Augmented Human Development Index

What you should know about this indicator
- Each of the dimensions of the AHDI is measured with four indicators: a long and healthy life is measured by life expectancy at birth, knowledge is measured by mean years of schooling; a decent standard of living is measured by GDP per capita, logarithmized to reflect that incomes become less important as they increase; and civil and political freedom is measured by Varieties of Democracy's Liberal democracy index.
- The index is then calculated by normalizing the indicators. First, the indicators are brought onto the same scale, ranging from 0 to 1. This is done by setting minimum and maximum values for each indicator, and a country at or below the minimum value receiving a score of 0, and a country at or above the maximum value receiving a score of 1.
- The minimum and maximum values for each indicator are defined as follows: Life expectancy at birth ranges between 20 and 85 years; mean years of schooling, between 0 and 15 years; GDP per capita between 100 and 47,000 international-$ at 1990 prices; and V-Dem's Liberal democracy index is already standardized between 0 and 1 (most democratic).
- The AHDI is then estimated as the geometric mean of these indices, or AHDI = (Health index * Education index * Income index * Freedom index)^(1/4).
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Sources and processing
This data is based on the following sources
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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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: Augmented Human Development Index”. Our World in Data (2026). Data adapted from Leandro Prados de la Escosura. Retrieved from https://archive.ourworldindata.org/20260325-171315/grapher/augmented-human-development-index.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:
Leandro Prados de la Escosura (2021) – with minor processing by Our World in DataFull citation
Leandro Prados de la Escosura (2021) – with minor processing by Our World in Data. “Augmented Human Development Index” [dataset]. Leandro Prados de la Escosura, “Augmented Human Development Index (AHDI) - Country data”; Leandro Prados de la Escosura, “Augmented Human Development Index (AHDI) - Regional data” [original data]. Retrieved April 1, 2026 from https://archive.ourworldindata.org/20260325-171315/grapher/augmented-human-development-index.html (archived on March 25, 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.
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/augmented-human-development-index.csv?v=1&csvType=full&useColumnShortNames=falseMetadata URL (JSON format)
https://ourworldindata.org/grapher/augmented-human-development-index.metadata.json?v=1&csvType=full&useColumnShortNames=falseExcel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/augmented-human-development-index.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/augmented-human-development-index.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/augmented-human-development-index.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()R
library(jsonlite)
# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/augmented-human-development-index.csv?v=1&csvType=full&useColumnShortNames=false")
# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/augmented-human-development-index.metadata.json?v=1&csvType=full&useColumnShortNames=false")Stata
import delimited "https://ourworldindata.org/grapher/augmented-human-development-index.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear

