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 19,736.84 2020
2 Singapore 8,019.47 2020
3 Hong Kong SAR, China 7,125.52 2020
4 Bahrain 2,181.52 2020
5 Bangladesh 1,265.19 2020
6 Lebanon 667.20 2020
7 Korea 531.54 2020
8 India 464.15 2020
9 Israel 425.84 2020
10 Philippines 367.51 2020
11 Sri Lanka 354.31 2020
12 Japan 345.23 2020
13 Vietnam 313.92 2020
14 Pakistan 286.55 2020
15 Qatar 250.75 2020
16 Kuwait 239.65 2020
17 Dem. People's Rep. Korea 214.09 2020
18 Nepal 203.26 2020
19 China 149.71 2020
20 Indonesia 145.68 2020
21 United Arab Emirates 139.26 2020
22 Thailand 136.62 2020
23 Azerbaijan 122.11 2020
24 Jordan 114.93 2020
25 Turkey 109.58 2020
26 Armenia 104.08 2020
27 Malaysia 98.51 2020
28 Syrian Arab Republic 95.30 2020
29 Cambodia 94.71 2020
30 Iraq 92.65 2020
31 Timor-Leste 88.66 2020
32 Myanmar 83.35 2020
33 Brunei 83.01 2020
34 Uzbekistan 77.70 2020
35 Tajikistan 68.72 2020
36 Georgia 65.13 2020
37 Afghanistan 59.63 2020
38 Yemen 56.49 2020
39 Iran 51.57 2020
40 Kyrgyz Republic 34.31 2020
41 Lao PDR 31.52 2020
42 Bhutan 20.23 2020
43 Oman 16.50 2020
44 Saudi Arabia 16.19 2020
45 Turkmenistan 12.83 2020
46 Russia 8.80 2020
47 Kazakhstan 6.95 2020
48 Mongolia 2.11 2020

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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