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. Democratic Republic of the Congo data available from WorldPop here.

Whites have become decreasingly likely to support the Democratic Party. I show this shift is being driven by two mechanisms. The first mechanism is the process of ideological sorting. The Democratic Party has lost support among conservative whites because the relationships between partisanship, voting behavior, and policy orientations have strengthened. The second mechanism relates to demographic changes. The growth of liberal minority populations has shifted the median position on economic issues to the left and away from the median white citizen’s position. The parties have responded to these changes by shifting their positions and whites have become less likely to support the Democratic Party as a result. I test these explanations using 40 years of ANES and DW-NOMINATE data. I find that whites have become 7.7-points more likely vote for the Republican Party and mean white partisanship has shifted .25 points in favor of the Republicans as a combined result of both mechanisms.

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Stevens et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020. These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map populations for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets

WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645

This dataset is about countries per year in Dem. Rep. Congo. It has 64 rows. It features 4 columns: country, individuals using the Internet, and urban population.

DPR Korea administrative level 0 (country), 1 (province, special city), and 2 (county, city, special city) 2008 population statistics

REFERENCE YEAR: 2008

These population statistics tables are suitable for database or GIS linkage to the DPR Korea administrative level 0-2 boundaries. Note, however the caveat below that two administrative level 2 features in the COD-AB do not have corresponding records in the COD-PS table.

Democratic Republic of the Congo population density for 400m H3 hexagons.

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

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

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

Democratic Republic of the Congo administrative level 0 (country), 1 (province), 2 (district) sex and age disaggregated population statistics by year. These tables are suitable for database or GIS linkage to the RDC - Administrative Boundaries (levels 0 - 2).

For year 2019 and 2020, please see caveats.

This dataset is about countries per year in Dem. Rep. Congo. It has 64 rows. It features 4 columns: country, forest area, and male population.

Congo, The Democratic Republic of the CD: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data was reported at 0.041 % in 2010. This records an increase from the previous number of 0.041 % for 2000. Congo, The Democratic Republic of the CD: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data is updated yearly, averaging 0.041 % from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 0.041 % in 2010 and a record low of 0.039 % in 1990. Congo, The Democratic Republic of the CD: Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Democratic Republic of Congo – Table CD.World Bank: Land Use, Protected Areas and National Wealth. Population below 5m is the percentage of the total population living in areas where the elevation is 5 meters or less.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Weighted average;

Lao People's Democratic Republic levels 0 (country), 1 (province / khoueng or prefecture / kampheng nakhon), and 2 (district / muang) sex and age disaggregated 2015 population statistics tables.

See caveats.

The CSV tables are suitable for database or GIS linkage to the Lao People's Democratic Republic - Subnational Administrative Boundaries COD-AB shapefiles.

This dataset is about countries per year in Dem. Rep. Congo. It has 64 rows. It features 4 columns: country, net migration, and rural population.

This dataset is about countries per year in Dem. Rep. Congo. It has 64 rows. It features 4 columns: country, ISO 3 country code, and male population.

This dataset is about countries per year in Dem. Rep. Congo. It has 64 rows. It features 4 columns: country, electricity production from coal sources, and rural population.

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

UNFPA Real-Time Lao People's Democratic Republic (the) Activity Dataset

The dataset contains information on the total resident population, male and female resident population on the county (Kreis), canton (Bezirk) and national level for the years 1969 to 1989. The information is based on the Statistical Yearbooks of the German Democratic Republic. The numbers for the county and national level are taken directly from the Statistical Yearbooks. The numbers for the canton level are the aggregated numbers of the county resident population (total, male and female) per canton and year. All population figures reflect the situation at the end of each year. Up to and including the year 1981, December 31 is given as a specific date of the recordings. Transkription Transcription

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

These datasets provide estimates of population counts for each 100 x 100m grid cell in the country for various years. Please refer to the metadata file and WorldPop website (www.worldpop.org) for full information.

The dataset contains information on the total resident population, male and female resident population on the county (Kreis), canton (Bezirk) and national level for the years 1969 to 1989. The information is based on the Statistical Yearbooks of the German Democratic Republic. The numbers for the county and national level are taken directly from the Statistical Yearbooks. The numbers for the canton level are the aggregated numbers of the county resident population (total, male and female) per canton and year. All population figures reflect the situation at the end of each year. Up to and including the year 1981, December 31 is given as a specific date of the recordings. The research for this dataset was financed by the research grant KO 2239/3-1 “Spontane Revolution oder lange Wende? Eine soziologische Analyse der DDR und ihres Niedergangs auf Basis von Eingabenstatistiken zwischen 1970 und 1989” of the German Research Foundation (Deutsche Forschungsgemeinschaft;DFG). TranscriptionTranscription TranskriptionTranscription