100+ datasets found
  1. Distribution of the global population by continent 2024

    • statista.com
    Updated Mar 27, 2025
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    Statista (2025). Distribution of the global population by continent 2024 [Dataset]. https://www.statista.com/statistics/237584/distribution-of-the-world-population-by-continent/
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    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    In the middle of 2023, about 60 percent of the global population was living in Asia.The total world population amounted to 8.1 billion people on the planet. In other words 4.7 billion people were living in Asia as of 2023. Global populationDue to medical advances, better living conditions and the increase of agricultural productivity, the world population increased rapidly over the past century, and is expected to continue to grow. After reaching eight billion in 2023, the global population is estimated to pass 10 billion by 2060. Africa expected to drive population increase Most of the future population increase is expected to happen in Africa. The countries with the highest population growth rate in 2024 were mostly African countries. While around 1.47 billion people live on the continent as of 2024, this is forecast to grow to 3.9 billion by 2100. This is underlined by the fact that most of the countries wit the highest population growth rate are found in Africa. The growing population, in combination with climate change, puts increasing pressure on the world's resources.

  2. Population of the world 10,000BCE-2100

    • statista.com
    Updated Aug 7, 2024
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    Statista (2024). Population of the world 10,000BCE-2100 [Dataset]. https://www.statista.com/statistics/1006502/global-population-ten-thousand-bc-to-2050/
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    Dataset updated
    Aug 7, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    Until the 1800s, population growth was incredibly slow on a global level. The global population was estimated to have been around 188 million people in the year 1CE, and did not reach one billion until around 1803. However, since the 1800s, a phenomenon known as the demographic transition has seen population growth skyrocket, reaching eight billion people in 2023, and this is expected to peak at over 10 billion in the 2080s.

  3. Global population 1800-2100, by continent

    • statista.com
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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.

  4. World population by age and region 2024

    • statista.com
    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. Hybrid gridded demographic data for the world, 1950-2020 0.25˚ resolution

    • zenodo.org
    nc
    Updated Feb 9, 2022
    + more versions
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    Jonathan Chambers; Jonathan Chambers (2022). Hybrid gridded demographic data for the world, 1950-2020 0.25˚ resolution [Dataset]. http://doi.org/10.5281/zenodo.6011021
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    ncAvailable download formats
    Dataset updated
    Feb 9, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Jonathan Chambers; Jonathan Chambers
    License

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

    Area covered
    World
    Description

    This is a hybrid gridded dataset of demographic data for the world, given as 5-year population bands at a 0.25 degree grid resolution.

    This dataset combines the NASA SEDAC Gridded Population of the World version 4 (GPWv4) with the ISIMIP Histsoc gridded population data and the United Nations World Population Program (WPP) demographic modelling data. Demographic fractions are given for the time period covered by the UN WPP model (1950-2050) while demographic totals are given for the time period covered by the combination of GPWv4 and Histsoc (1950-2020). More detailed can be found on the page of the original version (https://doi.org/10.5281/zenodo.3768003).

    This release increases the resolution to 0.25˚ and is explicitly designed to match with the grid definition of the ERA5 climate reanalysis dataset. For pre-2000 population data, the ISIMIP Histsoc data was upscaled from it's native 0.5˚ resolution.

  6. Country Population and Growth Rate Analysis

    • kaggle.com
    Updated Mar 6, 2025
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    Gaurav Kumar (2025). Country Population and Growth Rate Analysis [Dataset]. https://www.kaggle.com/datasets/gauravkumar2525/country-population-and-growth-rate-analysis
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 6, 2025
    Dataset provided by
    Kaggle
    Authors
    Gaurav Kumar
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    ABOUT

    The Global Population Growth Dataset provides a comprehensive record of population trends across various countries over multiple decades. It includes detailed information such as the country name, ISO3 country code, year-wise population data, population growth, and growth rate. This dataset is valuable for researchers, demographers, policymakers, and data analysts interested in studying population dynamics, demographic trends, and economic development.

    Key features of the dataset:

    ✅ Covers multiple countries and regions worldwide
    ✅ Includes historical and recent population data
    ✅ Provides year-wise population growth and growth rate (%)
    ✅ Categorizes data by country and decade for better trend analysis

    This dataset serves as a crucial resource for analyzing global population trends, understanding demographic shifts, and supporting socio-economic research and policy-making.

    FILE INFORMATION

    The dataset consists of structured records related to country-wise population data, compiled from official sources. Each file contains information on yearly population figures, growth trends, and country-specific data. The structured format makes it useful for researchers, economists, and data scientists studying demographic patterns and changes. The file type is CSV.

    COLUMNS DESCRIPTION

    • Country – The name of the country.
    • ISO3 – The three-letter ISO code of the country.
    • Year – The year corresponding to the population data, useful for trend analysis.
    • Population – The total population of the country for the given year.
    • Population Growth – The absolute increase in population compared to the previous year.
    • Growth Rate (%) – The percentage change in population compared to the previous year.
    • Decade – The decade classification (e.g., 1990s, 2000s) for grouping long-term trends.
  7. d

    Gridded Population of the World, Version 4 (GPWv4): Basic Demographic...

    • catalog.data.gov
    • earthdata.nasa.gov
    • +3more
    Updated Aug 23, 2025
    + more versions
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    SEDAC (2025). Gridded Population of the World, Version 4 (GPWv4): Basic Demographic Characteristics, Revision 11 [Dataset]. https://catalog.data.gov/dataset/gridded-population-of-the-world-version-4-gpwv4-basic-demographic-characteristics-revision
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    Dataset updated
    Aug 23, 2025
    Dataset provided by
    SEDAC
    Area covered
    World
    Description

    The Gridded Population of the World, Version 4 (GPWv4): Basic Demographic Characteristics, Revision 11 consists of estimates of human population by age and sex as counts (number of persons per pixel) and densities (number of persons per square kilometer), consistent with national censuses and population registers, for the year 2010. To estimate the male and female populations by age in 2010, the proportions of males and females in each 5-year age group from ages 0-4 to ages 85+ for the given census year were calculated. These proportions were then applied to the 2010 estimates of the total population to obtain 2010 estimates of male and female populations by age. In some cases, the spatial resolution of the age and sex proportions was coarser than the resolution of the total population estimates to which they were applied. The population density rasters were created by dividing the population count rasters by the land area raster. The data files were produced as global rasters at 30 arc-second (~1 km at the equator) resolution. To enable faster global processing, and in support of research commUnities, the 30 arc-second data were aggregated to 2.5 arc-minute, 15 arc-minute, 30 arc-minute and 1 degree resolutions.

  8. Total population worldwide 1950-2100

    • statista.com
    Updated Jul 28, 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
    Jul 28, 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 prolonged development arc in Sub-Saharan Africa.

  9. T

    Global population survey data set (1950-2018)

    • data.tpdc.ac.cn
    • tpdc.ac.cn
    zip
    Updated Sep 3, 2020
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    Wen DONG (2020). Global population survey data set (1950-2018) [Dataset]. https://data.tpdc.ac.cn/en/data/ece5509f-2a2c-4a11-976e-8d939a419a6c
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    zipAvailable download formats
    Dataset updated
    Sep 3, 2020
    Dataset provided by
    TPDC
    Authors
    Wen DONG
    Area covered
    Description

    "Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.This dataset includes demographic data of 22 countries from 1960 to 2018, including Sri Lanka, Bangladesh, Pakistan, India, Maldives, etc. Data fields include: country, year, population ratio, male ratio, female ratio, population density (km). Source: ( 1 ) United Nations Population Division. World Population Prospects: 2019 Revision. ( 2 ) Census reports and other statistical publications from national statistical offices, ( 3 ) Eurostat: Demographic Statistics, ( 4 ) United Nations Statistical Division. Population and Vital Statistics Reprot ( various years ), ( 5 ) U.S. Census Bureau: International Database, and ( 6 ) Secretariat of the Pacific Community: Statistics and Demography Programme. Periodicity: Annual Statistical Concept and Methodology: Population estimates are usually based on national population censuses. Estimates for the years before and after the census are interpolations or extrapolations based on demographic models. Errors and undercounting occur even in high-income countries. In developing countries errors may be substantial because of limits in the transport, communications, and other resources required to conduct and analyze a full census. The quality and reliability of official demographic data are also affected by public trust in the government, government commitment to full and accurate enumeration, confidentiality and protection against misuse of census data, and census agencies' independence from political influence. Moreover, comparability of population indicators is limited by differences in the concepts, definitions, collection procedures, and estimation methods used by national statistical agencies and other organizations that collect the data. The currentness of a census and the availability of complementary data from surveys or registration systems are objective ways to judge demographic data quality. Some European countries' registration systems offer complete information on population in the absence of a census. The United Nations Statistics Division monitors the completeness of vital registration systems. Some developing countries have made progress over the last 60 years, but others still have deficiencies in civil registration systems. International migration is the only other factor besides birth and death rates that directly determines a country's population growth. Estimating migration is difficult. At any time many people are located outside their home country as tourists, workers, or refugees or for other reasons. Standards for the duration and purpose of international moves that qualify as migration vary, and estimates require information on flows into and out of countries that is difficult to collect. Population projections, starting from a base year are projected forward using assumptions of mortality, fertility, and migration by age and sex through 2050, based on the UN Population Division's World Population Prospects database medium variant."

  10. 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.

  11. N

    White Earth, ND Non-Hispanic Population Breakdown By Race Dataset:...

    • neilsberg.com
    csv, json
    Updated Jul 7, 2024
    + more versions
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    Neilsberg Research (2024). White Earth, ND Non-Hispanic Population Breakdown By Race Dataset: Non-Hispanic Population Counts and Percentages for 7 Racial Categories as Identified by the US Census Bureau // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/e15b7176-2310-11ef-bd92-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 7, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    White Earth, North Dakota
    Variables measured
    Non-Hispanic Asian Population, Non-Hispanic Black Population, Non-Hispanic White Population, Non-Hispanic Some other race Population, Non-Hispanic Two or more races Population, Non-Hispanic American Indian and Alaska Native Population, Non-Hispanic Native Hawaiian and Other Pacific Islander Population, Non-Hispanic Asian Population as Percent of Total Non-Hispanic Population, Non-Hispanic Black Population as Percent of Total Non-Hispanic Population, Non-Hispanic White Population as Percent of Total Non-Hispanic Population, and 4 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) Non-Hispanic population and (b) population as a percentage of the total Non-Hispanic population, we initially analyzed and categorized the data for each of the racial categories idetified by the US Census Bureau. It is ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories, and are part of Non-Hispanic classification. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Non-Hispanic population of White Earth by race. It includes the distribution of the Non-Hispanic population of White Earth across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of White Earth across relevant racial categories.

    Key observations

    With a zero Hispanic population, White Earth is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is White alone with a population of 76 (100% of the total Non-Hispanic population).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race: This column displays the racial categories (for Non-Hispanic) for the White Earth
    • Population: The population of the racial category (for Non-Hispanic) in the White Earth is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each race as a proportion of White Earth total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for White Earth Population by Race & Ethnicity. You can refer the same here

  12. World Population Density

    • icm-directrelief.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated May 20, 2020
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    Direct Relief (2020). World Population Density [Dataset]. https://icm-directrelief.opendata.arcgis.com/datasets/world-population-density
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    Dataset updated
    May 20, 2020
    Dataset authored and provided by
    Direct Reliefhttp://directrelief.org/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    World,
    Description

    This layer was created by Duncan Smith and based on work by the European Commission JRC and CIESIN. A description from his website follows:--------------------A brilliant new dataset produced by the European Commission JRC and CIESIN Columbia University was recently released- the Global Human Settlement Layer (GHSL). This is the first time that detailed and comprehensive population density and built-up area for the world has been available as open data. As usual, my first thought was to make an interactive map, now online at- http://luminocity3d.org/WorldPopDen/The World Population Density map is exploratory, as the dataset is very rich and new, and I am also testing out new methods for navigating statistics at both national and city scales on this site. There are clearly many applications of this data in understanding urban geographies at different scales, urban development, sustainability and change over time.

  13. d

    Global Demographic data | Census Data for Marketing & Retail Analytics |...

    • datarade.ai
    .csv
    Updated Oct 17, 2024
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    GeoPostcodes (2024). Global Demographic data | Census Data for Marketing & Retail Analytics | Consumer Demographic Data [Dataset]. https://datarade.ai/data-products/geopostcodes-population-data-demographic-data-55-year-spa-geopostcodes
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Oct 17, 2024
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Ecuador, Rwanda, South Georgia and the South Sandwich Islands, Kosovo, Saint Martin (French part), Tokelau, Western Sahara, Luxembourg, Sint Maarten (Dutch part), Romania
    Description

    A global database of Census Data that provides an understanding of population distribution at administrative and zip code levels over 55 years, past, present, and future.

    Leverage up-to-date census data with population trends for real estate, market research, audience targeting, and sales territory mapping.

    Self-hosted commercial demographic dataset curated based on trusted sources such as the United Nations or the European Commission, with a 99% match accuracy. The global Census Data is standardized, unified, and ready to use.

    Use cases for the Global Census Database (Consumer Demographic Data)

    • Ad targeting

    • B2B Market Intelligence

    • Customer analytics

    • Real Estate Data Estimations

    • Marketing campaign analysis

    • Demand forecasting

    • Sales territory mapping

    • Retail site selection

    • Reporting

    • Audience targeting

    Census data export methodology

    Our consumer demographic data packages are offered in CSV format. All Demographic data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

    Product Features

    • Historical population data (55 years)

    • Changes in population density

    • Urbanization Patterns

    • Accurate at zip code and administrative level

    • Optimized for easy integration

    • Easy customization

    • Global coverage

    • Updated yearly

    • Standardized and reliable

    • Self-hosted delivery

    • Fully aggregated (ready to use)

    • Rich attributes

    Why do companies choose our demographic databases

    • Standardized and unified demographic data structure

    • Seamless integration in your system

    • Dedicated location data expert

    Note: Custom population data packages are available. Please submit a request via the above contact button for more details.

  14. United Nations Population Division

    • kaggle.com
    Updated Sep 12, 2023
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    Bhanupratap Biswas☑️ (2023). United Nations Population Division [Dataset]. https://www.kaggle.com/datasets/bhanupratapbiswas/united-nations-population-division/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 12, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Bhanupratap Biswas☑️
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    United Nations
    Description

    The United Nations Population Division is a part of the United Nations Department of Economic and Social Affairs (UNDESA). Its primary mission is to provide timely and accurate demographic information and analysis to assist countries in making informed policy decisions related to population and development. The division produces a wide range of demographic data, reports, and publications, and it serves as a key source of information on global population trends.

    Some of the main functions and activities of the United Nations Population Division include:

    1. Data Collection and Analysis: The division collects and compiles data on population, fertility, mortality, migration, and other demographic variables from member states and other international sources. It analyzes this data to track global demographic trends and provides population estimates and projections.

    2. World Population Prospects: The division publishes the "World Population Prospects," which is a comprehensive set of demographic data and projections for countries around the world. This report is regularly updated and is widely used by governments, researchers, and policymakers.

    3. Demographic Research: The division conducts research on a wide range of demographic issues, including aging populations, urbanization, family planning, and more. This research helps to inform policies and programs aimed at addressing demographic challenges.

    4. Technical Assistance: The division provides technical assistance to countries in areas related to population and development, including capacity building, data collection, and analysis.

    5. Reports and Publications: The division produces a variety of reports, publications, and working papers on demographic topics. These resources are made available to the public and serve as valuable references for researchers and policymakers.

    6. Population Conferences: The United Nations Population Division plays a role in organizing and supporting international conferences and events related to population and development issues. These conferences provide a platform for countries to discuss and coordinate actions to address demographic challenges.

    Overall, the United Nations Population Division plays a crucial role in monitoring and understanding global demographic trends and supporting countries in their efforts to develop policies and programs that promote sustainable development and address population-related challenges.

  15. World Population, 1950-1975

    • icpsr.umich.edu
    ascii, sas, spss
    Updated Feb 16, 1992
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    United States. Bureau of the Census. International Statistical Program Center (1992). World Population, 1950-1975 [Dataset]. http://doi.org/10.3886/ICPSR07493.v1
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    ascii, sas, spssAvailable download formats
    Dataset updated
    Feb 16, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census. International Statistical Program Center
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/7493/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/7493/terms

    Time period covered
    1950 - 1975
    Area covered
    Ivory Coast, Comoros, United States, Cuba, Puerto Rico, Africa, Madagascar, Norway, Botswana, Bangladesh
    Description

    This study collected demographic data for 201 nations and political entities worldwide. Variables include population for each year between 1950-1975, plus the figures for birth, death, and growth rates in 1975.

  16. d

    The United Nations Population Statistics Database

    • search.dataone.org
    • knb.ecoinformatics.org
    • +1more
    Updated Apr 30, 2021
    + more versions
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    K. Kovacs; E. Horvath (2021). The United Nations Population Statistics Database [Dataset]. http://doi.org/10.15485/1464266
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    Dataset updated
    Apr 30, 2021
    Dataset provided by
    ESS-DIVE
    Authors
    K. Kovacs; E. Horvath
    Time period covered
    Jan 1, 1950 - Dec 31, 2004
    Area covered
    United Nations
    Description

    The United Nations Energy Statistics Database (UNSTAT) is a comprehensive collection of international energy and demographic statistics prepared by the United Nations Statistics Division. The 2004 version represents the latest in the series of annual compilations which commenced under the title World Energy Supplies in Selected Years, 1929-1950. Supplementary series of monthly and quarterly data on production of energy may be found in the Monthly Bulletin of Statistics. The database contains comprehensive energy statistics for more than 215 countries or areas for production, trade and intermediate and final consumption (end-use) for primary and secondary conventional, non-conventional and new and renewable sources of energy. Mid-year population estimates are included to enable the computation of per capita data. Annual questionnaires sent to national statistical offices serve as the primary source of information. Supplementary data are also compiled from national, regional and international statistical publications. The Statistics Division prepares estimates where official data are incomplete or inconsistent. The database is updated on a continuous basis as new information and revisions are received. This metadata file represents the population statistics during the expressed time. For more information about the country site codes, click this link to the United Nations "Standard country or area codes for statistical use": https://unstats.un.org/unsd/methodology/m49/overview/

  17. International Data Base, World Population: 1983 Extract

    • icpsr.umich.edu
    • search.datacite.org
    ascii
    Updated Feb 16, 1992
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    United States. Bureau of the Census (1992). International Data Base, World Population: 1983 Extract [Dataset]. http://doi.org/10.3886/ICPSR08320.v1
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    asciiAvailable download formats
    Dataset updated
    Feb 16, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/8320/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8320/terms

    Time period covered
    1950 - 1985
    Area covered
    World
    Description

    This aggregate data collection is an extract of the International Data Base (IDB), a computerized central repository of demographic, economic, and social data for all countries of the world. Data available in this collection include total midyear population estimates and projections (1950-1985), percent urban population, estimates and projections of crude birth rate, crude death rate, net migration rate, rate of natural increase, and annual growth rate, infant mortality rate and life expectancy at birth by sex, percent literate by sex, and percent of the labor force in agriculture.

  18. N

    International Falls, MN Non-Hispanic Population Breakdown By Race Dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 21, 2025
    + more versions
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    Neilsberg Research (2025). International Falls, MN Non-Hispanic Population Breakdown By Race Dataset: Non-Hispanic Population Counts and Percentages for 7 Racial Categories as Identified by the US Census Bureau // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/99e9248e-ef82-11ef-9e71-3860777c1fe6/
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    json, csvAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    International Falls, Minnesota
    Variables measured
    Non-Hispanic Asian Population, Non-Hispanic Black Population, Non-Hispanic White Population, Non-Hispanic Some other race Population, Non-Hispanic Two or more races Population, Non-Hispanic American Indian and Alaska Native Population, Non-Hispanic Native Hawaiian and Other Pacific Islander Population, Non-Hispanic Asian Population as Percent of Total Non-Hispanic Population, Non-Hispanic Black Population as Percent of Total Non-Hispanic Population, Non-Hispanic White Population as Percent of Total Non-Hispanic Population, and 4 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) Non-Hispanic population and (b) population as a percentage of the total Non-Hispanic population, we initially analyzed and categorized the data for each of the racial categories idetified by the US Census Bureau. It is ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories, and are part of Non-Hispanic classification. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Non-Hispanic population of International Falls by race. It includes the distribution of the Non-Hispanic population of International Falls across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of International Falls across relevant racial categories.

    Key observations

    Of the Non-Hispanic population in International Falls, the largest racial group is White alone with a population of 5,198 (92.71% of the total Non-Hispanic population).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race: This column displays the racial categories (for Non-Hispanic) for the International Falls
    • Population: The population of the racial category (for Non-Hispanic) in the International Falls is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each race as a proportion of International Falls total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for International Falls Population by Race & Ethnicity. You can refer the same here

  19. Global population distribution 1800-2100, by continent

    • statista.com
    Updated Jul 4, 2024
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    Statista (2024). Global population distribution 1800-2100, by continent [Dataset]. https://www.statista.com/statistics/1306046/world-population-distribution-by-continent-historical/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Between 1800 and 2021, the total population of each continent experienced consistent growth, however as growth rates varied by region, population distribution has fluctuated. In the early 19th century, almost 70 percent of the world's population lived in Asia, while fewer than 10 percent lived in Africa. By the end of this century, it is believed that Asia's share will fall to roughly 45 percent, while Africa's will be on course to reach 40 percent. 19th and 20th centuries Fewer than 2.5 percent of the world's population lived in the Americas in 1800, however the demographic transition, along with waves of migration, would see this share rise to almost 10 percent a century later, peaking at almost 14 percent in the 1960s. Europe's share of the global population also grew in the 19th century, to roughly a quarter in 1900, but fell thereafter and saw the largest relative decline during the 20th century. Asia, which has consistently been the world's most populous continent, saw its population share drop by the mid-1900s, but it has been around 60 percent since the 1970s. It is important to note that the world population has grown from approximately one to eight billion people between 1800 and the 2020s, and that declines in population distribution before 2020 have resulted from different growth rates across the continents. 21st century Africa's population share remained fairly constant throughout this time, fluctuating between 7.5 and 10 percent until the late-1900s, but it is set to see the largest change over the 21st century. As Europe's total population is now falling, and it is estimated that the total populations of Asia and the Americas will fall by the 2050s and 2070s respectively, rapid population growth in Africa will see a significant shift in population distribution. Africa's population is predicted to grow from 1.3 to 3.9 billion people over the next eight decades, and its share of the total population will rise to almost 40 percent. The only other continent whose population will still be growing at this time will be Oceania, although its share of the total population has never been more than 0.7 percent.

  20. d

    Global population structure and demographic history of the grey seal

    • search.dataone.org
    • datadryad.org
    • +1more
    Updated Apr 4, 2025
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    Anastasia Klimova; Caleb D. Phillips; Katharina Fietz; Morten T. Olsen; John Harwood; William Amos; Joseph I. Hoffman (2025). Global population structure and demographic history of the grey seal [Dataset]. http://doi.org/10.5061/dryad.r232g
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    Dataset updated
    Apr 4, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Anastasia Klimova; Caleb D. Phillips; Katharina Fietz; Morten T. Olsen; John Harwood; William Amos; Joseph I. Hoffman
    Time period covered
    Jun 26, 2020
    Description

    Although the grey seal Halichoerus grypus is one of the most familiar and intensively studied of all pinniped species, its global population structure remains to be elucidated. Little is also known about how the species as a whole may have historically responded to climate-driven changes in habitat availability and anthropogenic exploitation. We therefore analysed samples from over 1500 individuals collected from 22 colonies spanning the Western and Eastern Atlantic and the Baltic Sea regions, represented by 350bp of the mitochondrial hypervariable region and up to nine microsatellites. Strong population structure was observed at both types of marker, and highly asymmetrical patterns of gene flow were also inferred, with the Orkney islands being identified as a source of emigrants to other areas in the Eastern Atlantic. The Baltic and Eastern Atlantic regions were estimated to have diverged a little over 10,000 years ago, consistent with the last proposed isolation of the Baltic Sea. Ap...

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Statista (2025). Distribution of the global population by continent 2024 [Dataset]. https://www.statista.com/statistics/237584/distribution-of-the-world-population-by-continent/
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Distribution of the global population by continent 2024

Explore at:
46 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 27, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
World
Description

In the middle of 2023, about 60 percent of the global population was living in Asia.The total world population amounted to 8.1 billion people on the planet. In other words 4.7 billion people were living in Asia as of 2023. Global populationDue to medical advances, better living conditions and the increase of agricultural productivity, the world population increased rapidly over the past century, and is expected to continue to grow. After reaching eight billion in 2023, the global population is estimated to pass 10 billion by 2060. Africa expected to drive population increase Most of the future population increase is expected to happen in Africa. The countries with the highest population growth rate in 2024 were mostly African countries. While around 1.47 billion people live on the continent as of 2024, this is forecast to grow to 3.9 billion by 2100. This is underlined by the fact that most of the countries wit the highest population growth rate are found in Africa. The growing population, in combination with climate change, puts increasing pressure on the world's resources.

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