https://data-nces.opendata.arcgis.com/datasets/21799e31394e48b4a0e1a994957a44ce_0/license.jsonhttps://data-nces.opendata.arcgis.com/datasets/21799e31394e48b4a0e1a994957a44ce_0/license.json
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.
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Colombia CO: Literacy Rate: Adult Female: % of Females Aged 15 and Above data was reported at 96.000 % in 2020. This records an increase from the previous number of 95.000 % for 2019. Colombia CO: Literacy Rate: Adult Female: % of Females Aged 15 and Above data is updated yearly, averaging 93.000 % from Dec 1993 (Median) to 2020, with 16 observations. The data reached an all-time high of 96.000 % in 2020 and a record low of 91.000 % in 1996. Colombia CO: Literacy Rate: Adult Female: % of Females Aged 15 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Colombia – Table CO.World Bank.WDI: Social: Education Statistics. Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;Weighted average;
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Yearly, literacy rate of population aged 15 and older (percentage) for males aged 15 and older (percentage), for females aged 15 and older (percentage)
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Colombia CO: Literacy Rate: Adult Male: % of Males Aged 15 and Above data was reported at 95.000 % in 2020. This stayed constant from the previous number of 95.000 % for 2019. Colombia CO: Literacy Rate: Adult Male: % of Males Aged 15 and Above data is updated yearly, averaging 93.000 % from Dec 1993 (Median) to 2020, with 16 observations. The data reached an all-time high of 95.000 % in 2020 and a record low of 91.000 % in 1996. Colombia CO: Literacy Rate: Adult Male: % of Males Aged 15 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Colombia – Table CO.World Bank.WDI: Social: Education Statistics. Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;Weighted average;
This data includes literacy rates based on participation numbers for the Maricopa County Library District Summer Reading Program, Tempe Public Library program attendance, Tempe Public Library material circulation, and number of active Tempe Public Library cardholders.The performance measure dashboard is available at 3.33 Culture of Literacy. Additional Information Source: Polaris, Maricopa County Library District, staffContact: Jessica JupitusContact E-Mail: jessica_jupitus@tempe.govData Source Type: ExcelPreparation Method: Department-generated reports from Polaris for materials use per capita and number of active cardholders; reports from the Maricopa County Library District for Summer Reading participations; staff counts of program attendance.Publish Frequency: AnnuallyPublish Method: ManualData Dictionary
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Colombia CO: Literacy Rate: Youth: % of People Age 15-24 data was reported at 98.910 % in 2022. This records a decrease from the previous number of 99.110 % for 2021. Colombia CO: Literacy Rate: Youth: % of People Age 15-24 data is updated yearly, averaging 98.220 % from Dec 1993 (Median) to 2022, with 23 observations. The data reached an all-time high of 99.110 % in 2021 and a record low of 95.000 % in 1993. Colombia CO: Literacy Rate: Youth: % of People Age 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Colombia – Table CO.World Bank.WDI: Social: Education Statistics. Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;Weighted average;
Financial overview and grant giving statistics of Delaware County Literacy Council
Financial overview and grant giving statistics of Lincoln County Adult Literacy
Financial overview and grant giving statistics of Brown County Literacy Coalition
Financial overview and grant giving statistics of Upshur County Literacy Program
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This dataset tracks annual reading and language arts proficiency from 2010 to 2022 for Shasta County Independent Study vs. California and Shasta County Office Of Education School District
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Historical Dataset of Shasta County Independent Study is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2011-2023),Total Classroom Teachers Trends Over Years (2013-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2013-2023),American Indian Student Percentage Comparison Over Years (2011-2023),Asian Student Percentage Comparison Over Years (2010-2023),Hispanic Student Percentage Comparison Over Years (2011-2023),Black Student Percentage Comparison Over Years (2010-2023),White Student Percentage Comparison Over Years (2011-2023),Two or More Races Student Percentage Comparison Over Years (2010-2023),Diversity Score Comparison Over Years (2011-2023),Free Lunch Eligibility Comparison Over Years (2013-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2013-2023),Reading and Language Arts Proficiency Comparison Over Years (2010-2022),Math Proficiency Comparison Over Years (2010-2023),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2010-2022),Graduation Rate Comparison Over Years (2016-2023)
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset tracks annual reading and language arts proficiency from 2011 to 2022 for Pike County High School vs. Georgia and Pike County School District
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Colombia CO: Gender Parity Index (GPI): Literacy Rate: Youth Aged 15-24 data was reported at 1.006 Ratio in 2022. This records a decrease from the previous number of 1.006 Ratio for 2021. Colombia CO: Gender Parity Index (GPI): Literacy Rate: Youth Aged 15-24 data is updated yearly, averaging 1.008 Ratio from Dec 1993 (Median) to 2022, with 23 observations. The data reached an all-time high of 1.016 Ratio in 2003 and a record low of 1.000 Ratio in 2007. Colombia CO: Gender Parity Index (GPI): Literacy Rate: Youth Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Colombia – Table CO.World Bank.WDI: Social: Education Statistics. Gender parity index for youth literacy rate is the ratio of females to males ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;Weighted average;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual reading and language arts proficiency from 2011 to 2022 for Kern County Office Of Education School District vs. California
The dataset shows the level of education of male and female adults in Chepalungu and Bomet Central of Bometr county
Financial overview and grant giving statistics of Clarksville-Montgomery County Adult Literacy Council
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Graph and download economic data for Unemployment Rate in Berks County, PA (PABERK2URN) from Jan 1990 to Jun 2025 about Berks County, PA; Reading; PA; unemployment; rate; and USA.
https://www.usa.gov/government-workshttps://www.usa.gov/government-works
The population and housing unit estimates are released on a flow basis throughout each year. Each new series of data (called vintages) incorporates the latest administrative record data, geographic boundaries, and methodology. Therefore, the entire time series of estimates beginning with the date of the most recent decennial census is revised annually, and estimates from different vintages of data may not be consistent across geography and characteristics detail.
When multiple vintages of data are available, the most recent vintage is the preferred data.
The vintage year (e.g., V2021) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified.
Additional estimates files may also be accessed via the Census Bureau application programming interface (API).
Additional information on the Census Bureau's Population Estimates Program (PEP) is available on the PEP's homepage Census Bureau's Population Estimates Program.
Notes: For vintage 2019: The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. All geographic boundaries for the 2019 population estimates are as of January 1, 2019.
For vintage 2021: The estimates are developed from a base that incorporates the 2020 Census, Vintage 2020 estimates, and 2020 Demographic Analysis estimates. The estimates are developed from a base that incorporates the 2020 Census, Vintage 2020 estimates, and 2020 Demographic Analysis estimates.
For population estimates methodology statements, see http://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html">http://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html.
Sources: U.S. Census Bureau, Population Division Annual Estimates of the Resident Population for Counties in Pennsylvania: April 1, 2010 to July 1, 2019 (CO-EST2019-ANNRES-42) - Release Date: March 2020
Annual Estimates of the Resident Population for Counties in Pennsylvania: April 1, 2020 to July 1, 2021 (CO-EST2021-POP-42) - Release Date: March 2022
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual reading and language arts proficiency from 2010 to 2022 for Glenn County Office Of Education School District vs. California
https://data-nces.opendata.arcgis.com/datasets/21799e31394e48b4a0e1a994957a44ce_0/license.jsonhttps://data-nces.opendata.arcgis.com/datasets/21799e31394e48b4a0e1a994957a44ce_0/license.json
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.