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 19,073.07 2014
2 Monaco 18,811.50 2014
3 Singapore 7,736.53 2014
4 Hong Kong SAR, China 6,896.86 2014
5 Bahrain 1,768.74 2014
6 Malta 1,335.51 2014
7 Bangladesh 1,222.08 2014
8 Barbados 659.02 2014
9 Mauritius 621.15 2014
10 San Marino 526.58 2014
11 Korea 517.35 2014
12 Netherlands 500.89 2014
13 Rwanda 459.73 2014
14 Lebanon 444.45 2014
15 India 435.66 2014
16 Burundi 421.22 2014
17 Comoros 413.75 2014
18 Puerto Rico 400.04 2014
19 Haiti 383.60 2014
20 Israel 379.65 2014
21 Belgium 370.91 2014
22 Japan 348.73 2014
23 Philippines 332.49 2014
24 Sri Lanka 331.22 2014
25 Tuvalu 329.77 2014
26 Grenada 312.79 2014
27 St. Lucia 301.06 2014
28 El Salvador 294.77 2014
29 Vietnam 292.61 2014
30 St. Vincent and the Grenadines 280.41 2014
31 United Kingdom 266.85 2014
32 Trinidad and Tobago 264.03 2014
33 Jamaica 251.21 2014
34 Cayman Islands 246.55 2014
35 Pakistan 240.04 2014
36 Liechtenstein 233.04 2014
37 Germany 232.31 2014
38 Dominican Republic 215.35 2014
39 Luxembourg 214.80 2014
40 St. Kitts and Nevis 211.32 2014
41 Kuwait 210.61 2014
42 Dem. People's Rep. Korea 207.85 2014
43 Switzerland 207.21 2014
44 Italy 206.67 2014
45 Antigua and Barbuda 206.59 2014
46 Seychelles 200.88 2014
47 Nepal 196.55 2014
48 Nigeria 194.86 2014
49 São Tomé and Principe 194.11 2014
50 The Gambia 190.53 2014
51 Uganda 188.43 2014
52 Qatar 187.09 2014
53 Malawi 177.08 2014
54 Andorra 154.86 2014
55 Guatemala 149.45 2014
56 Tonga 146.65 2014
57 China 145.32 2014
58 Indonesia 140.46 2014
59 Kiribati 136.38 2014
60 Czech Republic 136.29 2014
61 Denmark 132.89 2014
62 Thailand 132.56 2014
63 Togo 130.82 2014
64 Cabo Verde 127.52 2014
65 Cyprus 124.85 2014
66 Poland 124.14 2014
67 Moldova 123.84 2014
68 France 120.93 2014
69 Syrian Arab Republic 120.67 2014
70 Ghana 117.72 2014
71 Azerbaijan 115.35 2014
72 Portugal 113.55 2014
73 Slovak Republic 112.68 2014
74 Hungary 108.95 2014
75 United Arab Emirates 108.69 2014
76 Cuba 106.90 2014
77 Albania 105.64 2014
78 Armenia 105.59 2014
79 Austria 103.55 2014
80 Slovenia 102.38 2014
81 Turkey 98.66 2014
82 Ethiopia 96.96 2014
83 Dominica 96.45 2014
84 Benin 93.99 2014
85 Costa Rica 93.18 2014
86 Spain 92.91 2014
87 Malaysia 91.01 2014
88 Egypt 89.99 2014
89 Sierra Leone 87.50 2014
90 Cambodia 86.84 2014
91 Romania 86.53 2014
92 Greece 84.33 2014
93 Macedonia 82.30 2014
94 Myanmar 81.82 2014
95 Serbia 81.52 2014
96 Timor-Leste 81.51 2014
97 Iraq 80.15 2014
98 Brunei 79.20 2014
99 Kenya 78.83 2014
100 Georgia 78.80 2014
101 Ukraine 78.30 2014
102 Senegal 76.21 2014
103 Morocco 76.01 2014
104 Croatia 75.74 2014
105 Bosnia and Herzegovina 74.56 2014
106 Jordan 74.42 2014
107 Swaziland 73.79 2014
108 Uzbekistan 72.30 2014
109 Honduras 71.16 2014
110 Tunisia 70.78 2014
111 Côte d'Ivoire 69.68 2014
112 Lesotho 69.47 2014
113 Samoa 67.79 2014
114 Ireland 67.00 2014
115 Bulgaria 66.54 2014
116 Mexico 64.50 2014
117 Burkina Faso 64.29 2014
118 Ecuador 64.03 2014
119 Guinea-Bissau 64.03 2014
120 Tajikistan 59.27 2014
121 Tanzania 58.50 2014
122 Panama 52.02 2014
123 Eritrea 50.60 2014
124 Nicaragua 49.97 2014
125 Guinea 49.96 2014
126 Yemen 49.59 2014
127 Fiji 48.52 2014
128 Afghanistan 48.44 2014
129 Cameroon 48.18 2014
130 Iran 47.98 2014
131 Lithuania 46.79 2014
132 Belarus 46.67 2014
133 Montenegro 46.23 2014
134 Palau 45.86 2014
135 Liberia 45.65 2014
136 South Africa 44.52 2014
137 Colombia 43.07 2014
138 Madagascar 40.52 2014
139 Zimbabwe 39.41 2014
140 The Bahamas 38.27 2014
141 Djibouti 37.80 2014
142 United States 34.86 2014
143 Venezuela 34.80 2014
144 Mozambique 34.61 2014
145 Dem. Rep. Congo 33.03 2014
146 Latvia 32.06 2014
147 Estonia 31.01 2014
148 Kyrgyz Republic 30.42 2014
149 Equatorial Guinea 29.27 2014
150 Lao PDR 28.98 2014
151 Brazil 24.66 2014
152 Peru 24.20 2014
153 Chile 23.89 2014
154 Sweden 23.80 2014
155 Sudan 21.57 2014
156 Vanuatu 21.24 2014
157 Zambia 21.15 2014
158 Solomon Islands 20.44 2014
159 Bhutan 20.07 2014
160 Uruguay 19.54 2014
161 Angola 19.43 2014
162 Finland 17.97 2014
163 New Zealand 17.13 2014
164 Somalia 16.77 2014
165 Paraguay 16.49 2014
166 Papua New Guinea 16.48 2014
167 Algeria 16.35 2014
168 Argentina 15.71 2014
169 Belize 15.42 2014
170 Niger 15.09 2014
171 New Caledonia 14.55 2014
172 Saudi Arabia 14.37 2014
173 Norway 14.06 2014
174 Mali 14.00 2014
175 Oman 13.69 2014
176 Congo 13.19 2014
177 Turkmenistan 11.29 2014
178 Chad 10.79 2014
179 Bolivia 9.75 2014
180 Russia 8.78 2014
181 Central African Republic 7.71 2014
182 Gabon 6.55 2014
183 Kazakhstan 6.40 2014
184 Botswana 3.92 2014
185 Canada 3.91 2014
186 Guyana 3.88 2014
187 Mauritania 3.85 2014
188 Libya 3.56 2014
189 Suriname 3.45 2014
190 Iceland 3.27 2014
191 Australia 3.06 2014
192 Namibia 2.92 2014
193 Mongolia 1.87 2014
194 Greenland 0.14 2014

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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