Data

World population, comparison of different historical sources

See all data and research on:

About this data

World population, comparison of different historical sources
Total world population.
Source
Multiple sources compiled by Our World in Data (2019); HYDE (2017); Gapminder, Population v7 (2022); United Nations (2022); Population based on various sources (2023)with major processing by Our World in Data
Last updated
July 3, 2023
Date range
10000 BCE – 2100 CE
Unit
people

Sources and processing

Various sources – Historical world population comparison

Among others these are the original source:

McEvedy, Colin and Richard Jones, 1978, "Atlas of World Population History," Facts on File, New York, pp. 342-351.

Biraben, Jean-Noel, 1980, An Essay Concerning Mankind's Evolution, Population, Selected Papers, December, table 2.

Durand, John D., 1974, "Historical Estimates of World Population: An Evaluation," University of Pennsylvania, Population Center, Analytical and Technical Reports, Number 10, table 2.

Haub, Carl, 1995, "How Many People Have Ever Lived on Earth?" Population Today, February, p. 5.

Thomlinson, Ralph, 1975, "Demographic Problems, Controversy Over Population Control," Second Edition, Table 1.

United Nations, 1999, The World at Six Billion, Table 1, "World Population From" Year 0 to Stabilization, p. 5, U.S. Census Bureau (USCB), 2012, Total Midyear Population for the World: 1950-2050.

Michael Kremer (1993) "Population Growth and Technological Change: One Million B.C. to 1990", Quarterly Journal of Economics., August 1993, pp.681-716.

Klein Goldewijk K, Beusen A, Janssen P (2010) "Long term dynamic modeling of global population and built-up area in a spatially explicit way: HYDE 3.1". The Holocene 20:565-573.

Retrieved on
December 2, 2024
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Multiple sources compiled by Our World in Data (2019). Historical world population comparison.

Among others these are the original source:

McEvedy, Colin and Richard Jones, 1978, "Atlas of World Population History," Facts on File, New York, pp. 342-351.

Biraben, Jean-Noel, 1980, An Essay Concerning Mankind's Evolution, Population, Selected Papers, December, table 2.

Durand, John D., 1974, "Historical Estimates of World Population: An Evaluation," University of Pennsylvania, Population Center, Analytical and Technical Reports, Number 10, table 2.

Haub, Carl, 1995, "How Many People Have Ever Lived on Earth?" Population Today, February, p. 5.

Thomlinson, Ralph, 1975, "Demographic Problems, Controversy Over Population Control," Second Edition, Table 1.

United Nations, 1999, The World at Six Billion, Table 1, "World Population From" Year 0 to Stabilization, p. 5, U.S. Census Bureau (USCB), 2012, Total Midyear Population for the World: 1950-2050.

Michael Kremer (1993) "Population Growth and Technological Change: One Million B.C. to 1990", Quarterly Journal of Economics., August 1993, pp.681-716.

Klein Goldewijk K, Beusen A, Janssen P (2010) "Long term dynamic modeling of global population and built-up area in a spatially explicit way: HYDE 3.1". The Holocene 20:565-573.

Retrieved on
December 2, 2024
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Multiple sources compiled by Our World in Data (2019). Historical world population comparison.

PBL Netherlands Environmental Assessment Agency – HYDE

HYDE is an internally consistent combination of updated historical population (gridded) estimates and land use for the past 12,000 years. Categories include cropland, with a new distinction into irrigated and rain fed crops (other than rice) and irrigated and rain fed rice. Also grazing lands are provided, divided into more intensively used pasture, converted rangeland and non-converted natural (less intensively used) rangeland. Population is represented by maps of total, urban, rural population and population density as well as built-up area.

Retrieved on
October 1, 2021
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Klein Goldewijk, K., A. Beusen, J.Doelman and E. Stehfest (2017), Anthropogenic land use estimates for the Holocene; HYDE 3.2, Earth System Science Data, 9, 927-953.

HYDE is an internally consistent combination of updated historical population (gridded) estimates and land use for the past 12,000 years. Categories include cropland, with a new distinction into irrigated and rain fed crops (other than rice) and irrigated and rain fed rice. Also grazing lands are provided, divided into more intensively used pasture, converted rangeland and non-converted natural (less intensively used) rangeland. Population is represented by maps of total, urban, rural population and population density as well as built-up area.

Retrieved on
October 1, 2021
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Klein Goldewijk, K., A. Beusen, J.Doelman and E. Stehfest (2017), Anthropogenic land use estimates for the Holocene; HYDE 3.2, Earth System Science Data, 9, 927-953.

Gapminder – Population

Gapminder's population data is divided into two chunks: One long historical trend for the global population that goes back to 10,000 BC. And the second chunk is country estimates that only reaches back to 1800.

For the first chunk, several sources were used. You can learn more at https://docs.google.com/spreadsheets/d/1hkLbEilJbl630IG68q-aQJlUjuTFm9b_12nQMVd1sZM/edit#gid=0. For the second chunk, Gapminder uses UN population data between 1950 to 2100 from the UN Population Division World Population Prospects 2019, and the forecast to the year 2100 uses their medium-fertility variant.

For years before 1950, this version uses the data documented in greater detail by Mattias Lindgren in version 3. The main source was Angus Maddison's data, which CLIO Infra Project maintained and improved. Note that when combining version 3 with the new UN data, the trends for a few countries didn't match up in the overlapping year 1950.

Minor adjustments were made to the years before and after to smooth out discrepancies between the two sources and avoid spurious jumps in Gapminder's visualisations.

Visit https://www.gapminder.org/data/documentation/gd003/ to learn more about the methodology used and the data from back to 10,000 BC.

Retrieved on
March 31, 2023
Retrieved from
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Gapminder Population v7 (2022)

Gapminder's population data is divided into two chunks: One long historical trend for the global population that goes back to 10,000 BC. And the second chunk is country estimates that only reaches back to 1800.

For the first chunk, several sources were used. You can learn more at https://docs.google.com/spreadsheets/d/1hkLbEilJbl630IG68q-aQJlUjuTFm9b_12nQMVd1sZM/edit#gid=0. For the second chunk, Gapminder uses UN population data between 1950 to 2100 from the UN Population Division World Population Prospects 2019, and the forecast to the year 2100 uses their medium-fertility variant.

For years before 1950, this version uses the data documented in greater detail by Mattias Lindgren in version 3. The main source was Angus Maddison's data, which CLIO Infra Project maintained and improved. Note that when combining version 3 with the new UN data, the trends for a few countries didn't match up in the overlapping year 1950.

Minor adjustments were made to the years before and after to smooth out discrepancies between the two sources and avoid spurious jumps in Gapminder's visualisations.

Visit https://www.gapminder.org/data/documentation/gd003/ to learn more about the methodology used and the data from back to 10,000 BC.

Retrieved on
March 31, 2023
Retrieved from
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Gapminder Population v7 (2022)

United Nations – World Population Prospects

World Population Prospects 2022 is the 27th edition of the official estimates and projections of the global population that have been published by the United Nations since 1951. The estimates are based on all available sources of data on population size and levels of fertility, mortality, and international migration for 237 countries or areas. More details at https://population.un.org/wpp/Publications/.

Retrieved on
September 9, 2022
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
United Nations, Department of Economic and Social Affairs, Population Division (2022). World Population Prospects 2022, Online Edition.

World Population Prospects 2022 is the 27th edition of the official estimates and projections of the global population that have been published by the United Nations since 1951. The estimates are based on all available sources of data on population size and levels of fertility, mortality, and international migration for 237 countries or areas. More details at https://population.un.org/wpp/Publications/.

Retrieved on
September 9, 2022
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
United Nations, Department of Economic and Social Affairs, Population Division (2022). World Population Prospects 2022, Online Edition.

Various sources – Population

Our World in Data builds and maintains a long-run dataset on population by country, region, and for the world, based on various sources.

You can find more information on these sources and how our time series is constructed on this page: https://ourworldindata.org/population-sources

Retrieved on
March 31, 2023
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
The long-run data on population is based on various sources, described on this page: https://ourworldindata.org/population-sources

Our World in Data builds and maintains a long-run dataset on population by country, region, and for the world, based on various sources.

You can find more information on these sources and how our time series is constructed on this page: https://ourworldindata.org/population-sources

Retrieved on
March 31, 2023
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
The long-run data on population is based on various sources, described on this page: https://ourworldindata.org/population-sources

All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

Read about our data pipeline

How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: World population, comparison of different historical sources”, part of the following publication: Hannah Ritchie, Lucas Rodés-Guirao, Edouard Mathieu, Marcel Gerber, Esteban Ortiz-Ospina, Joe Hasell, and Max Roser (2023) - “Population Growth”. Data adapted from Various sources, PBL Netherlands Environmental Assessment Agency, Gapminder, United Nations. Retrieved from https://archive.ourworldindata.org/20260513-071433/grapher/world-population-comparison-historical-sources.html [online resource] (archived on May 13, 2026).

How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

Multiple sources compiled by Our World in Data (2019) and other sources – with major processing by Our World in Data

Full citation

Multiple sources compiled by Our World in Data (2019); HYDE (2017); Gapminder, Population v7 (2022); United Nations (2022); Population based on various sources (2023) – with major processing by Our World in Data. “World population, comparison of different historical sources” [dataset]. Various sources, “Historical world population comparison”; PBL Netherlands Environmental Assessment Agency, “HYDE 3.2”; Gapminder, “Population v7”; United Nations, “World Population Prospects 2022”; Various sources, “Population” [original data]. Retrieved May 13, 2026 from https://archive.ourworldindata.org/20260513-071433/grapher/world-population-comparison-historical-sources.html (archived on May 13, 2026).

Quick download

Download the data shown in this chart as a ZIP file containing a CSV file, metadata in JSON format, and a README. The CSV file can be opened in Excel, Google Sheets, and other data analysis tools.

Data API

Use these URLs to programmatically access this chart's data and configure your requests with the options below. Our documentation provides more information on how to use the API, and you can find a few code examples below.

Data URL (CSV format)
https://ourworldindata.org/grapher/world-population-comparison-historical-sources.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/world-population-comparison-historical-sources.metadata.json?v=1&csvType=full&useColumnShortNames=false

Code examples

Examples of how to load this data into different data analysis tools.

Excel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/world-population-comparison-historical-sources.csv?v=1&csvType=full&useColumnShortNames=false")
Python with Pandas
import pandas as pd
import requests

# Fetch the data.
df = pd.read_csv("https://ourworldindata.org/grapher/world-population-comparison-historical-sources.csv?v=1&csvType=full&useColumnShortNames=false", storage_options = {'User-Agent': 'Our World In Data data fetch/1.0'})

# Fetch the metadata
metadata = requests.get("https://ourworldindata.org/grapher/world-population-comparison-historical-sources.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/world-population-comparison-historical-sources.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/world-population-comparison-historical-sources.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/world-population-comparison-historical-sources.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear