100+ datasets found
  1. 10 powerful tools and maps with which to teach about population and...

    • library.ncge.org
    Updated Jul 27, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NCGE (2021). 10 powerful tools and maps with which to teach about population and demographics [Dataset]. https://library.ncge.org/documents/bae1d5f1cba243ea88d09b043b8444ee
    Explore at:
    Dataset updated
    Jul 27, 2021
    Dataset provided by
    National Council for Geographic Educationhttp://www.ncge.org/
    Authors
    NCGE
    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

    Description

    Author: Joseph Kerski, post_secondary_educator, Esri and University of DenverGrade/Audience: high school, ap human geography, post secondary, professional developmentResource type: lessonSubject topic(s): population, maps, citiesRegion: africa, asia, australia oceania, europe, north america, south america, united states, worldStandards: All APHG population tenets. Geography for Life cultural and population geography standards. Objectives: 1. Understand how population change and demographic characteristics are evident at a variety of scales in a variety of places around the world. 2. Understand the whys of where through analysis of change over space and time. 3. Develop skills using spatial data and interactive maps. 4. Understand how population data is communicated using 2D and 3D maps, visualizations, and symbology. Summary: Teaching and learning about demographics and population change in an effective, engaging manner is enriched and enlivened through the use of web mapping tools and spatial data. These tools, enabled by the advent of cloud-based geographic information systems (GIS) technology, bring problem solving, critical thinking, and spatial analysis to every classroom instructor and student (Kerski 2003; Jo, Hong, and Verma 2016).

  2. g

    High Resolution Population Density Data - Map View

    • globalmidwiveshub.org
    Updated Aug 11, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Direct Relief (2021). High Resolution Population Density Data - Map View [Dataset]. https://www.globalmidwiveshub.org/datasets/high-resolution-population-density-data-map-view
    Explore at:
    Dataset updated
    Aug 11, 2021
    Dataset authored and provided by
    Direct Relief
    Description

    This map is just one of the many data visualizations on the Global Midwives Hub, a digital resource with open data, maps, and mapping applications (among other things), to support advocacy for improved maternal and newborn services, supported by the International Confederation of Midwives (ICM), UNFPA, WHO, and Direct Relief.

  3. a

    Population Density Around the Globe

    • hub.arcgis.com
    • covid19.esriuk.com
    • +3more
    Updated May 20, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Direct Relief (2020). Population Density Around the Globe [Dataset]. https://hub.arcgis.com/maps/b71f7fd5dbc8486b8b37362726a11452
    Explore at:
    Dataset updated
    May 20, 2020
    Dataset authored and provided by
    Direct Relief
    Area covered
    Description

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

  4. a

    Population 2018 - Distribution - IRENA Web Map Service

    • hub.arcgis.com
    • gis-for-secondary-schools-schools-be.hub.arcgis.com
    Updated Jun 2, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    GIS for secondary schools (2020). Population 2018 - Distribution - IRENA Web Map Service [Dataset]. https://hub.arcgis.com/maps/e0fd7b45ba004fe68943e105b9964a74
    Explore at:
    Dataset updated
    Jun 2, 2020
    Dataset authored and provided by
    GIS for secondary schools
    Area covered
    Earth
    Description

    Web Map Service that supports the IRENA Global Atlas for Renewable EnergyThe LandScan 2018 Global Population Database was developed by Oak Ridge National Laboratory (ORNL) for the United States Department of Defense (DoD).ORNL’s LandScan™ is a community standard for global population distribution data. At approximately 1 km (30″ X 30″) spatial resolution, it represents an ambient population (average over 24 hours) distribution. The database is refreshed annually and released to the broader user community around October. LandScan™ is now available at no cost to the educational community. The latest LandScan™ dataset available is LandScan Global 2018. Older LandScan Global data sets (LandScan 1998, 2000-2017) are available through site. These data set can be licensed for commercial and other applications through multiple third-party vendors. LandScan is developed using best available demographic (Census) and geographic data, remote sensing imagery analysis techniques within a multivariate dasymetric modeling framework to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution is essentially a combination of locally adoptive models that are tailored to match the data conditions and geographical nature of each individual country and region.

  5. e

    Race in the US by Dot Density

    • coronavirus-resources.esri.com
    • coronavirus-disasterresponse.hub.arcgis.com
    Updated Jan 10, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ArcGIS Living Atlas Team (2020). Race in the US by Dot Density [Dataset]. https://coronavirus-resources.esri.com/maps/71df79b33d4e4db28c915a9f16c3074e
    Explore at:
    Dataset updated
    Jan 10, 2020
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    This map is designed to work in the new ArcGIS Online Map Viewer. Open in Map Viewer to view map. What does this map show?This map shows the population in the US by race. The map shows this pattern nationwide for states, counties, and tracts. Open the map in the new ArcGIS Online Map Viewer Beta to see the dot density pattern. What is dot density?The density is visualized by randomly placing one dot per a given value for the desired attribute. Unlike choropleth visualizations, dot density can be mapped using total counts since the size of the polygon plays a significant role in the perceived density of the attribute.Where is the data from?The data in this map comes from the most current American Community Survey (ACS) from the U.S. Census Bureau. Table B03002. The layer being used if updated with the most current data each year when the Census releases new estimates. The layer can be found in ArcGIS Living Atlas of the World: ACS Race and Hispanic Origin Variables - Boundaries.What questions does this map answer?Where do people of different races live?Do people of a similar race live close to people of their own race?Which cities have a diverse range of different races? Less diverse?

  6. a

    Population Density - White - Map Service

    • hub.arcgis.com
    Updated Aug 15, 2012
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Damian's Organization (2012). Population Density - White - Map Service [Dataset]. https://hub.arcgis.com/maps/8d31fc923a0c44c291b15ce36f814ffd
    Explore at:
    Dataset updated
    Aug 15, 2012
    Dataset authored and provided by
    Damian's Organization
    Area covered
    Description

    This map shows density surfaces derived from the 2010 US Census block points.This data shows % of people who identified themselves as single race and whiteThe block points were interpolated using the density function to a 2km x 2km grid of the continental US (with water and coastal data masks). There are many stories in these Maps:- What is that clean North/South Line through the center? Why do so many people live East of that line?- Notice the paths of the towns in the west – why are they so linear? And it seems there is a pattern to the spaces between the towns, why?- Looking at the ethnic maps, what explains the patterns? Look at the % Native American map – what are the areas of higher values? (note I did not make a % Asian map as at this scale there was not enough % to show any significant clusters.)

  7. e

    Japan - Population density - Dataset - ENERGYDATA.INFO

    • energydata.info
    Updated Jul 23, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Japan - Population density - Dataset - ENERGYDATA.INFO [Dataset]. https://energydata.info/dataset/japan--population-density-2015
    Explore at:
    Dataset updated
    Jul 23, 2024
    License

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

    Area covered
    Japan
    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.

  8. Central African Republic: High Resolution Population Density Maps +...

    • ckan.africadatahub.org
    Updated Sep 18, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    africadatahub.org (2022). Central African Republic: High Resolution Population Density Maps + Demographic Estimates - Dataset - ADH Data Portal [Dataset]. https://ckan.africadatahub.org/dataset/central-african-republic-high-resolution-population-density-maps-demographic-estimates
    Explore at:
    Dataset updated
    Sep 18, 2022
    Dataset provided by
    Africa Data Hub
    CKANhttps://ckan.org/
    License

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

    Area covered
    Central African Republic
    Description

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

  9. a

    2010 Population Density in the United States

    • hub.arcgis.com
    Updated May 26, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ArcGIS Living Atlas Team (2017). 2010 Population Density in the United States [Dataset]. https://hub.arcgis.com/maps/bd27b64a3274493d900606a62c6137da
    Explore at:
    Dataset updated
    May 26, 2017
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    This map shows the population density and total population in the United States in 2010. This is shown by state, county, tract, and block group. The color shows the population per square mile (population density), while the size of each feature shows the total population living there. This is a valuable way to represent population by understanding the quantity and density of the people living there. Areas with high population density are more tightly packed, while low population density means the population is more spread out.The map shows this pattern for states, counties, tracts, and block groups. There is increasing geographic detail as you zoom in, and only one geography is configured to show at any time. The data source is the US Census Bureau, and the vintage is 2010. The original service and data metadata can be found here.

  10. o

    High Resolution Population Density Maps + Demographic Estimates by CIESIN...

    • registry.opendata.aws
    Updated Jul 8, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Meta (2019). High Resolution Population Density Maps + Demographic Estimates by CIESIN and Meta [Dataset]. https://registry.opendata.aws/dataforgood-fb-hrsl/
    Explore at:
    Dataset updated
    Jul 8, 2019
    Dataset provided by
    <a href="https://dataforgood.fb.com/">Meta</a>
    Description

    Population data for a selection of countries, allocated to 1 arcsecond blocks and provided in a combination of CSV and Cloud-optimized GeoTIFF files. This refines CIESIN’s Gridded Population of the World using machine learning models on high-resolution worldwide Maxar satellite imagery. CIESIN population counts aggregated from worldwide census data are allocated to blocks where imagery appears to contain buildings.

  11. f

    Data from: Mapping population distribution from open address data:...

    • tandf.figshare.com
    pdf
    Updated Jun 6, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Nelson Mileu; Margarida Queirós; Paulo Morgado (2023). Mapping population distribution from open address data: application to mainland Portugal [Dataset]. http://doi.org/10.6084/m9.figshare.21036719.v1
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Nelson Mileu; Margarida Queirós; Paulo Morgado
    License

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

    Area covered
    Portugal, Continental Portugal
    Description

    Mapping population distribution remains a common need in various fields of studies. Several approaches and methodologies have been adopted to obtain high-resolution population distribution grids. The use of addresses data to obtain gridded population distribution maps emerges as one of the more recent and accurate approaches. The increasing dissemination and availability of geo-data and more specifically address data allow us to obtain updated, granular and high spatial resolution population distribution maps. This paper describes a bottom-up open addresses data mapping-based approach of gridded population distribution with a fine spatial resolution. Through a QGIS plugin, an adaptation of the housing unit methodology was implemented to obtain 500 m × 500 and 250 m × 250 m population grids for mainland Portugal. The results showed that the use of reliable addresses databases can generate gridded population distribution maps with a high degree of adjustment to reality.

  12. o

    Armenia: High Resolution Population Density Maps + Demographic Estimates -...

    • data.opendata.am
    Updated May 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2023). Armenia: High Resolution Population Density Maps + Demographic Estimates - Dataset - Data Catalog Armenia [Dataset]. https://data.opendata.am/dataset/armenia-high-resolution-population-density-maps-demographic-estimates
    Explore at:
    Dataset updated
    May 31, 2023
    License

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

    Area covered
    Armenia
    Description

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

  13. Mozambique: High Resolution Population Density Maps + Demographic Estimates...

    • ckan.africadatahub.org
    Updated Jun 9, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ckan.africadatahub.org (2021). Mozambique: High Resolution Population Density Maps + Demographic Estimates - Dataset - ADH Data Portal [Dataset]. https://ckan.africadatahub.org/dataset/mozambique-high-resolution-population-density-maps-demographic-estimates
    Explore at:
    Dataset updated
    Jun 9, 2021
    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

    Area covered
    Mozambique
    Description

    VERSION 1.5. The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Mozambique: (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

  14. H

    Lithuania: High Resolution Population Density Maps + Demographic Estimates

    • data.humdata.org
    csv, geotiff
    Updated Nov 17, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Data for Good at Meta (previously Facebook) (2021). Lithuania: High Resolution Population Density Maps + Demographic Estimates [Dataset]. https://data.humdata.org/dataset/lithuania-high-resolution-population-density-maps-demographic-estimates
    Explore at:
    csv(14973902), geotiff(8222012), geotiff(8210900), geotiff(8230543), geotiff(8210863), geotiff(8218979), geotiff(8222309), geotiff(8217200)Available download formats
    Dataset updated
    Nov 17, 2021
    Dataset provided by
    Data for Good at Meta (previously Facebook)
    License

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

    Area covered
    Lithuania
    Description

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

  15. d

    Latin American and Caribbean population database

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Jan 25, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Hyman, Glenn Graham; Castaño, Silvia-Elena; López, Rosalba; Cuero, Alexander; Nagles, Carlos; Barona Adarve, Elizabeth; Perez, Liliana; Jones, Peter (2024). Latin American and Caribbean population database [Dataset]. http://doi.org/10.7910/DVN/AF4KGI
    Explore at:
    Dataset updated
    Jan 25, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Hyman, Glenn Graham; Castaño, Silvia-Elena; López, Rosalba; Cuero, Alexander; Nagles, Carlos; Barona Adarve, Elizabeth; Perez, Liliana; Jones, Peter
    Time period covered
    Jan 1, 1960 - Jan 1, 2000
    Area covered
    Caribbean, Latin America
    Description

    The population of Latin America and the Caribbean increased from 175 million in 1950 to 515 million in 2000. Where did this growth occur? What is the magnitude of change in different places? How can we visualize the geographic dimensions of population change in Latin America and the Caribbean? We compiled census and other public domain information to analyze both temporal and geographic changes in population in the region. Our database includes population totals for over 18,300 administrative districts within Latin America and the Caribbean. Tabular census data was linked to an administrative division map of the region and handled in a geographic information system. We transformed vector population maps to raster surfaces to make the digital maps comparable with other commonly available geographic information. Validation and error-checking analyses were carried out to compare the database with other sources of population information. The digital population maps created in this project have been put in the public domain and can be downloaded from our website. The Latin America and Caribbean map is part of a larger multi-institutional effort to map population in developing countries. This is the third version of the Latin American and Caribbean population database and it contains new data from the 2000 round of censuses and new and improved accessibility surfaces for creating the raster maps.

  16. H

    Oman: High Resolution Population Density Maps + Demographic Estimates

    • data.humdata.org
    zip
    Updated Oct 10, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Data for Good at Meta (2024). Oman: High Resolution Population Density Maps + Demographic Estimates [Dataset]. https://data.humdata.org/dataset/oman-high-resolution-population-density-maps-demographic-estimates
    Explore at:
    zip(12668013), zip(12680245), zip(17212899), zip(17214543), zip(12674040), zip(12669667), zip(17215939), zip(17211817), zip(12675569), zip(17215280), zip(17211671), zip(17215823), zip(12650173), zip(12683780)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
    Oman
    Description

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

  17. e

    Indonesia - Population density - Dataset - ENERGYDATA.INFO

    • energydata.info
    Updated Apr 3, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2018). Indonesia - Population density - Dataset - ENERGYDATA.INFO [Dataset]. https://energydata.info/dataset/indonesia--population-density-2015
    Explore at:
    Dataset updated
    Apr 3, 2018
    License

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

    Area covered
    Indonesia
    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. Indonesia data available from WorldPop here.

  18. w

    2010 Census Changes Map

    • data.wu.ac.at
    Updated Aug 28, 2016
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Chris Metcalf (2016). 2010 Census Changes Map [Dataset]. https://data.wu.ac.at/schema/data_kingcounty_gov/eHljOC11d3Rx
    Explore at:
    Dataset updated
    Aug 28, 2016
    Dataset provided by
    Chris Metcalf
    Description

    Source: U.S. Census Bureau, PL 94-171 Redistricting data, 2000 and 2010. Note: Census numbers for the cities of Burien and Kent do not include annexations that took place after March 31, 2010. These annexations would increase Burien to 48,072, Kent to 118,565, and decrease uninc King County to 284,089.

  19. e

    Taiwan - Population density - Dataset - ENERGYDATA.INFO

    • energydata.info
    Updated Apr 3, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2018). Taiwan - Population density - Dataset - ENERGYDATA.INFO [Dataset]. https://energydata.info/dataset/taiwan--population-density-2015
    Explore at:
    Dataset updated
    Apr 3, 2018
    License

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

    Area covered
    Taiwan
    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. Taiwan data available from WorldPop here.

  20. a

    Lab 03 2010 Population Density Map in the City of Chicago

    • hub.arcgis.com
    Updated Sep 29, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Joyce7 (2017). Lab 03 2010 Population Density Map in the City of Chicago [Dataset]. https://hub.arcgis.com/maps/111b1f68a6414ec89f5097a4ea43e6aa
    Explore at:
    Dataset updated
    Sep 29, 2017
    Dataset authored and provided by
    Joyce7
    Area covered
    Description

    This map shows the population density in Chicago by census tracts in 2010. Population Density is measured by people per square mile. The red shape that pops up in the map is the location of DePaul University's Department of Geography.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
NCGE (2021). 10 powerful tools and maps with which to teach about population and demographics [Dataset]. https://library.ncge.org/documents/bae1d5f1cba243ea88d09b043b8444ee
Organization logo

10 powerful tools and maps with which to teach about population and demographics

Explore at:
Dataset updated
Jul 27, 2021
Dataset provided by
National Council for Geographic Educationhttp://www.ncge.org/
Authors
NCGE
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

Description

Author: Joseph Kerski, post_secondary_educator, Esri and University of DenverGrade/Audience: high school, ap human geography, post secondary, professional developmentResource type: lessonSubject topic(s): population, maps, citiesRegion: africa, asia, australia oceania, europe, north america, south america, united states, worldStandards: All APHG population tenets. Geography for Life cultural and population geography standards. Objectives: 1. Understand how population change and demographic characteristics are evident at a variety of scales in a variety of places around the world. 2. Understand the whys of where through analysis of change over space and time. 3. Develop skills using spatial data and interactive maps. 4. Understand how population data is communicated using 2D and 3D maps, visualizations, and symbology. Summary: Teaching and learning about demographics and population change in an effective, engaging manner is enriched and enlivened through the use of web mapping tools and spatial data. These tools, enabled by the advent of cloud-based geographic information systems (GIS) technology, bring problem solving, critical thinking, and spatial analysis to every classroom instructor and student (Kerski 2003; Jo, Hong, and Verma 2016).

Search
Clear search
Close search
Google apps
Main menu