World population, comparison of different historical sources
About this data
More Data on Population Growth
Sources and processing
This data is based on the following sources
How we process data at Our World in Data
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.
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Citations
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 DataFull 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).Download
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=falseMetadata URL (JSON format)
https://ourworldindata.org/grapher/world-population-comparison-historical-sources.metadata.json?v=1&csvType=full&useColumnShortNames=falseExcel / 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