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.

A survey held in the United States in early 2021 found that 23 percent of all participants had not read any books in the twelve months running to the survey, whereas 18 percent of adults reported having read more than 20 print, audio, or e-books in the last year. The share of respondents who had read 20 books or more grew consistently between 2018 and 2021.

The statistic presents all-time world's bestselling books as of May 2012. J.K. Rowling's "Harry Potter" series, which is the most successful movie franchise in the world, ranked third with 400 million copies sold worldwide.

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.

According to a survey on Chinese reading habits conducted annually, paper books were more popular than digital books in China. As per survey results as of April 2024, Chinese adult consumers read an average of about 4.75 print books and 3.4 e-books per person.

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 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.

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.

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.

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 # 55-59 years (17) | Female # 20-24 years (19). 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

Annual statistics on Libraries in the London Borough of Barnet including:

Yearly and weekly visitor figures

For more information visit the Barnet Libraries webpage

The statistic shows the number of books read in the last twelve months by consumers in the United States as of December 2018, sorted by gender. According to the most recent data, 16 percent of male respondents did not read any books in 2018, compared to just 14 percent of females.

Financial overview and grant giving statistics of Our Kids Read Association

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

Read Philippines or Basa Pilipinas was a four-year early grade reading project that operated from January 2013 to December 2016 and supported the Philippine Department of Education’s national reading program. Basa assisted the implementation of transformative literacy practices in selected divisions of Regions 1 and 7 by providing teacher and student materials, training teachers and school heads, and providing post-training support for Grade 1, 2 and 3 teachers, as well as providing Early Language, Literacy and Numeracy training to kindergarten teachers. The Basa Pilipinas activity used a quasi-experimental cross-sectional design to evaluate the impact of the treatment in improving reading and comprehension skills. Sampling was conducted at three levels: school, classrooms, and student. The school sample was drawn randomly from the activity’s five provinces. Within each school, one grade 2 classroom was selected randomly for baseline and midline with an additional grade 3 classroom selected during the endline. Within each classroom, students were randomly selected to be administered the assessment. A total of 469 students were sample from 40 schools in two provinces at the baseline (comparison), 1,216 students were sampled from 80 schools in five provinces at the midline (intervention 1), and 1,658 students were sampled from 5 provinces at the endline (intervention 2). The disparity in the number of provinces sampled is due to the expansion of the intervention from two provinces to five provinces starting at the midline to provide a more complete picture of the Basa outcomes. To enable the computation of estimates of literacy skills among students in all schools affected by the Basa intervention, design weights were applied to the analyses of EGRA data. Design weights were applied to compensate for differences in provincial sampling and to ensure an appropriate representation of learners in all provinces in the sample.

Financial overview and grant giving statistics of Read to Me

Financial overview and grant giving statistics of Reading on Wheels

A survey held between September and November 2020 found that the average number of print books engaged with per month was 3.8 among adults in the United States who took part in the study. By comparison, audiobooks were less popular among survey respondents, with fewer than two audiobooks engaged with per month on average.

*In standard deviations.