18 datasets found
  1. Population density in Chad 2022

    • statista.com
    Updated Jun 4, 2025
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    Statista (2025). Population density in Chad 2022 [Dataset]. https://www.statista.com/statistics/971362/population-density-in-chad/
    Explore at:
    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Chad
    Description

    In 2022, the population density in Chad increased by 0.5 inhabitants per square kilometer (+3.53 percent) compared to 2021. With 14.66 inhabitants per square kilometer, the population density thereby reached its highest value in the observed period. Notably, the population density continuously increased over the last years.Population density refers to the average number of residents per square kilometer of land across a given country or region. 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 Central African Republic and Equatorial Guinea.

  2. T

    Chad - Population Density (people Per Sq. Km)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 27, 2017
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    TRADING ECONOMICS (2017). Chad - Population Density (people Per Sq. Km) [Dataset]. https://tradingeconomics.com/chad/population-density-people-per-sq-km-wb-data.html
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    May 27, 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
    Chad
    Description

    Population density (people per sq. km of land area) in Chad was reported at 14.66 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Chad - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

  3. C

    Chad Population density - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 12, 2020
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    Globalen LLC (2020). Chad Population density - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Chad/population_density/
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    xml, excel, csvAvailable download formats
    Dataset updated
    May 12, 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
    Chad
    Description

    Chad: Population density, people per square km: The latest value from 2021 is 14 people per square km, an increase from 13 people per square km in 2020. In comparison, the world average is 456 people per square km, based on data from 196 countries. Historically, the average for Chad from 1961 to 2021 is 6 people per square km. The minimum value, 2 people per square km, was reached in 1961 while the maximum of 14 people per square km was recorded in 2021.

  4. Chad: High Resolution Population Density Maps + Demographic Estimates -...

    • ckan.africadatahub.org
    Updated Jun 27, 2022
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    ckan.africadatahub.org (2022). Chad: High Resolution Population Density Maps + Demographic Estimates - Dataset - ADH Data Portal [Dataset]. https://ckan.africadatahub.org/dataset/chad-high-resolution-population-density-maps-demographic-estimates
    Explore at:
    Dataset updated
    Jun 27, 2022
    Dataset provided by
    CKANhttps://ckan.org/
    License

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

    Description

    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Chad: (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). Methodology These high-resolution maps are created using machine learning techniques to identify buildings from commercially available satellite images. This is then overlayed with general population estimates based on publicly available census data and other population statistics at Columbia University. The resulting maps are the most detailed and actionable tools available for aid and research organizations. For more information about the methodology used to create our high resolution population density maps and the demographic distributions, click here. For information about how to use HDX to access these datasets, please visit: https://dataforgood.fb.com/docs/high-resolution-population-density-maps-demographic-estimates-documentation/ Adjustments to match the census population with the UN estimates are applied at the national level. The UN estimate for a given country (or state/territory) is divided by the total census estimate of population for the given country. The resulting adjustment factor is multiplied by each administrative unit census value for the target year. This preserves the relative population totals across administrative units while matching the UN total. More information can be found here

  5. M

    Chad Population Density

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Chad Population Density [Dataset]. https://www.macrotrends.net/global-metrics/countries/tcd/chad/population-density
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    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

    Description
    Chad population density for 2022 was 14.66, a 3.52% increase from 2021.
    <ul style='margin-top:20px;'>
    
    <li>Chad population density for 2021 was <strong>14.16</strong>, a <strong>3.5% increase</strong> from 2020.</li>
    <li>Chad population density for 2020 was <strong>13.68</strong>, a <strong>3.23% increase</strong> from 2019.</li>
    <li>Chad population density for 2019 was <strong>13.25</strong>, a <strong>3.27% 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.
    
  6. Chad TD: Population Density: People per Square Km

    • ceicdata.com
    Updated Mar 10, 2018
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    CEICdata.com (2018). Chad TD: Population Density: People per Square Km [Dataset]. https://www.ceicdata.com/en/chad/population-and-urbanization-statistics/td-population-density-people-per-square-km
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    Dataset updated
    Mar 10, 2018
    Dataset provided by
    CEIC Data
    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
    Chad
    Variables measured
    Population
    Description

    Chad TD: Population Density: People per Square Km data was reported at 14.656 Person/sq km in 2022. This records an increase from the previous number of 14.158 Person/sq km for 2021. Chad TD: Population Density: People per Square Km data is updated yearly, averaging 5.035 Person/sq km from Dec 1961 (Median) to 2022, with 62 observations. The data reached an all-time high of 14.656 Person/sq km in 2022 and a record low of 2.470 Person/sq km in 1961. Chad TD: Population Density: People per Square Km data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Population and Urbanization Statistics. 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.;Food and Agriculture Organization and World Bank population estimates.;Weighted average;

  7. a

    GRID3 Chad Social Distancing Layers (Index), Version 1.0

    • africageoportal.com
    • grid3.africageoportal.com
    • +4more
    Updated Jul 20, 2021
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    WorldPop (2021). GRID3 Chad Social Distancing Layers (Index), Version 1.0 [Dataset]. https://www.africageoportal.com/maps/WorldPop::grid3-chad-social-distancing-layers-index-version-1-0
    Explore at:
    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 Chad. 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.

  8. Urbanization in Chad 2023

    • ai-chatbox.pro
    • statista.com
    Updated Mar 15, 2025
    + more versions
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    Statista (2025). Urbanization in Chad 2023 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F529376%2Furbanization-in-chad%2F%23XgboD02vawLKoDs%2BT%2BQLIV8B6B4Q9itA
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    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Chad
    Description

    In 2023, the share of urban population in Chad remained nearly unchanged at around 24.37 percent. Nevertheless, 2023 still represents a peak in the share in Chad with 24.37 percent. 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.

  9. Population density in Cameroon 2022

    • statista.com
    Updated Mar 15, 2025
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    Statista (2025). Population density in Cameroon 2022 [Dataset]. https://www.statista.com/statistics/971342/population-density-in-cameroon/
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    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Cameroon
    Description

    The population density in Cameroon increased by 1.5 inhabitants per square kilometer (+2.63 percent) in 2022. With 58.46 inhabitants per square kilometer, the population density thereby reached its highest value in the observed period. Notably, the population density continuously increased over the last years.Population density refers to the average number of residents per square kilometer of land across a given country or region. 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 Republic of the Congo and Chad.

  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

    Chad - Spatial Distribution of Population (2015-2030)

    • data.humdata.org
    geotiff
    Updated May 24, 2025
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    WorldPop (2025). Chad - Spatial Distribution of Population (2015-2030) [Dataset]. https://data.humdata.org/dataset/worldpop-population-counts-2015-2030-tcd
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    geotiffAvailable download formats
    Dataset updated
    May 24, 2025
    Dataset provided by
    WorldPop
    Description

    Constrained estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.

    More information can be found in the Release Statement

    The difference between constrained and unconstrained is explained on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained

  12. g

    GRID3 Chad Social Distancing Layers, Version 1.0

    • data.grid3.org
    • africageoportal.com
    • +3more
    Updated Jul 20, 2021
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    WorldPop (2021). GRID3 Chad Social Distancing Layers, Version 1.0 [Dataset]. https://data.grid3.org/maps/006b36163ef54db9922fc5c826b500bf
    Explore at:
    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 Chad. 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. p

    Perspectives Demographiques du Chad de 1998 a 2018

    • dataportal.pauwes.dz
    Updated Sep 9, 2019
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    Pan African University Institute of Water and Energy Sciences (PAUWES) (2019). Perspectives Demographiques du Chad de 1998 a 2018 [Dataset]. https://dataportal.pauwes.dz/geonetwork/srv/api/records/08b470e5-7bd9-499a-b3c5-8f456b18c954
    Explore at:
    www:download-1.0-http--downloadAvailable download formats
    Dataset updated
    Sep 9, 2019
    Dataset provided by
    Pan African University Institute of Water and Energy Sciences (PAUWES)
    Ministere de l’economie et de la planification du developpement, Chad
    Time period covered
    Jan 1, 1998 - Dec 31, 2018
    Area covered
    Description

    Demographic data from Chad per country and region. Yearly numbers. Including gender, rural and urban populations, population density.

  14. Population density in Angola 2022

    • ai-chatbox.pro
    • statista.com
    Updated Jul 3, 2024
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    Aaron O'Neill (2024). Population density in Angola 2022 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F4143%2Fangola%2F%23XgboD02vawLKoDs%2BT%2BQLIV8B6B4Q9itA
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    Dataset updated
    Jul 3, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Aaron O'Neill
    Area covered
    Angola
    Description

    The population density in Angola increased by 0.9 inhabitants per square kilometer (+3.25 percent) in 2022 in comparison to the previous year. With 28.58 inhabitants per square kilometer, the population density thereby reached its highest value in the observed period. Notably, the population density continuously increased over the last years.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 Chad and Republic of the Congo.

  15. f

    Crop Storage Location Score: Sorghum (Chad - ~ 500m)

    • data.apps.fao.org
    Updated Aug 21, 2024
    + more versions
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    (2024). Crop Storage Location Score: Sorghum (Chad - ~ 500m) [Dataset]. https://data.apps.fao.org/map/catalog/srv/resources/datasets/2dc1b930-66d2-4612-ba93-0ab5d7e79a0f
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    Dataset updated
    Aug 21, 2024
    Description

    The raster dataset consists of a 500m score grid for sorghum storage location, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location. The location score is achieved by processing sub-model outputs that characterize logistical factors for selected crop warehouse locations: • Supply: Crop. • Demand: Human population density, Major cities population (national and bordering countries). • Infrastructure/accessibility: main transportation infrastructure. It consists of an arithmetic weighted sum of normalized grids (0 to 100): ("Crop Production" * 0.4) + ("Human Population Density" * 0.2) + (“Major Cities Accessibility” * 0.1) + (”Regional Cities Accessibility” * 0.2) + (”Asset Wealth” * 0.1)

  16. a

    GRID3 Chad Social Distancing Layers (Urban Points), Version 1.0

    • hub.arcgis.com
    Updated Jul 20, 2021
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    WorldPop (2021). GRID3 Chad Social Distancing Layers (Urban Points), Version 1.0 [Dataset]. https://hub.arcgis.com/datasets/WorldPop::grid3-chad-social-distancing-layers-version-1-0?layer=0
    Explore at:
    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 Chad. 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.

  17. Chad Densidad de la población

    • knoema.es
    csv, json, sdmx, xls
    Updated May 13, 2025
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    Knoema (2025). Chad Densidad de la población [Dataset]. https://knoema.es/atlas/Chad/Densidad-de-la-poblaci%C3%B3n
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    sdmx, json, csv, xlsAvailable download formats
    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2011 - 2022
    Area covered
    Chad
    Variables measured
    Densidad de la población
    Description

    14,7 (personas por km2 de superficie de tierra) in 2022. Population density is midyear population divided by land area in square kilometers.

  18. チャドの人口密度の1961~2022年までの推移データ

    • graphtochart.com
    csv
    Updated Sep 18, 2023
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    合同会社LBB (2023). チャドの人口密度の1961~2022年までの推移データ [Dataset]. https://graphtochart.com/population/chad-density.php
    Explore at:
    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

    チャド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。

  19. 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 Chad 2022 [Dataset]. https://www.statista.com/statistics/971362/population-density-in-chad/
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Population density in Chad 2022

Explore at:
Dataset updated
Jun 4, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Chad
Description

In 2022, the population density in Chad increased by 0.5 inhabitants per square kilometer (+3.53 percent) compared to 2021. With 14.66 inhabitants per square kilometer, the population density thereby reached its highest value in the observed period. Notably, the population density continuously increased over the last years.Population density refers to the average number of residents per square kilometer of land across a given country or region. 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 Central African Republic and Equatorial Guinea.

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