100+ datasets found
  1. Highest population density by country 2024

    • statista.com
    Updated May 27, 2025
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    Statista (2025). Highest population density by country 2024 [Dataset]. https://www.statista.com/statistics/264683/top-fifty-countries-with-the-highest-population-density/
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    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    World
    Description

    Monaco led the ranking for countries with the highest population density in 2024, with nearly 26,000 residents per square kilometer. The Special Administrative Region of Macao came in second, followed by Singapore. The world’s second smallest country Monaco is the world’s second-smallest country, with an area of about two square kilometers and a population of only around 40,000. It is a constitutional monarchy located by the Mediterranean Sea, and while Monaco is not part of the European Union, it does participate in some EU policies. The country is perhaps most famous for the Monte Carlo casino and for hosting the Monaco Grand Prix, the world's most prestigious Formula One race. The global population Globally, the population density per square kilometer is about 60 inhabitants, and Asia is the most densely populated region in the world. The global population is increasing rapidly, so population density is only expected to increase. In 1950, for example, the global population stood at about 2.54 billion people, and it reached over eight billion during 2023.

  2. Population density in the U.S. 2023, by state

    • statista.com
    Updated Dec 3, 2024
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    Statista (2024). Population density in the U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/183588/population-density-in-the-federal-states-of-the-us/
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    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, Washington, D.C. had the highest population density in the United States, with 11,130.69 people per square mile. As a whole, there were about 94.83 residents per square mile in the U.S., and Alaska was the state with the lowest population density, with 1.29 residents per square mile. The problem of population density Simply put, population density is the population of a country divided by the area of the country. While this can be an interesting measure of how many people live in a country and how large the country is, it does not account for the degree of urbanization, or the share of people who live in urban centers. For example, Russia is the largest country in the world and has a comparatively low population, so its population density is very low. However, much of the country is uninhabited, so cities in Russia are much more densely populated than the rest of the country. Urbanization in the United States While the United States is not very densely populated compared to other countries, its population density has increased significantly over the past few decades. The degree of urbanization has also increased, and well over half of the population lives in urban centers.

  3. a

    Top 10 Countries with Highest Population Density

    • academicblock.com
    Updated May 3, 2025
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    Academic Block (2025). Top 10 Countries with Highest Population Density [Dataset]. https://www.academicblock.com/world-affairs/geopolitics/countries-with-highest-population-density
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    Dataset updated
    May 3, 2025
    Dataset authored and provided by
    Academic Block
    Time period covered
    2024
    Area covered
    Global
    Variables measured
    Country, Urban Population in 2023, Estimated Urbanization Rate (2020-2025), Population Density per square kilometer, Population Density in 2000 per square kilometer, Population Density in 2024 per square kilometer, Population Density in 2050 per square kilometer
    Description

    This dataset presents information on the top 10 countries with the highest population density, including variables such as country name, population, land area, and population density.

  4. Projected population density of most densely populated countries 2023-2050

    • statista.com
    Updated May 28, 2025
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    Statista (2025). Projected population density of most densely populated countries 2023-2050 [Dataset]. https://www.statista.com/statistics/912425/global-population-density-by-select-country/
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    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    As of July 2023, Monaco is the country with the highest population density worldwide, with an estimated population of nearly ****** per square kilometer.

  5. G

    Population density in South America | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 13, 2020
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    Globalen LLC (2020). Population density in South America | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/population_density/South-America/
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    xml, csv, excelAvailable download formats
    Dataset updated
    May 13, 2020
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1961 - Dec 31, 2021
    Area covered
    South America, World
    Description

    The average for 2021 based on 12 countries was 25 people per square km. The highest value was in Ecuador: 72 people per square km and the lowest value was in Guyana: 4 people per square km. The indicator is available from 1961 to 2021. Below is a chart for all countries where data are available.

  6. Cities with the highest population density globally 2023

    • ai-chatbox.pro
    • statista.com
    Updated May 27, 2025
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    Statista (2025). Cities with the highest population density globally 2023 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F1237290%2Fcities-highest-population-density%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    World
    Description

    Mogadishu in Somalia led the ranking of cities with the highest population density in 2023, with ****** residents per square kilometer. When it comes to countries, Monaco is the most densely populated state worldwide.

  7. Population Density Tables

    • ons.gov.uk
    • cy.ons.gov.uk
    zip
    Updated Jun 25, 2015
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    Office for National Statistics (2015). Population Density Tables [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationestimates/datasets/populationdensitytables
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    zipAvailable download formats
    Dataset updated
    Jun 25, 2015
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    The following estimates have been superseded by our revised mid-2002 to mid-2010 population estimates for the UK released on 17th December 2013

  8. G

    Population density in Sub Sahara Africa | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 12, 2021
    + more versions
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    Globalen LLC (2021). Population density in Sub Sahara Africa | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/population_density/Sub-Sahara-Africa/
    Explore at:
    csv, excel, xmlAvailable download formats
    Dataset updated
    Feb 12, 2021
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1961 - Dec 31, 2021
    Area covered
    Africa, World
    Description

    The average for 2021 based on 47 countries was 119 people per square km. The highest value was in Mauritius: 634 people per square km and the lowest value was in Namibia: 3 people per square km. The indicator is available from 1961 to 2021. Below is a chart for all countries where data are available.

  9. G

    Population density in the European union | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 13, 2020
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    Globalen LLC (2020). Population density in the European union | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/population_density/European-union/
    Explore at:
    csv, excel, xmlAvailable download formats
    Dataset updated
    May 13, 2020
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1961 - Dec 31, 2021
    Area covered
    World, European Union
    Description

    The average for 2021 based on 27 countries was 187 people per square km. The highest value was in Malta: 1620 people per square km and the lowest value was in Finland: 18 people per square km. The indicator is available from 1961 to 2021. Below is a chart for all countries where data are available.

  10. c

    Caribbean Population Density Estimate 2016

    • caribbeangeoportal.com
    • data.amerigeoss.org
    Updated Mar 19, 2020
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    Caribbean GeoPortal (2020). Caribbean Population Density Estimate 2016 [Dataset]. https://www.caribbeangeoportal.com/maps/028703e025e34e819a75cc24dbe782f7
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    Dataset updated
    Mar 19, 2020
    Dataset authored and provided by
    Caribbean GeoPortal
    Area covered
    Description

    This map features the World Population Density Estimate 2016 layer for the Caribbean region. The advantage population density affords over raw counts is the ability to compare levels of persons per square kilometer anywhere in the world. Esri calculated density by converting the the World Population Estimate 2016 layer to polygons, then added an attribute for geodesic area, which allowed density to be derived, and that was converted back to raster. A population density raster is better to use for mapping and visualization than a raster of raw population counts because raster cells are square and do not account for area. For instance, compare a cell with 185 people in northern Quito, Ecuador, on the equator to a cell with 185 people in Edmonton, Canada at 53.5 degrees north latitude. This is difficult because the area of the cell in Edmonton is only 35.5% of the area of a cell in Quito. The cell in Edmonton represents a density of 9,810 persons per square kilometer, while the cell in Quito only represents a density of 3,485 persons per square kilometer. Dataset SummaryEach cell in this layer has an integer value with the estimated number of people per square kilometer likely to live in the geographic region represented by that cell. Esri additionally produced several additional layers: World Population Estimate 2016: this layer contains estimates of the count of people living within the the area represented by the cell. World Population Estimate Confidence 2016: the confidence level (1-5) per cell for the probability of people being located and estimated correctly. World Settlement Score 2016: the dasymetric likelihood surface used to create this layer by apportioning population from census polygons to the settlement score raster.To use this layer in analysis, there are several properties or geoprocessing environment settings that should be used:Coordinate system: WGS_1984. This service and its underlying data are WGS_1984. We do this because projecting population count data actually will change the populations due to resampling and either collapsing or splitting cells to fit into another coordinate system. Cell Size: 0.0013474728 degrees (approximately 150-meters) at the equator. No Data: -1Bit Depth: 32-bit signedThis layer has query, identify, pixel, and export image functions enabled, and is restricted to a maximum analysis size of 30,000 x 30,000 pixels - an area about the size of Africa.Frye, C. et al., (2018). Using Classified and Unclassified Land Cover Data to Estimate the Footprint of Human Settlement. Data Science Journal. 17, p.20. DOI: https://doi.org/10.5334/dsj-2018-020.What can you do with this layer?This layer is primarily intended for cartography and visualization, but may also be useful for analysis, particularly for estimating where people living above specified densities. There are two processing templates defined for this layer: the default, "World Population Estimated 2016 Density Classes" uses a classification, described above, to show locations of levels of rural and urban populations, and should be used for cartography and visualization; and "None," which provides access to the unclassified density values, and should be used for analysis. The breaks for the classes are at the following levels of persons per square kilometer:100 - Rural (3.2% [0.7%] of all people live at this density or lower) 400 - Settled (13.3% [4.1%] of all people live at this density or lower)1,908 - Urban (59.4% [81.1%] of all people live at this density or higher)16,978 - Heavy Urban (13.0% [24.2%] of all people live at this density or higher)26,331 - Extreme Urban (7.8% [15.4%] of all people live at this density or higher) Values over 50,000 are likely to be erroneous due to spatial inaccuracies in source boundary dataNote the above class breaks were derived from Esri's 2015 estimate, which have been maintained for the sake of comparison. The 2015 percentages are in gray brackets []. The differences are mostly due to improvements in the model and source data. While improvements in the source data will continue, it is hoped the 2017 estimate will produce percentages that shift less.For analysis, Esri recommends using the Zonal Statistics tool or the Zonal Statistics to Table tool where you provide input zones as either polygons, or raster data, and the tool will summarize the average, highest, or lowest density within those zones.

  11. Population Density Around the Globe

    • covid19.esriuk.com
    • directrelief.hub.arcgis.com
    • +3more
    Updated Feb 14, 2015
    + more versions
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    Urban Observatory by Esri (2015). Population Density Around the Globe [Dataset]. https://covid19.esriuk.com/maps/fb393372ef8347b19491f3eb8c859a82
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    Dataset updated
    Feb 14, 2015
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Description

    Census data reveals that population density varies noticeably from area to area. Small area census data do a better job depicting where the crowded neighborhoods are. In this map, the yellow areas of highest density range from 30,000 to 150,000 persons per square kilometer. In those areas, if the people were spread out evenly across the area, there would be just 4 to 9 meters between them. Very high density areas exceed 7,000 persons per square kilometer. High density areas exceed 5,200 persons per square kilometer. The last categories break at 3,330 persons per square kilometer, and 1,500 persons per square kilometer.This dataset is comprised of multiple sources. All of the demographic data are from Michael Bauer Research with the exception of the following countries:Australia: Esri Australia and MapData ServicesCanada: Esri Canada and EnvironicsFrance: Esri FranceGermany: Esri Germany and NexigaIndia: Esri India and IndicusJapan: Esri JapanSouth Korea: Esri Korea and OPENmateSpain: Esri España and AISUnited States: Esri Demographics

  12. R

    Population Density Dataset

    • universe.roboflow.com
    zip
    Updated Feb 10, 2023
    + more versions
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    tech university of korea (2023). Population Density Dataset [Dataset]. https://universe.roboflow.com/tech-university-of-korea-p4vos/population-density-wbe93
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    zipAvailable download formats
    Dataset updated
    Feb 10, 2023
    Dataset authored and provided by
    tech university of korea
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Crowd People Bounding Boxes
    Description

    Population Density

    ## Overview
    
     Population Density is a dataset for object detection tasks - it contains Crowd People annotations for 2,581 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  13. G

    Canada's Population Density

    • open.canada.ca
    • gimi9.com
    • +1more
    jpg, pdf
    Updated Mar 14, 2022
    + more versions
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    Natural Resources Canada (2022). Canada's Population Density [Dataset]. https://open.canada.ca/data/en/dataset/11325935-3af3-543e-80d4-8cf6cb4900e2
    Explore at:
    jpg, pdfAvailable download formats
    Dataset updated
    Mar 14, 2022
    Dataset provided by
    Natural Resources Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Contained within the Atlas of Canada Poster Map Series, is a poster showing population density across Canada. There is a relief base to the map on top of which is shown all populated areas of Canada where the population density is great than 0.4 persons per square kilometer. This area is then divided into five colour classes of population density based on Statistics Canada's census divisions.

  14. Population Density

    • covid19.esriuk.com
    Updated Feb 14, 2015
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    Urban Observatory by Esri (2015). Population Density [Dataset]. https://covid19.esriuk.com/datasets/UrbanObservatory::population-density-around-the-globe-1?layer=3
    Explore at:
    Dataset updated
    Feb 14, 2015
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Description

    Census data reveals that population density varies noticeably from area to area. Small area census data do a better job depicting where the crowded neighborhoods are. In this map, the yellow areas of highest density range from 30,000 to 150,000 persons per square kilometer. In those areas, if the people were spread out evenly across the area, there would be just 4 to 9 meters between them. Very high density areas exceed 7,000 persons per square kilometer. High density areas exceed 5,200 persons per square kilometer. The last categories break at 3,330 persons per square kilometer, and 1,500 persons per square kilometer.This dataset is comprised of multiple sources. All of the demographic data are from Michael Bauer Research with the exception of the following countries:Australia: Esri Australia and MapData ServicesCanada: Esri Canada and EnvironicsFrance: Esri FranceGermany: Esri Germany and NexigaIndia: Esri India and IndicusJapan: Esri JapanSouth Korea: Esri Korea and OPENmateSpain: Esri España and AISUnited States: Esri Demographics

  15. M

    Mexico Population Density

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Mexico Population Density [Dataset]. https://www.macrotrends.net/global-metrics/countries/mex/mexico/population-density
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Mexico
    Description
    Mexico population density for 2022 was 66.16, a 0.76% increase from 2021.
    <ul style='margin-top:20px;'>
    
    <li>Mexico population density for 2021 was <strong>65.66</strong>, a <strong>0.67% increase</strong> from 2020.</li>
    <li>Mexico population density for 2020 was <strong>65.23</strong>, a <strong>0.82% increase</strong> from 2019.</li>
    <li>Mexico population density for 2019 was <strong>64.69</strong>, a <strong>0.95% increase</strong> from 2018.</li>
    </ul>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.
    
  16. T

    Singapore - Population Density (people Per Sq. Km)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
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    TRADING ECONOMICS (2017). Singapore - Population Density (people Per Sq. Km) [Dataset]. https://tradingeconomics.com/singapore/population-density-people-per-sq-km-wb-data.html
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    May 28, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Singapore
    Description

    Population density (people per sq. km of land area) in Singapore was reported at 7851 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Singapore - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

  17. Population density APAC 2023, by country

    • statista.com
    • ai-chatbox.pro
    Updated Jan 3, 2025
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    Statista (2025). Population density APAC 2023, by country [Dataset]. https://www.statista.com/statistics/640612/asia-pacific-population-density-by-country/
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    Dataset updated
    Jan 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Asia–Pacific
    Description

    In 2023, there were around 8,129 inhabitants per square kilometer living in Singapore. In comparison, there were approximately two inhabitants per square kilometer living in Mongolia that year.

  18. M

    Iceland Population Density

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Iceland Population Density [Dataset]. https://www.macrotrends.net/global-metrics/countries/ISL/iceland/population-density
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Iceland
    Description
    Iceland population density for 2022 was 3.79, a 2.55% increase from 2021.
    <ul style='margin-top:20px;'>
    
    <li>Iceland population density for 2021 was <strong>3.69</strong>, a <strong>1.65% increase</strong> from 2020.</li>
    <li>Iceland population density for 2020 was <strong>3.63</strong>, a <strong>1.64% increase</strong> from 2019.</li>
    <li>Iceland population density for 2019 was <strong>3.58</strong>, a <strong>2.22% increase</strong> from 2018.</li>
    </ul>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.
    
  19. M

    India Population Density

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). India Population Density [Dataset]. https://www.macrotrends.net/global-metrics/countries/ind/india/population-density
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    India
    Description
    India population density for 2022 was 479.43, a 0.79% increase from 2021.
    <ul style='margin-top:20px;'>
    
    <li>India population density for 2021 was <strong>475.65</strong>, a <strong>0.83% increase</strong> from 2020.</li>
    <li>India population density for 2020 was <strong>471.76</strong>, a <strong>0.98% increase</strong> from 2019.</li>
    <li>India population density for 2019 was <strong>467.19</strong>, a <strong>1.05% increase</strong> from 2018.</li>
    </ul>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.
    
  20. f

    Covariate selection ratio of RFE models.

    • plos.figshare.com
    xls
    Updated Nov 12, 2024
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    Corentin Visée; Camille Morlighem; Catherine Linard; Abdoulaye Faty; Sabine Henry; Sébastien Dujardin (2024). Covariate selection ratio of RFE models. [Dataset]. http://doi.org/10.1371/journal.pone.0310809.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Nov 12, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Corentin Visée; Camille Morlighem; Catherine Linard; Abdoulaye Faty; Sabine Henry; Sébastien Dujardin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Knowing where people are is crucial for policymakers, particularly for the efficient allocation of resources in their country and the development of effective, people-centred policies. However, rural population distribution maps suffer from biases related to the type of dataset used to predict population density, such as the use of nighttime lights datasets in areas without electricity. This renders widely used datasets irrelevant in rural areas and biases nationwide models towards urban areas. To compensate for such biases, we aim at understanding the importance and relationship between water-related covariates and population densities in a random forest model across the urban-rural gradient. By extending a recursive feature elimination framework, we show that commonly used covariates are only selected when modelling the whole country. However, once the highest density areas are removed, water-related characteristics (especially distance to boreholes) become important covariates of population density outside of densely populated areas. This has important implications for modelling population in rural areas, including for a better estimation of the size of remote communities. When seeking to produce country-level population maps, we encourage further studies to explicitly account for rural areas by considering the urban-rural gradient and encourage the use of water-related datasets.

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Statista (2025). Highest population density by country 2024 [Dataset]. https://www.statista.com/statistics/264683/top-fifty-countries-with-the-highest-population-density/
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Highest population density by country 2024

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14 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 27, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
World
Description

Monaco led the ranking for countries with the highest population density in 2024, with nearly 26,000 residents per square kilometer. The Special Administrative Region of Macao came in second, followed by Singapore. The world’s second smallest country Monaco is the world’s second-smallest country, with an area of about two square kilometers and a population of only around 40,000. It is a constitutional monarchy located by the Mediterranean Sea, and while Monaco is not part of the European Union, it does participate in some EU policies. The country is perhaps most famous for the Monte Carlo casino and for hosting the Monaco Grand Prix, the world's most prestigious Formula One race. The global population Globally, the population density per square kilometer is about 60 inhabitants, and Asia is the most densely populated region in the world. The global population is increasing rapidly, so population density is only expected to increase. In 1950, for example, the global population stood at about 2.54 billion people, and it reached over eight billion during 2023.

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