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.

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.

This statistic presents the level of self assessed financial literacy in the United States in 2017, by age-group. During the survey period, 50 percent of respondents, aged between 18 and 29 years, admitted that they were somewhat financially literate.

Literacy Rate, Adult Total for Georgia was 100.00000 % of People Ages 15 and Above in January of 2022, according to the United States Federal Reserve. Historically, Literacy Rate, Adult Total for Georgia reached a record high of 100.00000 in January of 2022 and a record low of 99.36426 in January of 2017. Trading Economics provides the current actual value, an historical data chart and related indicators for Literacy Rate, Adult Total for Georgia - last updated from the United States Federal Reserve on July of 2025.

The U.S. PIAAC Skills Map provides estimates of adult literacy and numeracy proficiency in all U.S. states and counties, based on small area estimation applied to data from U.S. PIAAC Cycle I (2012-2017). The estimates from the Skills Map were published in an Excel format available from within the Skills Map's interactive webpage. This project includes the Skills Map estimates as well as the user guide and methodological reports published with the Skills Map.

This statistic shows the share of Millennials reading poetry in the United States in 2012 and 2017. The data reveals that the share of adults aged 18 to 24 years old reading poetry more than doubled in five years, increasing from *** percent in 2012 to **** percent in 2017.

This statistic presents information on reading habits among children in the United States from 2011 to 2017. In 2017, *** percent of responding parents said that their child read or was read to once a week.

This statistic shows the share of adults reading poetry in the United States from 2002 to 2017. The data shows that 11.7 percent of surveyed U.S. adults were reading poetry in 2017, up from 6.7 percent five years previously.

This dataset tracks annual reading and language arts proficiency from 2017 to 2021 for American Academy Of Innovation School District vs. Utah

About this dataset

Context

The dataset tabulates the Reading population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Reading. The dataset can be utilized to understand the population distribution of Reading by age. For example, using this dataset, we can identify the largest age group in Reading.

Key observations

The largest age group in Reading, KS was for the group of age 20-24 years with a population of 26 (15.95%), according to the 2021 American Community Survey. At the same time, the smallest age group in Reading, KS was the 75-79 years with a population of 1 (0.61%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Reading is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Reading total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Reading Population by Age. You can refer the same here

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from State officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to States and school districts. TIGER/Line Shapefiles include separate shapefiles for elementary, secondary and unified school districts. The school district boundaries are those in effect for the 2015-2016 school year, i.e., in operation as of January 1, 2016.

This statistic displays the frequency of reading print magazines among consumers in the United States, sorted by age group. During the May 2017 survey, 26 percent of respondents aged 18 to 29 years stated that they read print magazines less than once a month.

This statistic displays the frequency of reading print magazines by consumers in the United States in 2017. During the May 2017 survey, 19 percent of respondents stated that they read print magazines less than once a month.

This dataset tracks annual reading and language arts proficiency from 2017 to 2021 for American Preparatory Academy - Salem vs. Utah and American Preparatory Academy School District

United States CES: AAE: Reading data was reported at 110.000 USD in 2017. This records a decrease from the previous number of 118.000 USD for 2016. United States CES: AAE: Reading data is updated yearly, averaging 139.500 USD from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 166.000 USD in 1993 and a record low of 100.000 USD in 2010. United States CES: AAE: Reading data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H042: Consumer Expenditure Survey.

About this dataset

Context

The dataset tabulates the Reading town Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Reading town, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Reading town.

Key observations

Among the Hispanic population in Reading town, regardless of the race, the largest group is of other Hispanic or Latino origin, with a population of 69 (75.99% of the total Hispanic population).

https://i.neilsberg.com/ch/reading-ma-population-by-race-and-ethnicity.jpeg" alt="Reading town Non-Hispanic population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Origin for Hispanic or Latino population include:

• Mexican
• Black or African American
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the Reading town
• Population: The population of the specific origin for Hispanic or Latino population in the Reading town is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Reading town total Hispanic or Latino population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Reading town Population by Race & Ethnicity. You can refer the same here

WaKIDS, the Washington Kindergarten Inventory of Developing Skills, includes an assessment that is administered during the first two months of kindergarten. Teachers observe students across six areas of development and learning; Social-Emotional, Physical, Language, Cognitive, Literacy and Math. While the only requirement for kindergarten is to be five years of age by August 31, children who demonstrate readiness in all six areas have a greater likelihood of success in kindergarten and beyond.

About this dataset

Context

The dataset tabulates the Reading town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Reading town. The dataset can be utilized to understand the population distribution of Reading town by age. For example, using this dataset, we can identify the largest age group in Reading town.

Key observations

The largest age group in Reading, New York was for the group of age 60-64 years with a population of 240 (13.02%), according to the 2021 American Community Survey. At the same time, the smallest age group in Reading, New York was the 80-84 years with a population of 29 (1.57%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Reading town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Reading town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Reading town Population by Age. You can refer the same here

The statistic shows the formats read on a regular basis by consumers in the United States in 2017, by gender. During the survey, 58 percent of male respondents stated that they read non-fiction books regularly.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Reading. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Reading. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2021

In terms of income distribution across age cohorts, in Reading, the median household income stands at $41,885 for householders within the 65 years and over age group, followed by $39,859 for the 45 to 64 years age group. Notably, householders within the 25 to 44 years age group, had the lowest median household income at $37,562.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Reading median household income by age. You can refer the same here