belarus 46.73 2018
134 Equatorial Guinea 46.67 2018
135 Montenegro 46.27 2018
136 Madagascar 45.14 2018
137 Colombia 44.75 2018
138 Lithuania 44.53 2018
139 Djibouti 41.37 2018
140 Palau 38.93 2018
141 The Bahamas 38.53 2018
142 Mozambique 37.51 2018
143 Zimbabwe 37.32 2018
144 Dem. Rep. Congo 37.08 2018
145 United States 35.77 2018
146 Kyrgyz Republic 32.93 2018
147 Venezuela 32.73 2018
148 Eritrea 31.82 2011
149 Latvia 30.98 2018
150 Lao PDR 30.60 2018
151 Estonia 30.39 2018
152 Chile 25.19 2018
153 Brazil 25.06 2018
154 Sweden 25.00 2018
155 Peru 24.99 2018
156 Angola 24.71 2018
157 Vanuatu 24.01 2018
158 Somalia 23.92 2018
159 Zambia 23.34 2018
160 Solomon Islands 23.32 2018
161 Bhutan 19.78 2018
162 Uruguay 19.71 2018
163 Papua New Guinea 19.00 2018
164 New Zealand 18.55 2018
165 Finland 18.16 2018
166 Algeria 17.73 2018
167 Niger 17.72 2018
168 Paraguay 17.51 2018
169 Belize 16.79 2018
170 Argentina 16.26 2018
171 Saudi Arabia 15.68 2018
172 Mali 15.64 2018
173 Oman 15.60 2018
174 New Caledonia 15.54 2018
175 Congo 15.36 2018
176 Norway 14.55 2018
177 Turkmenistan 12.45 2018
178 Chad 12.29 2018
179 Bolivia 10.48 2018
180 Russia 8.82 2018
181 Gabon 8.22 2018
182 Central African Republic 7.49 2018
183 Kazakhstan 6.77 2018
184 Mauritania 4.27 2018
185 Canada 4.08 2018
186 Botswana 3.98 2018
187 Guyana 3.96 2018
188 Libya 3.80 2018
189 Suriname 3.69 2018
190 Iceland 3.53 2018
191 Australia 3.25 2018
192 Namibia 2.97 2018
193 Mongolia 2.04 2018
194 Greenland 0.14 2018

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Development Relevance: 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 conducting and analyzing a full census. Population density is a measure of the intensity of land-use, and can be calculated for a block, city, county, state, country, continent or the entire world. Considering that over half of the Earth's land mass consists of areas inhospitable to human inhabitation, such as deserts and high mountains, and that population tends to cluster around seaports and fresh water sources, a simple number of population density by itself does not give any meaningful measurement of human population density. Several of the most densely populated territories in the world are city-states, microstates, or dependencies.[6][7] These territories share a relatively small area and a high urbanization level, with an economically specialized city population drawing also on rural resources outside the area, illustrating the difference between high population density and overpopulation.

Limitations and Exceptions: Current population estimates for developing countries that lack 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. 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. 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.

Statistical Concept and Methodology: Population density is midyear population divided by land area in square kilometers. This ratio can be calculated for any territorial unit for any point in time, depending on the source of the population data. Populationestimates are prepared by World Bank staff from variety of sources. They are based on the de facto definition of population and include all residents regardless of legal status or citizenship, within the physical boundaries of a country and under the jurisdiction of that country's political control. Refugees not permanently settled in the country of asylum are considered part of the population of their country of origin. Population numbers are either current census data or historical census data extrapolated through demographic methods. The count also excludes visitors from overseas. Population density is calculated by dividing midyear population by land area in a country. 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. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.

Aggregation method: Weighted average

Periodicity: Annual