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Data

Gavi supported countries

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Vaccination

About this data

Gavi supported countries
Whether a country is eligible for Gavi support.
Source
Global Alliance for Vaccines and Immunizations (2024) – processed by Our World in Data
Last updated
February 11, 2025
Next expected update
April 2026
Date range
2024–2024

Sources and processing

This data is based on the following sources

Global Alliance for Vaccines and Immunizations – Gavi Eligibility

Eligibility for Gavi support is determined by countries' national income. Gavi aims to focus its support on the world's poorest countries and therefore bases eligibility on national income. In 2024, countries become eligible for Gavi support if their most recent gross national income (GNI) per capita was less than or equal to US$ 1,810 (according to the latest World Bank data published in July each year). Since 1 January 2011, the eligibility threshold is adjusted for inflation on an annual basis.

Retrieved on
February 11, 2025
Retrieved from
https://www.gavi.org/types-support/sustainability/eligibility
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.
Gavi eligibility (2024). Global Alliance for Vaccines and Immunizations.

Eligibility for Gavi support is determined by countries' national income. Gavi aims to focus its support on the world's poorest countries and therefore bases eligibility on national income. In 2024, countries become eligible for Gavi support if their most recent gross national income (GNI) per capita was less than or equal to US$ 1,810 (according to the latest World Bank data published in July each year). Since 1 January 2011, the eligibility threshold is adjusted for inflation on an annual basis.

Retrieved on
February 11, 2025
Retrieved from
https://www.gavi.org/types-support/sustainability/eligibility
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.
Gavi eligibility (2024). Global Alliance for Vaccines and Immunizations.

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: Gavi supported countries”, part of the following publication: Fiona Spooner, Saloni Dattani, Samantha Vanderslott, and Max Roser (2022) - “Vaccination”. Data adapted from Global Alliance for Vaccines and Immunizations. Retrieved from https://archive.ourworldindata.org/20260325-171315/grapher/gavi-supported-countries.html [online resource] (archived on March 25, 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:

Global Alliance for Vaccines and Immunizations (2024) – processed by Our World in Data

Full citation

Global Alliance for Vaccines and Immunizations (2024) – processed by Our World in Data. “Gavi supported countries” [dataset]. Global Alliance for Vaccines and Immunizations, “Gavi Eligibility” [original data]. Retrieved March 31, 2026 from https://archive.ourworldindata.org/20260325-171315/grapher/gavi-supported-countries.html (archived on March 25, 2026).

Download

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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.

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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/gavi-supported-countries.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/gavi-supported-countries.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/gavi-supported-countries.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/gavi-supported-countries.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/gavi-supported-countries.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/gavi-supported-countries.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/gavi-supported-countries.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/gavi-supported-countries.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear