100+ datasets found
  1. Cities with the highest population density globally 2023

    • statista.com
    • ai-chatbox.pro
    Updated May 27, 2025
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    Statista (2025). Cities with the highest population density globally 2023 [Dataset]. https://www.statista.com/statistics/1237290/cities-highest-population-density/
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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.

  2. Cities with the highest population density in Mexico 2023

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Cities with the highest population density in Mexico 2023 [Dataset]. https://www.statista.com/statistics/1473797/cities-highest-population-density-mexico/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Mexico
    Description

    Mexico City ranked as the most densely populated city in Mexico as of 2023. The capital recorded 8,657 inhabitants per square kilometer. Xalapa and Acapulco followed with 7,150 and 5,750 inhabitants per square kilometer, respectively.

  3. Cities with the highest population density in Latin America 2023

    • statista.com
    Updated Mar 3, 2025
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    Statista (2025). Cities with the highest population density in Latin America 2023 [Dataset]. https://www.statista.com/statistics/1473796/cities-highest-population-density-latam/
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    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    LAC, Latin America
    Description

    As of 2023, the top five most densely populated cities in Latin America and the Caribbean were in Colombia. The capital, Bogotá, ranked first with over 18,241 inhabitants per square kilometer.

  4. Italian cities with the highest population density 2024

    • statista.com
    Updated Feb 14, 2025
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    Statista (2025). Italian cities with the highest population density 2024 [Dataset]. https://www.statista.com/statistics/1128344/italian-cities-with-the-highest-population-density/
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    Dataset updated
    Feb 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Italy
    Description

    Naples is the Italian city with the highest population density. As of 2024, the largest south Italian city counts 7,800 inhabitants per square kilometer. Milan followed with 7,600 residents per square kilometer, whereas Rome, the largest Italian city, registered a population density of only 2,100 people, 5,700 inhabitants per square kilometer less than Naples.

  5. f

    Data from: Population Density in Nineteenth-Century American Urbanism

    • tandf.figshare.com
    7z
    Updated Oct 11, 2024
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    Celia Arsen; Gergely Baics; Leah Meisterlin (2024). Population Density in Nineteenth-Century American Urbanism [Dataset]. http://doi.org/10.6084/m9.figshare.26366998.v1
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    7zAvailable download formats
    Dataset updated
    Oct 11, 2024
    Dataset provided by
    Taylor & Francis
    Authors
    Celia Arsen; Gergely Baics; Leah Meisterlin
    License

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

    Area covered
    United States
    Description

    Population density and size are the most commonly used metrics for defining modern cities and urbanism. Yet unlike size, density has been overlooked in systematic analyses of the historical development of the U.S. urban system. Deploying large-scale geocoded census microdata on forty major cities in 1880, this article contributes to a systematic understanding of density in late-nineteenth-century U.S. urbanism. Methodologically, we make the case for a block-level, population-weighted density measure that reflects the experience of density and is transferable to other urban contexts. Thematically, we use this measure to compare density across cities, outlining regionally distinct patterns in density and identifying the built environment as a contributing factor to high- versus low-density urban development, and to explore density within cities across population subgroups, finding that immigrants, racial minorities, and lower class residents experienced higher densities at a time when high density increased exposure to health risks. Additionally, throughout the article we draw out preliminary findings worthy of future research about density conditions for particular cities, places, and demographic subgroups.

  6. 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.

  7. a

    Population Density (1 kilometer)

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jun 20, 2023
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    MapMaker (2023). Population Density (1 kilometer) [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/a0f3ad34d5ac48d1aa6a2c7fcfcefbbc
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    Dataset updated
    Jun 20, 2023
    Dataset authored and provided by
    MapMaker
    License

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

    Area covered
    Description

    In the last century, the global population has increased by billions of people. And it is still growing. Job opportunities in large cities have caused an influx of people to these already packed locations. This has resulted in an increase in population density for these cities, which are now forced to expand in order to accommodate the growing population. Population density is the average number of people per unit, usually miles or kilometers, of land area. Understanding and mapping population density is important. Experts can use this information to inform decisions around resource allocation, natural disaster relief, and new infrastructure projects. Infectious disease scientists use these maps to understand the spread of infectious disease, a topic that has become critical after the COVID-19 global pandemic.While a useful tool for decision and policymakers, it is important to understand the limitations of population density. Population density is most effective in small scale places—cities or neighborhoods—where people are evenly distributed. Whereas at a larger scale, such as the state, region, or province level, population density could vary widely as it includes a mix of urban, suburban, and rural places. All of these areas have a vastly different population density, but they are averaged together. This means urban areas could appear to have fewer people than they really do, while rural areas would seem to have more. Use this map to explore the estimated global population density (people per square kilometer) in 2020. Where do people tend to live? Why might they choose those places? Do you live in a place with a high population density or a low one?

  8. 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.

  9. Data from: Urban-rural continuum

    • figshare.com
    tiff
    Updated May 30, 2023
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    Andrea Cattaneo; Andy Nelson; Theresa McMenomy (2023). Urban-rural continuum [Dataset]. http://doi.org/10.6084/m9.figshare.12579572.v4
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    tiffAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Andrea Cattaneo; Andy Nelson; Theresa McMenomy
    License

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

    Description

    The urban–rural continuum classifies the global population, allocating rural populations around differently-sized cities. The classification is based on four dimensions: population distribution, population density, urban center location, and travel time to urban centers, all of which can be mapped globally and consistently and then aggregated as administrative unit statistics.Using spatial data, we matched all rural locations to their urban center of reference based on the time needed to reach these urban centers. A hierarchy of urban centers by population size (largest to smallest) is used to determine which center is the point of “reference” for a given rural location: proximity to a larger center “dominates” over a smaller one in the same travel time category. This was done for 7 urban categories and then aggregated, for presentation purposes, into “large cities” (over 1 million people), “intermediate cities” (250,000 –1 million), and “small cities and towns” (20,000–250,000).Finally, to reflect the diversity of population density across the urban–rural continuum, we distinguished between high-density rural areas with over 1,500 inhabitants per km2 and lower density areas. Unlike traditional functional area approaches, our approach does not define urban catchment areas by using thresholds, such as proportion of people commuting; instead, these emerge endogenously from our urban hierarchy and by calculating the shortest travel time.Urban-Rural Catchment Areas (URCA).tif is a raster dataset of the 30 urban–rural continuum categories for the urban–rural continuum showing the catchment areas around cities and towns of different sizes. Each rural pixel is assigned to one defined travel time category: less than one hour, one to two hours, and two to three hours travel time to one of seven urban agglomeration sizes. The agglomerations range from large cities with i) populations greater than 5 million and ii) between 1 to 5 million; intermediate cities with iii) 500,000 to 1 million and iv) 250,000 to 500,000 inhabitants; small cities with populations v) between 100,000 and 250,000 and vi) between 50,000 and 100,000; and vii) towns of between 20,000 and 50,000 people. The remaining pixels that are more than 3 hours away from any urban agglomeration of at least 20,000 people are considered as either hinterland or dispersed towns being that they are not gravitating around any urban agglomeration. The raster also allows for visualizing a simplified continuum created by grouping the seven urban agglomerations into 4 categories.Urban-Rural Catchment Areas (URCA).tif is in GeoTIFF format, band interleaved with LZW compression, suitable for use in Geographic Information Systems and statistical packages. The data type is byte, with pixel values ranging from 1 to 30. The no data value is 128. It has a spatial resolution of 30 arc seconds, which is approximately 1km at the equator. The spatial reference system (projection) is EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long). The geographic extent is 83.6N - 60S / 180E - 180W. The same tif file is also available as an ESRI ArcMap MapPackage Urban-Rural Catchment Areas.mpkFurther details are in the ReadMe_data_description.docx

  10. Biggest metropolitan areas in Italy 2024

    • ai-chatbox.pro
    • statista.com
    Updated Feb 14, 2025
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    Statista (2025). Biggest metropolitan areas in Italy 2024 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F1246028%2Fbiggest-metropolitan-areas-in-italy%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Feb 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Italy
    Description

    Rome is the largest Italian metropolitan area. As of 2024, the urban area of the capital city has a population of around 4.23 million people. Milan and Naples follow with 3.25 million and 2.97 million people, respectively. In terms of inhabitants per square kilometer, Naples, located in the south, has the highest population density. Rome, Milan, and Naples are also Italy's largest cities.

  11. Density of Population - 1951

    • datasets.ai
    • open.canada.ca
    • +1more
    22, 33
    Updated Aug 29, 2024
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    Natural Resources Canada | Ressources naturelles Canada (2024). Density of Population - 1951 [Dataset]. https://datasets.ai/datasets/d07683a8-d287-5ff8-b38d-b39236d762cc
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    33, 22Available download formats
    Dataset updated
    Aug 29, 2024
    Dataset provided by
    Ministry of Natural Resources of Canadahttps://www.nrcan.gc.ca/
    Authors
    Natural Resources Canada | Ressources naturelles Canada
    Description

    Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows the density of the Canadian population for 1951. The first map display Western provinces, while the second map concentrates on southern Ontario and the Maritimes. Only the most populous areas are covered. Population density is illustrated by denoting the number of inhabitants per square mile. It shows a significant difference in the population distribution across Canada, mainly in urban and metropolitan areas. The cities with greater inhabitants are clusters within Capital cities, and a even larger concentration south, near the U.S. border, in particular along ocean or inland coastlines.

  12. 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
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    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.

  13. T

    Vital Signs: Population – by city

    • data.bayareametro.gov
    Updated Oct 16, 2019
    + more versions
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    California Department of Finance (2019). Vital Signs: Population – by city [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Population-by-city/2jwr-z36f
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    application/rssxml, tsv, csv, application/rdfxml, xml, kmz, application/geo+json, kmlAvailable download formats
    Dataset updated
    Oct 16, 2019
    Dataset authored and provided by
    California Department of Finance
    Description

    VITAL SIGNS INDICATOR Population (LU1)

    FULL MEASURE NAME Population estimates

    LAST UPDATED October 2019

    DESCRIPTION Population is a measurement of the number of residents that live in a given geographical area, be it a neighborhood, city, county or region.

    DATA SOURCES U.S Census Bureau: Decennial Census No link available (1960-1990) http://factfinder.census.gov (2000-2010)

    California Department of Finance: Population and Housing Estimates Table E-6: County Population Estimates (1961-1969) Table E-4: Population Estimates for Counties and State (1971-1989) Table E-8: Historical Population and Housing Estimates (2001-2018) Table E-5: Population and Housing Estimates (2011-2019) http://www.dof.ca.gov/Forecasting/Demographics/Estimates/

    U.S. Census Bureau: Decennial Census - via Longitudinal Tract Database Spatial Structures in the Social Sciences, Brown University Population Estimates (1970 - 2010) http://www.s4.brown.edu/us2010/index.htm

    U.S. Census Bureau: American Community Survey 5-Year Population Estimates (2011-2017) http://factfinder.census.gov

    U.S. Census Bureau: Intercensal Estimates Estimates of the Intercensal Population of Counties (1970-1979) Intercensal Estimates of the Resident Population (1980-1989) Population Estimates (1990-1999) Annual Estimates of the Population (2000-2009) Annual Estimates of the Population (2010-2017) No link available (1970-1989) http://www.census.gov/popest/data/metro/totals/1990s/tables/MA-99-03b.txt http://www.census.gov/popest/data/historical/2000s/vintage_2009/metro.html https://www.census.gov/data/datasets/time-series/demo/popest/2010s-total-metro-and-micro-statistical-areas.html

    CONTACT INFORMATION vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator) All legal boundaries and names for Census geography (metropolitan statistical area, county, city, and tract) are as of January 1, 2010, released beginning November 30, 2010, by the U.S. Census Bureau. A Priority Development Area (PDA) is a locally-designated area with frequent transit service, where a jurisdiction has decided to concentrate most of its housing and jobs growth for development in the foreseeable future. PDA boundaries are current as of August 2019. For more information on PDA designation see http://gis.abag.ca.gov/website/PDAShowcase/.

    Population estimates for Bay Area counties and cities are from the California Department of Finance, which are as of January 1st of each year. Population estimates for non-Bay Area regions are from the U.S. Census Bureau. Decennial Census years reflect population as of April 1st of each year whereas population estimates for intercensal estimates are as of July 1st of each year. Population estimates for Bay Area tracts are from the decennial Census (1970 -2010) and the American Community Survey (2008-2012 5-year rolling average; 2010-2014 5-year rolling average; 2013-2017 5-year rolling average). Estimates of population density for tracts use gross acres as the denominator.

    Population estimates for Bay Area PDAs are from the decennial Census (1970 - 2010) and the American Community Survey (2006-2010 5 year rolling average; 2010-2014 5-year rolling average; 2013-2017 5-year rolling average). Population estimates for PDAs are derived from Census population counts at the tract level for 1970-1990 and at the block group level for 2000-2017. Population from either tracts or block groups are allocated to a PDA using an area ratio. For example, if a quarter of a Census block group lies with in a PDA, a quarter of its population will be allocated to that PDA. Tract-to-PDA and block group-to-PDA area ratios are calculated using gross acres. Estimates of population density for PDAs use gross acres as the denominator.

    Annual population estimates for metropolitan areas outside the Bay Area are from the Census and are benchmarked to each decennial Census. The annual estimates in the 1990s were not updated to match the 2000 benchmark.

    The following is a list of cities and towns by geographical area: Big Three: San Jose, San Francisco, Oakland Bayside: Alameda, Albany, Atherton, Belmont, Belvedere, Berkeley, Brisbane, Burlingame, Campbell, Colma, Corte Madera, Cupertino, Daly City, East Palo Alto, El Cerrito, Emeryville, Fairfax, Foster City, Fremont, Hayward, Hercules, Hillsborough, Larkspur, Los Altos, Los Altos Hills, Los Gatos, Menlo Park, Mill Valley, Millbrae, Milpitas, Monte Sereno, Mountain View, Newark, Pacifica, Palo Alto, Piedmont, Pinole, Portola Valley, Redwood City, Richmond, Ross, San Anselmo, San Bruno, San Carlos, San Leandro, San Mateo, San Pablo, San Rafael, Santa Clara, Saratoga, Sausalito, South San Francisco, Sunnyvale, Tiburon, Union City, Vallejo, Woodside Inland, Delta and Coastal: American Canyon, Antioch, Benicia, Brentwood, Calistoga, Clayton, Cloverdale, Concord, Cotati, Danville, Dixon, Dublin, Fairfield, Gilroy, Half Moon Bay, Healdsburg, Lafayette, Livermore, Martinez, Moraga, Morgan Hill, Napa, Novato, Oakley, Orinda, Petaluma, Pittsburg, Pleasant Hill, Pleasanton, Rio Vista, Rohnert Park, San Ramon, Santa Rosa, Sebastopol, Sonoma, St. Helena, Suisun City, Vacaville, Walnut Creek, Windsor, Yountville Unincorporated: all unincorporated towns

  14. 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.

  15. s

    Population Density Central America

    • spotzi.com
    csv
    Updated May 23, 2025
    + more versions
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    Spotzi. Location Intelligence Dashboards for Businesses. (2025). Population Density Central America [Dataset]. https://www.spotzi.com/en/data-catalog/datasets/population-density-central-america/
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    csvAvailable download formats
    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    Spotzi. Location Intelligence Dashboards for Businesses.
    License

    https://www.spotzi.com/en/about/terms-of-service/https://www.spotzi.com/en/about/terms-of-service/

    Time period covered
    2022
    Area covered
    Central America
    Description

    Our Population Density Grid Dataset for Central America offers detailed, grid-based insights into the distribution of population across cities, towns, and rural areas. Free to explore and visualize, this dataset provides an invaluable resource for businesses and researchers looking to understand demographic patterns and optimize their location-based strategies.

    By creating an account, you gain access to advanced tools for leveraging this data in geomarketing applications. Perfect for OOH advertising, retail planning, and more, our platform allows you to integrate population insights with your business intelligence, enabling you to make data-driven decisions for your marketing and expansion strategies.

  16. a

    Population Density (2000)

    • esri-california-office.hub.arcgis.com
    Updated Aug 31, 2016
    + more versions
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    The Nature Conservancy (2016). Population Density (2000) [Dataset]. https://esri-california-office.hub.arcgis.com/datasets/TNC::population-density-2000-1
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    Dataset updated
    Aug 31, 2016
    Dataset authored and provided by
    The Nature Conservancy
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    Description

    Human population density in 2000, by terrestrial ecoregion.

    We summarized human population density by ecoregion using the Gridded Population of the World database and projections for 2015 (CIESIN et al. 2005). The mean for each ecoregion was extracted using a zonal statistics algorithm.

    These data were derived by The Nature Conservancy, and were displayed in a map published in The Atlas of Global Conservation (Hoekstra et al., University of California Press, 2010). More information at http://nature.org/atlas.

    Data derived from:

    Center for International Earth Science Information Network (CIESIN), Columbia University; and Centro Internacional de Agricultura Tropical (CIAT). 2005. Gridded Population of the World Version 3 (GPWv3). Socioeconomic Data and Applications Center (SEDAC), Columbia University Palisades, New York. Available at http://sedac.ciesin.columbia.edu/gpw. Digital media.

    United Nations Population Division (UNPD). 2007. Global population, largest urban agglomerations and cities of largest change. World Urbanization Prospects: The 2007 Revision Population Database. Available at http://esa.un.org/unup/index.asp.

    For more about The Atlas of Global Conservation check out the web map (which includes links to download spatial data and view metadata) at http://maps.tnc.org/globalmaps.html. You can also read more detail about the Atlas at http://www.nature.org/science-in-action/leading-with-science/conservation-atlas.xml, or buy the book at http://www.ucpress.edu/book.php?isbn=9780520262560

  17. u

    Population Density, 2001 - Catalogue - Canadian Urban Data Catalogue (CUDC)

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Oct 1, 2024
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    (2024). Population Density, 2001 - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-a28cba15-b31b-5908-b6ec-b74703a70371
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    Dataset updated
    Oct 1, 2024
    License

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

    Area covered
    Canada
    Description

    Canada, with 3.33 people per square kilometre, has one of the lowest population densities in the world. In 2001, most of Canada's population of 30,007,094 lived within 200 kilometres of the United States (along Canada's south). In fact, the inhabitants of our three biggest cities -- Toronto, Montréal and Vancouver -- can drive to the border in less than two hours. Thousands of kilometres to the north, our polar region -- the Yukon, the Northwest Territories and Nunavut -- is relatively empty, embracing 41% of our land mass but only 0.3% of our population. An inset map shows in greater detail the Windsor-Québec Corridor where a high concentration of Canadians live.

  18. Largest cities in Africa 2024, by number of inhabitants

    • ai-chatbox.pro
    • statista.com
    Updated Sep 30, 2024
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    Saifaddin Galal (2024). Largest cities in Africa 2024, by number of inhabitants [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F12726%2Furbanization-in-africa%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Sep 30, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Saifaddin Galal
    Area covered
    Africa
    Description

    Lagos, in Nigeria, ranked as the most populated city in Africa as of 2024, with an estimated population of roughly nine million inhabitants living in the city proper. Kinshasa, in Congo, and Cairo, in Egypt, followed with some 7.8 million and 7.7 million dwellers. Among the 15 largest cities in the continent, another two, Kano, and Ibadan, were located in Nigeria, the most populated country in Africa. Population density trends in Africa As of 2022, Africa exhibited a population density of 48.3 individuals per square kilometer. At the beginning of 2000, the population density across the continent has experienced a consistent annual increment. Projections indicated that the average population residing within each square kilometer would rise to approximately 54 by the year 2027. Moreover, Mauritius stood out as the African nation with the most elevated population density, exceeding 640 individuals per square kilometre. Mauritius possesses one of the most compact territories on the continent, a factor that significantly influences its high population density. Urbanization dynamics in Africa The urbanization rate in Africa was anticipated to reach close to 44 percent in 2021. Urbanization across the continent has consistently risen since 2000, with urban areas accommodating 35 percent of the total population. This trajectory is projected to continue its ascent in the years ahead. Nevertheless, the distribution between rural and urban populations shows remarkable diversity throughout the continent. In 2021, Gabon and Libya stood out as Africa’s most urbanized nations, each surpassing 80 percent urbanization. In 2023, Africa's population was estimated to expand by 2.35 percent compared to the preceding year. Since 2000, the population growth rate across the continent has consistently exceeded 2.45 percent, reaching its pinnacle at 2.59 percent between 2012 and 2013. Although the growth rate has experienced a deceleration, Africa's population will persistently grow significantly in the forthcoming years.

  19. s

    Population Density Southern Asia

    • spotzi.com
    csv
    Updated May 23, 2025
    + more versions
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    Spotzi. Location Intelligence Dashboards for Businesses. (2025). Population Density Southern Asia [Dataset]. https://www.spotzi.com/en/data-catalog/datasets/population-density-southern-asia/
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    csvAvailable download formats
    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    Spotzi. Location Intelligence Dashboards for Businesses.
    License

    https://www.spotzi.com/en/about/terms-of-service/https://www.spotzi.com/en/about/terms-of-service/

    Time period covered
    2022
    Area covered
    Asia, South Asia
    Description

    Our Population Density Grid Dataset for Southern Asia offers detailed, grid-based insights into the distribution of population across cities, towns, and rural areas. Free to explore and visualize, this dataset provides an invaluable resource for businesses and researchers looking to understand demographic patterns and optimize their location-based strategies.

    By creating an account, you gain access to advanced tools for leveraging this data in geomarketing applications. Perfect for OOH advertising, retail planning, and more, our platform allows you to integrate population insights with your business intelligence, enabling you to make data-driven decisions for your marketing and expansion strategies.

  20. G

    Density of Population British Columbia, Alberta, Saskatchewan, Manitoba

    • open.canada.ca
    • gimi9.com
    • +1more
    jpg, pdf
    Updated Feb 22, 2022
    + more versions
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    Natural Resources Canada (2022). Density of Population British Columbia, Alberta, Saskatchewan, Manitoba [Dataset]. https://open.canada.ca/data/en/dataset/971aad23-81a8-5ad9-b330-9857a43729fe
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    pdf, jpgAvailable download formats
    Dataset updated
    Feb 22, 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
    Alberta, Manitoba, British Columbia, Saskatchewan
    Description

    Contained within the 1st Edition (1906) of the Atlas of Canada is a plate that shows two maps. The maps show the density of population per square mile for every township in Manitoba, Saskatchewan, British Columbia, Alberta, circa 1901. The statistics from the 1901 census are used, yet the population of Saskatchewan and Alberta is shown as confined within the vicinity of the railways, this is because the railways have been brought up to date of publication, 1906. Cities and towns of 5000 inhabitants or more are shown as black dots. The size of the circle is proportionate to the population. The map uses eight classes, seven of which are shades of brown, more densely populated portions are shown in the darker tints. Numbers make it clear which class is being shown in any one township. Major railway systems are shown. The map also displays the rectangular survey system which records the land that is available to the public. This grid like system is divided into sections, townships, range, and meridian from mid-Manitoba to Alberta.

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Statista (2025). Cities with the highest population density globally 2023 [Dataset]. https://www.statista.com/statistics/1237290/cities-highest-population-density/
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Cities with the highest population density globally 2023

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9 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
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.

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