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Data

Number of deaths from HIV/AIDS

See all data and research on:
HIV/AIDS

What you should know about this indicator

The number of people dying from AIDS-related causes can be obtained using a variety of measures, including through a vital registration system adjusted for misreporting, as part of a facility- or population-based survey that may include verbal autopsy and through mathematical modelling using such tools as Spectrum. Modelling tools typically use demographic data, HIV prevalence from survey and surveillance, the number of people receiving antiretroviral therapy, HIV incidence and assumptions around survival patterns to estimate the number of people dying. In some instances, data from vital reporting systems and estimates of underreporting and misclassification also may be incorporated into these models to derive estimates of the number of AIDS-related deaths.

The source of the estimate is requested. Countries providing the number of people dying from AIDS-related causes derived from a source other than Spectrum should provide any accompanying estimates of uncertainty around this number and upload an electronic copy of the report describing how the number was calculated.

Countries should preferably report a modelled estimate rather than one derived from their vital registration system unless this system has been recently evaluated as one of high quality. Users can now opt to use their Spectrum estimate or enter nationally representative population-level data. If Spectrum estimates are chosen, the values will be pulled directly from the software once the national file is finalized.

Number of deaths from HIV/AIDS
Number of people dying from AIDS-related causes. This is measured annually and is disaggregated by sex, and age group.
Source
Joint United Nations Programme on HIV/AIDS (2023) – with minor processing by Our World in Data
Last updated
August 9, 2023
Date range
1990–2022
Unit
deaths

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Sources and processing

This data is based on the following sources

UNAIDS leads the world's most extensive data collection on HIV epidemiology, programme coverage and finance and publishes the most authoritative and up-to-date information on the HIV epidemic.

In some cases there is no data for some country and year. This can be a result of very small epidemics among women in the reproductive age which makes estimation of the mother to child transmission very unstable. Another reason for missing data is that relevant authorities may have asked UNAIDS not to share their estimates.

This report makes clear that there is a path to end AIDS. Taking that path will help ensure preparedness to address other pandemic challenges, and advance progress across the Sustainable Development Goals. The data and real-world examples in the report make it very clear what that path is. It is not a mystery. It is a choice. Some leaders are already following the path—and succeeding. It is inspiring to note that Botswana, Eswatini, Rwanda, the United Republic of Tanzania and Zimbabwe have already achieved the 95–95–95 targets, and at least 16 other countries (including eight in sub-Saharan Africa) are close to doing so.

Retrieved on
August 9, 2023
Retrieved from
https://aidsinfo.unaids.org/
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 path that ends AIDS: UNAIDS Global AIDS Update 2023. Geneva: Joint United Nations Programme on HIV/AIDS; 2023.
Licence: CC BY-NC-SA 3.0 IGO.

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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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: Number of deaths from HIV/AIDS”, part of the following publication: Max Roser and Hannah Ritchie (2023) - “HIV / AIDS”. Data adapted from Joint United Nations Programme on HIV/AIDS. Retrieved from https://ourworldindata.org/grapher/deaths-from-aids-un [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:

Joint United Nations Programme on HIV/AIDS (2023) – with minor processing by Our World in Data

Full citation

Joint United Nations Programme on HIV/AIDS (2023) – with minor processing by Our World in Data. “Number of deaths from HIV/AIDS” [dataset]. Joint United Nations Programme on HIV/AIDS, “Global AIDS Update” [original data]. Retrieved December 5, 2024 from https://ourworldindata.org/grapher/deaths-from-aids-un