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Data

Sites providing rapid tuberculosis diagnostics per million people

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Tuberculosis

About this data

Sites providing rapid tuberculosis diagnostics per million people
Number of sites providing TB diagnostic services using molecular WHO-recommended rapid diagnostics at the end of the reporting year per million population.
Source
WHO (2025); UN, World Population Prospects (2024) – with major processing by Our World in Data
Last updated
February 5, 2026
Date range
2020–2023
Unit
sites per million population

Sources and processing

This data is based on the following sources

WHO – Global Tuberculosis Report - Laboratory Diagnostic Services

WHO has published a global tuberculosis (TB) report every year since 1997. The report provides a comprehensive and up-to-date assessment of the TB epidemic, and of progress in prevention, diagnosis and treatment of the disease at global, regional and country levels.

Retrieved on
February 5, 2026
Retrieved from
https://www.who.int/teams/global-tuberculosis-programme/data
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.
Global tuberculosis report 2025. Geneva: World Health Organization; 2025.

WHO has published a global tuberculosis (TB) report every year since 1997. The report provides a comprehensive and up-to-date assessment of the TB epidemic, and of progress in prevention, diagnosis and treatment of the disease at global, regional and country levels.

Retrieved on
February 5, 2026
Retrieved from
https://www.who.int/teams/global-tuberculosis-programme/data
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.
Global tuberculosis report 2025. Geneva: World Health Organization; 2025.

United Nations – World Population Prospects

World Population Prospects 2024 is the 28th edition of the official estimates and projections of the global population that have been published by the United Nations since 1951. The estimates are based on all available sources of data on population size and levels of fertility, mortality and international migration for 237 countries or areas. If you have questions about this dataset, please refer to their FAQ. You can also explore data sources for each country or visit their main page for more details.

Retrieved on
July 11, 2024
Retrieved from
https://population.un.org/wpp/downloads/
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.
United Nations, Department of Economic and Social Affairs, Population Division (2024). World Population Prospects 2024, Online Edition.

World Population Prospects 2024 is the 28th edition of the official estimates and projections of the global population that have been published by the United Nations since 1951. The estimates are based on all available sources of data on population size and levels of fertility, mortality and international migration for 237 countries or areas. If you have questions about this dataset, please refer to their FAQ. You can also explore data sources for each country or visit their main page for more details.

Retrieved on
July 11, 2024
Retrieved from
https://population.un.org/wpp/downloads/
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.
United Nations, Department of Economic and Social Affairs, Population Division (2024). World Population Prospects 2024, Online Edition.

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

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  • 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: Sites providing rapid tuberculosis diagnostics per million people”, part of the following publication: Saloni Dattani, Fiona Spooner, Hannah Ritchie, and Max Roser (2023) - “Tuberculosis”. Data adapted from WHO, United Nations. Retrieved from https://archive.ourworldindata.org/20260304-094028/grapher/sites-providing-rapid-tuberculosis-diagnostics-per-million-people.html [online resource] (archived on March 4, 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:

WHO (2025); UN, World Population Prospects (2024) – with major processing by Our World in Data

Full citation

WHO (2025); UN, World Population Prospects (2024) – with major processing by Our World in Data. “Sites providing rapid tuberculosis diagnostics per million people” [dataset]. WHO, “Global Tuberculosis Report - Laboratory Diagnostic Services”; United Nations, “World Population Prospects” [original data]. Retrieved April 1, 2026 from https://archive.ourworldindata.org/20260304-094028/grapher/sites-providing-rapid-tuberculosis-diagnostics-per-million-people.html (archived on March 4, 2026).

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Data API

Use these URLs to programmatically access this chart's data and configure your requests with the options below. Our documentation provides more information on how to use the API, and you can find a few code examples below.

Data URL (CSV format)
https://ourworldindata.org/grapher/sites-providing-rapid-tuberculosis-diagnostics-per-million-people.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/sites-providing-rapid-tuberculosis-diagnostics-per-million-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/sites-providing-rapid-tuberculosis-diagnostics-per-million-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/sites-providing-rapid-tuberculosis-diagnostics-per-million-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/sites-providing-rapid-tuberculosis-diagnostics-per-million-people.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/sites-providing-rapid-tuberculosis-diagnostics-per-million-people.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/sites-providing-rapid-tuberculosis-diagnostics-per-million-people.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/sites-providing-rapid-tuberculosis-diagnostics-per-million-people.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear