39 datasets found
  1. e

    Bangladesh - Population density - Dataset - ENERGYDATA.INFO

    • energydata.info
    Updated Sep 23, 2024
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    (2024). Bangladesh - Population density - Dataset - ENERGYDATA.INFO [Dataset]. https://energydata.info/dataset/bangladesh--population-density-2015
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    Dataset updated
    Sep 23, 2024
    License

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

    Area covered
    Bangladesh
    Description

    Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

  2. Population density of Bangladesh 2005-2020

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Population density of Bangladesh 2005-2020 [Dataset]. https://www.statista.com/statistics/778381/bangladesh-population-density/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Bangladesh
    Description

    The population density in Bangladesh reached its highest in 2020, amounting to approximately 1.27 thousand people per square kilometer. The South Asian country was the tenth most densely populated country in the world in 2019. Within the Asia Pacific region, Bangladesh’s population density was only exceeded by Macao, Singapore, Hong Kong, and the Maldives. Overall, Asia had the highest population density in the world in 2018.

    Population growth in Bangladesh

    In 1971, Bangladesh gained its independence from Pakistan. Bangladesh’s birth rate and mortality rate had declined significantly in the past years with a life expectancy of 72.59 years in 2019. In general, the population in Bangladesh had been growing at a slow pace, slightly fluctuating around an annual rate of one percent. This growth was forecasted to continue, although it was estimated to halve by 2040. As of today, Dhaka is the largest city in Bangladesh.

    Population density explained

    According to the source, “population density is the mid-year population divided by land area in square kilometers.” Further, “population is based on the de facto definition of population, which counts all residents.” Bangladesh’s population reached an estimated number of 164.69 million inhabitants in 2020. In 2018, the country’s land area amounted 130.2 thousand square kilometers.

  3. T

    Bangladesh - Population Density (people Per Sq. Km)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 25, 2013
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    TRADING ECONOMICS (2013). Bangladesh - Population Density (people Per Sq. Km) [Dataset]. https://tradingeconomics.com/bangladesh/population-density-people-per-sq-km-wb-data.html
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Jul 25, 2013
    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
    Bangladesh
    Description

    Population density (people per sq. km of land area) in Bangladesh was reported at 1319 sq. Km in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Bangladesh - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

  4. B

    Bangladesh BD: Population Density: People per Square Km

    • ceicdata.com
    Updated Dec 15, 2018
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    CEICdata.com (2018). Bangladesh BD: Population Density: People per Square Km [Dataset]. https://www.ceicdata.com/en/bangladesh/population-and-urbanization-statistics/bd-population-density-people-per-square-km
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    Dataset updated
    Dec 15, 2018
    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
    Bangladesh
    Variables measured
    Population
    Description

    Bangladesh BD: Population Density: People per Square Km data was reported at 1,301.259 Person/sq km in 2022. This records an increase from the previous number of 1,287.999 Person/sq km for 2021. Bangladesh BD: Population Density: People per Square Km data is updated yearly, averaging 882.459 Person/sq km from Dec 1961 (Median) to 2022, with 62 observations. The data reached an all-time high of 1,301.259 Person/sq km in 2022 and a record low of 409.544 Person/sq km in 1961. Bangladesh BD: 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 Bangladesh – Table BD.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;

  5. M

    Bangladesh Population Density | Historical Data | Chart | 1961-2022

    • macrotrends.net
    csv
    Updated Sep 30, 2025
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    MACROTRENDS (2025). Bangladesh Population Density | Historical Data | Chart | 1961-2022 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/bgd/bangladesh/population-density
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    csvAvailable download formats
    Dataset updated
    Sep 30, 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

    Time period covered
    Jan 1, 1961 - Dec 31, 2022
    Area covered
    Bangladesh
    Description

    Historical dataset showing Bangladesh population density by year from 1961 to 2022.

  6. w

    Bangladesh - Population density (2015)

    • data.wu.ac.at
    tiff
    Updated Aug 11, 2017
    + more versions
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    (2017). Bangladesh - Population density (2015) [Dataset]. https://data.wu.ac.at/schema/africaopendata_org/YmEzNzQzN2MtZWU2MC00ODc5LWE1OTEtZGEyNjFhMzU3MjEz
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    tiffAvailable download formats
    Dataset updated
    Aug 11, 2017
    License

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

    Description

    Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata.

    DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.

    REGION: Africa

    SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)

    PROJECTION: Geographic, WGS84

    UNITS: Estimated persons per grid square

    MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743.

    FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)

    FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

    Bangladesh data available from WorldPop here.

  7. y

    Bangladesh Population Density

    • ycharts.com
    html
    Updated Mar 5, 2025
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    World Bank (2025). Bangladesh Population Density [Dataset]. https://ycharts.com/indicators/bangladesh_population_density
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    htmlAvailable download formats
    Dataset updated
    Mar 5, 2025
    Dataset provided by
    YCharts
    Authors
    World Bank
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Dec 31, 1961 - Dec 31, 2022
    Area covered
    Bangladesh
    Variables measured
    Bangladesh Population Density
    Description

    View yearly updates and historical trends for Bangladesh Population Density. Source: World Bank. Track economic data with YCharts analytics.

  8. B

    Bangladesh BD: Population Density: Inhabitants per sq km

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). Bangladesh BD: Population Density: Inhabitants per sq km [Dataset]. https://www.ceicdata.com/en/bangladesh/social-demography-non-oecd-member-annual/bd-population-density-inhabitants-per-sq-km
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    Dataset updated
    Dec 15, 2024
    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
    Bangladesh
    Description

    Bangladesh BD: Population Density: Inhabitants per sq km data was reported at 1,301.260 Person in 2022. This records an increase from the previous number of 1,288.000 Person for 2021. Bangladesh BD: Population Density: Inhabitants per sq km data is updated yearly, averaging 1,124.730 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 1,301.260 Person in 2022 and a record low of 857.600 Person in 1990. Bangladesh BD: Population Density: Inhabitants per sq km data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Bangladesh – Table BD.OECD.GGI: Social: Demography: Non OECD Member: Annual.

  9. w

    Bangladesh - Complete Country Profile & Statistics 2025

    • worldviewdata.com
    html
    Updated Jul 24, 2025
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    World View Data (2025). Bangladesh - Complete Country Profile & Statistics 2025 [Dataset]. https://www.worldviewdata.com/countries/bangladesh
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    htmlAvailable download formats
    Dataset updated
    Jul 24, 2025
    Dataset authored and provided by
    World View Data
    License

    https://worldviewdata.com/termshttps://worldviewdata.com/terms

    Time period covered
    2025
    Area covered
    Variables measured
    Area, Population, Literacy Rate, GDP per capita, Life Expectancy, Population Density, Human Development Index, GDP (Gross Domestic Product), Geographic Coordinates (Latitude, Longitude)
    Description

    Comprehensive socio-economic dataset for Bangladesh including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

  10. T

    Bangladesh - Urban Population (% Of Total)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 10, 2013
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    TRADING ECONOMICS (2013). Bangladesh - Urban Population (% Of Total) [Dataset]. https://tradingeconomics.com/bangladesh/urban-population-percent-of-total-wb-data.html
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Aug 10, 2013
    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
    Bangladesh
    Description

    Urban population (% of total population) in Bangladesh was reported at 41.23 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Bangladesh - Urban population (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

  11. Annual population growth in Bangladesh 1961-2023

    • statista.com
    • tokrwards.com
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    Statista, Annual population growth in Bangladesh 1961-2023 [Dataset]. https://www.statista.com/statistics/268715/population-growth-in-bangladesh-1990-2008/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Bangladesh
    Description

    In 2023, the annual population growth in Bangladesh amounted to 1.22 percent. Between 1961 and 2023, the figure dropped by 1.6 percentage points, though the decline followed an uneven course rather than a steady trajectory.

  12. Bangladesh Population Census 2011 - Districts - Table Extract

    • datacatalog.worldbank.org
    excel
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    Bangladesh Bureau of Statistics (BBS), Bangladesh Population Census 2011 - Districts - Table Extract [Dataset]. https://datacatalog.worldbank.org/search/dataset/0061914/bangladesh-population-census-2011-districts-table-extract
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    excelAvailable download formats
    Dataset provided by
    Bangladesh Bureau of Statisticshttp://www.bbs.gov.bd/
    World Bankhttp://topics.nytimes.com/top/reference/timestopics/organizations/w/world_bank/index.html
    World Bank Grouphttp://www.worldbank.org/
    License

    https://datacatalog.worldbank.org/public-licenses?fragment=cchttps://datacatalog.worldbank.org/public-licenses?fragment=cc

    Area covered
    Bangladesh
    Description

    Gathered for the GAFSP Open Data Services activity. This file contains summary statistics of population and population density by district. Data collected by the Bangladesh Bureau of Statistics BBS and published in "Bangladesh Population Census 2011 - Zila Report".

  13. B

    Bangladesh BD: New Business Density: New Registrations per 1000 People Aged...

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Bangladesh BD: New Business Density: New Registrations per 1000 People Aged 15 to 64 [Dataset]. https://www.ceicdata.com/en/bangladesh/businesses-registered-statistics/bd-new-business-density-new-registrations-per-1000-people-aged-15-to-64
    Explore at:
    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, 2015 - Dec 1, 2018
    Area covered
    Bangladesh
    Variables measured
    Enterprises Statistics
    Description

    Bangladesh BD: New Business Density: New Registrations per 1000 People Aged 15 to 64 data was reported at 0.041 Number in 2018. This records a decrease from the previous number of 0.071 Number for 2017. Bangladesh BD: New Business Density: New Registrations per 1000 People Aged 15 to 64 data is updated yearly, averaging 0.073 Number from Dec 2015 (Median) to 2018, with 4 observations. The data reached an all-time high of 0.077 Number in 2016 and a record low of 0.041 Number in 2018. Bangladesh BD: New Business Density: New Registrations per 1000 People Aged 15 to 64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bangladesh – Table BD.World Bank.WDI: Businesses Registered Statistics. New businesses registered are the number of new limited liability corporations (or its equivalent) registered in the calendar year.;World Bank's Entrepreneurship Database (https://www.worldbank.org/en/programs/entrepreneurship).;Unweighted average;For cross-country comparability, only limited liability corporations that operate in the formal sector are included.

  14. Bangladesh - Kutupalong density

    • hub.arcgis.com
    Updated Jan 12, 2018
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    orand@unhcr.org_unhcr (2018). Bangladesh - Kutupalong density [Dataset]. https://hub.arcgis.com/maps/cf13ed4196b94c41934237aa22e4f17c
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    Dataset updated
    Jan 12, 2018
    Dataset provided by
    United Nations High Commissioner for Refugeeshttp://www.unhcr.org/
    Authors
    orand@unhcr.org_unhcr
    Area covered
    Description

    Number of refugees per 20m x 20m (400 sqm) - 10 refugees being the maximum (UNHCR standard)

  15. A

    Seychelles: High Resolution Population Density Maps + Demographic Estimates

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    csv, geotiff
    Updated Nov 23, 2021
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    UN Humanitarian Data Exchange (2021). Seychelles: High Resolution Population Density Maps + Demographic Estimates [Dataset]. https://data.amerigeoss.org/km/dataset/highresolutionpopulationdensitymaps-syc
    Explore at:
    geotiff(114097), csv(76306), csv(75709), geotiff(114986), csv(75758), geotiff(113994), csv(76257), csv(76110), geotiff(113925), geotiff(113984), geotiff(115261), geotiff(113970), csv(76286), csv(64035)Available download formats
    Dataset updated
    Nov 23, 2021
    Dataset provided by
    UN Humanitarian Data Exchange
    License

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

    Area covered
    Seychelles
    Description

    The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Bangladesh: (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).

  16. v

    Global import data of High Density Polyethylene And HSN Code 3901

    • volza.com
    csv
    Updated Mar 10, 2025
    + more versions
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    Volza FZ LLC (2025). Global import data of High Density Polyethylene And HSN Code 3901 [Dataset]. https://www.volza.com/p/high-density-polyethylene/import/import-in-bangladesh/hsn-code-3901/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Mar 10, 2025
    Dataset authored and provided by
    Volza FZ LLC
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    3451 Global import shipment records of High Density Polyethylene And HSN Code 3901 with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  17. e

    Geographical Distribution of Biomass Carbon in Tropical Southeast Asian...

    • knb.ecoinformatics.org
    • osti.gov
    Updated Apr 29, 2021
    + more versions
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    S. Brown; L. R. Iverson; A. Prasad (2021). Geographical Distribution of Biomass Carbon in Tropical Southeast Asian Forests: A Database (NPD-068) [Dataset]. http://doi.org/10.3334/CDIAC/LUE.NDP068
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    Dataset updated
    Apr 29, 2021
    Dataset provided by
    ESS-DIVE
    Authors
    S. Brown; L. R. Iverson; A. Prasad
    Time period covered
    Jan 1, 1980 - Dec 31, 1980
    Area covered
    Description

    A database was generated of estimates of geographically referenced carbon densities of forest vegetation in tropical Southeast Asia for 1980. A geographic information system (GIS) was used to incorporate spatial databases of climatic, edaphic, and geomorphological indices and vegetation to estimate potential (i.e., in the absence of human intervention and natural disturbance) carbon densities of forests. The resulting map was then modified to estimate actual 1980 carbon density as a function of population density and climatic zone. The database covers the following 13 countries: Bangladesh, Brunei, Cambodia (Campuchea), India, Indonesia, Laos, Malaysia, Myanmar (Burma), Nepal, the Philippines, Sri Lanka, Thailand, and Vietnam. For access to the data files, click this link to the CDIAC data transition website: http://cdiac.ess-dive.lbl.gov/epubs/ndp/ndp068/ndp068.html

  18. v

    Global import data of Density Board

    • volza.com
    csv
    Updated Sep 29, 2025
    + more versions
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    Volza FZ LLC (2025). Global import data of Density Board [Dataset]. https://www.volza.com/imports-bangladesh/bangladesh-import-data-of-density+board
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    csvAvailable download formats
    Dataset updated
    Sep 29, 2025
    Dataset authored and provided by
    Volza FZ LLC
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    159 Global import shipment records of Density Board with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  19. n

    Data from: Bats of Bangladesh — A systematic review of the diversity and...

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Nov 23, 2022
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    Md Ashraf Ul Hasan; Tigga Kingston (2022). Bats of Bangladesh — A systematic review of the diversity and distribution with recommendations for future research [Dataset]. http://doi.org/10.5061/dryad.5tb2rbp7j
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    zipAvailable download formats
    Dataset updated
    Nov 23, 2022
    Dataset provided by
    Texas Tech University
    Authors
    Md Ashraf Ul Hasan; Tigga Kingston
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Bangladesh is a South Asian country located at the crossroads of the Indochina and Indo-Himalayan subregions, making it a country of rich faunal diversity. Bangladesh's high population density paired with rapid habitat alteration leaving only 6% of its natural habitats threatens its faunal diversity. Over 1,455 bat species live on earth, providing immense ecological services to maintain biodiversity. The paucity of bat research in Bangladesh and the lack of comprehensive work has led us to set the goal of checking how many species are present in Bangladesh, and the possibility of bat species yet to have occurred. Here we compiled species occurrence data on the bats of Bangladesh and states in neighboring countries (India – states are West Bengal, Sikkim, Meghalaya, Assam, Tripura, Mizoram; Myanmar – states are Chin, Rakhine) from the museums (American Museum of Natural History, Smithsonian National Museum of Natural History, Natural History Museum at United Kingdom, Field Museum of Natural History, Hungarian Natural History Museum, and Royal Ontario Museum), Global Biodiversity Information Facility, and literature, and constructed distribution maps for each species. The maps depicted both the fine-scale and coarse-scale distribution of the species. We confirmed 31 species are occurring in Bangladesh – among them, 22 species are confirmed with the voucher specimen, 15 species are associated with the preserved tissues, and one is confirmed with the morphometric data and key characteristics. Based on the species occurrence in the states of India and Myanmar, along with the habitat preference, an additional 83 species are yet to have occurred in Bangladesh. Among them, 38 species are categorized as Highly Probable, 33 species are Probable, and 10 species are Possible. We recommend bat surveys are urgent in Bangladesh using all complementary capture techniques that will contribute to voucher specimen collections and confirm the presence of bats. In addition, echolocation calls of bats can help establish call libraries.

  20. f

    Crop Storage Location Score: Vegetables (Bangladesh - ~ 500m)

    • data.apps.fao.org
    Updated Jul 15, 2024
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    (2024). Crop Storage Location Score: Vegetables (Bangladesh - ~ 500m) [Dataset]. https://data.apps.fao.org/map/catalog/srv/resources/datasets/c9ff5c5e-7237-4307-b239-412ee2eaea6c
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    Dataset updated
    Jul 15, 2024
    Description

    The raster dataset consists of a 500m score grid for vegetables 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” *0.1 ) + (”Port Accessibility” *0. 2)

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(2024). Bangladesh - Population density - Dataset - ENERGYDATA.INFO [Dataset]. https://energydata.info/dataset/bangladesh--population-density-2015

Bangladesh - Population density - Dataset - ENERGYDATA.INFO

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Dataset updated
Sep 23, 2024
License

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

Area covered
Bangladesh
Description

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

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