According to the 76th round of the NSO survey conducted between July and December 2018, a higher percentage of men had disabilities compared to women in India. In the state of Uttar Pradesh, 2.7 percent of men had multiple disabilities, while this was at two percent among females. The National Statistical Office (NSO) is the statistical wing of the Ministry of Statistics and Programme Implementation (MOSPI), mainly responsible for laying down standards for statistical analysis, data collection, and implementation.

Footnotes: 1 Population estimates based on the Standard Geographical Classification (SGC) 2016 as delineated in the 2016 Census. 2 A census metropolitan area (CMA) or a census agglomeration (CA) is formed by one or more adjacent municipalities centred on a population centre (known as the core). A CMA must have a total population of at least 100,000 of which 50,000 or more must live in the core based on adjusted data from the previous Census of Population Program. A CA must have a core population of at least 10,000 also based on data from the previous Census of Population Program. To be included in the CMA or CA, other adjacent municipalities must have a high degree of integration with the core, as measured by commuting flows derived from data on place of work from the previous Census Program. If the population of the core of a CA falls below 10,000, the CA is retired from the next census. However, once an area becomes a CMA, it is retained as a CMA even if its total population declines below 100,000 or the population of its core falls below 50,000. All areas inside the CMA or CA that are not population centres are rural areas. When a CA has a core of at least 50,000, based on data from the previous Census of Population, it is subdivided into census tracts. Census tracts are maintained for the CA even if the population of the core subsequently falls below 50,000. All CMAs are subdivided into census tracts (2016 Census Dictionary, catalogue number 98-301-X2016001). 3 An area outside census metropolitan areas and census agglomerations is made up of all areas (within a province or territory) unallocated to a census metropolitan area (CMA) or census agglomeration (CA). 4 Postcensal estimates are based on the latest census counts adjusted for census net undercoverage (including adjustment for incompletely enumerated Indian reserves) and for the estimated population growth that occurred since that census. Intercensal estimates are based on postcensal estimates and census counts adjusted of the censuses preceding and following the considered year. 5 Population estimates as of July 1 are final intercensal up to 2015, final postcensal for 2016 to 2019, updated postcensal for 2020 and preliminary postcensal for 2021. 6 The population growth, which is used to calculate population estimates of census metropolitan areas and census agglomerations (table 17100135), is comprised of the components of population growth (table 17100136). 7 This table replaces table 17100078. 8 Age on July 1.

This table contains data from the census of the municipal population in the French departments. Censuses for the following years are present in the table:

• 1968
• 1975
• 1982
• 1990
• from 2006 to 2021

Collection Context The data is uploaded to the [INSEE] website(https://www.insee.fr/fr/accueil) and then integrated into a repository database to make it available to GIS users and departmental agents.

The municipal population includes persons:

• having their habitual residence in the territory of the municipality, in a dwelling or community;

• detained in the penal institutions of the municipality;

• homeless persons registered in the territory of the municipality;

• usually residing in a mobile dwelling registered in the territory of the municipality. The municipal population of a group of municipalities is equal to the sum of the municipal populations of the municipalities that make up it.

The concept of municipal population now corresponds to the concept of population used in statistics. It does not contain double accounts: every person living in France is counted once and only once. In 1999, the concept of a population without double counting corresponded to the notion of a statistical population. The concept of municipal population is defined by Decree No. 2003-485 published in the Official Journal of 8 June 2003 on the population census (source INSEE).

Collection method Every year, the table is updated. A new field is created and filled in with the data from the last census of the municipal population.

Attributes | field | Alias ▲ Type | – | – — | ‘objectID’ | Unique identifier ‘integer’ | ‘Reg’ | Region code ⋆ ‘char’ -’ | ‘DEP’ | Department Number ▲ ‘char’ — | ‘dep_name’ | Department name ▲ ‘char’ | ‘superf’ | Area ▲ ‘double’ ⋆ | ‘d68_pop’ | Census 1968 ‘integer’ | ‘d75_pop’ | Census 1975 ‘integer’ | ‘d82_pop’ | Census 1982 ‘integer’ | ‘d90_pop’ | Census 1990 ‘integer’ | ‘p99_pop’ | Census 1999 ‘integer’ | ‘p06_pop’ | Census 2006 ‘integer’ | ‘p07_pop’ | Census 2007 ‘integer’ | ‘p08_pop’ | Census 2008 ‘integer’ | ‘p09_pop’ | Census 2009 ‘integer’ | ‘p10_pop’ | Census 2010 ‘integer’ | ‘p11_pop’ | Census 2011 ‘integer’ | ‘p12_pop’ | Municipal population 2015 – Census 2012 ‘integer’ | ‘p13_pop’ | Municipal population 2016 – Census 2013 ⋆ ‘integer’ ⋆ | ‘p14_pop’ | Municipal population 2017 – 2014 Census ⋆ ‘integer’ — | ‘p15_pop’ | Municipal population 2018 – Census 2015 ⋆ ‘integer’ ⋆ | ‘p16_pop’ | Municipal population 2019 – Census 2016 ⋆ ‘integer’ ⋆ | ‘p17_pop’ | Municipal population 2020 – Census 2017 ⋆ ‘integer’ ⋆ | ‘p18_pop’ | Municipal population 2021 – 2018 Census ▲ ‘integer’ ⋆ | ‘p19_pop’ | Municipal population 2022 – 2019 Census ▲ ‘integer’ ⋆ | ‘p20_pop’ | Municipal population 2023 – 2020 census ⋆ ‘integer’ | ‘p21_pop’ | Municipal population 2024 – Census 2021 ⋆ ‘integer’ -’

For more information, see the metadata on the Isogeo catalog.

The map shows the population growth in the United States with 2018-2023 estimates by county, tract, and block group. Areas in green have positive growth rate while area in brown have negative predicted growth. Size is denoted by the 2023 total population estimate. The pop-up has additional information including 2018 total population, 2018 total households, and the 2023 estimates. For more information about Esri's demographic data, visit the Updated Demographics documentation.

Footnotes: 1 Population estimates based on the Standard Geographical Classification (SGC) 2016 as delineated in the 2016 Census. 2 A census metropolitan area (CMA) or a census agglomeration (CA) is formed by one or more adjacent municipalities centred on a population centre (known as the core). A CMA must have a total population of at least 100,000 of which 50,000 or more must live in the core based on adjusted data from the previous Census of Population Program. A CA must have a core population of at least 10,000 also based on data from the previous Census of Population Program. To be included in the CMA or CA, other adjacent municipalities must have a high degree of integration with the core, as measured by commuting flows derived from data on place of work from the previous Census Program. If the population of the core of a CA falls below 10,000, the CA is retired from the next census. However, once an area becomes a CMA, it is retained as a CMA even if its total population declines below 100,000 or the population of its core falls below 50,000. All areas inside the CMA or CA that are not population centres are rural areas. When a CA has a core of at least 50,000, based on data from the previous Census of Population, it is subdivided into census tracts. Census tracts are maintained for the CA even if the population of the core subsequently falls below 50,000. All CMAs are subdivided into census tracts (2016 Census Dictionary, catalogue number 98-301-X2016001). 3 An area outside census metropolitan areas and census agglomerations is made up of all areas (within a province or territory) unallocated to a census metropolitan area (CMA) or census agglomeration (CA). 4 Postcensal estimates are based on the latest census counts adjusted for census net undercoverage (including adjustment for incompletely enumerated Indian reserves) and for the estimated population growth that occurred since that census. Intercensal estimates are based on postcensal estimates and census counts adjusted of the censuses preceding and following the considered year. 5 Population estimates as of July 1 are final intercensal up to 2015, final postcensal for 2016 to 2019, updated postcensal for 2020 and preliminary postcensal for 2021. 6 The population growth, which is used to calculate population estimates of census metropolitan areas and census agglomerations (table 17100135), is comprised of the components of population growth (table 17100136). 7 This table replaces table 17100078. 8 Age on July 1.

United States US: Urban Population data was reported at 267,278,643.000 Person in 2017. This records an increase from the previous number of 264,746,567.000 Person for 2016. United States US: Urban Population data is updated yearly, averaging 184,283,180.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 267,278,643.000 Person in 2017 and a record low of 126,462,473.000 Person in 1960. United States US: Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. Aggregation of urban and rural population may not add up to total population because of different country coverages.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Sum;

This table contains data from censuses of the municipal population since 2013 in the cantons of Loiret.

Collection Context The data is uploaded to the [INSEE] website(https://www.insee.fr/fr/accueil) and then integrated into a repository database to make it available to GIS users and departmental agents.

The municipal population includes persons:

• having their habitual residence in the territory of the municipality, in a dwelling or community;

• detained in the penal institutions of the municipality;

• homeless persons registered in the territory of the municipality;

• usually residing in a mobile dwelling registered in the territory of the municipality. The municipal population of a group of municipalities is equal to the sum of the municipal populations of the municipalities that make up it.

The concept of municipal population now corresponds to the concept of population used in statistics. It does not contain double accounts: every person living in France is counted once and only once. In 1999, the concept of a population without double counting corresponded to the notion of a statistical population. The concept of municipal population is defined by Decree No. 2003-485 published in the Official Journal of 8 June 2003 on the population census (source INSEE).

Collection method Every year, the table is updated. A new field is created and filled in with the data from the last census of the municipal population.

Attributes | field | Alias ▲ Type | – | – — | ‘objectID’ | Unique identifier ‘integer’ | ‘Reg’ | Region code ⋆ ‘char’ -’ | ‘DEP’ | Department Number ▲ ‘char’ — | ‘CV’ | Township Code ▲ ‘char’ | ‘canton_name’ | Township name ▲ ‘char’ | ‘superf’ | Area ▲ ‘double’ ⋆ | ‘p13_pop’ | Municipal population 2016 – Census 2013 ⋆ ‘integer’ ⋆ | ‘p14_pop’ | Municipal population 2017 – 2014 Census ⋆ ‘integer’ — | ‘p15_pop’ | Municipal population 2018 – Census 2015 ⋆ ‘integer’ ⋆ | ‘p16_pop’ | Municipal population 2019 – Census 2016 ⋆ ‘integer’ ⋆ | ‘p17_pop’ | Municipal population 2020 – Census 2017 ⋆ ‘integer’ ⋆ | ‘p18_pop’ | Municipal population 2021 – 2018 Census ▲ ‘integer’ ⋆ | ‘p19_pop’ | Municipal population 2022 – 2019 Census ▲ ‘integer’ ⋆ | ‘p20_pop’ | Municipal population 2023 – 2020 census ⋆ ‘integer’ | ‘p21_pop’ | Municipal population 2024 – Census 2021 ⋆ ‘integer’ -’

For more information, see the metadata on the Isogeo catalog.

In terms of population size, the sex ratio in the United States favors females, although the gender gap is remaining stable. In 2010, there were around 5.17 million more women, with the difference projected to decrease to around 3 million by 2027.

Gender ratios by U.S. state In the United States, the resident population was estimated to be around 331.89 million in 2021. The gender distribution of the nation has remained steady for several years, with women accounting for approximately 51.1 percent of the population since 2013. Females outnumbered males in the majority of states across the country in 2020, and there were eleven states where the gender ratio favored men.

Metro areas by population National differences between male and female populations can also be analyzed by metropolitan areas. In general, a metropolitan area is a region with a main city at its center and adjacent communities that are all connected by social and economic factors. The largest metro areas in the U.S. are New York, Los Angeles, and Chicago. In 2019, there were more women than men in all three of those areas, but Jackson, Missouri was the metro area with the highest share of female population.

According to the 2021 Census, there were 30.4 million (51.0%) women and girls and 29.2 million (49.0%) men and boys in England and Wales.

Over the past 23 years, there were constantly more men than women living on the planet. Of the 8.06 billion people living on the Earth in 2023, 4.05 billion were men and 4.01 billion were women. One-quarter of the world's total population in 2024 was below 15 years.

This web map shows the predominant race by county, zip code, tract, and block group in the United States in 2018. The web map uses Esri's Popular Demographics feature layer. Color denotes the population and size is the count of total population. The pop-up is configured to show the predominant race and count by population for each geography level.For more information about Esri's demographic data, visit the Updated Demographics documentation. For a full list of variables, click the Data tab.

Mid-year population estimates: Scotland and Renfrewshire by single year of age and sex 1981 to 2018.Annual publication of mid-year population estimates by age and sex as at 30 June every year, where population for higher geographies is aggregated from the population estimates for 2011 Data Zones.Data zones are the small area geography used by the Scottish Government to allow statistics to be available across a number of policy areas. Data zones were initially set up to nest within council area boundaries and to have a population of between 500 and 1,000 household residents. As much as possible, data zones were set up to contain households with similar social characteristics and to take into consideration physical boundaries. More information on data zone geography can be found on the Scottish Government website. There are 6,976 data zones in Scotland.Following the 2011 Census the Scottish Government completed a consultation on the redrawing of data zone boundary and finalised the new data zones. 2011 Data Zones were published at the end of 2014.Intermediate zones are built up from data zones. Intermediate zones are the statistical small geographical areas designed to contain a population of between 2,500 and 6,000 household residents. There are 1,235 intermediate zones in Scotland. More information on intermediate geography can be found on the Scottish Government website.For more information on population statistics, please see the NRS website here: https://www.nrscotland.gov.uk/statistics-and-data/statistics/statistics-by-theme/population/population-estimates/mid-year-population-estimatesSingle year of age population estimates are available on the NRS website here: https://www.nrscotland.gov.uk/statistics-and-data/statistics/statistics-by-theme/population/population-estimates/2011-based-special-area-population-estimates/small-area-population-estimates

This dataset features three gridded population dadasets of Germany on a 10m grid. The units are people per grid cell.

Datasets

DE_POP_VOLADJ16: This dataset was produced by disaggregating national census counts to 10m grid cells based on a weighted dasymetric mapping approach. A building density, building height and building type dataset were used as underlying covariates, with an adjusted volume for multi-family residential buildings.

DE_POP_TDBP: This dataset is considered a best product, based on a dasymetric mapping approach that disaggregated municipal census counts to 10m grid cells using the same three underyling covariate layers.

DE_POP_BU: This dataset is based on a bottom-up gridded population estimate. A building density, building height and building type layer were used to compute a living floor area dataset in a 10m grid. Using federal statistics on the average living floor are per capita, this bottom-up estimate was created.

Please refer to the related publication for details.

Temporal extent

The building density layer is based on Sentinel-2 time series data from 2018 and Sentinel-1 time series data from 2017 (doi: http://doi.org/10.1594/PANGAEA.920894)

The building height layer is representative for ca. 2015 (doi: 10.5281/zenodo.4066295)

The building types layer is based on Sentinel-2 time series data from 2018 and Sentinel-1 time series data from 2017 (doi: 10.5281/zenodo.4601219)

The underlying census data is from 2018.

Data format

The data come in tiles of 30x30km (see shapefile). The projection is EPSG:3035. The images are compressed GeoTiff files (*.tif). There is a mosaic in GDAL Virtual format (*.vrt), which can readily be opened in most Geographic Information Systems.

Further information

For further information, please see the publication or contact Franz Schug (franz.schug@geo.hu-berlin.de).
A web-visualization of this dataset is available here.

Publication

Schug, F., Frantz, D., van der Linden, S., & Hostert, P. (2021). Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates. PLOS ONE. DOI: 10.1371/journal.pone.0249044

Acknowledgements

Census data were provided by the German Federal Statistical Offices.

Funding
This dataset was produced with funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950).

Colombia CO: Urban Population data was reported at 43,088,562.000 Person in 2023. This records an increase from the previous number of 42,450,983.000 Person for 2022. Colombia CO: Urban Population data is updated yearly, averaging 23,462,243.000 Person from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 43,088,562.000 Person in 2023 and a record low of 7,220,681.000 Person in 1960. Colombia CO: Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Colombia – Table CO.World Bank.WDI: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. Aggregation of urban and rural population may not add up to total population because of different country coverages.;World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.;Sum;

United States US: Rural Population data was reported at 58,440,535.000 Person in 2017. This records a decrease from the previous number of 58,659,368.000 Person for 2016. United States US: Rural Population data is updated yearly, averaging 59,251,956.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 61,656,881.000 Person in 1990 and a record low of 54,047,876.000 Person in 1969. United States US: Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Population and Urbanization Statistics. Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. Aggregation of urban and rural population may not add up to total population because of different country coverages.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Sum;

This web map shows the predominant race by county, zip code, tract, and block group in the United States in 2018. The web map uses Esri's Popular Demographics feature layer. Color denotes the population and size is the count of total population. The pop-up is configured to show the predominant race and count by population for each geography level.For more information about Esri's demographic data, visit the Updated Demographics documentation. For a full list of variables, click the Data tab.

Russia Population: Percent of Total: Household Income per Capita: Up to 7000 RUB per Month data was reported at 5.000 % in Dec 2018. This records a decrease from the previous number of 5.100 % for Sep 2018. Russia Population: Percent of Total: Household Income per Capita: Up to 7000 RUB per Month data is updated quarterly, averaging 5.900 % from Mar 2016 (Median) to Dec 2018, with 12 observations. The data reached an all-time high of 7.300 % in Mar 2016 and a record low of 5.000 % in Dec 2018. Russia Population: Percent of Total: Household Income per Capita: Up to 7000 RUB per Month data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GA013: Population by Average Household Income.

Mexico MX: Rural Population data was reported at 26,004,442.000 Person in 2017. This records a decrease from the previous number of 26,047,581.000 Person for 2016. Mexico MX: Rural Population data is updated yearly, averaging 24,277,581.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 26,101,387.000 Person in 2013 and a record low of 18,799,605.000 Person in 1960. Mexico MX: Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Population and Urbanization Statistics. Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. Aggregation of urban and rural population may not add up to total population because of different country coverages.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Sum;

This table contains data from the census of the municipal population since 2013 in the French municipalities. Collection Context The data is uploaded to the [INSEE] website(https://www.insee.fr/fr/accueil) and then integrated into a repository database to make it available to GIS users and departmental agents. The municipal population includes persons: * having their habitual residence in the territory of the municipality, in a dwelling or community; * detained in the penal institutions of the municipality; * homeless persons registered in the territory of the municipality; * usually residing in a mobile dwelling registered in the territory of the municipality. The municipal population of a group of municipalities is equal to the sum of the municipal populations of the municipalities that make up it. The concept of municipal population now corresponds to the concept of population used in statistics. It does not contain double accounts: every person living in France is counted once and only once. In 1999, the concept of a population without double counting corresponded to the notion of a statistical population. The concept of municipal population is defined by Decree No. 2003-485 published in the Official Journal of 8 June 2003 on the population census (source INSEE). Collection method Every year, the table is updated. A new field is created and filled in with the data from the last census of the municipal population. Attributes | field | Alias ▲ Type | – | – — | ‘objectID’ | | ‘integer’ | ‘Reg’ | | ‘char’ ▲ | ‘DEP’ | | ‘char’ ▲ | ‘CV’ | | ‘char’ ▲ | ‘CODGEO’ | | ‘char’ ▲ | ‘libgeo’ | | ‘char’ ▲ | ‘p13_pop’ | | ‘double’ ▲ | ‘p14_pop’ | | ‘double’ ▲ | ‘p15_pop’ | | ‘integer’ ▲ | ‘p16_pop’ | Municipal population 2019 – Census 2016 ⋆ ‘integer’ ⋆ | ‘p17_pop’ | Municipal population 2020 – Census 2017 ⋆ ‘integer’ ⋆ | ‘p18_pop’ | Municipal population 2021 – 2018 Census ▲ ‘integer’ ⋆ | ‘p19_pop’ | Municipal population 2022 – 2019 Census ▲ ‘integer’ ⋆ | ‘p20_pop’ | Municipal population 2023 – 2020 census ⋆ ‘integer’ | ‘p21_pop’ | Municipal population 2024 – Census 2021 ⋆ ‘integer’ -’ For more information, see the metadata on the Isogeo catalog.

Virgin Islands (British) VG: Urban Population data was reported at 19,394.000 Person in 2023. This records an increase from the previous number of 18,903.000 Person for 2022. Virgin Islands (British) VG: Urban Population data is updated yearly, averaging 6,469.000 Person from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 19,394.000 Person in 2023 and a record low of 972.000 Person in 1960. Virgin Islands (British) VG: Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Virgin Islands (British) – Table VG.World Bank.WDI: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. Aggregation of urban and rural population may not add up to total population because of different country coverages.;World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.;Sum;