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.

United States - Literacy Rate, Adult Total for Pacific Island Small States was 90.93676 % of People Ages 15 and Above in January of 2020, according to the United States Federal Reserve. Historically, United States - Literacy Rate, Adult Total for Pacific Island Small States reached a record high of 91.29381 in January of 2018 and a record low of 86.96678 in January of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Literacy Rate, Adult Total for Pacific Island Small States - last updated from the United States Federal Reserve on June of 2025.

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 worldwide 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 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.

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 education level. During a survey, 42 percent of college graduates stated they had read at least one e-book in the previous 12 months.

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, PA was for the group of age 20 to 24 years years with a population of 8,647 (9.14%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Reading, PA was the 80 to 84 years years with a population of 1,027 (1.09%). 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 tabulates the Reading town 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 town. The dataset can be utilized to understand the population distribution of Reading town by age. For example, using this dataset, we can identify the largest age group in Reading town.

Key observations

The largest age group in Reading, New York was for the group of age 60 to 64 years years with a population of 224 (12.63%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Reading, New York was the 80 to 84 years years with a population of 31 (1.75%). 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 town is shown in this column.
• % of Total Population: This column displays the population of each age group 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 Age. You can refer the same here

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, ** percent of male respondents did not read any books in 2018, compared to just ** percent of females.

Literacy in India has been increasing as more and more people receive a better education, but it is still far from all-encompassing. In 2023, the degree of literacy in India was about 77 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 study's primary goal is to assess whether a mixed-mode professional development (PD) model that combines virtual and in-person delivery of PD activities can serve as a viable alternative to the original face-to-face delivery approach in supporting teachers' use of the Assessment-to-Instruction (A2i) system, facilitating their implementation of differentiated small-group instruction, and improving students' reading skills in a large, diverse set of schools. There are three datasets for this study: A school-level dataset that includes information collected about the 59 schools in the study. School-level information was collected from the 2017-2018 Common Core of Data provided by the National Center of Education Statistics, the 2017-2018 Civil Rights Data Collection provided by the Office of Civil Rights, and school-level reading achievement data during the 2017-2018 school year, provided by state education departments. To maintain anonymity of schools, we excluded any publicly available data about school characteristics from the dataset. In Table 3 in the study report, which compares the study schools to public elementary schools nationally, the national sample includes all public, regular elementary schools serving students in any of Grades K, 1, 2, or 3 that are not charter, magnet or virtual schools. A teacher-level dataset that includes teachers in the analysis sample (i.e. teachers in Grades K-1 in the 2017-2018 school year, expanding to Grades K-3 in the 2020-2021 school year). This dataset includes responses to the two teacher surveys administered in 2019 and 2021, information about teacher usage of the A2i platform, and the number of PD events attended by each teacher in 2019-2020 and 2020-2021. A student-level dataset that includes all information used for the student-level analysis, including student demographic from district records and student achievement data from A2i assessments, Gates-MacGinitie Reading Tests administered in the spring of 2019, and state/district reading tests administered in the spring of 2021.

The global children’s books market is expected to grow at a CAGR of 5.5% during the forecast period, 2018-2028. The market growth can be attributed to the increasing demand for children’s books from various application segments such as baby-2, ages 3-5, ages 6-8, and ages 9-12. Additionally, the rising adoption of eBooks among children is also propelling the growth of this market.

A children's book is a book specifically designed for children, usually with brightly colored pictures and easy-to-read text.

On the basis of types, the market is segmented into Books, e-Books

Books:

Books and their usage in the children s books sales market is a type of business that involves the distribution of children s books. The industry has been witnessing significant changes over the past few years owing to digitalization, the emergence of e-readers, and the growing popularity of audiobooks. With changing technology, there has also been a change in consumer behavior as they are now more inclined towards reading on electronic devices instead of on paper.

E-Books

E-Books are digital books that can be read on electronic devices, such as computers, tablets, and smartphones. They are becoming increasingly popular with readers of all ages, as they offer a convenient and portable way to read. Sales of e-books have been growing steadily in recent years, as more and more people adopt this new reading technology. In fact, e-book sales now make up for a significant portion of total book sales worldwide. This trend is expected to continue in the coming years, as e-books become even more widely available and affordable.

On the basis of Application, the market is segmented into Baby-2, Ages 3-5, Ages 6-8, Ages 9-12. Children's books are one of the most popular genres worldwide and have been for centuries. It is widely believed that children's books can influence a child's imagination and creativity, as well as help them develop language skills and learn about their world. Age-appropriate books provide opportunities for babies to learn about communication and language, early literacy, math, science, and social studies. They also inspire imagination and creativity, instill a love of reading, and promote physical activity.

On the basis of region, the market is segmented into North America, Latin America, Europe, The Asia Pacific, and the Middle East & Africa.

North America dominated the global children s books sales with a share of more than 40.0% in 2019. The U.S., as well as other countries such as Canada, are among the largest consumers of children's books across the world owing to the high demand for different types of these books from various age groups and application areas.

The Asia Pacific is expected to witness significant growth over the forecast period owing to the increasing number of schools coupled with rising enrollment rates which will lead to an increase in demand for educational materials including textbooks.

Growth Factors:

• Increasing literacy rates and the corresponding demand for children's books.
• The increasing number of households with children is driving demand for children's books.
• The rising popularity of reading among parents, who are increasingly buying their children books to read together as a family activity.
• The growing trend of giving children educational gifts, such as books, is fueling demand for children's books sales market growth globally.

Report Scope

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 25 to 44 years age group have the highest median household income at $92,225, followed by those in the 45 to 64 years age group with an income of $70,438. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $42,353. Notably, householders within the under 25 years age group, had the lowest median household income at $31,796.

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

About this dataset

Context

The dataset tabulates the data for the Reading, OH population pyramid, which represents the Reading population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Reading, OH, is 23.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Reading, OH, is 25.2.
• Total dependency ratio for Reading, OH is 48.2.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Reading, OH is 4.0.

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 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 for the selected age group is shown in the following column.
• Population (Female): The female population in the Reading for the selected age group is shown in the following column.
• Total Population: The total population of the Reading for the selected age group is shown in the following column.

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 thesis explores the intersection of digital literacy and civic engagement. To do so, it conceptualizes digital literacy as functional and critical skills and knowledge about the internet that are contextually situated. Drawing on utopian studies and political theory, it conceptualizes critical digital literacy, in particular, as incorporating users’ utopian/dystopian imaginaries of society in the digital age. Such an approach prescribes that critical digital literacy relies on understanding both the potentials and the limitations of the internet for civic life. I argue that applying utopianism/dystopianism to critical digital literacy enables us to disentangle users’ imaginaries of the internet from their imaginaries of civic life, which align with different ideologies. With this novel approach to digital literacy in mind, this study focuses on digital experts (e.g., information, IT and media professionals) and civic advocates (e.g., community councillors, political party candidates, activists) in the United Kingdom to address whether and how civic engagement provides opportunities for learning digital literacy, and whether and how the latter, in turn, facilitates civic engagement. To answer these questions, I employ a mixed qualitative methodology, using semi-structured interviews, enhanced by think aloud and diary methods, followed by thematic analysis, enhanced by elements of critical discourse analysis. While media literacy research has subordinated functional to critical digital literacy, my fieldwork revealed that the latter can only be sophisticated provided it relies on functional digital literacy. Furthermore, this study found that civic engagement, from reading news and discussing politics to campaigning, provides opportunities for learning digital literacy both informally through social interaction, information seeking and experience of using digital technologies, and formally through digital training. In turn, digital literacy facilitates civic engagement in ways that are instrumental, trustful and strategic. More specifically, digital literacy enables both experts and advocates to use digital technologies as practical tools for civic purposes. It enhances their trust in accredited media outlets while overcoming distrust in internet corporations. Finally, it enables them to strategically overcome bias, misinformation and their own privacy concerns as well as to navigate the internet’s civic potentials and limitations. On the basis of how experts and advocates understand the digital environment and engage in civic life, I argue that constructing both utopian and dystopian imaginaries of the internet, but deploying one or the other, makes civic engagement contradictory. By contrast, deploying utopian and dystopian imaginaries is crucial to pursuing civic opportunities online while overcoming the limitations of the digital environment.

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 52.11% of total population being female. 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 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

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.

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.

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.

Graph and download economic data for Market Hotness: Hotness Rank in Reading, PA (CBSA) (HORAYYMSA39740) from Aug 2018 to Jun 2025 about Reading, rank, PA, and USA.

About this dataset

Context

The dataset tabulates the data for the Reading, MI population pyramid, which represents the Reading population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Reading, MI, is 54.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Reading, MI, is 21.2.
• Total dependency ratio for Reading, MI is 75.2.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Reading, MI is 4.7.

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 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 for the selected age group is shown in the following column.
• Population (Female): The female population in the Reading for the selected age group is shown in the following column.
• Total Population: The total population of the Reading for the selected age group is shown in the following column.

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 tabulates the data for the Reading, New York population pyramid, which represents the Reading town population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Reading, New York, is 27.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Reading, New York, is 38.1.
• Total dependency ratio for Reading, New York is 65.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Reading, New York is 2.6.

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 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 for the selected age group is shown in the following column.
• Population (Female): The female population in the Reading town for the selected age group is shown in the following column.
• Total Population: The total population of the Reading town for the selected age group is shown in the following column.

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 Age. You can refer the same here