According to the results of a survey held in the United States, the share of Americans who had read more than 12 books in the last three months stood at five percent in February 2024. However, 28.5 percent had not any read any books in the three months running up to the survey.

The Progress in International Reading Literacy Study, 2011 (PIRLS 2011), is part of the Progress in International Reading Literacy Study (PIRLS) program. PIRLS 2011 (https://nces.ed.gov/surveys/pirls/) is a cross-sectional study that provides international comparative information of the reading literacy of fourth-grade students and examines factors that may be associated with the acquisition of reading literacy in young students. The study was conducted using questionnaires and direct assessments of fourth-grade students. In the United States a total of 370 schools and 12,726 fourth-grade students participated in 2011. The final weighted student response rate was 96 percent and the final weighted school response rate was 85 percent. The overall weighted response rate was 81 percent. Key statistics produced from PIRLS 2011 are how well fourth-grade students read, how students in one country compare with students in another country, how much fourth-grade students value and enjoy reading, and internationally, how the reading habits and attitudes of students vary.

In 2023, adults in the United States spent more time reading on weekends than weekdays, according to recent data. The average time spent reading in the U.S. amounted to 0.28 hours (almost 17 minutes) on weekends and holidays, while daily time spent reading on weekdays in 2023 dropped back to pre-pandemic levels at a quarter of an hour.

A survey examining book readership in the United States as of February 2021 showed that 68 percent of 18-to-29-year-olds had read a print book in the last year. The share was slightly lower among older adults, though more than 50 percent of respondents in each age group reported having read at least one printed book in the 12 months leading to the survey.

In the United States in 2023, Asian Americans spent an average of 17.4 minutes reading per day. White readers spent the most time with books each day, whereas Hispanic Americans read for just six minutes on average.

The average daily time spent reading by individuals in the United States in 2023 amounted to 0.26 hours, or 15.6 minutes. According to the study, adults over the age of 75 were the most avid readers, spending over 45 minutes reading each day. Meanwhile, those aged between 15 and 19 years read for less than nine minutes per day on average. Reading and COVID-19 Daily time reading increased among most consumers between 2019 and 2020, part of which could be linked to the unprecedented increases in media consumption during COVID-19 shutdowns. The mean annual expenditure on books per consumer unit also increased year over year, along with spending on digital book readers. Book reading habits A 2020 survey on preferred book formats found that 70 percent of U.S. adults favored print books over e-books or audiobooks. However, engagement with digital books is growing. Figures from an annual study on book consumption revealed that the share of adults who reported reading an audiobook in the last year almost doubled between 2011 and 2019, and e-book readership also grew overall during that period.

In September 2017, USAID commissioned RTI and Pratham Education Foundation’s (Pratham) Annual Status of Education Report (ASER) Centre to conduct the Analysis of Early Grade Reading Assessment (EGRA) in India activity. Together, RTI and Pratham developed a research plan and modified standard ASER and EGRA instruments to serve the research objective. The five largest education projects from the Mission’s portfolio were selected for inclusion into the assessment. Projects use different approaches and strategies to achieve similar goals – some work through government systems while others are working directly with schools to improve learning outcomes.

This dataset contains baseline Early Grade Reading Assessment (EGRA) data conducted under the USAID/Zambia Education Data activity between November – December 2018. Over 15,000 Grade 2 learners were assessed in one of the seven Government of the Republic of Zambia (GRZ) languages of Instruction (LoI) (Chitonga, Cinyanja, Icibemba, Kiikaonde, Lunda, Luvale or Silozi) as well as in English. The EGRA was conducted in five target provinces (Eastern, Muchinga, North-Western, Southern and Western Provinces). The purpose of the 2018 baseline EGRA is to establish a baseline level from which changes in Grade 2 learners’ performance in the core reading skills can be tracked over time. Each assessment contained seven subtasks, which included; (1) listening comprehension in both the LoI and in English; (2) letter sound identification in the LoI; (3) syllable sound identification in the LoI; (4) non-word reading in the LoI; (5) oral reading fluency in the LoI; (6) reading comprehension in the LoI and; (7) English vocabulary. In addition, assessors also administered a Snapshot of School Management and Effectiveness (SSME), which included head teacher, teacher, and learner questionnaires, along with a school inventory, to establish school characteristics and learner demographics in the sampled schools. The 2018 Baseline EGRA used a stratified sampling methodology to randomly select a representative sample of 816 schools from the five target provinces. Of the 816 schools, 630 were Government of the Republic of Zambia (GRZ)-run primary schools and 186 were community-run schools.

About this dataset

Context

The dataset tabulates the population of Reading by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Reading across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 51.42% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Reading is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender 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 Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Reading population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of Reading.

Content

The dataset constitues the following two datasets across these two themes

• Reading, KS Population Breakdown by Gender
• Reading, KS Population Breakdown by Gender and Age

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/.

Estimated average scores of 15-year-old students, reading, mathematics and science, Programme for International Student Assessment (PISA), Canada, provinces and participating countries, Council of Ministers of Education Canada (CMEC). This table is included in Section C: Elementary-secondary education: Student achievement of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, education finance and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

Graph and download economic data for Expenditures: Reading by Age: from Age 25 to 34 (CXUREADINGLB0403M) from 1984 to 2023 about book, age, 25 years +, expenditures, and USA.

About this dataset

Context

The dataset tabulates the population of Reading by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Reading. The dataset can be utilized to understand the population distribution of Reading by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Reading. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Reading.

Key observations

Largest age group (population): Male # 0-4 years (89) | Female # 5-9 years (86). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Reading population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Reading is shown in the following column.
• Population (Female): The female population in the Reading is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Reading for each 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 Population by Gender. You can refer the same here

In 2021, 39 percent of respondents with a high school degree or less reported not having read a book in the last year, compared to 17 percent who had some college education. Survey respondents who were college graduates or had pursued further education beyond college were the least likely to say that they had not read a single print book, e-book, or audiobook in the past 12 months.

About this dataset

Context

The dataset tabulates the population of Reading town by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Reading town across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 52.06% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Reading town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender 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 Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Reading town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Reading town. The dataset can be utilized to understand the population distribution of Reading town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Reading town. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Reading town.

Key observations

Largest age group (population): Male # 70-74 years (46) | Female # 55-59 years (54). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Reading town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Reading town is shown in the following column.
• Population (Female): The female population in the Reading town is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Reading town for each 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 town Population by Gender. You can refer the same here

Graph and download economic data for Civilian Labor Force in Reading, PA (MSA) (READ742LF) from Jan 1990 to Dec 2024 about Reading, PA, civilian, labor force, labor, and USA.

The share of white U.S. adults who had not read a book in the last 12 months in the United States amounted to just 20 percent in 2021, whereas 25 percent of Black adults said that they had not read a book during that time period. Hispanic adults were the least likely to have read a print book, e-book, or audiobook in the year running the February 2021 survey, with 38 percent saying that they had not done so.

About this dataset

Context

The dataset tabulates the population of Reading by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Reading across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 50.68% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Reading is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender 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 Race & Ethnicity. You can refer the same here

Financial overview and grant giving statistics of Reading on Wheels