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 20,203.53 2016
2 Monaco 19,249.50 2016
3 Singapore 7,908.72 2016
4 Hong Kong SAR, China 6,996.86 2016
5 Bahrain 1,848.47 2016
6 Malta 1,365.46 2016
7 Bangladesh 1,251.84 2016
8 Barbados 662.78 2016
9 Nauru 652.45 2016
10 Mauritius 622.40 2016
11 Lebanon 587.16 2016
12 San Marino 553.38 2016
13 Korea 525.70 2016
14 Netherlands 505.15 2016
15 Rwanda 483.08 2016
16 India 445.37 2016
17 Comoros 427.51 2016
18 Burundi 409.82 2016
19 Israel 394.97 2016
20 Haiti 393.59 2016
21 Puerto Rico 384.59 2016
22 Belgium 374.77 2016
23 Tuvalu 369.90 2016
24 Japan 348.35 2016
25 Philippines 346.51 2016
26 Sri Lanka 338.11 2016
27 Grenada 315.64 2016
28 El Salvador 306.21 2016
29 Vietnam 298.97 2016
30 St. Lucia 291.83 2016
31 St. Vincent and the Grenadines 281.14 2016
32 United Kingdom 271.31 2016
33 Trinidad and Tobago 266.07 2016
34 Jamaica 266.05 2016
35 Cayman Islands 253.19 2016
36 Pakistan 250.63 2016
37 Germany 236.94 2016
38 Liechtenstein 235.41 2016
39 Antigua and Barbuda 229.46 2016
40 Kuwait 227.42 2016
41 Luxembourg 225.09 2016
42 Qatar 221.34 2016
43 Dominican Republic 220.43 2016
44 Switzerland 211.87 2016
45 St. Kitts and Nevis 210.85 2016
46 Dem. People's Rep. Korea 210.69 2016
47 São Tomé and Principe 208.24 2016
48 Uganda 206.90 2016
49 Italy 206.03 2016
50 Seychelles 205.82 2016
51 Nigeria 204.21 2016
52 Nepal 202.18 2016
53 The Gambia 201.43 2016
54 Malawi 191.89 2016
55 Andorra 164.43 2016
56 Guatemala 154.74 2016
57 Tonga 148.78 2016
58 China 146.85 2016
59 Indonesia 144.14 2016
60 Kiribati 141.23 2016
61 Togo 139.85 2016
62 Czech Republic 136.79 2016
63 Denmark 135.61 2016
64 Thailand 134.79 2016
65 Cabo Verde 133.89 2016
66 Cyprus 126.64 2016
67 Ghana 123.96 2016
68 Poland 123.94 2016
69 Moldova 123.56 2016
70 France 122.17 2016
71 Azerbaijan 118.10 2016
72 Slovak Republic 112.90 2016
73 Portugal 112.71 2016
74 United Arab Emirates 110.88 2016
75 Cuba 110.32 2016
76 Hungary 108.45 2016
77 Jordan 106.51 2016
78 Austria 106.00 2016
79 Albania 104.97 2016
80 Turkey 103.31 2016
81 Armenia 102.73 2016
82 Slovenia 102.52 2016
83 Sierra Leone 102.47 2016
84 Ethiopia 102.40 2016
85 Syrian Arab Republic 100.37 2016
86 Dominica 98.06 2016
87 Benin 96.42 2016
88 Egypt 96.13 2016
89 Costa Rica 95.13 2016
90 Malaysia 94.92 2016
91 Spain 92.85 2016
92 Cambodia 89.30 2016
93 Iraq 85.66 2016
94 Romania 85.65 2016
95 Timor-Leste 85.32 2016
96 Kenya 85.15 2016
97 Greece 83.37 2016
98 Macedonia 82.52 2016
99 Honduras 81.44 2016
100 Myanmar 80.98 2016
101 Serbia 80.69 2016
102 Brunei 80.30 2016
103 Senegal 80.05 2016
104 Morocco 79.04 2016
105 Swaziland 78.09 2016
106 Ukraine 77.69 2016
107 Uzbekistan 74.87 2016
108 Croatia 74.53 2016
109 Côte d'Ivoire 74.52 2016
110 Tunisia 73.40 2016
111 Lesotho 72.59 2016
112 Ireland 69.29 2016
113 Samoa 68.95 2016
114 Bosnia and Herzegovina 68.69 2016
115 Burkina Faso 68.15 2016
116 Ecuador 65.97 2016
117 Bulgaria 65.66 2016
118 Mexico 65.61 2016
119 Georgia 64.96 2016
120 Guinea-Bissau 64.57 2016
121 Tajikistan 62.94 2016
122 Tanzania 62.74 2016
123 Panama 54.27 2016
124 Afghanistan 53.08 2016
125 Yemen 52.25 2016
126 Nicaragua 51.10 2016
127 Guinea 50.45 2016
128 Cameroon 49.58 2016
129 Iran 49.29 2016
130 Fiji 49.19 2016
131 Liberia 47.90 2016
132 Belarus 46.85 2016
133 Palau 46.75 2016
134 Montenegro 46.30 2016
135 South Africa 46.09 2016
136 Lithuania 45.85 2016
137 Eritrea 44.30 2011
138 Colombia 43.85 2016
139 Equatorial Guinea 43.55 2016
140 Madagascar 42.79 2016
141 Zimbabwe 41.75 2016
142 Djibouti 40.65 2016
143 The Bahamas 39.08 2016
144 Mozambique 36.66 2016
145 Venezuela 35.79 2016
146 United States 35.32 2016
147 Dem. Rep. Congo 34.73 2016
148 Kyrgyz Republic 31.71 2016
149 Latvia 31.53 2016
150 Estonia 31.06 2016
151 Lao PDR 29.28 2016
152 Brazil 24.84 2016
153 Peru 24.82 2016
154 Sweden 24.31 2016
155 Chile 24.09 2016
156 Angola 23.11 2016
157 Somalia 22.82 2016
158 Sudan 22.69 2016
159 Zambia 22.32 2016
160 Vanuatu 22.18 2016
161 Solomon Islands 21.42 2016
162 Bhutan 20.93 2016
163 Uruguay 19.68 2016
164 Finland 18.08 2016
165 Papua New Guinea 17.85 2016
166 New Zealand 17.82 2016
167 Algeria 17.05 2016
168 Paraguay 16.93 2016
169 Niger 16.32 2016
170 Belize 16.09 2016
171 Argentina 16.02 2016
172 New Caledonia 15.21 2016
173 Saudi Arabia 15.01 2016
174 Congo 15.01 2016
175 Mali 14.75 2016
176 Norway 14.33 2016
177 Oman 14.30 2016
178 Turkmenistan 12.05 2016
179 Chad 11.48 2016
180 Bolivia 10.05 2016
181 Russia 8.81 2016
182 Gabon 7.68 2016
183 Central African Republic 7.38 2016
184 Kazakhstan 6.59 2016
185 Mauritania 4.17 2016
186 Canada 3.99 2016
187 Botswana 3.97 2016
188 Guyana 3.93 2016
189 Suriname 3.58 2016
190 Libya 3.58 2016
191 Iceland 3.33 2016
192 Australia 3.14 2016
193 Namibia 3.01 2016
194 Mongolia 1.95 2016
195 Greenland 0.14 2016

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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