Share of population living in urban areasUN national definitions, HYDE
- Description
Share of the population living in urban areas, combining UN estimates with modeled historical data.
- Data source
- HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025) – with minor processing by Our World in Data
- Unit
- %
- Date range
- -10000-2025
- Last updated
- 2026-02-17
- Next expected update
- 2027-02-17
- Managed by
- Lucas Rodés-Guirao
From 1950 onward, this indicator uses the UN World Urbanization Prospects, based on each country's own definition of urban and rural areas. For earlier years, it draws on HYDE v3.3 (History Database of the Global Environment), a modeled reconstruction of historical settlement patterns rather than direct observations.
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Frequently asked questions
How did Our World in Data process this data?
How did Our World in Data process this 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.
Notes on our processing step for this indicator
We combined two sources to extend the urban share series as far back as possible. For years before 1950, we use urban population share estimates from HYDE v3.3. From 1950 onward, we use the urban population share from the UN World Urbanization Prospects, based on each country's national definition.
Data sources
PBL Netherlands Environmental Assessment Agency – History Database of the Global Environment
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.
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, 927–953United Nations Department of Economic and Social Affairs, Population Division – World Urbanization Prospects 2025 – Percentage Urban and Rural by National Definition
United Nations Department of Economic and Social Affairs, Population Division – World Urbanization Prospects 2025 – Percentage Urban and Rural by National Definition
Percentage of population living in urban and rural areas based on national definitions of urban areas. The dataset provides the share of total population living in urban and rural areas by region, subregion, country and area from 1950 to 2050.
National definitions of "urban" vary considerably from country to country. Criteria such as population size, population density, type of economic activity, physical characteristics, level of infrastructure, or a combination of these may be used to define urban areas.
United Nations, Department of Economic and Social Affairs, Population Division (2025). World Urbanization Prospects: The 2025 Revision, Online Edition. POP/DB/WUP/Rev.2025/F15How to cite
How to cite this page
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: Share of population living in urban areas”, part of the following publication: Esteban Ortiz-Ospina, Veronika Samborska, Hannah Ritchie, and Max Roser (2024) - “Urbanization”. Data adapted from PBL Netherlands Environmental Assessment Agency, United Nations Department of Economic and Social Affairs, Population Division. Retrieved from https://archive.ourworldindata.org/20261102-112946/grapher/urban-population-share-2050.html [online resource] (archived on November 2, 2026).How to cite this data
How to cite this data
If you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:
HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025) – with minor processing by Our World in DataFull citation
HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025) – with minor processing by Our World in Data. “Share of population living in urban areas – UN national definitions, HYDE” [dataset]. PBL Netherlands Environmental Assessment Agency, “History Database of the Global Environment 3.3”; United Nations Department of Economic and Social Affairs, Population Division, “World Urbanization Prospects 2025 – Percentage Urban and Rural by National Definition” [original data]. Retrieved November 2, 2026 from https://archive.ourworldindata.org/20261102-112946/grapher/urban-population-share-2050.html (archived on November 2, 2026).All data produced by third-party providers and made available by Our World in Data are subject to the license terms from the original providers. Our work would not be possible without the data providers we rely on, so we ask you to always cite them appropriately. This is crucial to allow data providers to continue doing their work, enhancing, maintaining and updating valuable data.
All data, visualizations, and code produced by Our World in Data are completely open access under the Creative Commons BY license. You have the permission to use, distribute, and reproduce these in any medium, provided the source and authors are credited.
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