15 datasets found
  1. 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.

  2. 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.

  3. d

    Data from: Anthropogenic Biomes of the World, Version 2: 1700.

    • datadiscoverystudio.org
    Updated Jun 12, 2018
    + more versions
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    (2018). Anthropogenic Biomes of the World, Version 2: 1700. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/6e5023c82d06448f8630ddd5f6e9e86e/html
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    Dataset updated
    Jun 12, 2018
    Area covered
    Earth
    Description

    description: The Anthropogenic Biomes of the World, Version 2: 1700 data set describes anthropogenic transformations within the terrestrial biosphere caused by sustained direct human interaction with ecosystems, including agriculture and urbanization c. 1700. Potential natural vegetation, biomes, such as tropical rainforests or grasslands, are based on global vegetation patterns related to climate and geology. Anthropogenic transformation within each biome is approximated using population density, agricultural intensity (cropland and pasture) and urbanization. This data set is part of a time series for the years 1700, 1800, 1900, and 2000 that provides global patterns of historical transformation of the terrestrial biosphere during the Industrial Revolution.; abstract: The Anthropogenic Biomes of the World, Version 2: 1700 data set describes anthropogenic transformations within the terrestrial biosphere caused by sustained direct human interaction with ecosystems, including agriculture and urbanization c. 1700. Potential natural vegetation, biomes, such as tropical rainforests or grasslands, are based on global vegetation patterns related to climate and geology. Anthropogenic transformation within each biome is approximated using population density, agricultural intensity (cropland and pasture) and urbanization. This data set is part of a time series for the years 1700, 1800, 1900, and 2000 that provides global patterns of historical transformation of the terrestrial biosphere during the Industrial Revolution.

  4. d

    Venice 1500,1650,1800 [Global Collaboratory on the History of Labour...

    • druid.datalegend.net
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    (2020). Venice 1500,1650,1800 [Global Collaboratory on the History of Labour Relations 1500-2000 Dataset] [Dataset]. https://druid.datalegend.net/IISG/iisg-kg/browser?resource=https%3A%2F%2Fiisg.amsterdam%2Fid%2Fdataset%2F1242
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    Description

    Labour Relations in Venice: 1500, 1650, 1800

    An abridged data format, created by Daan Jansen (IISH) and continuing on earlier work by Joris Kok (IISH), is being offered as an alternative in October 2020. This new version of the dataset includes only records that contain labour relations, leaving out all population data. This update also involved (depending on the dataset in question, substantial) data cleaning, separating male and female individuals, and removing any duplicate records. Hence, the aggregated number of people mentioned in these updated datasets should equal the total population.

  5. d

    Brazil 1650,1800 [Global Collaboratory on the History of Labour Relations...

    • druid.datalegend.net
    Updated Nov 9, 2020
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    (2020). Brazil 1650,1800 [Global Collaboratory on the History of Labour Relations 1500-2000 Dataset] [Dataset]. https://druid.datalegend.net/IISG/iisg-kg/browser?resource=https%3A%2F%2Fiisg.amsterdam%2Fid%2Fdataset%2F1225
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    Dataset updated
    Nov 9, 2020
    Description

    Labour Relations in Brazil: 1650, 1800

    An abridged data format, created by Daan Jansen (IISH) and continuing on earlier work by Joris Kok (IISH), is being offered as an alternative in October 2020. This new version of the dataset includes only records that contain labour relations, leaving out all population data. This update also involved (depending on the dataset in question, substantial) data cleaning, separating male and female individuals, and removing any duplicate records. Hence, the aggregated number of people mentioned in these updated datasets should equal the total population.

  6. I

    United States 1800 [Global Collaboratory on the History of Labour Relations...

    • datasets.iisg.amsterdam
    • druid.datalegend.net
    docx, pdf, tsv, xlsx
    Updated Dec 3, 2020
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    IISH Data Collection (2020). United States 1800 [Global Collaboratory on the History of Labour Relations 1500-2000 Dataset] [Dataset]. https://datasets.iisg.amsterdam/dataset.xhtml;jsessionid=a8bd45f73907f38e34647e22eeb8?persistentId=hdl%3A10622%2FTON9WU&version=&q=&fileTypeGroupFacet=%22Document%22&fileAccess=&fileSortField=date
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    xlsx(805249), pdf(608973), tsv(9046578), docx(17534)Available download formats
    Dataset updated
    Dec 3, 2020
    Dataset provided by
    IISH Data Collection
    License

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

    Time period covered
    Jan 1, 1800 - Dec 31, 1800
    Area covered
    United States
    Description

    Labour Relations in the United States: 1800An abridged data format, created by Daan Jansen (IISH) and continuing on earlier work by Joris Kok (IISH), is being offered as an alternative in October 2020. This new version of the dataset includes only records that contain labour relations, leaving out all population data. This update also involved (depending on the dataset in question, substantial) data cleaning, separating male and female individuals, and removing any duplicate records. Hence, the aggregated number of people mentioned in these updated datasets should equal the total population.

  7. t

    Religious Characteristics of States Dataset Project - Demographics v. 2.0...

    • thearda.com
    + more versions
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    The Association of Religion Data Archives, Religious Characteristics of States Dataset Project - Demographics v. 2.0 (RCS-Dem 2.0), COUNTRIES ONLY [Dataset]. http://doi.org/10.17605/OSF.IO/7SR4M
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    Dataset provided by
    The Association of Religion Data Archives
    Dataset funded by
    The Association of Religion Data Archives (www.theARDA.com)
    Description

    The RCS-Dem dataset reports estimates of religious demographics, both country by country and region by region. RCS was created to fulfill the unmet need for a dataset on the religious dimensions of countries of the world, with the state-year as the unit of observation. It covers 220 independent states, 26 selected substate entities, and 41 geographically separated dependencies, for every year from 2015 back to 1900 and often 1800 (more than 42,000 state-years). It estimates populations and percentages of adherents of 100 religious denominations including second level subdivisions within Christianity and Islam, along with several complex categories such as "Western Christianity." RCS is designed for easy merger with datasets of the Correlates of War and Polity projects, datasets by the United Nations, the Religion And State datasets by Jonathan Fox, and the ARDA national profiles.

  8. d

    Taiwan 1500,1650,1800 [Global Collaboratory on the History of Labour...

    • druid.datalegend.net
    Updated Nov 9, 2020
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    (2020). Taiwan 1500,1650,1800 [Global Collaboratory on the History of Labour Relations 1500-2000 Dataset] [Dataset]. https://druid.datalegend.net/IISG/iisg-kg/browser?resource=https%3A%2F%2Fiisg.amsterdam%2Fid%2Fdataset%2F1255
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    Dataset updated
    Nov 9, 2020
    Area covered
    Taiwan
    Description

    Labour Relations in Taiwan: 1500, 1650, 1800

    An abridged data format, created by Daan Jansen (IISH) and continuing on earlier work by Joris Kok (IISH), is being offered as an alternative in October 2020. This new version of the dataset includes only records that contain labour relations, leaving out all population data. This update also involved (depending on the dataset in question, substantial) data cleaning, separating male and female individuals, and removing any duplicate records. Hence, the aggregated number of people mentioned in these updated datasets should equal the total population.

  9. d

    Russia 1500,1650,1800,1900,2000 [Global Collaboratory on the History of...

    • druid.datalegend.net
    Updated Nov 9, 2020
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    (2020). Russia 1500,1650,1800,1900,2000 [Global Collaboratory on the History of Labour Relations 1500-2000 Dataset] [Dataset]. https://druid.datalegend.net/IISG/iisg-kg/browser?resource=https%3A%2F%2Fiisg.amsterdam%2Fid%2Fdataset%2F1270
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    Dataset updated
    Nov 9, 2020
    Area covered
    Russia
    Description

    Labour Relations in Russia: 1500, 1650, 1800, 1900, 2000

    An abridged data format, created by Daan Jansen (IISH) and continuing on earlier work by Joris Kok (IISH), is being offered as an alternative in October 2020. This new version of the dataset includes only records that contain labour relations, leaving out all population data. This update also involved (depending on the dataset in question, substantial) data cleaning, separating male and female individuals, and removing any duplicate records. Hence, the aggregated number of people mentioned in these updated datasets should equal the total population.

  10. Population development of China 0-2100

    • statista.com
    Updated Aug 7, 2024
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    Statista (2024). Population development of China 0-2100 [Dataset]. https://www.statista.com/statistics/1304081/china-population-development-historical/
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    Dataset updated
    Aug 7, 2024
    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.

  11. d

    China 1500,1800 [Global Collaboratory on the History of Labour Relations...

    • druid.datalegend.net
    Updated Nov 4, 2020
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    (2020). China 1500,1800 [Global Collaboratory on the History of Labour Relations 1500-2000 Dataset] [Dataset]. https://druid.datalegend.net/IISG/iisg-kg/browser?resource=https%3A%2F%2Fiisg.amsterdam%2Fid%2Fdataset%2F1233
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    Dataset updated
    Nov 4, 2020
    Description

    Labour Relations in China: 1500, 1800

    An abridged data format, created by Daan Jansen (IISH) and continuing on earlier work by Joris Kok (IISH), is being offered as an alternative in October 2020. This new version of the dataset includes only records that contain labour relations, leaving out all population data. This update also involved (depending on the dataset in question, substantial) data cleaning, separating male and female individuals, and removing any duplicate records. Hence, the aggregated number of people mentioned in these updated datasets should equal the total population.

  12. d

    Japan 1800,2000 [Global Collaboratory on the History of Labour Relations...

    • druid.datalegend.net
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    (2020). Japan 1800,2000 [Global Collaboratory on the History of Labour Relations 1500-2000 Dataset] [Dataset]. https://druid.datalegend.net/IISG/iisg-kg/browser?resource=https%3A%2F%2Fiisg.amsterdam%2Fid%2Fdataset%2F1250
    Explore at:
    Description

    Labour Relations in Japan: 1800, 2000

    An abridged data format, created by Daan Jansen (IISH) and continuing on earlier work by Joris Kok (IISH), is being offered as an alternative in October 2020. This new version of the dataset includes only records that contain labour relations, leaving out all population data. This update also involved (depending on the dataset in question, substantial) data cleaning, separating male and female individuals, and removing any duplicate records. Hence, the aggregated number of people mentioned in these updated datasets should equal the total population.

  13. d

    Java 1650,1800,1900 [Global Collaboratory on the History of Labour Relations...

    • druid.datalegend.net
    Updated Jul 12, 2023
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    (2023). Java 1650,1800,1900 [Global Collaboratory on the History of Labour Relations 1500-2000 Dataset] [Dataset]. https://druid.datalegend.net/IISG/iisg-kg/browser?resource=https%3A%2F%2Fiisg.amsterdam%2Fid%2Fdataset%2F1261
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    Dataset updated
    Jul 12, 2023
    Description

    Labour Relations in Java (Indonesia): 1650, 1800, 1900

    An abridged data format, created by Daan Jansen (IISH) and continuing on earlier work by Joris Kok (IISH), is being offered as an alternative in October 2020. This new version of the dataset includes only records that contain labour relations, leaving out all population data. This update also involved (depending on the dataset in question, substantial) data cleaning, separating male and female individuals, and removing any duplicate records. Hence, the aggregated number of people mentioned in these updated datasets should equal the total population.

  14. Data set of cropland land spatial distribution pattern in Brahmaputra River...

    • tpdc.ac.cn
    • data.tpdc.ac.cn
    zip
    Updated Jun 24, 2021
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    Juanping TAO; Yukun WANG (2021). Data set of cropland land spatial distribution pattern in Brahmaputra River and Its Two Tributaries (1800, 1900) [Dataset]. http://doi.org/10.11888/Soil.tpdc.271462
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    zipAvailable download formats
    Dataset updated
    Jun 24, 2021
    Dataset provided by
    Tanzania Petroleum Development Corporationhttp://tpdc.co.tz/
    Authors
    Juanping TAO; Yukun WANG
    Area covered
    Description

    The data of cultivated land in 1800 comes from tiehu Inventory, in which the data of Lazi county and Xietongmen County in the modern administrative unit are not recorded. Therefore, the missing data of these two counties should be interpolated.The farmland data in 1900 came from the annals of Lhasa and other county Chronicles.The land area recorded in the data is converted into modern mu units, and the missing counties are calculated using the area's per capita cultivated land and population.Tibetan Plateau with high altitude,cold climate,poor natural conditions and fragile ecological environment become the sensitive and promoter region of global climate change.Studying for Land reclamation of historical period in Qinghai-Tibet Plateau is not only the specific way to participate in the global environmental change, but also can provide the comprehensive research of land use change with abundant regional information,there is important significance for studying history in our country even the whole world of land use/cover change research.The region of Brahmaputra River and its two tributaries in Tibetan Plateau pastoral transitional zone is one of the important typical agricultural area, and is the area with the most intense land reclamation activities and the fastest population growing.Proceeding deep historical data mining in the study area to reconstruct the cropland spatial patterns over the past 300 years has important significance to study the human land use activities under the background of global climate change.

  15. Population of Nigeria 1950-2024

    • statista.com
    Updated Aug 1, 2024
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    Statista (2024). Population of Nigeria 1950-2024 [Dataset]. https://www.statista.com/statistics/1122838/population-of-nigeria/
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    Dataset updated
    Aug 1, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Nigeria
    Description

    As of July 2024, Nigeria's population was estimated at around 229.5 million. Between 1965 and 2024, the number of people living in Nigeria increased at an average rate of over two percent. In 2024, the population grew by 2.42 percent compared to the previous year. Nigeria is the most populous country in Africa. By extension, the African continent records the highest growth rate in the world. Africa's most populous country Nigeria was the most populous country in Africa as of 2023. As of 2022, Lagos held the distinction of being Nigeria's biggest urban center, a status it also retained as the largest city across all of sub-Saharan Africa. The city boasted an excess of 17.5 million residents. Notably, Lagos assumed the pivotal roles of the nation's primary financial hub, cultural epicenter, and educational nucleus. Furthermore, Lagos was one of the largest urban agglomerations in the world. Nigeria's youthful population In Nigeria, a significant 50 percent of the populace is under the age of 19. The most prominent age bracket is constituted by those up to four years old: comprising 8.3 percent of men and eight percent of women as of 2021. Nigeria boasts one of the world's most youthful populations. On a broader scale, both within Africa and internationally, Niger maintains the lowest median age record. Nigeria secures the 20th position in global rankings. Furthermore, the life expectancy in Nigeria is an average of 62 years old. However, this is different between men and women. The main causes of death have been neonatal disorders, malaria, and diarrheal diseases.

  16. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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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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Population of the world 10,000BCE-2100

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18 scholarly articles cite this dataset (View in Google Scholar)
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.

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