What you should know about this indicator

The growth rate combines births, deaths, and net migration. The natural population growth rate reflects only the balance of births and deaths.

World population growth
Average exponential rate of growth of the population over a given period. It is calculated as ln(P2/P1) where P1 and P2 are the populations on subsequent years. Available from 1700 to 2100, based on data and estimates from different sources.
Source
HYDE (2023); Federico–Tena (2026); UN WPP (2024)with major processing by Our World in Data
Last updated
May 28, 2026
Next expected update
May 2028
Date range
1700–2100
Unit
%

Sources and processing

PBL Netherlands Environmental Assessment Agency – History Database of the Global Environment

This database presents an update and expansion of the History Database of the Global Environment (HYDE, v 3.3) and replaces former HYDE 3.2 version from 2017. HYDE is and internally consistent combination of updated historical population estimates and land use. 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. The period covered is 10 000 BCE to 2023 CE. Spatial resolution is 5 arc minutes (approx. 85 km2 at the equator), the files are in ESRI ASCII grid format.

Retrieved on
January 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.
Utrecht University/PBL Netherlands Environmental Assessment Agency - History Database of the Global Environment (HYDE v 3.3, 2023).
Klein Goldewijk, C.G.M., Beusen, A., Doelman, J., Stehfest, E., 2017, Anthropogenic land use estimates for the Holocene – HYDE 3.2, Earth Syst. Sci. Data, 9, 927–953

This database presents an update and expansion of the History Database of the Global Environment (HYDE, v 3.3) and replaces former HYDE 3.2 version from 2017. HYDE is and internally consistent combination of updated historical population estimates and land use. 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. The period covered is 10 000 BCE to 2023 CE. Spatial resolution is 5 arc minutes (approx. 85 km2 at the equator), the files are in ESRI ASCII grid format.

Retrieved on
January 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.
Utrecht University/PBL Netherlands Environmental Assessment Agency - History Database of the Global Environment (HYDE v 3.3, 2023).
Klein Goldewijk, C.G.M., Beusen, A., Doelman, J., Stehfest, E., 2017, Anthropogenic land use estimates for the Holocene – HYDE 3.2, Earth Syst. Sci. Data, 9, 927–953

Federico and Tena-Junguito – World Population Historical Database (1991 borders)

Annual population estimates for all polities from 1800 to 1938, harmonized to 1991 political borders. The Federico–Tena World Population Historical Database is the result of re-estimating historical population series using first-hand sources and country-specific literature; the 2026 update revises the Africa series using Patrick Manning's African Population Database 1850–1960 and other regional sources. Values are reported in thousands of people.

Retrieved on
May 20, 2026
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.
Federico, Giovanni and Antonio Tena-Junguito (2025). Federico–Tena World Population Historical Database: World Population borders 1991 (2026), V2. doi:10.21950/GW7SOZ. Building on Federico, G. and Tena-Junguito, A. (2023). "How many people on Earth? World Population 1800-1938". Working Papers in Economic History 23-02, Instituto Figuerola, Universidad Carlos III de Madrid.

Annual population estimates for all polities from 1800 to 1938, harmonized to 1991 political borders. The Federico–Tena World Population Historical Database is the result of re-estimating historical population series using first-hand sources and country-specific literature; the 2026 update revises the Africa series using Patrick Manning's African Population Database 1850–1960 and other regional sources. Values are reported in thousands of people.

Retrieved on
May 20, 2026
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.
Federico, Giovanni and Antonio Tena-Junguito (2025). Federico–Tena World Population Historical Database: World Population borders 1991 (2026), V2. doi:10.21950/GW7SOZ. Building on Federico, G. and Tena-Junguito, A. (2023). "How many people on Earth? World Population 1800-1938". Working Papers in Economic History 23-02, Instituto Figuerola, Universidad Carlos III de Madrid.

United Nations – World Population Prospects

World Population Prospects 2024 is the 28th 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. If you have questions about this dataset, please refer to their FAQ. You can also explore data sources for each country or visit their main page for more details.

Retrieved on
July 11, 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.
United Nations, Department of Economic and Social Affairs, Population Division (2024). World Population Prospects 2024, Online Edition.

World Population Prospects 2024 is the 28th 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. If you have questions about this dataset, please refer to their FAQ. You can also explore data sources for each country or visit their main page for more details.

Retrieved on
July 11, 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.
United Nations, Department of Economic and Social Affairs, Population Division (2024). World Population Prospects 2024, Online Edition.

United Nations – World Population Prospects - Interim Update

World Population Prospects 2024 is the 28th 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. If you have questions about this dataset, please refer to their FAQ. You can also explore data sources for each country or visit their main page for more details.

This is an interim update containing revised medium-variant estimates and projections for Togo.

Retrieved on
March 31, 2026
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 (2024). World Population Prospects 2024, Online Edition.

World Population Prospects 2024 is the 28th 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. If you have questions about this dataset, please refer to their FAQ. You can also explore data sources for each country or visit their main page for more details.

This is an interim update containing revised medium-variant estimates and projections for Togo.

Retrieved on
March 31, 2026
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 (2024). World Population Prospects 2024, Online Edition.

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
Notes on our processing step for this indicator

Combination of different sources

We construct our long-run data by combining multiple sources:

  • 10,000 BCE–1799: historical estimates by HYDE (v3.3). Growth rate estimated over 50-year periods.

  • 1800–1949: historical estimates by the Federico-Tena World Population Database (v2; 1939–1949 interpolated to UN WPP 1950). Growth rate estimated over 1-year periods.

  • 1950–2023: population records from the United Nations World Population Prospects (2024 revision). We use the UN's published growth rates directly (based on mid-year population estimates).

Display filtering

To reduce noise in sparse historical data, growth rates are selectively displayed:

  • 1700–1799: Only 100-year intervals (1700, 1800)

  • 1800–1899: Only 100-year intervals (1800, 1900)

  • 1900–1949: Only 5-year intervals (1900, 1905, 1910, etc.)

  • 1950 onwards: All years (annual data)

  • 2024-2100: Projections based on Medium variant by the UN World Population Prospects (2024 revision). Growth rate estimated over 1-year periods.

Geographical aggregates

  • For most years, we calculate aggregates by summing the population of member countries.
  • We do this based on our definition of continents and the World Bank’s income groups.
  • The only exception is before 1800, where we use HYDE's estimates for continents (but not income groups).

For most of the years, we've estimated regional aggregates by summing the population of countries in each region. We've relied on our continents and World Bank income group definitions. The only exception is before 1800, where we've used HYDE's estimates on continents (but not income groups).

World

  • Before 1800: we use data from HYDE.
  • 1800-1950: we estimate the global population by summing all available countries in the dataset.
  • After 1950, we rely on estimates from the United Nations World Population Prospects.

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 growth”, 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 PBL Netherlands Environmental Assessment Agency, Federico and Tena-Junguito, United Nations. Retrieved from https://data-population-omm.owid.pages.dev:8789/20260518-083815/grapher/population-growth-rate.html [online resource] (archived on May 18, 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:

HYDE (2023); Federico–Tena (2026); UN WPP (2024) – with major processing by Our World in Data

Full citation

HYDE (2023); Federico–Tena (2026); UN WPP (2024) – with major processing by Our World in Data. “World population growth” [dataset]. PBL Netherlands Environmental Assessment Agency, “History Database of the Global Environment 3.3”; Federico and Tena-Junguito, “World Population Historical Database (1991 borders) V2 (2026 update, 1991 borders)”; United Nations, “World Population Prospects”; United Nations, “World Population Prospects - Interim Update” [original data]. Retrieved June 10, 2026 from https://data-population-omm.owid.pages.dev:8789/20260518-083815/grapher/population-growth-rate.html (archived on May 18, 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://data-population-omm.owid.pages.dev/grapher/population-growth-rate.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://data-population-omm.owid.pages.dev/grapher/population-growth-rate.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://data-population-omm.owid.pages.dev/grapher/population-growth-rate.csv?v=1&csvType=full&useColumnShortNames=false")
Python with Pandas
import pandas as pd
import requests

# Fetch the data.
df = pd.read_csv("https://data-population-omm.owid.pages.dev/grapher/population-growth-rate.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://data-population-omm.owid.pages.dev/grapher/population-growth-rate.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://data-population-omm.owid.pages.dev/grapher/population-growth-rate.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://data-population-omm.owid.pages.dev/grapher/population-growth-rate.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://data-population-omm.owid.pages.dev/grapher/population-growth-rate.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear