28 datasets found
  1. Global literacy rate1976-2023

    • statista.com
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    Statista, Global literacy rate1976-2023 [Dataset]. https://www.statista.com/statistics/997360/global-adult-and-youth-literacy/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In the past five decades, the global literacy rate among adults has grown from 67 percent in 1976 to 87.36 percent in 2023. In 1976, males had a literacy rate of 76 percent, compared to a rate of 58 percent among females. This difference of over 17 percent in 1976 has fallen to just seven percent in 2020. Although gaps in literacy rates have fallen across all regions in recent decades, significant disparities remain across much of South Asia and Africa, while the difference is below one percent in Europe and the Americas. Reasons for these differences are rooted in economic and cultural differences across the globe. In poorer societies, families with limited means are often more likely to invest in their sons' education, while their daughters take up a more domestic role. Varieties do exist on national levels, however, and female literacy levels can sometimes exceed the male rate even in impoverished nations, such as Lesotho (where the difference was over 17 percent in 2014); nonetheless, these are exceptions to the norm.

  2. T

    United States - Literacy Rate, Adult Total for Other Small States

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 25, 2020
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    TRADING ECONOMICS (2020). United States - Literacy Rate, Adult Total for Other Small States [Dataset]. https://tradingeconomics.com/united-states/literacy-rate-adult-total-for-other-small-states-fed-data.html
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Feb 25, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Literacy Rate, Adult Total for Other Small States was 86.25975 % of People Ages 15 and Above in January of 2023, according to the United States Federal Reserve. Historically, United States - Literacy Rate, Adult Total for Other Small States reached a record high of 86.25975 in January of 2023 and a record low of 71.82288 in January of 1983. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Literacy Rate, Adult Total for Other Small States - last updated from the United States Federal Reserve on November of 2025.

  3. Global adult literacy rate 2015-2024, by gender

    • statista.com
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    Statista, Global adult literacy rate 2015-2024, by gender [Dataset]. https://www.statista.com/statistics/1220131/global-adult-literacy-rate-by-gender/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    There is a gender gap in the global literacy rate. Although literacy rates have generally increased worldwide for both men and women, men are on average more literate than women. As of 2024, about 90.91 percent of men and a little less than 88.8 percent of women worldwide were literate. Adult literacy rate is defined as the percentage of people aged 15 years and above who can both read and write with understanding a short, simple statement about their everyday life. Youth literacy rate Not only does the literacy gender gap concern adults, it also exists among the world’s younger generations aged 15 to 24. Despite an overall increase in literacy, young men are still more literate than young women. In fact, the global youth literacy rate as gender parity index was 0.98 as of 2023, indicating that young women are not yet as literate as young men. Gender pay gap Gender gaps occur in many different spheres of global society. One such issue concerns salary gender gaps in professional life. Regarding the controlled gender pay gap, which measures the median salary for men and women with the same job and qualifications, women still earned less than men as of 2024. The difference was even bigger when measuring the median salary for all men and women. However, not everyone worries about gender pay gaps. According to a survey from 2021, 54 percent of the female respondents deemed the gender pay gap a real problem, compared to 45 percent of the male respondents.

  4. US State Literacy and Population Estimates in 2017

    • kaggle.com
    zip
    Updated Aug 23, 2023
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    SQLRockstar (2023). US State Literacy and Population Estimates in 2017 [Dataset]. https://www.kaggle.com/datasets/sqlrockstar/us-state-literacy-and-population-estimates-in-2017
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    zip(947 bytes)Available download formats
    Dataset updated
    Aug 23, 2023
    Authors
    SQLRockstar
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    United States
    Description

    A simple dataset for states in the USA, including Washington DC, showing the average literacy rates along with population estimates for 2017. The national average for literacy is 264.

    The USAFacts dataset contains the average literacy scores for the years 2012-2017, therefore I decided to use the estimate for the 2017 population from the Census data. I believe this is a decent snapshot in time for comparing literacy to population, looking for any correlations.

    Original Sources 1. USAFacts How does literacy vary by state and county? 2. US Census Bureau: State Population Totals and Components of Change: 2010-2019

  5. M

    U.S. Literacy Rate | Historical Data | Chart | N/A-N/A

    • macrotrends.net
    csv
    Updated Oct 31, 2025
    + more versions
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    MACROTRENDS (2025). U.S. Literacy Rate | Historical Data | Chart | N/A-N/A [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/usa/united-states/literacy-rate
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    csvAvailable download formats
    Dataset updated
    Oct 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Historical dataset showing U.S. literacy rate by year from N/A to N/A.

  6. U

    USA Literacy rate - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 25, 2018
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    Globalen LLC (2018). USA Literacy rate - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/USA/Literacy_rate/
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    excel, xml, csvAvailable download formats
    Dataset updated
    Feb 25, 2018
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    The USA: Literacy rate: The latest value from is percent, unavailable from percent in . In comparison, the world average is 0.00 percent, based on data from countries. Historically, the average for the USA from to is percent. The minimum value, percent, was reached in while the maximum of percent was recorded in .

  7. Illiteracy rates by world region 2024

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Illiteracy rates by world region 2024 [Dataset]. https://www.statista.com/statistics/262886/illiteracy-rates-by-world-regions/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    World
    Description

    In 2024, the illiteracy rate among adults aged 15 years and older was almost 32 percent in Sub-Saharan Africa. In South Asia, the illiteracy rate was 21.77 percent. The adult illiteracy rate is defined as the percentage of the population aged 15 and older who cannot read or write. Even though illiteracy continues to persist around the world, illiteracy levels have been reduced significantly over the past decades.

  8. g

    LITERACY RATE

    • global-relocate.com
    Updated Jul 12, 2024
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    Global Relocate (2024). LITERACY RATE [Dataset]. https://global-relocate.com/rankings/literacy-rate
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    Dataset updated
    Jul 12, 2024
    Dataset provided by
    Global Relocate
    Description

    The ranking shows the percentage of literate population in each country among citizens over the age of 15. A person is considered literate if they have mastered written language, meaning they can read and write.

  9. M

    Virgin Islands (U.S.) Literacy Rate | Historical Data | Chart | N/A-N/A

    • macrotrends.net
    csv
    Updated Oct 31, 2025
    + more versions
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    MACROTRENDS (2025). Virgin Islands (U.S.) Literacy Rate | Historical Data | Chart | N/A-N/A [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/vir/virgin-islands-u-s/literacy-rate
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    csvAvailable download formats
    Dataset updated
    Oct 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    U.S. Virgin Islands
    Description

    Historical dataset showing Virgin Islands (U.S.) literacy rate by year from N/A to N/A.

  10. Adult literacy in China 1982-2020

    • statista.com
    Updated May 15, 2024
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    Statista (2024). Adult literacy in China 1982-2020 [Dataset]. https://www.statista.com/statistics/271336/literacy-in-china/
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    Dataset updated
    May 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    The statistic shows the degree of adult literacy in China from 1982 to 2020. In 2020, the literacy rate, which is defined as people aged 15 and above who can read and write, had reached about 97.15 percent in China.

    Global literacy rates

    By 2020, around 86.8 percent of the world population aged 15 years and above had been able to read and write. While in developed regions this figure ranged a lot higher, only around 67 percent of the population in Sub-Saharan Africa was literate. Countries with the lowest literacy rates are also the most underdeveloped worldwide. According to UNESCO, literacy is a human right, especially in a fast-changing and technology-driven world. In China, the literacy rate has developed from 79 percent in 1982 to 97 percent in 2020, indicating that almost one million people per year had become literate over three decades. In India, the situation was entirely different. The second most populous country in the world displayed a literacy rate of merely 76 percent in 2022.

    Literacy in China

    The dramatic increase in literacy in China has a lot to do with the efficacy of numerous political, economic and educational policies. In 1982, compulsory education was written into the Chinese constitution, postulating a nine-year compulsory education funded by the government. As is shown by the graph above, there was a large gender gap in literacy rate in China as of 1982. Though this gap still existed in 2020, it was narrowed down to three percent, starting from 28 percent in 1982. Since 1990, the national education policy was directed at females, especially from poor and/or minority families. Over the past years, China has achieved gender parity in primary schooling.

    However, regional literacy disparities in China should not to be overlooked. Regions with a strong economic background tend to display illiteracy rates below national average. In contrast, economically underdeveloped regions have a much larger share of people who cannot read nor write. Tibet for instance, a region where 92 percent of the population belong to an ethnic minority, showed the highest illiterate rate nationwide, with around 34 percent in 2022.

  11. Global youth literacy rate 2000-2024, by gender

    • statista.com
    Updated Oct 13, 2025
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    Statista (2025). Global youth literacy rate 2000-2024, by gender [Dataset]. https://www.statista.com/statistics/1220147/global-youth-literacy-rate-by-gender/
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    Dataset updated
    Oct 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    There is a gender gap in the literacy rate among the youth worldwide. Although the literacy rates have increased worldwide for both young men and women between 15 and 24 years, men are on average more literate than women. As of 2024, over 94 percent of young men and roughly 92 percent of women in the world were literate. A similar picture was seen for the adult population worldwide.

  12. Education Rate District Wise

    • kaggle.com
    zip
    Updated Jan 10, 2025
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    Faisal (2025). Education Rate District Wise [Dataset]. https://www.kaggle.com/datasets/likhari/education-rate-district-wise
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    zip(10945 bytes)Available download formats
    Dataset updated
    Jan 10, 2025
    Authors
    Faisal
    Description

    This dataset includes Population and OVERALL LITERACY rate data about the US district wise and state wise.

  13. U.S. adults understanding of digital topics 2023, by age

    • statista.com
    Updated Aug 17, 2023
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    Statista (2023). U.S. adults understanding of digital topics 2023, by age [Dataset]. https://www.statista.com/statistics/1465239/us-adults-digital-literacy-by-age/
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    Dataset updated
    Aug 17, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2023
    Area covered
    United States
    Description

    A survey conducted in the United States in August 2023 found that digital literacy among U.S. adults varied depending on the age group. Younger generations, aged 18 to 29, showed a much higher awareness of digital topics, such as online privacy, and an understanding of generative AI. However, there was a notable gap between them and individuals 65 and older. For example, only 26 percent of respondents older than 65 years could identify an example of two-factor authentication, compared to 68 percent of younger respondents.

  14. Health & Education of Top Countries

    • kaggle.com
    zip
    Updated May 6, 2023
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    PSI (2023). Health & Education of Top Countries [Dataset]. https://www.kaggle.com/datasets/vinayak121/health-and-education-of-top-countries/code
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    zip(2376826 bytes)Available download formats
    Dataset updated
    May 6, 2023
    Authors
    PSI
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset provides a comparative analysis of education and health indicators across top countries, including Poland, Finland, Italy, and the USA etc... The data covers a range of indicators related to education, such as literacy rates, enrollment rates, and education spending, as well as health indicators such as life expectancy, infant mortality rates, and healthcare spending. The data is sourced from various official and publicly available data sources, including the World Bank, the United Nations, and country-specific government websites. Researchers, analysts, and educators can use this dataset to gain insights into the education and health outcomes of different countries, as well as to identify areas for improvement and best practices. The dataset is ideal for cross-country comparative analysis and can be used to inform policy-making, research, and educational programs.

  15. PIAAC County Indicators of Adult Literacy and Numeracy

    • data-nces.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jul 20, 2020
    + more versions
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    National Center for Education Statistics (2020). PIAAC County Indicators of Adult Literacy and Numeracy [Dataset]. https://data-nces.opendata.arcgis.com/datasets/piaac-county-indicators-of-adult-literacy-and-numeracy
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    Dataset updated
    Jul 20, 2020
    Dataset authored and provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    License

    https://resources.data.gov/open-licenses/https://resources.data.gov/open-licenses/

    Area covered
    Description

    The National Center for Education Statistics surveyed 12,330 U.S. adults ages 16 to 74 living in households from 2012 to 2017 for the Program for the International Assessment of Adult Competencies (PIAAC), an international study involving over 35 countries. Using small area estimation models (SAE), indirect estimates of literacy and numeracy proficiency have been produced for all U.S. states and counties. By using PIAAC survey data in conjunction with data from the American Community Survey, the Skills Map data provides reliable estimates of adult literacy and numeracy skills in all 50 states, all 3,141 counties, and the District of Columbia.

    SAE is a model-dependent approach that produces indirect estimates for areas where survey data is inadequate for direct estimation. SAE models assume that counties with similar demographics would have similar estimates of skills. An estimate for a county then “borrows strength” across related small areas through auxiliary information to produce reliable indirect estimates for small areas. The models rely on covariates available at the small areas, and PIAAC survey data. In the absence of any other proficiency assessment data for individual states and counties, the estimates provide a general picture of proficiency for all states and counties. In addition to the indirect estimates, this website provides precision estimates and facilitates statistical comparisons among states and counties. For technical details on the SAE approach applied to PIAAC, see section 5 of the State and County Estimation Methodology Report.

    The U.S. county indirect estimates reported in this data are not directly comparable with the direct estimates for PIAAC countries that are reported by the Organization for Economic Cooperation and Development (OECD). Specifically, the U.S. county indirect estimates (1) represent modeled estimates for adults ages 16-74 whereas the OECD’s direct estimates for participating countries represent estimates for adults ages 16-65, (2) include data for “literacy-related nonresponse” (i.e., adults whose English language skills were too low to participate in the study) whereas the OECD’s direct estimates for countries exclude these data, and (3) are based on three combined data collections (2012/2014/2017) whereas OECD’s direct estimates are based on a single data collection.Please visit the Skills Map to learn more about this data.All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

  16. p

    Literacy programs Business Data for United States

    • poidata.io
    csv, json
    Updated Nov 30, 2025
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    Business Data Provider (2025). Literacy programs Business Data for United States [Dataset]. https://www.poidata.io/report/literacy-program/united-states
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    csv, jsonAvailable download formats
    Dataset updated
    Nov 30, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    United States
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 956 verified Literacy program businesses in United States with complete contact information, ratings, reviews, and location data.

  17. p

    Literacy programs Business Data for California, United States

    • poidata.io
    csv, json
    Updated Nov 30, 2025
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    Business Data Provider (2025). Literacy programs Business Data for California, United States [Dataset]. https://www.poidata.io/report/literacy-program/united-states/california
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Nov 30, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    California
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 77 verified Literacy program businesses in California, United States with complete contact information, ratings, reviews, and location data.

  18. p

    Literacy programs Business Data for Hawaii, United States

    • poidata.io
    csv, json
    Updated Oct 23, 2025
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    Business Data Provider (2025). Literacy programs Business Data for Hawaii, United States [Dataset]. https://www.poidata.io/report/literacy-program/united-states/hawaii
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Oct 23, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Hawaii
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 7 verified Literacy program businesses in Hawaii, United States with complete contact information, ratings, reviews, and location data.

  19. 🌍 Country Comparison Dataset (USA & More) 🌍

    • kaggle.com
    Updated Sep 10, 2024
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    Waqar Ali (2024). 🌍 Country Comparison Dataset (USA & More) 🌍 [Dataset]. https://www.kaggle.com/datasets/waqi786/country-comparison-dataset-usa-and-more
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 10, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Waqar Ali
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    United States
    Description

    This dataset offers a detailed comparison of key global players like USA, Russia, China, India, Canada, Australia, and others across various economic, social, and environmental metrics. By comparing countries on indicators such as GDP, population, healthcare access, education levels, internet penetration, military spending, and much more, this dataset provides valuable insights for researchers, policymakers, and analysts.

    🔍 Key Comparisons:

    Economic Indicators: GDP, inflation rates, unemployment rates, etc. Social Indicators: Literacy rates, healthcare quality, life expectancy, etc. Environmental Indicators: CO2 emissions, renewable energy usage, protected areas, etc. Technological Advancements: Internet users, mobile subscriptions, tech exports, etc. Military Spending: Defense budgets, military personnel numbers, etc. This dataset is perfect for those who want to compare countries in terms of development, growth, and global standing. It can be used for data analysis, policy planning, research, and even education.

    ✨ Key Features:

    Comprehensive Coverage: Includes multiple countries with key metrics. Multiple Domains: Economic, social, environmental, technological, and military data. Up-to-date Information: Covers data from the last decade to provide recent insights. Research Ready: Suitable for academic research, visualizations, and analysis.

  20. National Reporting System for Adult Education, US Dept. of Education

    • datalumos.org
    Updated Feb 9, 2025
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    US Department of Education (2025). National Reporting System for Adult Education, US Dept. of Education [Dataset]. http://doi.org/10.3886/E218801V1
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    Dataset updated
    Feb 9, 2025
    Dataset provided by
    United States Department of Educationhttps://ed.gov/
    Authors
    US Department of Education
    License

    https://creativecommons.org/share-your-work/public-domain/pdmhttps://creativecommons.org/share-your-work/public-domain/pdm

    Time period covered
    Jul 1, 2000 - Jun 30, 2023
    Area covered
    United States and territories
    Description

    The National Reporting System for Adult Education (NRS) is administered by the Division of Adult Education and Literacy in the Office of Career, Technical, and Adult Education at the U.S. Department of Education. Aggregated data, data from individual US states and territories, and narrative reports, all covering program years 2000-2022, were downloaded from https://nrs.ed.gov/ between 2025-02-06 and 2025-02-09. Aggregated reports were uploaded to Data Lumos as both regular files and a zipped folder; state data tables were only uploaded as a zipped folder, due to the high number of individual files. Total, there are 11,206 files and 628 folders in the entire dataset, due to the way it was structured on the original website.

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Statista, Global literacy rate1976-2023 [Dataset]. https://www.statista.com/statistics/997360/global-adult-and-youth-literacy/
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Global literacy rate1976-2023

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6 scholarly articles cite this dataset (View in Google Scholar)
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

In the past five decades, the global literacy rate among adults has grown from 67 percent in 1976 to 87.36 percent in 2023. In 1976, males had a literacy rate of 76 percent, compared to a rate of 58 percent among females. This difference of over 17 percent in 1976 has fallen to just seven percent in 2020. Although gaps in literacy rates have fallen across all regions in recent decades, significant disparities remain across much of South Asia and Africa, while the difference is below one percent in Europe and the Americas. Reasons for these differences are rooted in economic and cultural differences across the globe. In poorer societies, families with limited means are often more likely to invest in their sons' education, while their daughters take up a more domestic role. Varieties do exist on national levels, however, and female literacy levels can sometimes exceed the male rate even in impoverished nations, such as Lesotho (where the difference was over 17 percent in 2014); nonetheless, these are exceptions to the norm.

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