Our World
in Data
Oxford Martin School logoUniversity of Oxford logoGlobal Change Data Lab logo
Data

Gender Development Index groups

UNDP

What you should know about this indicator

  • The GDI groups are based on the absolute deviation of GDI from gender parity, 100 × |GDI - 1|.
    • Group 1: Countries with absolute deviation from gender parity of 2.5 percent or less are considered countries with high equality in HDI achievements between women and men.
    • Group 2: Countries with absolute deviation from gender parity of 2.5-5 percent are considered countries with medium-high equality in HDI achievements between women and men.
    • Group 3: Countries with absolute deviation from gender parity of 5-7.5 percent are considered countries with medium equality in HDI achievements between women and men.
    • Group 4: Countries with absolute deviation from gender parity of 7.5-10 percent are considered countries with medium-low equality in HDI achievements between women and men.
    • Group 5: Countries with absolute deviation from gender parity of more than 10 percent are considered countries with low equality in HDI achievements between women and men.
  • Group distributions shift slowly over time, providing a coarse progress tracker towards gender parity in HDI.
  • Data is originally sourced from the underlying GDI calculations described above.
Gender Development Index groups
UNDP
A categorical indicator that groups countries into five tiers according to how far their Gender Development Index (GDI) deviates from perfect gender parity, facilitating cross-country comparison of gender gaps in human development.
Source
UNDP, Human Development Report (2025) – with minor processing by Our World in Data
Last updated
May 7, 2025
Next expected update
May 2026
Date range
2023–2023

Sources and processing

This data is based on the following sources

UNDP, Human Development Report – Human Development Report

Artificial intelligence (AI) has broken into a dizzying gallop. While AI feats grab headlines, they privilege technology in a make-believe vacuum, obscuring what really matters: people's choices.

The choices that people have and can realize, within ever expanding freedoms, are essential to human development, whose goal is for people to live lives they value and have reason to value. A world with AI is flush with choices the exercise of which is both a matter of human development and a means to advance it.

Going forward, development depends less on what AI can do—not on how human-like it is perceived to be—and more on mobilizing people's imaginations to reshape economies and societies to make the most of it. Instead of trying vainly to predict what will happen, the 2025's Human Development Report asks what choices can be made so that new development pathways for all countries dot the horizon, helping everyone have a shot at thriving in a world with AI.

For more details, refer to https://hdr.undp.org/data-center/documentation-and-downloads

Retrieved on
May 7, 2025
Retrieved from
https://hdr.undp.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.
UNDP (United Nations Development Programme). 2025. Human Development Report 2025: A matter of choice: People and possibilities in the age of AI. New York.

Artificial intelligence (AI) has broken into a dizzying gallop. While AI feats grab headlines, they privilege technology in a make-believe vacuum, obscuring what really matters: people's choices.

The choices that people have and can realize, within ever expanding freedoms, are essential to human development, whose goal is for people to live lives they value and have reason to value. A world with AI is flush with choices the exercise of which is both a matter of human development and a means to advance it.

Going forward, development depends less on what AI can do—not on how human-like it is perceived to be—and more on mobilizing people's imaginations to reshape economies and societies to make the most of it. Instead of trying vainly to predict what will happen, the 2025's Human Development Report asks what choices can be made so that new development pathways for all countries dot the horizon, helping everyone have a shot at thriving in a world with AI.

For more details, refer to https://hdr.undp.org/data-center/documentation-and-downloads

Retrieved on
May 7, 2025
Retrieved from
https://hdr.undp.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.
UNDP (United Nations Development Programme). 2025. Human Development Report 2025: A matter of choice: People and possibilities in the age of AI. New York.

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: Gender Development Index groups”. Our World in Data (2026). Data adapted from UNDP, Human Development Report. Retrieved from https://archive.ourworldindata.org/20260304-094028/grapher/gender-development-index-groups.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:

UNDP, Human Development Report (2025) – with minor processing by Our World in Data

Full citation

UNDP, Human Development Report (2025) – with minor processing by Our World in Data. “Gender Development Index groups – UNDP” [dataset]. UNDP, Human Development Report, “Human Development Report” [original data]. Retrieved April 1, 2026 from https://archive.ourworldindata.org/20260304-094028/grapher/gender-development-index-groups.html (archived on March 4, 2026).

Download

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.

Download full data

Includes all entities and time points

Download displayed data

Includes only the entities and time points currently visible in the chart

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

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

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