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

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 Singapore 7,953.00 2018
3 Hong Kong SAR, China 7,096.19 2018
4 Bahrain 2,017.27 2018
5 Bangladesh 1,239.58 2018
6 Lebanon 669.49 2018
7 Korea 529.65 2018
8 India 454.94 2018
9 Israel 410.53 2018
10 Philippines 357.69 2018
11 Japan 347.07 2018
12 Sri Lanka 345.56 2018
13 Vietnam 308.13 2018
14 Pakistan 275.29 2018
15 Qatar 239.59 2018
16 Kuwait 232.17 2018
17 Dem. People's Rep. Korea 212.19 2018
18 Nepal 195.94 2018
19 China 148.35 2018
20 Indonesia 147.75 2018
21 Thailand 135.90 2018
22 United Arab Emirates 135.61 2018
23 Azerbaijan 120.27 2018
24 Jordan 112.14 2018
25 Turkey 106.96 2018
26 Armenia 103.68 2018
27 Malaysia 95.96 2018
28 Syrian Arab Republic 92.07 2018
29 Cambodia 92.06 2018
30 Iraq 88.53 2018
31 Timor-Leste 85.27 2018
32 Myanmar 82.24 2018
33 Brunei 81.40 2018
34 Uzbekistan 77.47 2018
35 Tajikistan 65.57 2018
36 Georgia 65.28 2018
37 Afghanistan 56.94 2018
38 Yemen 53.98 2018
39 Iran 50.22 2018
40 Kyrgyz Republic 32.93 2018
41 Lao PDR 30.60 2018
42 Bhutan 19.78 2018
43 Saudi Arabia 15.68 2018
44 Oman 15.60 2018
45 Turkmenistan 12.45 2018
46 Russia 8.82 2018
47 Kazakhstan 6.77 2018
48 Mongolia 2.04 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