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Diabetes prevalence

What you should know about this indicator

Diabetes prevalence refers to the percentage of people ages 20-79 who have type 1 or type 2 diabetes. It is calculated by adjusting to a standard population age-structure.

Limitations and exceptions: The limited availability of data on health status is a major constraint in assessing the health situation in developing countries. Surveillance data are lacking for many major public health concerns. Estimates of prevalence and incidence are available for some diseases but are often unreliable and incomplete. National health authorities differ widely in capacity and willingness to collect or report information.

Source
Multiple sources compiled by World Bank (2024) – processed by Our World in Data
Last updated
May 20, 2024
Next expected update
May 2025
Date range
2000–2021
Unit
% of population ages 20 to 79

Explore charts that include this data

Diabetes prevalence vs. GDP per capita

Sources and processing

This data is based on the following sources

The World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.

Retrieved on
May 20, 2024
Retrieved from
https://datacatalog.worldbank.org/search/dataset/0037712/World-Development-Indicators
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.
World Bank's World Development Indicators (WDI).

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.

Read about our data pipeline

Reuse this work

  • 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 (see below). This is crucial to allow data providers to continue doing their work, enhancing, maintaining and updating valuable 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: Diabetes prevalence”. Our World in Data (2024). Data adapted from International Diabetes Federation (via World Bank). Retrieved from https://ourworldindata.org/grapher/diabetes-prevalence [online resource]
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 World Bank (2024) – processed by Our World in Data

Full citation

Multiple sources compiled by World Bank (2024) – processed by Our World in Data. “Diabetes prevalence” [dataset]. International Diabetes Federation (via World Bank), “World Development Indicators” [original data]. Retrieved November 15, 2024 from https://ourworldindata.org/grapher/diabetes-prevalence