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Data

Condoms distributed and sold per 1,000 population

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HIV/AIDS

What you should know about this indicator

  • This indicator measures how many condoms were distributed per 1,000 people over the course of a year.
  • It includes condoms distributed for free by public providers, condoms sold at subsidized prices through social marketing programs (often run by non-governmental organizations), and condoms sold commercially through the private sector.
  • The data counts condoms leaving central or regional warehouses for onward distribution, not condoms actually used.
  • Condoms are counted only once, even if they pass between distribution channels (for example, from public sector warehouses to NGOs or community workers).

How is this data described by its producer?

Condoms have been shown to be one of the most effective methods in preventing the sexual transmission of HIV, other sexually transmitted infections (STIs) and unintended pregnancy, with effectiveness that increases with consistent and correct use. The World Health Organization (WHO) and UNAIDS recommendations emphasize that condom distribution and promotion is an efficacious intervention and a critical component of combination HIV prevention.

Count of the number of male and female condoms that left the central or regional warehouses for onward distribution in the previous calendar year. Data should include condoms distributed for free (public providers), condoms sold at subsidized rates through social marketing (nongovernmental organizations as providers) and condoms sold through the commercial sector (private sector providers). There should be no double-counting of condoms in case of overlap. If condoms from public sector warehouses are given to nongovernmental organizations or community workers for distribution, condoms should be accounted for in the public sector.

Condoms distributed and sold per 1,000 population
The number of condoms distributed and sold per 1,000 people in a given year, including free public-sector distribution, subsidized from non-governmental organizations, and commercial sales.
Source
Joint United Nations Programme on HIV/AIDS (2026); Population based on various sources (2024) – with minor processing by Our World in Data
Last updated
January 19, 2026
Date range
2019–2024
Unit
condoms per 1,000 people

Sources and processing

This data is based on the following sources

Joint United Nations Programme on HIV/AIDS – Global AIDS Update, Global Aids Monitoring

GAM is a standardized reporting framework coordinated by UNAIDS in which countries report HIV-related data every year. The data are used to assess progress toward global targets (currently the 95–95–95 targets and post-2025 goals).

The indicators and questions in this document are designed for use by national AIDS programmes and partners to assess the state of a country's HIV and AIDS response, and to measure progress towards achieving national HIV targets. Countries are encouraged to integrate these indicators and questions into their ongoing monitoring efforts and to report comprehensive national data through the Global AIDS Monitoring (GAM) process. In this way they will contribute to improving understanding of the global response to the HIV epidemic, including progress that has been made towards achieving the commitments and global targets set out in the new United Nations Political Declaration on HIV and AIDS: Ending Inequalities and Getting on Track to End AIDS by 2030, adopted in June 2021, and the linked Sustainable Development Goals.

Retrieved on
January 19, 2026
Retrieved from
https://aidsinfo.unaids.org/dataset
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.
AIDS, crisis and the power to transform: UNAIDS Global AIDS Update 2025. Geneva: Joint United Nations Programme on HIV/AIDS; 2025. Full report: https://www.unaids.org/en/resources/documents/2025/2025-global-aids-update-summary

GAM is a standardized reporting framework coordinated by UNAIDS in which countries report HIV-related data every year. The data are used to assess progress toward global targets (currently the 95–95–95 targets and post-2025 goals).

The indicators and questions in this document are designed for use by national AIDS programmes and partners to assess the state of a country's HIV and AIDS response, and to measure progress towards achieving national HIV targets. Countries are encouraged to integrate these indicators and questions into their ongoing monitoring efforts and to report comprehensive national data through the Global AIDS Monitoring (GAM) process. In this way they will contribute to improving understanding of the global response to the HIV epidemic, including progress that has been made towards achieving the commitments and global targets set out in the new United Nations Political Declaration on HIV and AIDS: Ending Inequalities and Getting on Track to End AIDS by 2030, adopted in June 2021, and the linked Sustainable Development Goals.

Retrieved on
January 19, 2026
Retrieved from
https://aidsinfo.unaids.org/dataset
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.
AIDS, crisis and the power to transform: UNAIDS Global AIDS Update 2025. Geneva: Joint United Nations Programme on HIV/AIDS; 2025. Full report: https://www.unaids.org/en/resources/documents/2025/2025-global-aids-update-summary

Joint United Nations Programme on HIV/AIDS – Global AIDS Update, Key Population Atlas

The Key Populations Atlas brings together data from diverse sources into one visual tool.

With the collaboration of the Global Fund to Fight AIDS, Tuberculosis and Malaria, the World Health Organization, the Division of Global HIV and Tuberculosis of the U.S. Centers for Disease Control and Prevention, UNAIDS collected, collated and assessed selected indicators in a single database.

The purpose of the project is to provide more local level data for local level action for policy-makers, program directors, and community activists and advocates among others.

This Atlas extends the data dissemination and displaying capacity of AIDSinfo to better match local person, place and time data with the exigencies of an effective response to the HIV epidemic. The indicators included extend beyond traditional Global AIDS Monitoring.

Data on stigma and discrimination, particularly in the health service sector, and the legal environment were extracted and mapped, for example, to better capture some of the structural challenges in mounting effective responses for key populations communities.

Retrieved on
January 19, 2026
Retrieved from
https://aidsinfo.unaids.org/dataset
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.
AIDS, crisis and the power to transform: UNAIDS Global AIDS Update 2025. Geneva: Joint United Nations Programme on HIV/AIDS; 2025. Full report: https://www.unaids.org/en/resources/documents/2025/2025-global-aids-update-summary

The Key Populations Atlas brings together data from diverse sources into one visual tool.

With the collaboration of the Global Fund to Fight AIDS, Tuberculosis and Malaria, the World Health Organization, the Division of Global HIV and Tuberculosis of the U.S. Centers for Disease Control and Prevention, UNAIDS collected, collated and assessed selected indicators in a single database.

The purpose of the project is to provide more local level data for local level action for policy-makers, program directors, and community activists and advocates among others.

This Atlas extends the data dissemination and displaying capacity of AIDSinfo to better match local person, place and time data with the exigencies of an effective response to the HIV epidemic. The indicators included extend beyond traditional Global AIDS Monitoring.

Data on stigma and discrimination, particularly in the health service sector, and the legal environment were extracted and mapped, for example, to better capture some of the structural challenges in mounting effective responses for key populations communities.

Retrieved on
January 19, 2026
Retrieved from
https://aidsinfo.unaids.org/dataset
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.
AIDS, crisis and the power to transform: UNAIDS Global AIDS Update 2025. Geneva: Joint United Nations Programme on HIV/AIDS; 2025. Full report: https://www.unaids.org/en/resources/documents/2025/2025-global-aids-update-summary

Various sources – Population

Our World in Data builds and maintains a long-run dataset on population by country, region, and for the world, based on various sources.

You can find more information on these sources and how our time series is constructed on this page: https://ourworldindata.org/population-sources

Retrieved on
March 31, 2026
Retrieved from
https://ourworldindata.org/population-sources
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.
The long-run data on population is based on various sources, described on this page: https://ourworldindata.org/population-sources

Our World in Data builds and maintains a long-run dataset on population by country, region, and for the world, based on various sources.

You can find more information on these sources and how our time series is constructed on this page: https://ourworldindata.org/population-sources

Retrieved on
March 31, 2026
Retrieved from
https://ourworldindata.org/population-sources
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.
The long-run data on population is based on various sources, described on this page: https://ourworldindata.org/population-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.

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.
  • 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.

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: Condoms distributed and sold per 1,000 population”, part of the following publication: Max Roser and Hannah Ritchie (2023) - “HIV / AIDS”. Data adapted from Joint United Nations Programme on HIV/AIDS, Various sources. Retrieved from https://archive.ourworldindata.org/20260402-164039/grapher/annual-condoms-distributed-and-sold-per-1000-people.html [online resource] (archived on April 2, 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:

Joint United Nations Programme on HIV/AIDS (2026); Population based on various sources (2024) – with minor processing by Our World in Data

Full citation

Joint United Nations Programme on HIV/AIDS (2026); Population based on various sources (2024) – with minor processing by Our World in Data. “Condoms distributed and sold per 1,000 population” [dataset]. Joint United Nations Programme on HIV/AIDS, “Global AIDS Update, Global Aids Monitoring”; Joint United Nations Programme on HIV/AIDS, “Global AIDS Update, Key Population Atlas”; Various sources, “Population” [original data]. Retrieved April 3, 2026 from https://archive.ourworldindata.org/20260402-164039/grapher/annual-condoms-distributed-and-sold-per-1000-people.html (archived on April 2, 2026).

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Data API

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Data URL (CSV format)
https://ourworldindata.org/grapher/annual-condoms-distributed-and-sold-per-1000-people.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/annual-condoms-distributed-and-sold-per-1000-people.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://ourworldindata.org/grapher/annual-condoms-distributed-and-sold-per-1000-people.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/annual-condoms-distributed-and-sold-per-1000-people.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/annual-condoms-distributed-and-sold-per-1000-people.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/annual-condoms-distributed-and-sold-per-1000-people.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/annual-condoms-distributed-and-sold-per-1000-people.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/annual-condoms-distributed-and-sold-per-1000-people.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear