17 datasets found
  1. Population density in Mauritius 2022

    • statista.com
    Updated Jan 3, 2025
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    Statista (2025). Population density in Mauritius 2022 [Dataset]. https://www.statista.com/statistics/971453/population-density-in-mauritius/
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    Dataset updated
    Jan 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mauritius
    Description

    The population density in Mauritius saw no significant changes in 2022 in comparison to the previous year 2021 and remained at around 632.21 inhabitants per square kilometer. In comparison to 2021, the population density decreased not significantly by 1.9 inhabitants per square kilometer (-0.3 percent). Population density refers to the number of people living in a certain country or area, given as an average per square kilometer. It is calculated by dividing the total midyear population by the total land area.Find more key insights for the population density in countries like Tanzania and Madagascar.

  2. H

    Mauritius - Population Density

    • data.humdata.org
    geotiff
    Updated Mar 14, 2025
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    WorldPop (2025). Mauritius - Population Density [Dataset]. https://data.humdata.org/dataset/worldpop-population-density-for-mauritius
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    geotiffAvailable download formats
    Dataset updated
    Mar 14, 2025
    Dataset provided by
    WorldPop
    Area covered
    Mauritius
    Description

    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.

    Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator)

    -Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method.
    -Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method.

    Data for earlier dates is available directly from WorldPop.

    WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674

  3. Mauritius: High Resolution Population Density Maps + Demographic Estimates

    • cloud.csiss.gmu.edu
    zipped csv +1
    Updated Jul 23, 2019
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    UN Humanitarian Data Exchange (2019). Mauritius: High Resolution Population Density Maps + Demographic Estimates [Dataset]. https://cloud.csiss.gmu.edu/uddi/ko_KR/dataset/41c58f31-f83a-4010-a2c2-5a816abe9ccb
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    zipped csv(290649), zipped csv(292303), zipped geotiff(224952), zipped geotiff(224669), zipped csv(291086), zipped geotiff(224544), zipped csv(262240), zipped geotiff(224570), zipped geotiff(224571), zipped geotiff(224577), zipped csv(290099), zipped geotiff(224603), zipped csv(292574), zipped csv(289990)Available download formats
    Dataset updated
    Jul 23, 2019
    Dataset provided by
    United Nationshttp://un.org/
    License

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

    Area covered
    Mauritius
    Description

    The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.

    There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.

  4. H

    Mauritius: Population Density for 400m H3 Hexagons

    • data.humdata.org
    geopackage
    Updated Nov 2, 2023
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    Mauritius: Population Density for 400m H3 Hexagons [Dataset]. https://data.humdata.org/dataset/kontur-population-mauritius
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    geopackageAvailable download formats
    Dataset updated
    Nov 2, 2023
    Dataset provided by
    Kontur
    License

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

    Area covered
    Mauritius
    Description

    Mauritius population density for 400m H3 hexagons.

    Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution.

    Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.

  5. Population density in Africa 2000-2027

    • statista.com
    Updated Mar 25, 2024
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    Statista (2024). Population density in Africa 2000-2027 [Dataset]. https://www.statista.com/statistics/1225875/population-density-in-africa/
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    Dataset updated
    Mar 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Africa
    Description

    In 2022, the population density in Africa was 48.3 inhabitants per square kilometer. From 2000 onwards, the density of the population on the continent has increased annually. Moreover, the average number of people living within a square kilometer was expected to increase to around 54 by 2027. Mauritius, Rwanda, and Burundi were the African countries with the highest population density as of 2023.

  6. H

    Mauritius: High Resolution Population Density Maps + Demographic Estimates

    • data.humdata.org
    • data.amerigeoss.org
    csv, geotiff
    Updated Oct 10, 2024
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    Mauritius: High Resolution Population Density Maps + Demographic Estimates [Dataset]. https://data.humdata.org/dataset/highresolutionpopulationdensitymaps-mus
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    csv(292574), geotiff(224570), csv(292303), csv(291086), geotiff(224603), geotiff(224544), geotiff(224571), geotiff(224577), csv(290649), geotiff(224952), csv(290099), geotiff(224669), csv(289990), csv(615395)Available download formats
    Dataset updated
    Oct 10, 2024
    Dataset provided by
    Data for Good at Meta
    License

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

    Area covered
    Mauritius
    Description

    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Mauritius: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

  7. Countries with the highest population density in Africa 2023

    • statista.com
    Updated Feb 18, 2025
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    Statista (2025). Countries with the highest population density in Africa 2023 [Dataset]. https://www.statista.com/statistics/1218003/population-density-in-africa-by-country/
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    Dataset updated
    Feb 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Africa
    Description

    Mauritius had the highest population density level in Africa as of 2023, with nearly 630 inhabitants per square kilometer. The country has also one of the smallest territories on the continent, which contributes to the high density. As a matter of fact, the majority of African countries with the largest concentration of people per square kilometer have the smallest geographical area as well. The exception is Nigeria, which ranks among the largest territorial countries in Africa and is very densely populated at the same time. After all, Nigeria has also the largest population on the continent.

  8. M

    DT.DIS.MIBR.CD Population Density 1950-2025

    • macrotrends.net
    csv
    Updated Feb 28, 2025
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    MACROTRENDS (2025). DT.DIS.MIBR.CD Population Density 1950-2025 [Dataset]. https://www.macrotrends.net/global-metrics/countries/mauritius/MUS/DT.DIS.MIBR.CD/population-density
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    csvAvailable download formats
    Dataset updated
    Feb 28, 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
    DT.DIS.MIBR.CD
    Description

    Chart and table of DT.DIS.MIBR.CD population density from 1950 to 2025. United Nations projections are also included through the year 2100.

  9. a

    GRID3 Mauritius Social Distancing Layers (Urban Extents), Version 1.0

    • hub-worldpop.opendata.arcgis.com
    Updated Jul 20, 2021
    + more versions
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    WorldPop (2021). GRID3 Mauritius Social Distancing Layers (Urban Extents), Version 1.0 [Dataset]. https://hub-worldpop.opendata.arcgis.com/maps/WorldPop::grid3-mauritius-social-distancing-layers-urban-extents-version-1-0
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    Dataset updated
    Jul 20, 2021
    Dataset authored and provided by
    WorldPop
    License

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

    Area covered
    Description

    Social distancing is a public health measure intended to reduce infectious disease transmission, by maintaining physical distance between individuals or households. In the context of the COVID-19 pandemic, populations in many countries around the world have been advised to maintain social distance (also referred to as physical distance), with distances of 6 feet or 2 metres commonly advised. Feasibility of social distancing is dependent on the availability of space and the number of people, which varies geographically. In locations where social distancing is difficult, a focus on alternative measures to reduce disease transmission may be needed. To help identify locations where social distancing is difficult, we have developed an ease of social distancing index. By index, we mean a composite measure, intended to highlight variations in ease of social distancing in urban settings, calculated based on the space available around buildings and estimated population density. Index values were calculated for small spatial units (vector polygons), typically bounded by roads, rivers or other features. This dataset provides index values for small spatial units within urban areas in Mauritius. Measures of population density were calculated from high-resolution gridded population datasets from WorldPop, and the space available around buildings was calculated using building footprint polygons derived from satellite imagery (Ecopia.AI and Maxar Technologies. 2020). These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 project with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Department for International Development. Project partners included the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation.

  10. Population in Africa 2024, by selected country

    • statista.com
    Updated Feb 18, 2025
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    Statista (2025). Population in Africa 2024, by selected country [Dataset]. https://www.statista.com/statistics/1121246/population-in-africa-by-country/
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    Dataset updated
    Feb 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Africa
    Description

    Nigeria has the largest population in Africa. As of 2024, the country counted over 232.6 million individuals, whereas Ethiopia, which ranked second, has around 132 million inhabitants. Egypt registered the largest population in North Africa, reaching nearly 116 million people. In terms of inhabitants per square kilometer, Nigeria only ranks seventh, while Mauritius has the highest population density on the whole African continent. The fastest-growing world region Africa is the second most populous continent in the world, after Asia. Nevertheless, Africa records the highest growth rate worldwide, with figures rising by over two percent every year. In some countries, such as Niger, the Democratic Republic of Congo, and Chad, the population increase peaks at over three percent. With so many births, Africa is also the youngest continent in the world. However, this coincides with a low life expectancy. African cities on the rise The last decades have seen high urbanization rates in Asia, mainly in China and India. However, African cities are currently growing at larger rates. Indeed, most of the fastest-growing cities in the world are located in Sub-Saharan Africa. Gwagwalada, in Nigeria, and Kabinda, in the Democratic Republic of the Congo, ranked first worldwide. By 2035, instead, Africa's fastest-growing cities are forecast to be Bujumbura, in Burundi, and Zinder, Nigeria.

  11. H

    Mauritius: Administrative Division with Aggregated Population

    • data.humdata.org
    geopackage
    Updated Jul 28, 2023
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    Kontur (2023). Mauritius: Administrative Division with Aggregated Population [Dataset]. https://data.humdata.org/dataset/kontur-boundaries-mauritius
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    geopackageAvailable download formats
    Dataset updated
    Jul 28, 2023
    Dataset provided by
    Kontur
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Mauritius
    Description

    Mauritius administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata.
    Global version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population

  12. a

    GRID3 Mauritius Social Distancing Layers, Version 1.0

    • africageoportal.com
    • data.grid3.org
    • +4more
    Updated Jul 20, 2021
    + more versions
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    WorldPop (2021). GRID3 Mauritius Social Distancing Layers, Version 1.0 [Dataset]. https://www.africageoportal.com/maps/81424461c72442568db3dccdee8bb206
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    Dataset updated
    Jul 20, 2021
    Dataset authored and provided by
    WorldPop
    License

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

    Area covered
    Description

    Social distancing is a public health measure intended to reduce infectious disease transmission, by maintaining physical distance between individuals or households. In the context of the COVID-19 pandemic, populations in many countries around the world have been advised to maintain social distance (also referred to as physical distance), with distances of 6 feet or 2 metres commonly advised. Feasibility of social distancing is dependent on the availability of space and the number of people, which varies geographically. In locations where social distancing is difficult, a focus on alternative measures to reduce disease transmission may be needed. To help identify locations where social distancing is difficult, we have developed an ease of social distancing index. By index, we mean a composite measure, intended to highlight variations in ease of social distancing in urban settings, calculated based on the space available around buildings and estimated population density. Index values were calculated for small spatial units (vector polygons), typically bounded by roads, rivers or other features. This dataset provides index values for small spatial units within urban areas in Mauritius. Measures of population density were calculated from high-resolution gridded population datasets from WorldPop, and the space available around buildings was calculated using building footprint polygons derived from satellite imagery (Ecopia.AI and Maxar Technologies. 2020). These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 project with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Department for International Development. Project partners included the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation.

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

    • statista.com
    Updated May 24, 2024
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    Statista (2024). Largest cities in Africa 2024, by number of inhabitants [Dataset]. https://www.statista.com/statistics/1218259/largest-cities-in-africa/
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    Dataset updated
    May 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    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.

  14. 毛里求斯 MU:人口密度:每平方公里人口

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    毛里求斯 MU:人口密度:每平方公里人口 [Dataset]. https://www.ceicdata.com/zh-hans/mauritius/population-and-urbanization-statistics/mu-population-density-people-per-square-km
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    毛里求斯
    Variables measured
    Population
    Description

    MU:人口密度:每平方公里人口在12-01-2017达622.962Person/sq km,相较于12-01-2016的622.400Person/sq km有所增长。MU:人口密度:每平方公里人口数据按年更新,12-01-1961至12-01-2017期间平均值为517.862Person/sq km,共57份观测结果。该数据的历史最高值出现于12-01-2017,达622.962Person/sq km,而历史最低值则出现于12-01-1961,为335.348Person/sq km。CEIC提供的MU:人口密度:每平方公里人口数据处于定期更新的状态,数据来源于World Bank,数据归类于全球数据库的毛里求斯 – 表 MU.世行.WDI:人口和城市化进程统计。

  15. 毛里求斯 人口密度:每平方公里的居民

    • ceicdata.com
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    CEICdata.com, 毛里求斯 人口密度:每平方公里的居民 [Dataset]. https://www.ceicdata.com/zh-hans/mauritius/social-demography-non-oecd-member-annual/mu-population-density-inhabitants-per-sq-km
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    毛里求斯
    Description

    人口密度:每平方公里的居民在12-01-2022达639.020人,相较于12-01-2021的640.770人有所下降。人口密度:每平方公里的居民数据按年更新,12-01-1990至12-01-2022期间平均值为622.550人,共33份观测结果。该数据的历史最高值出现于12-01-2015,达647.110人,而历史最低值则出现于12-01-1990,为536.460人。CEIC提供的人口密度:每平方公里的居民数据处于定期更新的状态,数据来源于Organisation for Economic Co-operation and Development,数据归类于全球数据库的毛里求斯 – Table MU.OECD.GGI: Social: Demography: Non OECD Member: Annual。

  16. Urbanization in Mozambique 2023

    • statista.com
    Updated Oct 15, 2024
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    Statista (2024). Urbanization in Mozambique 2023 [Dataset]. https://www.statista.com/statistics/455889/urbanization-in-mozambique/
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    Dataset updated
    Oct 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mozambique, Africa
    Description

    The share of urban population in Mozambique saw no significant changes in 2023 in comparison to the previous year 2022 and remained at around 38.75 percent. Still, the share reached its highest value in the observed period in 2023. A population may be defined as urban depending on the size (population or area) or population density of the village, town, or city. The urbanization rate then refers to the share of the total population who live in an urban setting. International comparisons may be inconsistent due to differing parameters for what constitutes an urban center.Find more key insights for the share of urban population in countries like Zambia and Mauritius.

  17. モーリシャスの人口密度の1961~2022年までの推移データ

    • graphtochart.com
    csv
    Updated Sep 18, 2023
    + more versions
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    合同会社LBB (2023). モーリシャスの人口密度の1961~2022年までの推移データ [Dataset]. https://graphtochart.com/population/mauritius-density.php
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    csvAvailable download formats
    Dataset updated
    Sep 18, 2023
    Dataset authored and provided by
    合同会社LBB
    License

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

    Area covered
    Description

    モーリシャスの人口密度を国土面積と総人口から算出し最新の推移グラフや日本との比較表、世界人口密度ランキング(狭い)等を用い、人口密度が低いのか高いのかを説明しています。各種データはcsv出力・ダウンロードも可能です。(EXCELでも使用可能)元データのソースはworldbank.orgで、当サイト(GraphToChart)が独自に計算・算出し全て無料で利用可能ですので、研究や分析レポートにお役立て頂ければ幸いです。

  18. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2025). Population density in Mauritius 2022 [Dataset]. https://www.statista.com/statistics/971453/population-density-in-mauritius/
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Population density in Mauritius 2022

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Dataset updated
Jan 3, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Mauritius
Description

The population density in Mauritius saw no significant changes in 2022 in comparison to the previous year 2021 and remained at around 632.21 inhabitants per square kilometer. In comparison to 2021, the population density decreased not significantly by 1.9 inhabitants per square kilometer (-0.3 percent). Population density refers to the number of people living in a certain country or area, given as an average per square kilometer. It is calculated by dividing the total midyear population by the total land area.Find more key insights for the population density in countries like Tanzania and Madagascar.

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