49 datasets found
  1. World Population by Countries (2025)

    • kaggle.com
    zip
    Updated Jan 23, 2025
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    Samith Chimminiyan (2025). World Population by Countries (2025) [Dataset]. https://www.kaggle.com/datasets/samithsachidanandan/world-population-by-countries-2025
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    zip(9000 bytes)Available download formats
    Dataset updated
    Jan 23, 2025
    Authors
    Samith Chimminiyan
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Area covered
    World
    Description

    Description

    This Dataset contains details of World Population by country. According to the worldometer, the current population of the world is 8.2 billion people. Highest populated country is India followed by China and USA.

    Attribute Information

    • Rank : Country Rank by Population.
    • Country : Name of the Country.
    • Population(2024) : Current Population of each Country.
    • Yearly Change : Percentage Yearly Change in Population.
    • Net Change : Net change in the Population.
    • Density (P/Km²) : Population density (population per square km)
    • Land Area(Km²) : Total land area of the Country.
    • Migrants (net) : Total number of migrants.
    • Fertility Rate : Fertility rate
    • Median Age : Median age of the population
    • Urban Pop % : Percentage of urban population
    • World Share : Share to the word with population.

    Acknowledgements

    https://www.worldometers.info/world-population/population-by-country/

    Image by Gerd Altmann from Pixabay

  2. world_population

    • kaggle.com
    zip
    Updated Feb 8, 2023
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    farzam ajili (2023). world_population [Dataset]. https://www.kaggle.com/datasets/farzamajili/world-population
    Explore at:
    zip(16061 bytes)Available download formats
    Dataset updated
    Feb 8, 2023
    Authors
    farzam ajili
    Area covered
    World
    Description

    Context The current US Census Bureau world population estimate in June 2019 shows that the current global population is 7,577,130,400 people on earth, which far exceeds the world population of 7.2 billion in 2015. Our own estimate based on UN data shows the world's population surpassing 7.7 billion.

    China is the most populous country in the world with a population exceeding 1.4 billion. It is one of just two countries with a population of more than 1 billion, with India being the second. As of 2018, India has a population of over 1.355 billion people, and its population growth is expected to continue through at least 2050. By the year 2030, the country of India is expected to become the most populous country in the world. This is because India’s population will grow, while China is projected to see a loss in population.

    The following 11 countries that are the most populous in the world each have populations exceeding 100 million. These include the United States, Indonesia, Brazil, Pakistan, Nigeria, Bangladesh, Russia, Mexico, Japan, Ethiopia, and the Philippines. Of these nations, all are expected to continue to grow except Russia and Japan, which will see their populations drop by 2030 before falling again significantly by 2050.

    Many other nations have populations of at least one million, while there are also countries that have just thousands. The smallest population in the world can be found in Vatican City, where only 801 people reside.

    In 2018, the world’s population growth rate was 1.12%. Every five years since the 1970s, the population growth rate has continued to fall. The world’s population is expected to continue to grow larger but at a much slower pace. By 2030, the population will exceed 8 billion. In 2040, this number will grow to more than 9 billion. In 2055, the number will rise to over 10 billion, and another billion people won’t be added until near the end of the century. The current annual population growth estimates from the United Nations are in the millions - estimating that over 80 million new lives are added each year.

    This population growth will be significantly impacted by nine specific countries which are situated to contribute to the population growing more quickly than other nations. These nations include the Democratic Republic of the Congo, Ethiopia, India, Indonesia, Nigeria, Pakistan, Uganda, the United Republic of Tanzania, and the United States of America. Particularly of interest, India is on track to overtake China's position as the most populous country by 2030. Additionally, multiple nations within Africa are expected to double their populations before fertility rates begin to slow entirely.

    Content In this Dataset, we have Historical Population data for every Country/Territory in the world by different parameters like Area Size of the Country/Territory, Name of the Continent, Name of the Capital, Density, Population Growth Rate, Ranking based on Population, World Population Percentage, etc.

  3. Total population of India 2030

    • statista.com
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    Statista, Total population of India 2030 [Dataset]. https://www.statista.com/statistics/263766/total-population-of-india/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    The statistic shows the total population of India from 2020 to 2030. In 2024, the estimated total population in India amounted to approximately 1.44 billion people. Total population in India India currently has the second-largest population in the world and is projected to overtake top-ranking China within forty years. Its residents comprise more than one-seventh of the entire world’s population, and despite a slowly decreasing fertility rate (which still exceeds the replacement rate and keeps the median age of the population relatively low), an increasing life expectancy adds to an expanding population. In comparison with other countries whose populations are decreasing, such as Japan, India has a relatively small share of aged population, which indicates the probability of lower death rates and higher retention of the existing population. With a land mass of less than half that of the United States and a population almost four times greater, India has recognized potential problems of its growing population. Government attempts to implement family planning programs have achieved varying degrees of success. Initiatives such as sterilization programs in the 1970s have been blamed for creating general antipathy to family planning, but the combined efforts of various family planning and contraception programs have helped halve fertility rates since the 1960s. The population growth rate has correspondingly shrunk as well, but has not yet reached less than one percent growth per year. As home to thousands of ethnic groups, hundreds of languages, and numerous religions, a cohesive and broadly-supported effort to reduce population growth is difficult to create. Despite that, India is one country to watch in coming years. It is also a growing economic power; among other measures, its GDP per capita was expected to triple between 2003 and 2013 and was listed as the third-ranked country for its share of the global gross domestic product.

  4. f

    Forecasting Results of the population structures for China, India, and...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Apr 11, 2019
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    Wang, Zhichao; Li, Yan; Wang, Huiwen; Jiang, Zhenyu; Wei, Yigang (2019). Forecasting Results of the population structures for China, India, and Vietnam (Unit: %). [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000141522
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    Dataset updated
    Apr 11, 2019
    Authors
    Wang, Zhichao; Li, Yan; Wang, Huiwen; Jiang, Zhenyu; Wei, Yigang
    Area covered
    Vietnam, China, India
    Description

    Forecasting Results of the population structures for China, India, and Vietnam (Unit: %).

  5. Indian Cities by Population šŸ‘„

    • kaggle.com
    zip
    Updated Sep 6, 2023
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    meer atif magsi (2023). Indian Cities by Population šŸ‘„ [Dataset]. https://www.kaggle.com/datasets/meeratif/list-of-cities-in-china-by-population
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    zip(6556 bytes)Available download formats
    Dataset updated
    Sep 6, 2023
    Authors
    meer atif magsi
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    India
    Description

    Title: Population Data of Indian Cities (2011 and 2001)

    Description: This dataset contains population information for various cities in India, categorized by rank, city name, and population figures for the years 2011 and 2001. Additionally, it includes the corresponding state or union territory to which each city belongs. The dataset provides insights into population changes over a decade in different cities across India.

    Columns:

    Rank: This column represents the rank of each city based on its population in the year 2011. Cities are typically ranked in descending order of population, with the most populous city having the rank 1.

    City: This column contains the names of the cities for which population data is recorded.

    Population (2011): This column displays the population count of each city as of the year 2011. The population figures are likely to be recorded in thousands or millions

    Population (2001): This column provides the population count of each city as of the year 2001. Comparing this data with the 2011 population figures allows for an analysis of population growth or decline over the decade.

    State or Union Territory: This column indicates the administrative division to which each city belongs. In India, cities are typically grouped into states or union territories, and this column helps identify the geographical context of each city.

  6. d

    Data from: Country-Level Population and Downscaled Projections Based on the...

    • catalog.data.gov
    • dataverse.harvard.edu
    • +4more
    Updated Sep 19, 2025
    + more versions
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    SEDAC (2025). Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, 1990-2100 [Dataset]. https://catalog.data.gov/dataset/country-level-population-and-downscaled-projections-based-on-the-sres-b2-scenario-1990-210
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    Dataset updated
    Sep 19, 2025
    Dataset provided by
    SEDAC
    Description

    The Country-Level Population and Downscaled Projections Based on Special Report on Emissions Scenarios (SRES) B2 Scenario, 1990-2100, were based on the UN 1998 Medium Long Range Projection for the years 1995 to 2100. The official version projects population for 8 regions of the world including Africa, Asia (minus India and China), India, China, Europe, Latin America, Northern America, and Oceania. This data set is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).

  7. World data population

    • kaggle.com
    zip
    Updated Jan 12, 2024
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    Tanishq dublish (2024). World data population [Dataset]. https://www.kaggle.com/datasets/tanishqdublish/world-data-population
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    zip(14672 bytes)Available download formats
    Dataset updated
    Jan 12, 2024
    Authors
    Tanishq dublish
    License

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

    Area covered
    World
    Description

    Context The world's population has undergone remarkable growth, exceeding 7.5 billion by mid-2019 and continuing to surge beyond previous estimates. Notably, China and India stand as the two most populous countries, with China's population potentially facing a decline while India's trajectory hints at surpassing it by 2030. This significant demographic shift is just one facet of a global landscape where countries like the United States, Indonesia, Brazil, Nigeria, and others, each with populations surpassing 100 million, play pivotal roles.

    The steady decrease in growth rates, though, is reshaping projections. While the world's population is expected to exceed 8 billion by 2030, growth will notably decelerate compared to previous decades. Specific countries like India, Nigeria, and several African nations will notably contribute to this growth, potentially doubling their populations before rates plateau.

    Content This dataset provides comprehensive historical population data for countries and territories globally, offering insights into various parameters such as area size, continent, population growth rates, rankings, and world population percentages. Spanning from 1970 to 2023, it includes population figures for different years, enabling a detailed examination of demographic trends and changes over time.

    Dataset Structured with meticulous detail, this dataset offers a wide array of information in a format conducive to analysis and exploration. Featuring parameters like population by year, country rankings, geographical details, and growth rates, it serves as a valuable resource for researchers, policymakers, and analysts. Additionally, the inclusion of growth rates and world population percentages provides a nuanced understanding of how countries contribute to global demographic shifts.

    This dataset is invaluable for those interested in understanding historical population trends, predicting future demographic patterns, and conducting in-depth analyses to inform policies across various sectors such as economics, urban planning, public health, and more.

  8. d

    Year and State wise Density of Population

    • dataful.in
    Updated Nov 20, 2025
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    Dataful (Factly) (2025). Year and State wise Density of Population [Dataset]. https://dataful.in/datasets/21433
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    csv, xlsx, application/x-parquetAvailable download formats
    Dataset updated
    Nov 20, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    States of India
    Variables measured
    Population Density
    Description

    The dataset contains Year and State wise Density of Population

    Note: 1. The 1981 Census could not be held in Assam. Total Population for 1981 has been worked out by Interpolation. 2. Includes estimated population of Paomata, Mao Maram and Purul sub-divisions of Senapati District of Manipur for 2001. 3. For working out the density of India and Jammu & Kashmir for 1991,2001, the entire area and population of those portions of Jammu & Kashmir which are under illegal occupation of Pakistan and China have not been taken into account.

  9. Country-Level Population and Downscaled Projections Based on the SRES B2...

    • data.nasa.gov
    Updated Apr 23, 2025
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    nasa.gov (2025). Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, 1990-2100 - Dataset - NASA Open Data Portal [Dataset]. https://data.nasa.gov/dataset/country-level-population-and-downscaled-projections-based-on-the-sres-b2-scenario-1990-210
    Explore at:
    Dataset updated
    Apr 23, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The Country-Level Population and Downscaled Projections Based on Special Report on Emissions Scenarios (SRES) B2 Scenario, 1990-2100, were based on the UN 1998 Medium Long Range Projection for the years 1995 to 2100. The official version projects population for 8 regions of the world including Africa, Asia (minus India and China), India, China, Europe, Latin America, Northern America, and Oceania. This data set is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).

  10. k

    Health Nutrition and Population Statistics

    • datasource.kapsarc.org
    Updated Nov 28, 2025
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    (2025). Health Nutrition and Population Statistics [Dataset]. https://datasource.kapsarc.org/explore/dataset/worldbank-health-nutrition-and-population-statistics/
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    Dataset updated
    Nov 28, 2025
    Description

    Explore World Bank Health, Nutrition and Population Statistics dataset featuring a wide range of indicators such as School enrollment, UHC service coverage index, Fertility rate, and more from countries like Bahrain, China, India, Kuwait, Oman, Qatar, and Saudi Arabia.

    School enrollment, tertiary, UHC service coverage index, Wanted fertility rate, People with basic handwashing facilities, urban population, Rural population, AIDS estimated deaths, Domestic private health expenditure, Fertility rate, Domestic general government health expenditure, Age dependency ratio, Postnatal care coverage, People using safely managed drinking water services, Unemployment, Lifetime risk of maternal death, External health expenditure, Population growth, Completeness of birth registration, Urban poverty headcount ratio, Prevalence of undernourishment, People using at least basic sanitation services, Prevalence of current tobacco use, Urban poverty headcount ratio, Tuberculosis treatment success rate, Low-birthweight babies, Female headed households, Completeness of birth registration, Urban population growth, Antiretroviral therapy coverage, Labor force, and more.

    Bahrain, China, India, Kuwait, Oman, Qatar, Saudi Arabia

    Follow data.kapsarc.org for timely data to advance energy economics research.

  11. World Population 2023 [Countrywise]

    • kaggle.com
    zip
    Updated Oct 27, 2023
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    Sujay Kapadnis (2023). World Population 2023 [Countrywise] [Dataset]. https://www.kaggle.com/datasets/sujaykapadnis/world-population-2023-countrywise
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    zip(2880 bytes)Available download formats
    Dataset updated
    Oct 27, 2023
    Authors
    Sujay Kapadnis
    Area covered
    World
    Description

    The latest United Nations mid-year predictions for Population by Country (data) show India overtaking China as most populous nation in the world.

    Credits: Design: David McCandless Research: Nell Simon-Batsford Code: Tom Evans, Paul Barton

  12. Population development of China 0-2100

    • statista.com
    Updated Jul 11, 2022
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    Statista (2022). Population development of China 0-2100 [Dataset]. https://www.statista.com/statistics/1304081/china-population-development-historical/
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    Dataset updated
    Jul 11, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    The region of present-day China has historically been the most populous region in the world; however, its population development has fluctuated throughout history. In 2022, China was overtaken as the most populous country in the world, and current projections suggest its population is heading for a rapid decline in the coming decades. Transitions of power lead to mortality The source suggests that conflict, and the diseases brought with it, were the major obstacles to population growth throughout most of the Common Era, particularly during transitions of power between various dynasties and rulers. It estimates that the total population fell by approximately 30 million people during the 14th century due to the impact of Mongol invasions, which inflicted heavy losses on the northern population through conflict, enslavement, food instability, and the introduction of bubonic plague. Between 1850 and 1870, the total population fell once more, by more than 50 million people, through further conflict, famine and disease; the most notable of these was the Taiping Rebellion, although the Miao an Panthay Rebellions, and the Dungan Revolt, also had large death tolls. The third plague pandemic also originated in Yunnan in 1855, which killed approximately two million people in China. 20th and 21st centuries There were additional conflicts at the turn of the 20th century, which had significant geopolitical consequences for China, but did not result in the same high levels of mortality seen previously. It was not until the overlapping Chinese Civil War (1927-1949) and Second World War (1937-1945) where the death tolls reached approximately 10 and 20 million respectively. Additionally, as China attempted to industrialize during the Great Leap Forward (1958-1962), economic and agricultural mismanagement resulted in the deaths of tens of millions (possibly as many as 55 million) in less than four years, during the Great Chinese Famine. This mortality is not observable on the given dataset, due to the rapidity of China's demographic transition over the entire period; this saw improvements in healthcare, sanitation, and infrastructure result in sweeping changes across the population. The early 2020s marked some significant milestones in China's demographics, where it was overtaken by India as the world's most populous country, and its population also went into decline. Current projections suggest that China is heading for a "demographic disaster", as its rapidly aging population is placing significant burdens on China's economy, government, and society. In stark contrast to the restrictive "one-child policy" of the past, the government has introduced a series of pro-fertility incentives for couples to have larger families, although the impact of these policies are yet to materialize. If these current projections come true, then China's population may be around half its current size by the end of the century.

  13. d

    Decade and State wise Urban, Rural, Total Population and Decadal Growth Rate...

    • dataful.in
    Updated Nov 20, 2025
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    Dataful (Factly) (2025). Decade and State wise Urban, Rural, Total Population and Decadal Growth Rate [Dataset]. https://dataful.in/datasets/21431
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    application/x-parquet, xlsx, csvAvailable download formats
    Dataset updated
    Nov 20, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    Population
    Description

    The dataset contains Decade and State wise Urban, Rural, Total Population and Decadal Growth Rate

    Note: 1. The Population figures exclude population of areas under unlawful occupation of Pakistan and China, where Census could not be taken. 2. In Arunachal Pradesh, the census was conducted for the first time in 1961. 3. Population data of Assam include Union Territory of Mizoram, which was carved out of Assam after the 1971. 4. The 1981 Census could not be held in Assam. Total Population for 1981 has been worked out by Interpolation. 5. The 1991 Census could not be held in Jammu & Kashmir. Total Population for 1991 has been worked out by Interpolation. 6. India and Manipur figures include estimated Population for those of the three sub-divisions viz., Mao Maram,Paomata and Purul of Senapati district of Manipur as census result of 2001 in these three sub-divisions were cancelled due to technical and administrative reasons

  14. World Population Live Dataset 2022

    • kaggle.com
    zip
    Updated Sep 10, 2022
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    Aman Chauhan (2022). World Population Live Dataset 2022 [Dataset]. https://www.kaggle.com/datasets/whenamancodes/world-population-live-dataset/code
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    zip(10169 bytes)Available download formats
    Dataset updated
    Sep 10, 2022
    Authors
    Aman Chauhan
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    World
    Description

    The current US Census Bureau world population estimate in June 2019 shows that the current global population is 7,577,130,400 people on earth, which far exceeds the world population of 7.2 billion from 2015. Our own estimate based on UN data shows the world's population surpassing 7.7 billion.

    China is the most populous country in the world with a population exceeding 1.4 billion. It is one of just two countries with a population of more than 1 billion, with India being the second. As of 2018, India has a population of over 1.355 billion people, and its population growth is expected to continue through at least 2050. By the year 2030, the country of India is expected to become the most populous country in the world. This is because India’s population will grow, while China is projected to see a loss in population.

    The next 11 countries that are the most populous in the world each have populations exceeding 100 million. These include the United States, Indonesia, Brazil, Pakistan, Nigeria, Bangladesh, Russia, Mexico, Japan, Ethiopia, and the Philippines. Of these nations, all are expected to continue to grow except Russia and Japan, which will see their populations drop by 2030 before falling again significantly by 2050.

    Many other nations have populations of at least one million, while there are also countries that have just thousands. The smallest population in the world can be found in Vatican City, where only 801 people reside.

    In 2018, the world’s population growth rate was 1.12%. Every five years since the 1970s, the population growth rate has continued to fall. The world’s population is expected to continue to grow larger but at a much slower pace. By 2030, the population will exceed 8 billion. In 2040, this number will grow to more than 9 billion. In 2055, the number will rise to over 10 billion, and another billion people won’t be added until near the end of the century. The current annual population growth estimates from the United Nations are in the millions - estimating that over 80 million new lives are added each year.

    This population growth will be significantly impacted by nine specific countries which are situated to contribute to the population growth more quickly than other nations. These nations include the Democratic Republic of the Congo, Ethiopia, India, Indonesia, Nigeria, Pakistan, Uganda, the United Republic of Tanzania, and the United States of America. Particularly of interest, India is on track to overtake China's position as the most populous country by the year 2030. Additionally, multiple nations within Africa are expected to double their populations before fertility rates begin to slow entirely.

    Global life expectancy has also improved in recent years, increasing the overall population life expectancy at birth to just over 70 years of age. The projected global life expectancy is only expected to continue to improve - reaching nearly 77 years of age by the year 2050. Significant factors impacting the data on life expectancy include the projections of the ability to reduce AIDS/HIV impact, as well as reducing the rates of infectious and non-communicable diseases.

    Population aging has a massive impact on the ability of the population to maintain what is called a support ratio. One key finding from 2017 is that the majority of the world is going to face considerable growth in the 60 plus age bracket. This will put enormous strain on the younger age groups as the elderly population is becoming so vast without the number of births to maintain a healthy support ratio.

    Although the number given above seems very precise, it is important to remember that it is just an estimate. It simply isn't possible to be sure exactly how many people there are on the earth at any one time, and there are conflicting estimates of the global population in 2016.

    Some, including the UN, believe that a population of 7 billion was reached in October 2011. Others, including the US Census Bureau and World Bank, believe that the total population of the world reached 7 billion in 2012, around March or April.

    ColumnsDescription
    CCA33 Digit Country/Territories Code
    NameName of the Country/Territories
    2022Population of the Country/Territories in the year 2022.
    2020Population of the Country/Territories in the year 2020.
    2015Population of the Country/Territories in the year 2015.
    2010Population of the Country/Territories in the year 2010.
    2000Population of the Country/Territories in the year 2000.
    1990Population of the Country/Territories in the year 1990.
    1980Population of the Country/Territories in the year 1980.
    1970Population of the Country/Territories in the year 1970.
    Area (km²)Area size of the Country/Territories in square kilometer.
    Density (per km²)Population Density per square kilometer.
    Grow...
  15. Rule of Thumb for correlation coefficients.

    • plos.figshare.com
    xls
    Updated May 21, 2025
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    Xiuling Guo; Muhammad Islam (2025). Rule of Thumb for correlation coefficients. [Dataset]. http://doi.org/10.1371/journal.pone.0324231.t004
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    xlsAvailable download formats
    Dataset updated
    May 21, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Xiuling Guo; Muhammad Islam
    License

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

    Description

    Rising global food insecurity driven by population growth needs urgent measure for universal access to food. This research employs Comparative Performance Analysis (CPA) to evaluate the Global Food Security Index (GFSI), its components [Affordability (AF), Availability (AV), Quality & Safety (Q&S) and Sustainability & Adaptation (S&A)] in tandem with Annual Population Change (APC) for world’s five most populous countries (India, China, USA, Indonesia and Pakistan) using dataset spanning from 2012 to 2022. CPA is applied using descriptive analysis, correlation analysis, Rule of Thumb (RoT) and testing of hypothesis etc. RoT is used with a new analytical approach by applying the significance measures for correlation coefficients. The study suggests that India should enhance its GFSI rank by addressing AF and mitigating the adverse effects of APC on GFSI with a particular focus on Q&S and S&A. China needs to reduce the impact of APC on GFSI by prioritizing AV and S&A. The USA is managing its GFSI well, but focused efforts are still required to reduce APC’s impact on Q&S and S&A. Indonesia should improve across all sectors with a particular focus on APC reduction and mitigating its adverse effects on AF, AV, and S&A. Pakistan should intensify efforts to boost its rank and enhance all sectors with reducing APC. There is statistically significant and negative relation between GFSI and APC for China, Indonesia and found insignificant for others countries. This study holds promise for providing crucial policy recommendations to enhance food security by tackling its underlying factors.

  16. k

    International Macroeconomic Dataset (2015 Base)

    • datasource.kapsarc.org
    Updated Oct 26, 2025
    + more versions
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    (2025). International Macroeconomic Dataset (2015 Base) [Dataset]. https://datasource.kapsarc.org/explore/dataset/international-macroeconomic-data-set-2015/
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    Dataset updated
    Oct 26, 2025
    Description

    TThe ERS International Macroeconomic Data Set provides historical and projected data for 181 countries that account for more than 99 percent of the world economy. These data and projections are assembled explicitly to serve as underlying assumptions for the annual USDA agricultural supply and demand projections, which provide a 10-year outlook on U.S. and global agriculture. The macroeconomic projections describe the long-term, 10-year scenario that is used as a benchmark for analyzing the impacts of alternative scenarios and macroeconomic shocks.

    Explore the International Macroeconomic Data Set 2015 for annual growth rates, consumer price indices, real GDP per capita, exchange rates, and more. Get detailed projections and forecasts for countries worldwide.

    Annual growth rates, Consumer price indices (CPI), Real GDP per capita, Real exchange rates, Population, GDP deflator, Real gross domestic product (GDP), Real GDP shares, GDP, projections, Forecast, Real Estate, Per capita, Deflator, share, Exchange Rates, CPI

    Afghanistan, Albania, Algeria, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burundi, CĆƒĘ’Ć‚Ę’Ā“te d'Ivoire, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Congo, Costa Rica, Croatia, Cuba, Cyprus, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Mauritania, Mauritius, Mexico, Moldova, Mongolia, Morocco, Mozambique, Myanmar, Namibia, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Norway, Oman, Pakistan, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Samoa, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, South Africa, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Tajikistan, Tanzania, Thailand, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, Yemen, Zambia, Zimbabwe, WORLD Follow data.kapsarc.org for timely data to advance energy economics research. Notes:

    Developed countries/1 Australia, New Zealand, Japan, Other Western Europe, European Union 27, North America

    Developed countries less USA/2 Australia, New Zealand, Japan, Other Western Europe, European Union 27, Canada

    Developing countries/3 Africa, Middle East, Other Oceania, Asia less Japan, Latin America;

    Low-income developing countries/4 Haiti, Afghanistan, Nepal, Benin, Burkina Faso, Burundi, Central African Republic, Chad, Democratic Republic of Congo, Eritrea, Ethiopia, Gambia, Guinea, Guinea-Bissau, Liberia, Madagascar, Malawi, Mali, Mozambique, Niger, Rwanda, Senegal, Sierra Leone, Somalia, Tanzania, Togo, Uganda, Zimbabwe;

    Emerging markets/5 Mexico, Brazil, Chile, Czech Republic, Hungary, Poland, Slovakia, Russia, China, India, Korea, Taiwan, Indonesia, Malaysia, Philippines, Thailand, Vietnam, Singapore

    BRIICs/5 Brazil, Russia, India, Indonesia, China; Former Centrally Planned Economies

    Former centrally planned economies/7 Cyprus, Malta, Recently acceded countries, Other Central Europe, Former Soviet Union

    USMCA/8 Canada, Mexico, United States

    Europe and Central Asia/9 Europe, Former Soviet Union

    Middle East and North Africa/10 Middle East and North Africa

    Other Southeast Asia outlook/11 Malaysia, Philippines, Thailand, Vietnam

    Other South America outlook/12 Chile, Colombia, Peru, Bolivia, Paraguay, Uruguay

    Indicator Source

    Real gross domestic product (GDP) World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service all converted to a 2015 base year.

    Real GDP per capita U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table and Population table.

    GDP deflator World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

    Real GDP shares U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table.

    Real exchange rates U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, CPI table, and Nominal XR and Trade Weights tables developed by the Economic Research Service.

    Consumer price indices (CPI) International Financial Statistics International Monetary Fund, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

    Population Department of Commerce, Bureau of the Census, U.S. Department of Agriculture, Economic Research Service, International Data Base.

  17. White noise tests for error series of three age periods for China, India and...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated May 30, 2023
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    Yigang Wei; Zhichao Wang; Huiwen Wang; Yan Li; Zhenyu Jiang (2023). White noise tests for error series of three age periods for China, India and Vietnam. [Dataset]. http://doi.org/10.1371/journal.pone.0212772.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Yigang Wei; Zhichao Wang; Huiwen Wang; Yan Li; Zhenyu Jiang
    License

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

    Area covered
    Vietnam, China, India
    Description

    White noise tests for error series of three age periods for China, India and Vietnam.

  18. d

    Loudoun County 2020 Census Population Patterns by Race and Hispanic or...

    • catalog.data.gov
    • data.virginia.gov
    • +2more
    Updated Nov 15, 2025
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    Loudoun County GIS (2025). Loudoun County 2020 Census Population Patterns by Race and Hispanic or Latino Ethnicity [Dataset]. https://catalog.data.gov/dataset/loudoun-county-2020-census-population-patterns-by-race-and-hispanic-or-latino-ethnicity
    Explore at:
    Dataset updated
    Nov 15, 2025
    Dataset provided by
    Loudoun County GIS
    Area covered
    Loudoun County
    Description

    Use this application to view the pattern of concentrations of people by race and Hispanic or Latino ethnicity. Data are provided at the U.S. Census block group level, one of the smallest Census geographies, to provide a detailed picture of these patterns. The data is sourced from the U.S Census Bureau, 2020 Census Redistricting Data (Public Law 94-171) Summary File. Definitions: Definitions of the Census Bureau’s categories are provided below. This interactive map shows patterns for all categories except American Indian or Alaska Native and Native Hawaiian or Other Pacific Islander. The total population countywide for these two categories is small (1,582 and 263 respectively). The Census Bureau uses the following race categories:Population by RaceWhite – A person having origins in any of the original peoples of Europe, the Middle East, or North Africa.Black or African American – A person having origins in any of the Black racial groups of Africa.American Indian or Alaska Native – A person having origins in any of the original peoples of North and South America (including Central America) and who maintains tribal affiliation or community attachment.Asian – A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam.Native Hawaiian or Other Pacific Islander – A person having origins in any of the original peoples of Hawaii, Guam, Samoa, or other Pacific Islands.Some Other Race - this category is chosen by people who do not identify with any of the categories listed above. People can identify with more than one race. These people are included in the Two or More Races Hispanic or Latino PopulationThe Hispanic/Latino population is an ethnic group. Hispanic/Latino people may be of any race.Other layers provided in this tool included the Loudoun County Census block groups, towns and Dulles airport, and the Loudoun County 2021 aerial imagery.

  19. Population Based Global Carbon Emissions Dataset in 0.1°Resolution (2014)

    • datacore-gn.unepgrid.ch
    Updated Sep 23, 2017
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    Ministry of Science and Technology of P. R. China (2016YFA0602704) (2017). Population Based Global Carbon Emissions Dataset in 0.1°Resolution (2014) [Dataset]. https://datacore-gn.unepgrid.ch/geonetwork/srv/api/records/9de4e1dd-9186-4901-9631-fcb5bdbbd4a5
    Explore at:
    www:link-1.0-http--link, ogc:wms-1.3.0-http-get-mapAvailable download formats
    Dataset updated
    Sep 23, 2017
    Dataset provided by
    United Nations Environment Programmehttp://www.unep.org/
    Ministry of Science and Technology of P. R. China (2016YFA0602704)
    Area covered
    Description

    Since mid of 20th century, anthropogenic greenhouse gas emissions have increased, it is very possible of being driven largely by economic and population growth, and causing the global warming. Based on the global carbon emissions data of 2014 in each country from CDIAC (Carbon Dioxide Information Analysis Center) and population density data in 2015 from SEDAC (Socioeconomic Data and Applications Center), the population based global carbon emissions dataset in 0.1° resolution (2014) was developed by the model of integrating population density as an economic-population composite indicator to weighted carbon emissions. The result shows the main carbon emission areas are located in the eastern United States, eastern China, Japan, Korea, India, Southeast Asia and Europe, and there are spatial differences in each region. The result can reflect spatial distribution of the current global carbon emissions and provide basic data for global change research. The dataset was archived in .tif data format with the data size of 22.7 MB (3.92MB in compressed file).

    Foundation Item: Ministry of Science and Technology of P. R. China (2016YFA0602704) Data Citation: "FAN Zhixin,SU Yun*,FANG Xiuqi.2017.Population Based Global Carbon Emissions Dataset in 0.1°Resolution (2014) ( GlobalPopCarbonEmis2014 ) ,Global Change Research Data Publishing & Repository,DOI:10.3974/geodb.2017.03.12.V1"

  20. šŸ’° Global GDP Dataset (Latest)

    • kaggle.com
    zip
    Updated Oct 17, 2025
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    Asadullah Shehbaz (2025). šŸ’° Global GDP Dataset (Latest) [Dataset]. https://www.kaggle.com/datasets/asadullahcreative/global-gdp-explorer-2024-world-bank-un-data
    Explore at:
    zip(6672 bytes)Available download formats
    Dataset updated
    Oct 17, 2025
    Authors
    Asadullah Shehbaz
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    🧾 About Dataset

    šŸŒ Global GDP by Country — 2024 Edition

    šŸ“– Overview

    The Global GDP by Country (2024) dataset provides an up-to-date snapshot of worldwide economic performance, summarizing each country’s nominal GDP, growth rate, population, and global economic contribution.

    This dataset is ideal for economic analysis, data visualization, policy modeling, and machine learning applications related to global development and financial forecasting.

    šŸ“Š Dataset Information

    • Total Records: 181 countries
    • Time Period: 2024 (latest available global data)
    • Geographic Coverage: Worldwide
    • File Format: CSV
    • File Size: ~10 KB
    • Missing Values: None (100% complete dataset)

    šŸŽÆ Target Use-Cases:
    - Economic growth trend analysis
    - GDP-based country clustering
    - Per capita wealth comparison
    - Share of world economy visualization

    🧩 Key Features

    Feature NameDescription
    CountryOfficial country name
    GDP (nominal, 2023)Total nominal GDP in USD
    GDP (abbrev.)Simplified GDP format (e.g., ā€œ$25.46 Trillionā€)
    GDP GrowthAnnual GDP growth rate (%)
    Population 2023Estimated population for 2023
    GDP per capitaAverage income per person (USD)
    Share of World GDPPercentage contribution to global GDP

    šŸ“ˆ Statistical Summary

    Population Overview

    • Mean Population: 43.6 million
    • Standard Deviation: 155.5 million
    • Minimum Population: 9,816 (small island nations)
    • Median Population: 9.1 million
    • Maximum Population: 1.43 billion (China)

    🌟 Highlights

    šŸ’° Top Economies (Nominal GDP):
    United States, China, Japan, Germany, India

    šŸ“ˆ Fastest Growing Economies:
    India, Bangladesh, Vietnam, and Rwanda

    🌐 Global Insights:
    - The dataset covers 181 countries representing 100% of global GDP.
    - Suitable for data visualization dashboards, AI-driven economic forecasting, and educational research.

    šŸ’” Example Use-Cases

    • Build a choropleth map showing GDP distribution across continents.
    • Train a regression model to predict GDP per capita based on population and growth.
    • Compare economic inequality using population vs GDP share.

    šŸ“š Dataset Citation

    Source: Worldometers — GDP by Country (2024)
    Dataset compiled and cleaned by: Asadullah Shehbaz
    For open research and data analysis.

Share
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Samith Chimminiyan (2025). World Population by Countries (2025) [Dataset]. https://www.kaggle.com/datasets/samithsachidanandan/world-population-by-countries-2025
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World Population by Countries (2025)

Countries List Based on the Population

Explore at:
zip(9000 bytes)Available download formats
Dataset updated
Jan 23, 2025
Authors
Samith Chimminiyan
License

http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

Area covered
World
Description

Description

This Dataset contains details of World Population by country. According to the worldometer, the current population of the world is 8.2 billion people. Highest populated country is India followed by China and USA.

Attribute Information

  • Rank : Country Rank by Population.
  • Country : Name of the Country.
  • Population(2024) : Current Population of each Country.
  • Yearly Change : Percentage Yearly Change in Population.
  • Net Change : Net change in the Population.
  • Density (P/Km²) : Population density (population per square km)
  • Land Area(Km²) : Total land area of the Country.
  • Migrants (net) : Total number of migrants.
  • Fertility Rate : Fertility rate
  • Median Age : Median age of the population
  • Urban Pop % : Percentage of urban population
  • World Share : Share to the word with population.

Acknowledgements

https://www.worldometers.info/world-population/population-by-country/

Image by Gerd Altmann from Pixabay

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