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Diabetes prevalence, 2021

The share of people aged 20-79 who have diabetes. Diabetes is a risk factor for chronic complications, including cardiovascular disease, and premature death.

Diabetes prevalence (% of population ages 20 to 79) % of population ages 20 to 79
Country/area
2021
Afghanistan
10.90%
Albania
10.20%
Algeria
7.10%
American Samoa
20.30%
Andorra
9.70%
Angola
4.60%
Antigua and Barbuda
11.70%
Argentina
5.40%
Armenia
5.60%
Aruba
4.30%
Australia
6.40%
Austria
4.60%
Azerbaijan
5.60%
Bahamas
8.80%
Bahrain
11.30%
Bangladesh
14.20%
Barbados
14.00%
Belarus
5.60%
Belgium
3.60%
Belize
14.50%
Benin
1.10%
Bermuda
13.00%
Bhutan
10.40%
Bolivia
5.50%
Bosnia and Herzegovina
9.10%
Botswana
5.20%
Brazil
8.80%
British Virgin Islands
8.70%
Brunei
11.10%
Bulgaria
7.40%
Burkina Faso
2.10%
Burundi
6.50%
Cambodia
7.30%
Cameroon
5.50%
Canada
7.70%
Cape Verde
2.10%
Cayman Islands
13.00%
Central African Republic
5.80%
Chad
5.80%
Chile
10.80%
China
10.60%
Colombia
8.30%
Comoros
11.70%
Congo
5.50%
Costa Rica
8.80%
Cote d'Ivoire
2.10%
Croatia
4.80%
Cuba
7.60%
Curacao
11.70%
Cyprus
8.60%
Czechia
7.10%
Democratic Republic of Congo
5.80%
Denmark
5.30%
Djibouti
7.40%
Dominica
11.70%
Dominican Republic
10.50%
East Timor
8.60%
Ecuador
4.40%
Egypt
20.90%
El Salvador
6.30%
Equatorial Guinea
5.50%
Eritrea
6.50%
Estonia
6.50%
Eswatini
4.60%
Ethiopia
5.00%
Fiji
17.70%
Finland
6.10%
France
5.30%
French Polynesia
25.20%
Gabon
5.50%
Gambia
1.90%
Georgia
5.70%
Germany
6.90%
Ghana
2.60%
Greece
6.40%
Greenland
3.30%
Grenada
12.60%
Guam
19.10%
Guatemala
13.10%
Guinea
2.10%
Guinea-Bissau
2.10%
Guyana
11.70%
Haiti
8.90%
Honduras
5.10%
Hong Kong
7.80%
Hungary
7.00%
Iceland
5.50%
India
9.60%
Indonesia
10.60%
Iran
9.10%
Iraq
10.70%
Ireland
3.00%
Isle of Man
6.30%
Israel
8.50%
Italy
6.40%
Jamaica
11.10%
Japan
6.60%
Jordan
15.40%
Kazakhstan
6.60%
Kenya
4.00%
Kiribati
22.10%
Kuwait
24.90%
Kyrgyzstan
6.60%
Laos
6.20%
Latvia
5.90%
Lebanon
8.00%
Lesotho
4.60%
Liberia
2.10%
Libya
8.70%
Liechtenstein
6.10%
Lithuania
5.80%
Luxembourg
5.90%
Macao
7.80%
Madagascar
4.60%
Malawi
7.30%
Malaysia
19.00%
Maldives
9.20%
Mali
2.10%
Malta
8.00%
Marshall Islands
23.00%
Mauritania
2.10%
Mauritius
22.60%
Mexico
16.90%
Micronesia (country)
15.60%
Moldova
5.60%
Monaco
6.20%
Mongolia
6.90%
Montenegro
9.10%
Morocco
9.10%
Mozambique
3.30%
Myanmar
7.10%
Namibia
6.70%
Nauru
23.40%
Nepal
8.70%
Netherlands
4.50%
New Caledonia
23.40%
New Zealand
6.20%
Nicaragua
9.30%
Niger
5.20%
Nigeria
3.60%
North Korea
8.60%
North Macedonia
6.10%
Northern Mariana Islands
23.40%
Norway
3.60%
Oman
13.80%
Pakistan
30.80%
Palau
17.00%
Palestine
9.20%
Panama
8.20%
Papua New Guinea
16.70%
Paraguay
7.50%
Peru
4.80%
Philippines
7.10%
Poland
6.80%
Portugal
9.10%
Puerto Rico
13.30%
Qatar
19.50%
Romania
6.50%
Russia
5.60%
Rwanda
6.50%
Saint Kitts and Nevis
16.10%
Saint Lucia
11.70%
Saint Vincent and the Grenadines
8.00%
Samoa
9.20%
San Marino
7.40%
Sao Tome and Principe
5.50%
Saudi Arabia
18.70%
Senegal
3.10%
Serbia
9.10%
Seychelles
8.50%
Sierra Leone
2.10%
Singapore
11.60%
Slovakia
5.80%
Slovenia
5.80%
Solomon Islands
19.80%
Somalia
6.50%
South Africa
10.80%
South Korea
6.80%
South Sudan
6.50%
Spain
10.30%
Sri Lanka
11.30%
Sudan
18.90%
Suriname
12.70%
Sweden
5.00%
Switzerland
4.60%
Syria
14.90%
Tajikistan
6.60%
Tanzania
12.30%
Thailand
9.70%
Togo
2.10%
Tonga
15.00%
Trinidad and Tobago
12.70%
Tunisia
9.60%
Turkey
14.50%
Turkmenistan
6.70%
Tuvalu
20.30%
Uganda
4.60%
Ukraine
5.60%
United Arab Emirates
16.40%
United Kingdom
6.30%
United States
10.70%
United States Virgin Islands
12.40%
Uruguay
9.00%
Uzbekistan
7.00%
Vanuatu
15.60%
Venezuela
9.60%
Vietnam
6.10%
Yemen
5.40%
Zambia
11.90%
Zimbabwe
2.10%
Other
Channel Islands
6.30%
East Asia and Pacific (WB)
9.87%
Europe and Central Asia (WB)
7.04%
European Union (27)
6.61%
Faeroe Islands
3.80%
High-income countries
8.07%
Latin America and Caribbean (WB)
9.88%
Low-income countries
6.78%
Lower-middle-income countries
10.71%
Middle East and North Africa (WB)
12.84%
Middle-income countries
10.55%
North America (WB)
10.38%
South Asia (WB)
12.33%
Sub-Saharan Africa (WB)
5.82%
Upper-middle-income countries
10.40%
World
9.80%
Data

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
International Diabetes Federation (via World Bank) (2025) – processed by Our World in Data
Last updated
January 24, 2025
Next expected update
January 2026
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
January 24, 2025
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 Development Indicators (WDI), The World Bank (2025).

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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

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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 (2025). 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:

International Diabetes Federation (via World Bank) (2025) – processed by Our World in Data

Full citation

International Diabetes Federation (via World Bank) (2025) – processed by Our World in Data. “Diabetes prevalence” [dataset]. International Diabetes Federation (via World Bank), “World Development Indicators” [original data]. Retrieved April 4, 2025 from https://ourworldindata.org/grapher/diabetes-prevalence

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