Literacy rate

Share of adults who can read and write a simple statement about their everyday life.

Unit
%
Last updated
2025-06-11
Next expected update
2026-07-12
Managed by
Veronika Samborska
  • Literacy is a foundational skill. Children need to learn to read so that they can read to learn. When we fail to teach this foundational skill, people have fewer opportunities to lead the rich and interesting lives that a good education offers. This indicator measures the percentage of people aged 15 and older who can read and write a simple sentence about their daily life.

  • Historical data shows that only a very small share of the population, a tiny elite, was able to read and write. Although literacy has increased over the last few generations, it remains an important challenge for our time to provide this foundational skill to all.

  • However, measuring literacy over time is difficult, as definitions of what it means to be “literate” have varied widely across countries and historical periods. As a result, comparisons should be made with caution.

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  • Our team investigated the strengths and shortcomings of the available data on literacy. Based on this work, we've combined historical and contemporary literacy rates from various sources to provide a long-term view of global literacy trends from 1451 to the present. For detailed information on where each data point comes from, you can view and download this Google Sheet.

  • Many developed countries have discontinued literacy tracking as rates approached universal levels by the late 20th century, making measurement less relevant for policy purposes.

  • All of this data measures basic literacy — can you read simple text and write your name? It doesn't capture functional literacy — can you understand a job application or follow written instructions? That requires years more education and is much harder to measure historically.

Data sources

UNESCO – World illiteracy at mid-century

This dataset gives an early global picture of adult literacy, using data mostly collected between 1945 and 1954. UNESCO estimated illiteracy rates for people aged 15 and over. In many cases, the numbers came from recent censuses. Where data were missing or outdated, estimates were made using past trends, school or military records, or general information about each country.

Because the data was not always complete, most illiteracy rates are shown in 5% steps. Even in countries with high literacy, a small number of people—about 1–2%—were assumed to be unable to learn to read or write due to disabilities. The estimates use a simple definition of literacy: being able to read or to read and write.

Retrieved on
June 10, 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.
UNESCO. (1957). World illiteracy at mid-century: A statistical study. United Nations Educational, Scientific and Cultural Organization.

UNESCO – Progress of literacy in various countries

This dataset presents UNESCO’s first global survey of adult illiteracy, based on census and official government data from 26 countries. Countries were included if they had illiteracy data for at least three census years since around 1900. The dataset uses the most recent available figures and shows how literacy levels changed over time in the first half of the 20th century.

The study notes that countries defined and measured literacy in different ways. Some counted people as literate if they could read or write; others required more, like writing a letter or reading a passage. In some places, being able to sign one’s name was enough; in others, it was not. The age at which people were counted also varied—from as young as 5 to as old as 15.

These differences make it hard to compare literacy rates across countries or even across time within a country. People who could only read or only write were classified differently depending on local rules. Other issues, like missing data and unclear definitions, add to the difficulty. Despite these limits, the dataset offers important insights into global literacy patterns during this period.

Retrieved on
June 10, 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.
UNESCO. (1953). Progress of literacy in various countries: a preliminary statistical study of available census data since 1900. United Nations Educational, Scientific and Cultural Organization.

Buringh and van Zanden – Charting the “Rise of the West”: Manuscripts and Printed Books in Europe, A Long-Term Perspective from the Sixth through Eighteenth Centuries

This paper presents estimates of the production of manuscripts and printed books in Western Europe over a span of thirteen centuries. To estimate literacy levels, the authors first calculate book consumption per capita, then convert these figures into literacy rates using two key inputs: historical trends in book prices and an assumed elasticity of demand for books. The book price data are sourced from the work of Jan Luiten van Zanden and Gregory Clark, while the elasticity of demand—reflecting how book consumption responds to price changes—is set at 1.4, based on contemporary economic literature. This method assumes that lower book prices made books more accessible, which in turn helped to increase literacy rates.

Retrieved on
June 9, 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.
Buringh, E., & van Zanden, J. L. (2009). Charting the “Rise of the West”: Manuscripts and printed books in Europe, a long‐term perspective from the sixth through the eighteenth centuries. The Journal of Economic History, 69(2), 409–445. https://doi.org/10.1017/S0022050709000837

van Zanden, J. et al. – How Was Life? Global Well-being since 1820 - Education

The data comes from the How Was Life? Global Well-being Since 1820 report by the OECD. It notes that the concept of literacy has changed over time, which affects how it is measured. In earlier periods, literacy was broadly understood as being “educated” or “learned.” However, by the late 19th century, the definition narrowed to mean the ability to read and write simple texts. This shift in meaning was driven by the spread of mass education, which emphasized basic reading and writing skills for large populations. As a result, historical estimates of literacy are based on differing definitions over time, making it important to interpret the data within its historical context.

Retrieved on
August 14, 2023
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data.
van Zanden, J., et al. (eds.) (2014), How Was Life?: Global Well-being since 1820, Education, OECD Publishing, Paris. Available at https://www.oecd-ilibrary.org/economics/how-was-life/education-since-1820_9789264214262-9-en. Accessed on 14th August 2023.

UNESCO Institute for Statistics – UNESCO Institute for Statistics (UIS) - Education

The UNESCO Institute for Statistics (UIS) is the official and trusted source of internationally-comparable data on education, science, culture and communication. As the official statistical agency of UNESCO, the UIS produces a wide range of state-of-the-art databases to fuel the policies and investments needed to transform lives and propel the world towards its development goals. The UIS provides free access to data for all UNESCO countries and regional groupings from 1970 to the most recent year available.

Retrieved on
May 1, 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.
UNESCO Institute for Statistics (UIS), Education, https://uis.unesco.org/bdds, 2025

Citations

How should I cite this data in a news article?

If you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

UNESCO (1957) and other sources – with major processing by Our World in Data

How should I cite this in an academic article or report?

UNESCO (1957); UNESCO (1953); Buringh and van Zanden (2009); van Zanden, J. et al.; UNESCO Institute for Statistics (2025) – with major processing by Our World in Data. “Literacy rate” [dataset]. UNESCO, “World illiteracy at mid-century”; UNESCO, “Progress of literacy in various countries”; Buringh and van Zanden, “Charting the “Rise of the West”: Manuscripts and Printed Books in Europe, A Long-Term Perspective from the Sixth through Eighteenth Centuries”; van Zanden, J. et al., “How Was Life? Global Well-being since 1820 - Education 2014”; UNESCO Institute for Statistics, “UNESCO Institute for Statistics (UIS) - Education” [original data]. Retrieved June 12, 2026 from https://datapage-v2.owid.pages.dev/grapher/cross-country-literacy-rates

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. 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.

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://datapage-v2.owid.pages.dev/grapher/cross-country-literacy-rates.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://datapage-v2.owid.pages.dev/grapher/cross-country-literacy-rates.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://datapage-v2.owid.pages.dev/grapher/cross-country-literacy-rates.csv?v=1&csvType=full&useColumnShortNames=false")
Python with Pandas
import pandas as pd
import requests

# Fetch the data.
df = pd.read_csv("https://datapage-v2.owid.pages.dev/grapher/cross-country-literacy-rates.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://datapage-v2.owid.pages.dev/grapher/cross-country-literacy-rates.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://datapage-v2.owid.pages.dev/grapher/cross-country-literacy-rates.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://datapage-v2.owid.pages.dev/grapher/cross-country-literacy-rates.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://datapage-v2.owid.pages.dev/grapher/cross-country-literacy-rates.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear