100+ datasets found
  1. census-bureau-international

    • kaggle.com
    zip
    Updated May 6, 2020
    + more versions
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    Google BigQuery (2020). census-bureau-international [Dataset]. https://www.kaggle.com/bigquery/census-bureau-international
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    zip(0 bytes)Available download formats
    Dataset updated
    May 6, 2020
    Dataset provided by
    Googlehttp://google.com/
    BigQueryhttps://cloud.google.com/bigquery
    Authors
    Google BigQuery
    Description

    Context

    The United States Census Bureau’s international dataset provides estimates of country populations since 1950 and projections through 2050. Specifically, the dataset includes midyear population figures broken down by age and gender assignment at birth. Additionally, time-series data is provided for attributes including fertility rates, birth rates, death rates, and migration rates.

    Querying BigQuery tables

    You can use the BigQuery Python client library to query tables in this dataset in Kernels. Note that methods available in Kernels are limited to querying data. Tables are at bigquery-public-data.census_bureau_international.

    Sample Query 1

    What countries have the longest life expectancy? In this query, 2016 census information is retrieved by joining the mortality_life_expectancy and country_names_area tables for countries larger than 25,000 km2. Without the size constraint, Monaco is the top result with an average life expectancy of over 89 years!

    standardSQL

    SELECT age.country_name, age.life_expectancy, size.country_area FROM ( SELECT country_name, life_expectancy FROM bigquery-public-data.census_bureau_international.mortality_life_expectancy WHERE year = 2016) age INNER JOIN ( SELECT country_name, country_area FROM bigquery-public-data.census_bureau_international.country_names_area where country_area > 25000) size ON age.country_name = size.country_name ORDER BY 2 DESC /* Limit removed for Data Studio Visualization */ LIMIT 10

    Sample Query 2

    Which countries have the largest proportion of their population under 25? Over 40% of the world’s population is under 25 and greater than 50% of the world’s population is under 30! This query retrieves the countries with the largest proportion of young people by joining the age-specific population table with the midyear (total) population table.

    standardSQL

    SELECT age.country_name, SUM(age.population) AS under_25, pop.midyear_population AS total, ROUND((SUM(age.population) / pop.midyear_population) * 100,2) AS pct_under_25 FROM ( SELECT country_name, population, country_code FROM bigquery-public-data.census_bureau_international.midyear_population_agespecific WHERE year =2017 AND age < 25) age INNER JOIN ( SELECT midyear_population, country_code FROM bigquery-public-data.census_bureau_international.midyear_population WHERE year = 2017) pop ON age.country_code = pop.country_code GROUP BY 1, 3 ORDER BY 4 DESC /* Remove limit for visualization*/ LIMIT 10

    Sample Query 3

    The International Census dataset contains growth information in the form of birth rates, death rates, and migration rates. Net migration is the net number of migrants per 1,000 population, an important component of total population and one that often drives the work of the United Nations Refugee Agency. This query joins the growth rate table with the area table to retrieve 2017 data for countries greater than 500 km2.

    SELECT growth.country_name, growth.net_migration, CAST(area.country_area AS INT64) AS country_area FROM ( SELECT country_name, net_migration, country_code FROM bigquery-public-data.census_bureau_international.birth_death_growth_rates WHERE year = 2017) growth INNER JOIN ( SELECT country_area, country_code FROM bigquery-public-data.census_bureau_international.country_names_area

    Update frequency

    Historic (none)

    Dataset source

    United States Census Bureau

    Terms of use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

    See the GCP Marketplace listing for more details and sample queries: https://console.cloud.google.com/marketplace/details/united-states-census-bureau/international-census-data

  2. General Population Census of 1962 - IPUMS Subset - France

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Apr 18, 2019
    + more versions
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    INSEE (Institut National de la Statisque et des Etudes Economiques) (2019). General Population Census of 1962 - IPUMS Subset - France [Dataset]. https://microdata.worldbank.org/index.php/catalog/2142
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    Dataset updated
    Apr 18, 2019
    Dataset provided by
    The National Institute of Statistics and Economic Studieshttp://insee.fr/
    Minnesota Population Center
    Time period covered
    1962
    Area covered
    France
    Description

    Abstract

    IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

    The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

    Geographic coverage

    National coverage

    Analysis unit

    Dwelling

    UNITS IDENTIFIED: - Dwellings: No - Households: Yes - Individuals: Yes - Group quarters: Yes

    UNIT DESCRIPTIONS: - Group quarters: A collective household is a group of persons that does not live in an ordinary household, but lives in a collective establishment, sharing meal times.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    SAMPLE DESIGN: Systematic manual sorting into lots with different sample units, according to target population.

    SAMPLE UNIT: Private dwellings and individuals for group quarters and compte a part

    SAMPLE FRACTION: 5%

    SAMPLE UNIVERSE: The microdata sample includes mainland France and Corsica.

    SAMPLE SIZE (person records): 2,320,901

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Separate forms for buildings, group quarters (collective households), group quarters (compte a part), private households, and boats. Four forms for individuals (living in group quarters and private dwellings; two different forms for people compte a part; living in boats).

  3. United States U.S. Census Bureau Index of Economic Activity - IDEA

    • ceicdata.com
    Updated Dec 30, 2023
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    CEICdata.com (2023). United States U.S. Census Bureau Index of Economic Activity - IDEA [Dataset]. https://www.ceicdata.com/en/united-states/us-census-bureau-index-of-economic-activity
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    Dataset updated
    Dec 30, 2023
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Description

    U.S. Census Bureau Index of Economic Activity - IDEA data was reported at -0.700 % in Apr 2025. This records a decrease from the previous number of 0.600 % for Mar 2025. U.S. Census Bureau Index of Economic Activity - IDEA data is updated monthly, averaging 0.070 % from Aug 2004 (Median) to Apr 2025, with 249 observations. The data reached an all-time high of 2.540 % in Mar 2022 and a record low of -7.710 % in Apr 2020. U.S. Census Bureau Index of Economic Activity - IDEA data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.A: U.S. Census Bureau Index of Economic Activity.

  4. World population by age and region 2024

    • statista.com
    • ai-chatbox.pro
    Updated Mar 11, 2025
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    Statista (2025). World population by age and region 2024 [Dataset]. https://www.statista.com/statistics/265759/world-population-by-age-and-region/
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    Dataset updated
    Mar 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    Globally, about 25 percent of the population is under 15 years of age and 10 percent is over 65 years of age. Africa has the youngest population worldwide. In Sub-Saharan Africa, more than 40 percent of the population is below 15 years, and only three percent are above 65, indicating the low life expectancy in several of the countries. In Europe, on the other hand, a higher share of the population is above 65 years than the population under 15 years. Fertility rates The high share of children and youth in Africa is connected to the high fertility rates on the continent. For instance, South Sudan and Niger have the highest population growth rates globally. However, about 50 percent of the world’s population live in countries with low fertility, where women have less than 2.1 children. Some countries in Europe, like Latvia and Lithuania, have experienced a population decline of one percent, and in the Cook Islands, it is even above two percent. In Europe, the majority of the population was previously working-aged adults with few dependents, but this trend is expected to reverse soon, and it is predicted that by 2050, the older population will outnumber the young in many developed countries. Growing global population As of 2025, there are 8.1 billion people living on the planet, and this is expected to reach more than nine billion before 2040. Moreover, the global population is expected to reach 10 billions around 2060, before slowing and then even falling slightly by 2100. As the population growth rates indicate, a significant share of the population increase will happen in Africa.

  5. Global population 1800-2100, by continent

    • statista.com
    • ai-chatbox.pro
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    Statista, Global population 1800-2100, by continent [Dataset]. https://www.statista.com/statistics/997040/world-population-by-continent-1950-2020/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    The world's population first reached one billion people in 1805, and reached eight billion in 2022, and will peak at almost 10.2 billion by the end of the century. Although it took thousands of years to reach one billion people, it did so at the beginning of a phenomenon known as the demographic transition; from this point onwards, population growth has skyrocketed, and since the 1960s the population has increased by one billion people every 12 to 15 years. The demographic transition sees a sharp drop in mortality due to factors such as vaccination, sanitation, and improved food supply; the population boom that follows is due to increased survival rates among children and higher life expectancy among the general population; and fertility then drops in response to this population growth. Regional differences The demographic transition is a global phenomenon, but it has taken place at different times across the world. The industrialized countries of Europe and North America were the first to go through this process, followed by some states in the Western Pacific. Latin America's population then began growing at the turn of the 20th century, but the most significant period of global population growth occurred as Asia progressed in the late-1900s. As of the early 21st century, almost two-thirds of the world's population lives in Asia, although this is set to change significantly in the coming decades. Future growth The growth of Africa's population, particularly in Sub-Saharan Africa, will have the largest impact on global demographics in this century. From 2000 to 2100, it is expected that Africa's population will have increased by a factor of almost five. It overtook Europe in size in the late 1990s, and overtook the Americas a few years later. In contrast to Africa, Europe's population is now in decline, as birth rates are consistently below death rates in many countries, especially in the south and east, resulting in natural population decline. Similarly, the population of the Americas and Asia are expected to go into decline in the second half of this century, and only Oceania's population will still be growing alongside Africa. By 2100, the world's population will have over three billion more than today, with the vast majority of this concentrated in Africa. Demographers predict that climate change is exacerbating many of the challenges that currently hinder progress in Africa, such as political and food instability; if Africa's transition is prolonged, then it may result in further population growth that would place a strain on the region's resources, however, curbing this growth earlier would alleviate some of the pressure created by climate change.

  6. d

    Africa Population Distribution Database

    • search.dataone.org
    Updated Nov 17, 2014
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    Deichmann, Uwe; Nelson, Andy (2014). Africa Population Distribution Database [Dataset]. https://search.dataone.org/view/Africa_Population_Distribution_Database.xml
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    Dataset updated
    Nov 17, 2014
    Dataset provided by
    Regional and Global Biogeochemical Dynamics Data (RGD)
    Authors
    Deichmann, Uwe; Nelson, Andy
    Time period covered
    Jan 1, 1960 - Dec 31, 1997
    Area covered
    Description

    The Africa Population Distribution Database provides decadal population density data for African administrative units for the period 1960-1990. The databsae was prepared for the United Nations Environment Programme / Global Resource Information Database (UNEP/GRID) project as part of an ongoing effort to improve global, spatially referenced demographic data holdings. The database is useful for a variety of applications including strategic-level agricultural research and applications in the analysis of the human dimensions of global change.

    This documentation describes the third version of a database of administrative units and associated population density data for Africa. The first version was compiled for UNEP's Global Desertification Atlas (UNEP, 1997; Deichmann and Eklundh, 1991), while the second version represented an update and expansion of this first product (Deichmann, 1994; WRI, 1995). The current work is also related to National Center for Geographic Information and Analysis (NCGIA) activities to produce a global database of subnational population estimates (Tobler et al., 1995), and an improved database for the Asian continent (Deichmann, 1996). The new version for Africa provides considerably more detail: more than 4700 administrative units, compared to about 800 in the first and 2200 in the second version. In addition, for each of these units a population estimate was compiled for 1960, 70, 80 and 90 which provides an indication of past population dynamics in Africa. Forthcoming are population count data files as download options.

    African population density data were compiled from a large number of heterogeneous sources, including official government censuses and estimates/projections derived from yearbooks, gazetteers, area handbooks, and other country studies. The political boundaries template (PONET) of the Digital Chart of the World (DCW) was used delineate national boundaries and coastlines for African countries.

    For more information on African population density and administrative boundary data sets, see metadata files at [http://na.unep.net/datasets/datalist.php3] which provide information on file identification, format, spatial data organization, distribution, and metadata reference.

    References:

    Deichmann, U. 1994. A medium resolution population database for Africa, Database documentation and digital database, National Center for Geographic Information and Analysis, University of California, Santa Barbara.

    Deichmann, U. and L. Eklundh. 1991. Global digital datasets for land degradation studies: A GIS approach, GRID Case Study Series No. 4, Global Resource Information Database, United Nations Environment Programme, Nairobi.

    UNEP. 1997. World Atlas of Desertification, 2nd Ed., United Nations Environment Programme, Edward Arnold Publishers, London.

    WRI. 1995. Africa data sampler, Digital database and documentation, World Resources Institute, Washington, D.C.

  7. Total population worldwide 1950-2100

    • statista.com
    • ai-chatbox.pro
    Updated Feb 24, 2025
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    Statista (2025). Total population worldwide 1950-2100 [Dataset]. https://www.statista.com/statistics/805044/total-population-worldwide/
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    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    The world population surpassed eight billion people in 2022, having doubled from its figure less than 50 years previously. Looking forward, it is projected that the world population will reach nine billion in 2038, and 10 billion in 2060, but it will peak around 10.3 billion in the 2080s before it then goes into decline. Regional variations The global population has seen rapid growth since the early 1800s, due to advances in areas such as food production, healthcare, water safety, education, and infrastructure, however, these changes did not occur at a uniform time or pace across the world. Broadly speaking, the first regions to undergo their demographic transitions were Europe, North America, and Oceania, followed by Latin America and Asia (although Asia's development saw the greatest variation due to its size), while Africa was the last continent to undergo this transformation. Because of these differences, many so-called "advanced" countries are now experiencing population decline, particularly in Europe and East Asia, while the fastest population growth rates are found in Sub-Saharan Africa. In fact, the roughly two billion difference in population between now and the 2080s' peak will be found in Sub-Saharan Africa, which will rise from 1.2 billion to 3.2 billion in this time (although populations in other continents will also fluctuate). Changing projections The United Nations releases their World Population Prospects report every 1-2 years, and this is widely considered the foremost demographic dataset in the world. However, recent years have seen a notable decline in projections when the global population will peak, and at what number. Previous reports in the 2010s had suggested a peak of over 11 billion people, and that population growth would continue into the 2100s, however a sooner and shorter peak is now projected. Reasons for this include a more rapid population decline in East Asia and Europe, particularly China, as well as a prolongued development arc in Sub-Saharan Africa.

  8. Population Census 1990 - IPUMS Subset - Indonesia

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated May 1, 2018
    + more versions
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    Central Bureau of Statistics (2018). Population Census 1990 - IPUMS Subset - Indonesia [Dataset]. https://microdata.worldbank.org/index.php/catalog/1055
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    Dataset updated
    May 1, 2018
    Dataset provided by
    Central Bureau of Statisticshttp://cbs.gov.np/
    Minnesota Population Center
    Time period covered
    1990
    Area covered
    Indonesia
    Description

    Abstract

    IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

    The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

    Geographic coverage

    National coverage

    Analysis unit

    Household

    UNITS IDENTIFIED: - Dwellings: No - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: Yes (institutional)

    UNIT DESCRIPTIONS: - Dwellings: Not available - Households: An individual or group of people living who inhabit part or all of the physical or census building who make common provisions for food and other living essentials. - Group quarters: Institutional households consist of individuals in a residence that manages everyday needs, usually arranged by an organization such as a non-profit institution, school, the military, etc. Includes reformatories, prisons and similar living quarters. Also includes households that rent rooms or parts of buildings lodging ten or more people.

    Universe

    All population residing in the geographic area of Indonesia regardless of residence status. Homeless, boat people, etc were enumerated.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    MICRODATA SOURCE: Statistics Indonesia

    SAMPLE DESIGN: Data are derived from the sample of census blocks that received the long form questionnaire, stratified by urban-rural status.

    SAMPLE UNIT: Census block

    SAMPLE FRACTION: 0.51%

    SAMPLE SIZE (person records): 912,544

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Long form questionnaire SP90-S containing houseing and individual questions distributed to 5% of households.

  9. Global population 2000-2023, by gender

    • statista.com
    Updated May 30, 2025
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    Statista (2025). Global population 2000-2023, by gender [Dataset]. https://www.statista.com/statistics/1328107/global-population-gender/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    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.

  10. T

    World - Population, Female (% Of Total)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). World - Population, Female (% Of Total) [Dataset]. https://tradingeconomics.com/world/population-female-percent-of-total-wb-data.html
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    json, xml, csv, excelAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    World, World
    Description

    Population, female (% of total population) in World was reported at 49.71 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Population, female (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  11. Brazil Population Census: Northeast: Paraiba

    • ceicdata.com
    Updated Oct 26, 2019
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    CEICdata.com (2019). Brazil Population Census: Northeast: Paraiba [Dataset]. https://www.ceicdata.com/en/brazil/population-census-by-state/population-census-northeast-paraiba
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    Dataset updated
    Oct 26, 2019
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jul 1, 1920 - Jul 1, 2022
    Area covered
    Brazil
    Variables measured
    Population
    Description

    Population Census: Northeast: Paraiba data was reported at 3,974,687.000 Person in 2022. This records an increase from the previous number of 3,766,528.000 Person for 2010. Population Census: Northeast: Paraiba data is updated yearly, averaging 2,810,032.000 Person from Jul 1900 (Median) to 2022, with 13 observations. The data reached an all-time high of 3,974,687.000 Person in 2022 and a record low of 490,784.000 Person in 1900. Population Census: Northeast: Paraiba data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GAC008: Population Census: by State.

  12. r

    The Global Risk Census

    • riskcensus.org
    Updated Mar 7, 2022
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    The Global Risk Census (2022). The Global Risk Census [Dataset]. https://riskcensus.org/
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    Dataset updated
    Mar 7, 2022
    Dataset authored and provided by
    The Global Risk Census
    Description

    The Global Risk Census empowers people all around the world, to observe local conditions that risk scientists can use to identify risks to people, home, community, country and indeed the entire planet.

  13. QuickFacts: On Top of the World CDP, Florida

    • census.gov
    csv
    Updated Jul 1, 2024
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    United States Census Bureau > Communications Directorate - Center for New Media and Promotion (2024). QuickFacts: On Top of the World CDP, Florida [Dataset]. https://www.census.gov/quickfacts/fact/table/ontopoftheworldcdpflorida/AFN120222
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    csvAvailable download formats
    Dataset updated
    Jul 1, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    United States Census Bureau > Communications Directorate - Center for New Media and Promotion
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    World, Florida
    Description

    U.S. Census Bureau QuickFacts statistics for On Top of the World CDP, Florida. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

  14. H

    The Global Subnational Census Database (SUB-TRUST Census)

    • dataverse.harvard.edu
    Updated Apr 3, 2025
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    Lisa Dellmuth; Evelina Jonsson (2025). The Global Subnational Census Database (SUB-TRUST Census) [Dataset]. http://doi.org/10.7910/DVN/FWYRBW
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 3, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Lisa Dellmuth; Evelina Jonsson
    License

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

    Description

    The Global Subnational Population Census Database (SUB-TRUST Census) was compiled for the purpose of calculating poststratification weights used to adjust for subnationally unrepresentative survey data. The population census data were sourced from various census databases. The following statistical offices provided the underlying data: national statistics offices, Integrated Public Use Microdata Series (IPUMS) International and the Statistical Office of the European Communities (Eurostat) (see Table 1.2). Population counts for more than 170 countries spanning 1930 to 2024 were collected according to two demographic variables—gender and age groups (0-17, 18-29, 30-49, 50-64, and 65+)—for each subnational unit. As censuses are typically carried out decennially, we aimed to collect population data for each country at ten-year intervals. SUB-TRUST Census is fully harmonized with SUB-TRUST codes and labels.

  15. QuickFacts: World Golf Village CDP, Florida

    • census.gov
    csv
    Updated Jul 1, 2024
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    United States Census Bureau > Communications Directorate - Center for New Media and Promotion (2024). QuickFacts: World Golf Village CDP, Florida [Dataset]. https://www.census.gov/quickfacts/fact/map/worldgolfvillagecdpflorida/HSG010222
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    csvAvailable download formats
    Dataset updated
    Jul 1, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    United States Census Bureau > Communications Directorate - Center for New Media and Promotion
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    World Golf Village, Florida
    Description

    U.S. Census Bureau QuickFacts statistics for World Golf Village CDP, Florida. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

  16. Brazil Population Census: Age 20 to 24 Years: Age 21 Years

    • ceicdata.com
    + more versions
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    CEICdata.com, Brazil Population Census: Age 20 to 24 Years: Age 21 Years [Dataset]. https://www.ceicdata.com/en/brazil/population-census-by-age/population-census-age-20-to-24-years-age-21-years
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jul 1, 2000 - Jul 1, 2010
    Area covered
    Brazil
    Variables measured
    Population
    Description

    Brazil Population Census: Age 20 to 24 Years: Age 21 Years data was reported at 3,421,736.000 Person in 2010. This records an increase from the previous number of 3,268,804.000 Person for 2000. Brazil Population Census: Age 20 to 24 Years: Age 21 Years data is updated yearly, averaging 3,345,270.000 Person from Jul 2000 (Median) to 2010, with 2 observations. The data reached an all-time high of 3,421,736.000 Person in 2010 and a record low of 3,268,804.000 Person in 2000. Brazil Population Census: Age 20 to 24 Years: Age 21 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAC002: Population Census: by Age.

  17. NOAA/WDS Paleoclimatology - A Global Planktic Foraminifer Census data set...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Mar 1, 2025
    + more versions
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    (Point of Contact); NOAA World Data Service for Paleoclimatology (Point of Contact) (2025). NOAA/WDS Paleoclimatology - A Global Planktic Foraminifer Census data set for the Pliocene Ocean, Addendum [Dataset]. https://catalog.data.gov/dataset/noaa-wds-paleoclimatology-a-global-planktic-foraminifer-census-data-set-for-the-pliocene-ocean-2
    Explore at:
    Dataset updated
    Mar 1, 2025
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Description

    This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Paleoceanography. The data include parameters of paleoceanography with a geographic location of North Atlantic Ocean. The time period coverage is from 3349290 to 3161877 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

  18. F

    U.S. Exports of Goods by F.A.S. Basis to World

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
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    (2025). U.S. Exports of Goods by F.A.S. Basis to World [Dataset]. https://fred.stlouisfed.org/series/EXP0015
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    World, United States
    Description

    Graph and download economic data for U.S. Exports of Goods by F.A.S. Basis to World (EXP0015) from Jan 1987 to May 2025 about exports, World, goods, and USA.

  19. QuickFacts: Leisure World CDP, Maryland

    • census.gov
    csv
    Updated Jul 1, 2024
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    United States Census Bureau > Communications Directorate - Center for New Media and Promotion (2024). QuickFacts: Leisure World CDP, Maryland [Dataset]. https://www.census.gov/quickfacts/geo/chart/leisureworldcdpmaryland/EDU635222
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 1, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    United States Census Bureau > Communications Directorate - Center for New Media and Promotion
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Leisure World, Maryland
    Description

    U.S. Census Bureau QuickFacts statistics for Leisure World CDP, Maryland. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

  20. F

    Number of Identified Exporters to All Countries from United States

    • fred.stlouisfed.org
    json
    Updated Jan 29, 2021
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    (2021). Number of Identified Exporters to All Countries from United States [Dataset]. https://fred.stlouisfed.org/series/USWLDA475SCEN
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 29, 2021
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Number of Identified Exporters to All Countries from United States (USWLDA475SCEN) from 1992 to 2017 about exports, World, business, and USA.

Share
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Google BigQuery (2020). census-bureau-international [Dataset]. https://www.kaggle.com/bigquery/census-bureau-international
Organization logoOrganization logo

census-bureau-international

World population estimates 1950 through 2050

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zip(0 bytes)Available download formats
Dataset updated
May 6, 2020
Dataset provided by
Googlehttp://google.com/
BigQueryhttps://cloud.google.com/bigquery
Authors
Google BigQuery
Description

Context

The United States Census Bureau’s international dataset provides estimates of country populations since 1950 and projections through 2050. Specifically, the dataset includes midyear population figures broken down by age and gender assignment at birth. Additionally, time-series data is provided for attributes including fertility rates, birth rates, death rates, and migration rates.

Querying BigQuery tables

You can use the BigQuery Python client library to query tables in this dataset in Kernels. Note that methods available in Kernels are limited to querying data. Tables are at bigquery-public-data.census_bureau_international.

Sample Query 1

What countries have the longest life expectancy? In this query, 2016 census information is retrieved by joining the mortality_life_expectancy and country_names_area tables for countries larger than 25,000 km2. Without the size constraint, Monaco is the top result with an average life expectancy of over 89 years!

standardSQL

SELECT age.country_name, age.life_expectancy, size.country_area FROM ( SELECT country_name, life_expectancy FROM bigquery-public-data.census_bureau_international.mortality_life_expectancy WHERE year = 2016) age INNER JOIN ( SELECT country_name, country_area FROM bigquery-public-data.census_bureau_international.country_names_area where country_area > 25000) size ON age.country_name = size.country_name ORDER BY 2 DESC /* Limit removed for Data Studio Visualization */ LIMIT 10

Sample Query 2

Which countries have the largest proportion of their population under 25? Over 40% of the world’s population is under 25 and greater than 50% of the world’s population is under 30! This query retrieves the countries with the largest proportion of young people by joining the age-specific population table with the midyear (total) population table.

standardSQL

SELECT age.country_name, SUM(age.population) AS under_25, pop.midyear_population AS total, ROUND((SUM(age.population) / pop.midyear_population) * 100,2) AS pct_under_25 FROM ( SELECT country_name, population, country_code FROM bigquery-public-data.census_bureau_international.midyear_population_agespecific WHERE year =2017 AND age < 25) age INNER JOIN ( SELECT midyear_population, country_code FROM bigquery-public-data.census_bureau_international.midyear_population WHERE year = 2017) pop ON age.country_code = pop.country_code GROUP BY 1, 3 ORDER BY 4 DESC /* Remove limit for visualization*/ LIMIT 10

Sample Query 3

The International Census dataset contains growth information in the form of birth rates, death rates, and migration rates. Net migration is the net number of migrants per 1,000 population, an important component of total population and one that often drives the work of the United Nations Refugee Agency. This query joins the growth rate table with the area table to retrieve 2017 data for countries greater than 500 km2.

SELECT growth.country_name, growth.net_migration, CAST(area.country_area AS INT64) AS country_area FROM ( SELECT country_name, net_migration, country_code FROM bigquery-public-data.census_bureau_international.birth_death_growth_rates WHERE year = 2017) growth INNER JOIN ( SELECT country_area, country_code FROM bigquery-public-data.census_bureau_international.country_names_area

Update frequency

Historic (none)

Dataset source

United States Census Bureau

Terms of use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

See the GCP Marketplace listing for more details and sample queries: https://console.cloud.google.com/marketplace/details/united-states-census-bureau/international-census-data

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