Skip to content
Human Geography

World Population Density Map: Country Data and Downloads

World map shaded by latest available World Bank population density, with disputed source areas hatched.


Population density maps are useful only when the year, denominator and coverage are clear. This resource makes those details visible alongside the colors.

How to use this article: Check the source inputs, reproduce the unit conversion, or inspect the data vintage before comparing places.

Maps fit the screen by default. Select 2× or 4× for details, swipe or scroll within the map, and choose Fit / Reset for the full view.

1. World Density Map and Downloads

World choropleth showing population density by country or economy in five land-area density classes.
World Bank latest available observations, mostly 2024. Grey areas have no exact matched value; hatching masks source-defined disputed areas rather than assigning a density. Open printable PDF. Open full-size map.

Map key: people per square mile of land

  • Very light yellow: under 25
  • Light green: 25 to under 100
  • Medium green: 100 to under 250
  • Dark green: 250 to under 1,000
  • Deep green: 1,000 or more
  • Grey: no exact matched data
  • Hatched grey: source-defined disputed area; no density assigned

Download the complete density data (CSV). Each row records the source economy, reference year and both units. The source contains 217 nonaggregate economies, not 217 sovereign countries. Of those, 216 have observations in this extract: 214 for 2024, Nicaragua for 2023 and Channel Islands for 2021. No observation was returned for Kosovo.

The map is a visual index to that dataset, not a count of countries. It uses an exact identifier match to generalized Natural Earth polygons. Channel Islands and Gibraltar do not have exact matching polygons in this layer; their values remain available in the table and CSV. Some territories are separate source economies, while political boundaries and statistical reporting areas do not always coincide.

2. Read the Colors Without Losing the Year

The five classes are editorial display choices: under 25; 25 to under 100; 100 to under 250; 250 to under 1,000; and 1,000 or more people per square mile. They are not World Bank categories or thresholds for overcrowding. A darker color means a larger national or territorial average in this dataset, not that every part of the place is densely settled.

The same class covers a range of values. A place close to a class boundary can have a different color from another with a very similar density. Use the table for numerical comparison rather than estimating a ratio from the shade.

Enlarged European density map using the same five classes and disputed-area masks.
Regional detail improves visibility but does not make tiny territories large enough for every value to be read from the image. Open printable PDF. Open full-size map.

Map key: people per square mile of land

  • Very light yellow: under 25
  • Light green: 25 to under 100
  • Medium green: 100 to under 250
  • Dark green: 250 to under 1,000
  • Deep green: 1,000 or more
  • Grey: no exact matched data
  • Hatched grey: source-defined disputed area; no density assigned

Large countries can dominate a world map visually even when their averages are low. Very small, densely populated economies may barely be visible. That is a map-scale limitation, not evidence that their populations are missing from the dataset.

3. Country and Economy Values

Values below are rounded to one decimal place for display. The CSV retains the unrounded numerical values returned by the source and the calculated unit conversion. Names follow the source, so this is a statistical reference rather than an endorsement of any disputed status.

Open the complete alphabetical density table
World Bank latest available economy observations
Country/economyYearPeople/sq miPeople/km²
Afghanistan2024169.465.4
Albania2024224.786.8
Algeria202450.919.7
American Samoa2024608.6235.0
Andorra2024453.5175.1
Angola202478.730.4
Antigua and Barbuda2024551.6213.0
Argentina202443.216.7
Armenia2024278.6107.6
Aruba20241,553.9600.0
Australia20249.23.5
Austria2024288.1111.2
Azerbaijan2024319.7123.4
Bahamas, The2024103.840.1
Bahrain20245,143.31,985.8
Bangladesh20243,453.41,333.4
Barbados20241,697.4655.4
Belarus2024116.545.0
Belgium20241,007.2388.9
Belize202447.418.3
Benin2024332.2128.3
Bermuda20243,100.11,197.0
Bhutan202453.820.8
Bolivia202429.611.4
Bosnia and Herzegovina2024160.161.8
Botswana202411.54.4
Brazil202465.725.4
British Virgin Islands2024677.0261.4
Brunei Darussalam2024227.487.8
Bulgaria2024153.759.3
Burkina Faso2024222.986.1
Burundi20241,416.8547.0
Cabo Verde2024337.3130.2
Cambodia2024258.899.9
Cameroon2024159.661.6
Canada202412.24.7
Cayman Islands2024803.5310.2
Central African Republic202422.28.6
Chad202441.816.1
Channel Islands20212,181.1842.1
Chile202469.026.6
China2024388.7150.1
Colombia2024123.547.7
Comoros20241,200.5463.5
Congo, Dem. Rep.2024124.848.2
Congo, Rep.202448.018.5
Costa Rica2024262.8101.5
Cote d’Ivoire2024260.1100.4
Croatia2024178.969.1
Cuba2024274.0105.8
Curacao2024909.8351.3
Cyprus2024380.7147.0
Czechia2024366.1141.3
Denmark2024387.0149.4
Djibouti2024130.650.4
Dominica2024228.388.2
Dominican Republic2024614.1237.1
Ecuador2024189.173.0
Egypt, Arab Rep.2024303.2117.1
El Salvador2024792.3305.9
Equatorial Guinea2024174.767.5
Eritrea202475.829.3
Estonia202483.232.1
Eswatini2024187.172.3
Ethiopia2024304.8117.7
Faroe Islands2024103.339.9
Fiji2024131.250.7
Finland202447.918.5
France2024329.4127.2
French Polynesia2024207.380.0
Gabon202425.59.9
Gambia, The2024706.4272.7
Georgia2024172.866.7
Germany2024619.0239.0
Ghana2024391.9151.3
Gibraltar202410,186.23,932.9
Greece2024209.180.7
Greenland20240.40.1
Grenada2024882.5340.7
Guam2024803.2310.1
Guatemala2024444.9171.8
Guinea2024155.560.0
Guinea-Bissau2024202.878.3
Guyana202410.23.9
Haiti20241,106.3427.2
Honduras2024250.696.8
Hong Kong SAR, China202418,559.47,165.8
Hungary2024271.4104.8
Iceland20249.93.8
India20241,263.9488.0
Indonesia2024388.0149.8
Iran, Islamic Rep.2024146.256.4
Iraq2024274.7106.1
Ireland2024202.978.3
Isle of Man2024380.8147.0
Israel20241,197.1462.2
Italy2024516.3199.4
Jamaica2024679.0262.2
Japan2024880.9340.1
Jordan2024337.0130.1
Kazakhstan202419.87.6
Kenya2024251.697.2
Kiribati2024429.6165.9
Korea, Dem. People’s Rep.2024570.0220.1
Korea, Rep.20241,373.3530.2
Kosovo—No dataNo data
Kuwait2024711.8274.8
Kyrgyz Republic202497.537.7
Lao PDR202487.233.7
Latvia202477.730.0
Lebanon20241,469.9567.5
Lesotho2024199.477.0
Liberia2024150.958.3
Libya202410.94.2
Liechtenstein2024654.8252.8
Lithuania2024119.546.1
Luxembourg2024681.1263.0
Macao SAR, China202453,433.120,630.6
Madagascar2024142.354.9
Malawi2024594.9229.7
Malaysia2024280.3108.2
Maldives20244,587.21,771.1
Mali202452.020.1
Malta20244,674.91,805.0
Marshall Islands2024537.3207.4
Mauritania202413.05.0
Mauritius20241,613.3622.9
Mexico2024174.467.3
Micronesia, Fed. Sts.2024418.1161.4
Moldova2024216.383.5
Monaco202448,010.518,536.9
Mongolia20245.92.3
Montenegro2024120.146.4
Morocco2024221.085.3
Mozambique2024114.144.0
Myanmar2024216.383.5
Namibia20249.53.7
Naoero20241,473.5568.9
Nepal2024535.7206.8
Netherlands20241,384.1534.4
New Caledonia202440.815.8
New Zealand202452.020.1
Nicaragua2023146.956.7
Niger202455.321.3
Nigeria2024661.7255.5
North Macedonia2024187.472.3
Northern Mariana Islands2024250.996.9
Norway202439.615.3
Oman202444.217.1
Pakistan2024844.2326.0
Palau202499.638.5
Panama2024157.760.9
Papua New Guinea202460.523.4
Paraguay202445.317.5
Peru202469.226.7
Philippines20241,006.3388.5
Poland2024309.4119.4
Portugal2024302.4116.7
Puerto Rico (US)2024935.1361.1
Qatar2024644.2248.7
Romania2024214.582.8
Russian Federation202422.78.8
Rwanda20241,553.9599.9
Samoa2024203.178.4
San Marino20241,437.9555.2
Sao Tome and Principe2024635.5245.3
Saudi Arabia202442.516.4
Senegal2024248.996.1
Serbia2024194.875.2
Seychelles2024687.8265.5
Sierra Leone2024310.1119.7
Singapore202421,572.08,329.0
Sint Maarten (Dutch part)20243,302.21,275.0
Slovak Republic2024292.1112.8
Slovenia2024273.7105.7
Solomon Islands202475.829.3
Somalia, Fed. Rep.202478.530.3
South Africa2024136.752.8
South Sudan202449.018.9
Spain2024253.297.8
Sri Lanka2024917.6354.3
St. Kitts and Nevis2024464.8179.5
St. Lucia2024763.2294.7
St. Martin (French part)20241,276.9493.0
St. Vincent and the Grenadines2024669.9258.7
Sudan202469.927.0
Suriname202410.24.0
Sweden202467.226.0
Switzerland2024590.3227.9
Syrian Arab Republic2024348.0134.4
Tajikistan2024197.676.3
Tanzania2024200.977.6
Thailand2024363.3140.3
Timor-Leste2024244.094.2
Togo2024400.3154.6
Tonga2024374.7144.7
Trinidad and Tobago2024691.1266.8
Tunisia2024204.779.0
Turkiye2024287.8111.1
Turkmenistan202441.315.9
Turks and Caicos Islands2024127.149.1
Tuvalu2024960.9371.0
Uganda2024646.0249.4
Ukraine2024169.265.3
United Arab Emirates2024400.7154.7
United Kingdom2024741.7286.4
United States202496.337.2
Uruguay202450.119.4
Uzbekistan2024214.882.9
Vanuatu202469.626.9
Venezuela, RB202483.432.2
Viet Nam2024834.5322.2
Virgin Islands (U.S.)2024776.8299.9
West Bank and Gaza20242,273.7877.9
Yemen, Rep.2024199.176.9
Zambia202474.328.7
Zimbabwe2024111.443.0

4. Method, Units and Missing Data

Source inputs

World Bank indicator EN.POP.DNST divides midyear population by land area. The denominator excludes inland water, continental-shelf claims and exclusive economic zones. This article uses the published indicator rather than measuring country polygons and treating that cartographic area as the statistical denominator.

Unit conversion

To convert people per square kilometer to people per square mile, multiply by 2.589988110336. The land unit changes; the population and reporting territory do not. A square mile is larger than a square kilometer, so the numerical density per square mile is higher.

Data vintage and interpretation

The data request selects the most recent nonempty observation for each economy. That does not guarantee one common year. Regional and income-group aggregates are removed using the World Bank economy metadata; missing values are not changed to zero. The downloaded snapshot identifies its source update as October 8, 2026, but its observations are older. It is not a map of measured 2026 population density.

Population estimates and reporting coverage have limitations, especially during displacement or where census coverage is weak. World Bank metadata describes its population concept and treatment of refugees. The map cannot correct those underlying statistical limitations. It should not be used to infer the precise territorial extent of a population estimate from a shaded outline.

5. What This Map Cannot Tell You

National averages do not locate individual settlements, distinguish a crowded city from empty rural land, or measure housing conditions. Two places with the same average can have very different settlement patterns. Density is also not total population: a smaller place can have fewer residents but more people per unit of land.

For city-level planning, use a suitable local dataset with its own date and boundary definition. For a time comparison, retrieve the same indicator for a common set of years instead of comparing this mixed-year latest-value snapshot with an unrelated map. Do not compare land-area density with total-area density without accounting for the different denominator.

For the underlying concept and common denominator mistakes, see our population density explainer.

What Did We Learn Today?

The map compares land-area population density, not population totals. Most values are for 2024, but the year column matters. Exact numbers, missing data and tiny territories are easier to interpret in the table than through the colors alone.

Sources & Data Notes

Natural Earth lake surfaces are removed from the country display polygons so inland water is not colored as populated land. This affects only the picture, not the World Bank population-density values or their land-area denominator. Generalized lake and administrative outlines can differ slightly at shorelines.

Data: World Bank World Development Indicators, EN.POP.DNST (CC BY 4.0; unit conversions and map presentation by GeographyPin), downloaded November 11, 2026. Sources credited by the indicator include FAO and World Bank population estimates. Maps: public-domain Natural Earth 1:50 million country and disputed-area layers, Equal Earth projection for the world and EPSG: 3035 for the detail. Disputed areas are masked and not assigned map densities; the overlay is not an exhaustive contemporary legal-boundary statement. Numeric values remain source-defined economy averages. These are generalized reference maps, not boundary-survey products.

See something off?

Thanks for your feedback!
Share via
Copy link