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

The Progress in International Reading Literacy Study, 2006 (PIRLS 2006), is a study that is part of the Progress in International Reading Literacy Study (PIRLS) program. PIRLS 2006 (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 183 schools were sampled and 5,190 fourth-grade students were tested. The final weighted student response rate was 95 percent and the final weighted school response rate was 99 percent. The overall weighted response rate was 82 percent. Key statistics produced from PIRLS 2006 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 2022 there were more than 5.4 million book readers in Italy between the ages of six and 24 years who read at least one book in the last 12 months. By comparison, the corresponding figure for those aged 45 to 64 years stood at more than 6.7 million, with this age group also being the most likely to read several books per year.

German teenage book reading frequency depends on age groups. 44 percent of 12- to 13-year-olds read daily or several times a week, according to a recent survey. It appears that teenagers in that age group read the most often. The share of teenagers, who don't read at all, is largest in the age group of 18- to 19- year-olds, with around a 17 percent of them never indulging in reading. Nose stuck in a book? Generally, the number of people reading books daily or several times a week was dropping year after year, while the number of people who never read has been increasing slightly every year. A growing number of people also state that they do not buy books, though those who do still mainly buy paperbacks. This may be attributed to digitalization hitting the book industry and the understandable appeal of e-readers to an increasingly mobile nation. Next chapter The German book market is forecast to experience stable revenue development in the coming years, with the fiction segment generating the most, in comparison to textbooks and nonfiction. Changing consumption habits among readers and the rise of mobile devices and e-readers will continue to influence and change the book market.

User ID: Unique identifier for each participant.

Age: Age of the participant.

Gender: Gender of the participant (f for female, m for male).

Favorite Book Genre: The genre of books most enjoyed by the participant (e.g., Fiction, Fantasy, Science).

Weekly Reading Time (hours): Average number of hours spent reading per week.

Mood Impact: Reported impact on mood after reading (Positive, Neutral, Negative).

This data set. It was created by myself as practice for my own data analysis work. in this dataset. It can be used to analyze the connection between people's weekly reading hours and their emotional state.

During a survey held in early 2021, it was found that 83 percent of adults aged between 18 and 29 years old had read a book in any format in the previous year, up by two percent from the share who said the same in 2019. The survey results showed that adults within this age category were more likely than older respondents to have read a book within the last twelve months.

Book readers in the U.S.

While it is mostly believed that book reading is a vanishing pastime, particularly among Millennials, surveys among consumers in the U.S. have shown the opposite. The share of book readers in the U.S. has varied from 72 percent to 79 percent between 2011 and 2016.

In regards to age of book readers in the country, a 2016 survey shows about 80 percent of respondents between the ages of 18 to 29 had read at least one book in the previous 12 months, the highest share amongst all age groups. About 73 percent of the respondents aged between 30 to 49 years old said they read at least one book in the last 12 months. The share among respondents between 50 and 64 years old stood at 70 percent, whereas 67 percent of respondents aged 65 plus stated reading book during the time measured. In terms of education level, book readers in the U.S. are more likely to have a college degree, or at least some college education – 86 percent and 81 percent respectively. Women in the U.S. read slightly more than men; 68 percent of male respondents started reading at least one book in the previous 12 months, against 77 percent of female respondents that said the same.

Despite the rise of digital platforms and the rising popularity of e-reading devices such as Kindle, Kobo and others, printed books still remain the most popular book format in the U.S., as 65 percent of Americans stated preference for printed books in 2016. E-books were consumed by 28 percent of respondents in 2016, whereas audio books were listened by 14 percent of the respondents. Millennials accounted for the largest share of printed book readers in the U.S. – 72 percent as of 2016.

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.

Vocabulary knowledge is crucial for accessing the school curriculum and for performance on school assessments. It is also strongly influenced by a child’s exposure to language in the home and disadvantages in knowledge are apparent at school-entry. Vocabulary knowledge has a lasting influence on academic achievement that persists into secondary school and disadvantages are only partially ameliorated by teacher-directed instruction. Reading ability is also crucial for academic achievement, but contrasts with vocabulary as a skill in which initial disadvantages tend to fade over time. We followed primary-aged pupils from the Aston Literacy Project (a large longitudinal study of reading from school-entry to late-primary) during the critical but under-researched transition to secondary school. This data set includes information on children’s vocabulary, word reading and reading comprehension at the and of primary school and the beginning of secondary school. The data were used to examine reading and vocabulary development across the primary-secondary school transition.

This dataset is about books. It has 1 row and is filtered where the book is How to read statistics. It features 7 columns including author, publication date, language, and book publisher.

Number of programs held, by branch, during annual “Summer Read & Learn” (June through August). Numbers represent programs held for target audiences (i.e., babies, toddlers, preschoolers, kindergartners, elementary school-aged, teenagers).

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 # 60-64 years (98) | Female # 60-64 years (120). 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

Financial overview and grant giving statistics of Reading Literacy Learning Center Inc

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

Book Reading

## Overview

Book Reading is a dataset for object detection tasks - it contains Open annotations for 357 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

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.

This table contains 336 series, with data for years 1997 - 2009 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...); Household spending, reading materials (6 items: Total reading materials and other printed matter; Newspapers; Magazines and periodicals; Books and pamphlets (excluding school books); ...); Statistics (4 items: Average expenditure; Percent of households reporting; Estimated number of households reporting; Median expenditure per household reporting).

Recent data revealed that 28 percent of Boomers who responded to a survey held in the United States in March 2020 were more likely to read books as a result of the coronavirus outbreak, compared to 34 percent of Gen X respondents.Millennials were the most likely to read more books to keep themselves entertained whilst self-isolating, with 40 percent saying that they were more inclined to read books, seven percent higher than all adults in total.

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 majority of male population, with 53.82% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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

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.