There is a gender gap in the global literacy rate. Although literacy rates have generally increased worldwide for both men and women, men are on average more literate than women. As of 2023, about 90.6 percent of men and a little less than 84.1 percent of women in the world were literate. Adult literacy rate is defined as the percentage of people aged 15 years and above who can both read and write with understanding a short simple statement about their everyday life. Youth literacy rate Not only does the literacy gender gap concern adults, it also exists among the world’s younger generations aged 15 to 24. Despite an overall increase in literacy, young men are still more literate than young women. In fact, the global youth literacy rate as gender parity index was 0.98 as of 2023, indicating that young women are not yet as literate as young men. Gender pay gap Gender gaps occur in many different spheres of global society. One such issue concerns salary gender gaps in the professional life. Regarding the controlled gender pay gap, which measures the median salary for men and women with the same job and qualifications, women still earned less than men as of 2024. The difference was even bigger when measuring the median salary for all men and women. However, not everyone worries about gender pay gaps. According to a survey from 2021, 54 percent of the female respondents deemed the gender pay gap a real problem, compared to 45 percent of the male respondents.

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.

This dataset provides values for LITERACY RATE ADULT TOTAL PERCENT OF PEOPLE AGES 15 AND ABOVE WB DATA.HTML reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

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• The Healthcare IT market size is expected to be worth around USD 1728 Bn by 2032
• According to a report by UNESCO, countries in South and South-West Asia have the highest number of illiterate adults in the world, estimated at 388 million.
• Approximately 36% of adult Americans possess only basic or below basic health literacy skills.
• Only 12% of Americans are considered proficient in their health literacy skills.
• Health literacy levels in China increased from 6.48% of the population in 2008 to 23.15% in 2020.
• A recent study analyzing global health literacy research from 1995 to 2020 identified the United States, Australia, and the United Kingdom as major contributors to the international collaboration network on health literacy.
• Mental health has been the most active research field in recent years in the context of health literacy.

China literacy rate for 2020 was 96.74%, a 1.62% increase from 2010.

<ul style='margin-top:20px;'>

<li>China literacy rate for 2010 was <strong>95.12%</strong>, a <strong>4.2% increase</strong> from 2000.</li>
<li>China literacy rate for 2000 was <strong>90.92%</strong>, a <strong>13.14% increase</strong> from 1990.</li>
<li>China literacy rate for 1990 was <strong>77.79%</strong>, a <strong>12.28% increase</strong> from 1982.</li>
</ul>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.

In 2023, the average adult literacy rates (15 years and older) in Latin America and the Caribbean amounted to 94.79 percent. Literacy rates in Latin America and the Caribbean have been slightly improving in all three age groups since 2014.

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.

A survey conducted in the United States in August 2023 found that digital literacy among U.S. adults varied depending on the age group. Younger generations, aged 18 to 29, showed a much higher awareness of digital topics, such as online privacy, and an understanding of generative AI. However, there was a notable gap between them and individuals 65 and older. For example, only 26 percent of respondents older than 65 years could identify an example of two-factor authentication, compared to 68 percent of younger respondents.

In 2023, the illiteracy rate among adults aged 15 years and older was almost 32 percent in Sub-Saharan Africa. In South Asia, the illiteracy rate was 25 percent. Adult illiteracy rate is defined as the percentage of the population aged 15 and older who can not read or write. Even though illiteracy continues to persist around the world, illiteracy levels have been reduced significantly over the past decades.

Literacy in India has been increasing as more and more people receive a better education, but it is still far from all-encompassing. In 2022, the degree of literacy in India was about 76.32 percent, with the majority of literate Indians being men. It is estimated that the global literacy rate for people aged 15 and above is about 86 percent. How to read a literacy rateIn order to identify potential for intellectual and educational progress, the literacy rate of a country covers the level of education and skills acquired by a country’s inhabitants. Literacy is an important indicator of a country’s economic progress and the standard of living – it shows how many people have access to education. However, the standards to measure literacy cannot be universally applied. Measures to identify and define illiterate and literate inhabitants vary from country to country: In some, illiteracy is equated with no schooling at all, for example. Writings on the wallGlobally speaking, more men are able to read and write than women, and this disparity is also reflected in the literacy rate in India – with scarcity of schools and education in rural areas being one factor, and poverty another. Especially in rural areas, women and girls are often not given proper access to formal education, and even if they are, many drop out. Today, India is already being surpassed in this area by other emerging economies, like Brazil, China, and even by most other countries in the Asia-Pacific region. To catch up, India now has to offer more educational programs to its rural population, not only on how to read and write, but also on traditional gender roles and rights.

The National Center for Education Statistics’ (NCES) Education Demographic and Geographic Estimate (EDGE) program develops annually updated school district boundary composite files that include public elementary, secondary, unified, and administrative school district boundaries clipped to the U.S. shoreline. School districts are single-purpose administrative units designed by state and local officials to organize and provide public education for local residents. District boundaries are collected for NCES by the U.S. Census Bureau to support educational research and program administration, and the boundaries are essential for constructing district-level estimates of the number of children in poverty. The Census Bureau’s School District Boundary Review program (SDBR) (https://www.census.gov/programs-surveys/sdrp.html) obtains the boundaries, names, and grade ranges from state officials, and integrates these updates into Census TIGER. Census TIGER boundaries include legal maritime buffers for coastal areas by default, but the NCES composite file removes these buffers to facilitate broader use and cleaner cartographic representation. The NCES EDGE program collaborates with the U.S. Census Bureau’s Education Demographic, Geographic, and Economic Statistics (EDGE) Branch to develop the composite school district files. The inputs for this data layer were developed from Census TIGER/Line 2022 and represent boundaries reported for the 2021-2022 school year. For more information about NCES school district boundary data, see https://nces.ed.gov/programs/edge/Geographic/DistrictBoundaries. All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data

About this dataset

Context

The dataset tabulates the Reading town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Reading town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Reading town was 25,428, a 0.36% increase year-by-year from 2022. Previously, in 2022, Reading town population was 25,336, an increase of 0.08% compared to a population of 25,316 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Reading town increased by 1,567. In this period, the peak population was 25,537 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Reading town is shown in this column.
• Year on Year Change: This column displays the change in Reading town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Reading town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Reading town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Reading town was 1,685, a 0.18% decrease year-by-year from 2022. Previously, in 2022, Reading town population was 1,688, a decline of 1.11% compared to a population of 1,707 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Reading town decreased by 108. In this period, the peak population was 1,800 in the year 2002. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Reading town is shown in this column.
• Year on Year Change: This column displays the change in Reading town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Year. You can refer the same here

Introduction

The Global EdTech and Digital Literacy Market is projected to grow from USD 122.4 billion in 2024 to USD 790 billion by 2034, registering a CAGR of 20.5%. North America dominated in 2024 with a 36.2% market share, generating USD 44.3 billion in revenue. Rising demand for digital literacy, remote learning solutions, and integration of advanced technologies like AI and VR in education are propelling market expansion. The increasing adoption of EdTech tools across K-12, higher education, and corporate sectors is driving transformative learning experiences worldwide.

Forecast: Import of Printed Reading Books, Except Dictionaries to the US 2024 - 2028 Discover more data with ReportLinker!

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, MI was for the group of age 5 to 9 years years with a population of 156 (12.92%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Reading, MI was the 85 years and over years with a population of 15 (1.24%). 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

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 2018-2022 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 2022

In terms of income distribution across age cohorts, in Reading, householders within the 45 to 64 years age group have the highest median household income at $56,347, followed by those in the 65 years and over age group with an income of $47,833. Meanwhile householders within the 25 to 44 years age group report the second lowest median household income of $40,348. Notably, householders within the under 25 years age group, had the lowest median household income at $22,777.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-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

In 2024, Nicaragua was the Latin American country with the highest gender gap index, with 0.81 points. Another Central American country, Guatemala, had the worst score in the region with 0.7 points. This means that, on average, Guatemalan women have 30 percent less opportunities than men in education, health, the economy, and politics.

Gender Inequality in Latin America
Based on a 2023 survey conducted among the populace in each nation, Mexico has been perceived as having the least gender-based wage equality, receiving a score of 0.5 out of 1, which is the lowest. In contrast, Barbados is regarded as the most gender-equal among the LATAM countries. Furthermore, the labor market exhibits a male bias, as women have consistently experienced higher unemployment rates over the years, with a rate of 11.3 percent as of 2021. Additionally, it is more common across the countries to observe a greater proportion of females experiencing higher poverty rates, with Mexican and Colombian women being the primary two groups representing this circumstance.

Literacy gender gap
As education progresses in both the educational and labor sectors, the goal is to ensure that basic literacy is accessible to everyone. However, research data reveals that the gender parity index for adult and youth literacy in Latin America remains at around 1 percent. This means that one woman out of 100 is less likely to possess literacy skills compared to men. Furthermore, this rate shows a significant gender gap, with 93.71 percent of females in this region accounting for this skill. Consequently, in the labor field, there are implications for skilled workers due to this literacy gap, resulting in higher rates of unemployment, a lack of training, and a non-educational population. This issue affects approximately 28.4 percent of women in Latin America.

Graph and download economic data for Unemployment Rate in Reading, PA (MSA) (LAUMT423974000000003A) from 1990 to 2024 about Reading, PA, household survey, unemployment, rate, and USA.

Funded by the same public sources, charter schools offer primary- and secondary-level programs more flexible in curriculum design and implementation than traditional public schools. Charter schools receive nearly all their funding from federal, state and local governments, so revenue can fluctuate significantly based on budgetary decisions tied to tax income. However, many charter schools are funded per pupil, enabling schools to drive up enrollment without worrying about financial support. Sustained long-term growth in charter school enrollment saw its first setback in 2022 as alternatives became much more attractive, though growth in per-pupil funding helped offset shrinking student bodies. Overall, industry revenue is anticipated to climb at a CAGR of 0.5% to an estimated $49.6 billion through the end of 2024, including a 0.3% increase in 2024 alone. As of 2024, 45 states have charter school legislation. Charter schools are overwhelmingly located in urban areas, and the rising percentage of the population living in cities will drive up demand for charter schools. Employment has surged through the current period as administrators seek to lower student-to-teacher ratios and improve educational outcomes. While all charter schools are nonprofit, these strong jumps in wage costs have dampened surpluses and forced some schools to cut their spending on discretionary services, like professional development programs. An anticipated expansion in parent choice programs will drive enrollment and make room for new charter schools to open. While some studies have shown charter schools to be more effective than traditional public schools, they still have room to prove their superiority. Competition from highly regarded private schools will be challenging for charter schools to overcome, especially as parents become better able to afford them. Charter schools are expected to become more specialized as they focus on specific demographics to help their students succeed better and secure a reputation for academic rigor. Over the five years to 2029, industry revenue is anticipated to swell at a CAGR of 0.2% to reach $50.2 billion.