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.

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.

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.

In 2023, women spent an average of 0.32 hours per day reading, which equates to 19.2 minutes. Men were less likely to read as often as women, and their average daily reading time decreased each year, with the exception of 2020 when their reading time increased substantially.

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.

This statistic presents the share of people in the United States who have read at least one e-book in the past 12 months as of January 2018, broken down by ethnicity. During a survey, 19 percent of Hispanic respondents stated they had read at least one e-book in the previous 12 months.

This data asset contains information about the language mapping survey conducted in USAID's Pakistan Reading Project (PRP) schools during 2015-18. The purpose of this survey was to create a landscape of languages that are spoken in PRP target schools. The landscape is intended to provide an insight into the breadth of languages spoken and preferred by children and teachers so that dialogue on the implementation of mother tongue instruction in early grades could be held on informed grounds.

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 to 24 years years with a population of 23 (14.65%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Reading, KS was the 75 to 79 years years with a population of 1 (0.64%). 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

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

This statistic shows the share of consumers who read a book in the last year in Canada from 2014 to 2018. In the last reported period, 81 percent of respondents said they had read a book in the preceding 12 months, down from 88 percent of respondents in 2014.

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 52.25% 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

Dominican Republic DO: Literacy Rate: Youth Male: % of Males Aged 15-24 data was reported at 97.225 % in 2015. This records a decrease from the previous number of 97.354 % for 2014. Dominican Republic DO: Literacy Rate: Youth Male: % of Males Aged 15-24 data is updated yearly, averaging 96.092 % from Dec 1981 (Median) to 2015, with 9 observations. The data reached an all-time high of 97.354 % in 2014 and a record low of 81.257 % in 1981. Dominican Republic DO: Literacy Rate: Youth Male: % of Males Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Dominican Republic – Table DO.World Bank: 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; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Latvia LV: Literacy Rate: Adult: % of People Aged 15 and Above data was reported at 99.896 % in 2011. This records an increase from the previous number of 99.747 % for 2000. Latvia LV: Literacy Rate: Adult: % of People Aged 15 and Above data is updated yearly, averaging 99.747 % from Dec 1989 (Median) to 2011, with 3 observations. The data reached an all-time high of 99.896 % in 2011 and a record low of 99.452 % in 1989. Latvia LV: Literacy Rate: Adult: % of People Aged 15 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Latvia – Table LV.World Bank.WDI: 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; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Abstract

The Early Grade Reading Study II is a Randomized Control Trial that evaluated two early grade reading interventions in 180 primary schools in two districts in the province of Mpumalanga, South Africa. The interventions focused on early learning of English as a second language and were implemented with Grade 1 teachers in 2017, Grade 2 teachers in 2018, and Grade 3 teachers in 2019. Across all three years of implementation, the study attempted to measure the causal impact on learner reading performance and investigated the change mechanisms of a structured pedagogic programme. Data on the interventions and outcomes was collected in 2017 (waves 1 and 2), 2018 (wave 3) and 2019 (wave 4) with assessments of the same learners in each wave, as well as interviews with the learners' parents and teachers, and their school principles. The teacher interviews included short English reading tests.

Analysis unit

Individuals

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Research instrument

Data was collected with the following instruments: Learner Assessment forms: A Baseline Learner Assessment form (Grade 1) in Wave 1 A Midline Learner Assessment form (end of Grade 1) in Wave 2 A Grade 2 Learner Assessment form in Wave 3 A Grade 3 Learner Assessment form in Wave 4

A Parent Questionnaire A Teacher Questionnaire A Principal Questionnaire

The instruments were in English, isiZulu and siSwati. The Study used different Learner Assessment forms each year. The principal and teacher questionnaires were also revised each year.

It has been suggested that readers spend a great deal of time skim reading on the Web and that this type of reading can affect comprehension of text. Across 2 experiments, we utilised eye tracking methodology to explore how hyperlinks and navigating web pages affect reading behaviour. In Experiment 1, participants read static web pages either for comprehension or whilst skim reading, while in Experiment 2, participants additionally read through a navigable Web environment. Embedded target words were either hyperlinks or not and were either high-frequency or low-frequency words. Results from Experiment 1 showed readers only fully lexically process linked words when skim reading, as was evidenced by a frequency effect that was absent for the unlinked words. They did fully lexically process both linked and unlinked words when reading for comprehension. In Experiment 2, which allowed for navigating, readers only fully lexically processed linked words compared to unlinked words, regardless of whether they were skim reading or reading for comprehension. We suggest that readers engage in an efficient reading strategy where they attempt to minimise comprehension loss while maintaining a high reading speed. Readers use hyperlinks as markers to suggest important information and use them to navigate through the text in an efficient and effective way. The task of reading on the Web causes readers to engage with the text in a markedly different way from typical reading experiments.

Costa Rica CR: Literacy Rate: Youth: % of People Age 15-24 data was reported at 99.530 % in 2021. This records an increase from the previous number of 80.550 % for 2018. Costa Rica CR: Literacy Rate: Youth: % of People Age 15-24 data is updated yearly, averaging 98.000 % from Dec 1984 (Median) to 2021, with 5 observations. The data reached an all-time high of 99.530 % in 2021 and a record low of 80.550 % in 2018. Costa Rica CR: 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 Costa Rica – Table CR.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 September 30, 2024. https://apiportal.uis.unesco.org/bdds.;Weighted average;

Malaysia: PISA reading scores: The latest value from 2022 is 388.088 index points, a decline from 414.98 index points in 2018. In comparison, the world average is 437.426 index points, based on data from 78 countries. Historically, the average for Malaysia from 2012 to 2022 is 400.421 index points. The minimum value, 388.088 index points, was reached in 2022 while the maximum of 414.98 index points was recorded in 2018.

There has been debate about whether blue hyperlinks on the Web cause disruption to reading. A series of eye tracking experiments were conducted to explore if coloured words in black text had any impact on reading behaviour outside and inside a Web environment. Experiment 1 and 2 explored the saliency of coloured words embedded in single sentences and the impact on reading behaviour. In Experiment 3, the effects of coloured words/hyperlinks in passages of text in a Web-like environment was explored. Experiment 1 and 2 showed that multiple coloured words in text had no negative impact on reading behaviour. However, if the sentence featured only a single coloured word, a reduction in skipping rates was observed. This suggests that the visual saliency associated with a single coloured word may signal to the reader that the word is important, whereas this signalling is reduced when multiple words are coloured. In Experiment 3, when reading passages of text containing hyperlinks in a Web environment, participants showed a tendency to re-read sentences that contained hyperlinked, uncommon words compared to hyperlinked, common words. Hyperlinks highlight important information and suggest additional content, which for more difficult concepts, invites rereading of the preceding text.

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 # 20-24 years (4,448) | Female # 15-19 years (4,217). 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.

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

Out of all ethnic groups, pupils from the White Irish and Chinese ethnic groups were most likely to meet the expected standard in reading in 2018/19.

This dataset contains college readiness information, by congressional district, for the state of Michigan. This dataset is reporting score information from the 2017-2018 school year. Students were considered ready for college if they scored at or above the benchmark scores. The SAT Benchmarks represent the likelihood of success in entry-level college courses. The benchmark for Evidenced-Based Reading and Writing (EBRW) is 480 and 530 for Math. The SAT total score reported for Michigan is the combined Evidenced-Based Reading and Writing, and Math Student Score. The Total Score range is 400 – 1600. Data Driven Detroit obtained this data from MiSchoolData.org in October 2018 at a building level and aggregated the data to a congressional district level.