Data

Share of newborns vaccinated against tuberculosis

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What you should know about this indicator

  • The WHO recommends BCG vaccination at birth for all newborns in countries or settings with a high incidence of TB and/or high leprosy burden. Countries with low TB incidence or leprosy burden may choose to selectively vaccinate newborns in high-risk groups.
  • This chart shows official estimates of national immunization coverage published by the WHO and UNICEF. The estimates include all WHO member states, even those that did not report 2023 data. For non-reporting countries, WHO uses statistical methods to extrapolate from previously reported data, ensuring global coverage can be assessed.
  • Global and regional vaccination coverage is calculated using population-weighted averages. In 2023, approximately 5% of countries did not report data, requiring extrapolation from their 2022 data to maintain complete global estimates.
  • These estimates combine several sources: official administrative data from health facilities, coverage surveys that meet WHO quality standards, and other relevant information like vaccine supply issues or schedule changes. The accuracy of these estimates depends on how complete and reliable each country’s reporting systems are.
Share of newborns vaccinated against tuberculosis
Share of newborns who have had one dose of the in a given year.
Source
WHO & UNICEF (2025); UN, World Population Prospects (2024)processed by Our World in Data
Last updated
July 15, 2025
Next expected update
July 2026
Date range
1980–2024
Unit
%

Sources and processing

WHO & UNICEF – WHO Immunization Data - Vaccination coverage

These estimates are based on quantitative data:

  1. Country-reported coverage data (official and administrative coverage)
  2. Survey coverage (from survey final reports, and complying with minimum set of quality criteria), and are informed by contextual information (e.g., stock-outs, changes in schedule, and other relevant information where available and appropriate).

As such, these estimates are affected by the availability and quality of the underlying empirical data.

Retrieved on
July 15, 2025
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.
WHO/UNICEF Estimates of National Immunization Coverage (WUENIC), 2023 Revision (completed 15 July 2025), data from 1980-2024.

These estimates are based on quantitative data:

  1. Country-reported coverage data (official and administrative coverage)
  2. Survey coverage (from survey final reports, and complying with minimum set of quality criteria), and are informed by contextual information (e.g., stock-outs, changes in schedule, and other relevant information where available and appropriate).

As such, these estimates are affected by the availability and quality of the underlying empirical data.

Retrieved on
July 15, 2025
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.
WHO/UNICEF Estimates of National Immunization Coverage (WUENIC), 2023 Revision (completed 15 July 2025), data from 1980-2024.

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
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
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.

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

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: Share of newborns vaccinated against tuberculosis”, part of the following publication: Fiona Spooner, Saloni Dattani, Samantha Vanderslott, and Max Roser (2022) - “Vaccination”. Data adapted from WHO & UNICEF, United Nations. Retrieved from https://archive.ourworldindata.org/20260304-094028/grapher/bcg-immunization-coverage-for-tb-among-1-year-olds.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 & UNICEF (2025); UN, World Population Prospects (2024) – processed by Our World in Data

Full citation

WHO & UNICEF (2025); UN, World Population Prospects (2024) – processed by Our World in Data. “Share of newborns vaccinated against tuberculosis” [dataset]. WHO & UNICEF, “WHO Immunization Data - Vaccination coverage”; United Nations, “World Population Prospects” [original data]. Retrieved March 31, 2026 from https://archive.ourworldindata.org/20260304-094028/grapher/bcg-immunization-coverage-for-tb-among-1-year-olds.html (archived on March 4, 2026).

Quick download

Download the data shown in this chart as a ZIP file containing a CSV file, metadata in JSON format, and a README. The CSV file can be opened in Excel, Google Sheets, and other data analysis tools.

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/bcg-immunization-coverage-for-tb-among-1-year-olds.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/bcg-immunization-coverage-for-tb-among-1-year-olds.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/bcg-immunization-coverage-for-tb-among-1-year-olds.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/bcg-immunization-coverage-for-tb-among-1-year-olds.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/bcg-immunization-coverage-for-tb-among-1-year-olds.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/bcg-immunization-coverage-for-tb-among-1-year-olds.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/bcg-immunization-coverage-for-tb-among-1-year-olds.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/bcg-immunization-coverage-for-tb-among-1-year-olds.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear