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 2024, about 90.91 percent of men and a little less than 88.8 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.

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 December of 2025.

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, OH was for the group of age 55 to 59 years years with a population of 990 (9.40%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Reading, OH was the 80 to 84 years years with a population of 179 (1.70%). 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 population of Reading by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Reading. The dataset can be utilized to understand the population distribution of Reading by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Reading. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Reading.

Key observations

Largest age group (population): Male # 0-4 years (94) | Female # 5-9 years (85). 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

This dataset tracks annual reading and language arts proficiency from 2018 to 2022 for American Leadership Academy Gilbert South K-6 vs. Arizona and American Leadership Academy Inc. (4348) School District

This dataset tracks annual reading and language arts proficiency from 2018 to 2022 for American Leadership Academy-coastal vs. North Carolina and American Leadership Academy-Coastal School District

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.

In the United States in 2024, Asian Americans spent an average of **** minutes reading per day. White readers spent the most time with books each day, whereas Hispanic Americans read for just *** minutes on average.

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

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

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 $53,811, followed by those in the 25 to 44 years age group with an income of $46,989. Meanwhile householders within the under 25 years age group report the second lowest median household income of $36,989. Notably, householders within the 65 years and over age group, had the lowest median household income at $30,919.

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

Private schools have struggled to maintain enrollment and revenue as the population of children in the K-12 age range evaporates. The Federal Reserve Bank of Dallas and the International Monetary Fund report that the fertility rate has continued to plunge further below replacement levels, and the National Center for Health Statistics reports a drop of over 100,000 births per year since 2020. This demographic shift has led to fewer children entering the K-12 age range and smaller graduating classes. Immigration helps reduce low birth rates' impact on the US population, but less than a tenth of immigrating students attend private K-12 schools. Ultimately, the National Center for Education Statistics projects a drop in private school enrollment from 6.0 million in 2020 to 5.5 million by 2025. Charter schools have presented fierce competition, and public school enrollment has slumped by just 2.3% since 2020, compared to an 8.2% drop in private school enrollment. To mitigate these challenges, many private schools have increased tuition fees, though some families have been unable to afford the higher costs. Revenue has been sinking at a CAGR of 1.4% to an estimated $79.5 billion over the five years through 2025, including an expected 0.7% decline in 2025 alone. Despite persistent population-related issues, expanding government assistance is beginning to turn things around for private schools. States have increasingly embraced school choice programs, which allow parents to use public funds for private education. These programs have begun to crop up faster than ever, with 15 of the nation's 24 school choice programs enacted in the past five years. The push to promote private education ultimately led to the first-ever federal school choice program, passed in the One Big Beautiful Bill Act in July 2025. However, this assistance is optional for states to participate and will largely remain limited to states that already maintain school choice initiatives. The number of K-12 age students will continue dropping, but government assistance and growing incomes will help stave off further dips in revenue. Larger, well-established private schools may better navigate challenges by balancing tuition hikes with financial aid offerings targeted at higher-income families, slightly lifting profit. To stay competitive with charter and public alternatives, private schools might offer more personalized educational experiences. By leveraging potential government support and adjusting their strategies, private schools will buoy revenue amid persisting headwinds. Revenue is set to swell at a CAGR of 0.3% and to an estimated $80.7 billion by the end of 2030.

About this dataset

Context

The dataset tabulates the data for the Reading, KS 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, KS, is 18.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Reading, KS, is 31.4.
• Total dependency ratio for Reading, KS is 49.5.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Reading, KS is 3.2.

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

Snapshot img { margin: 10px !important; } Below are some of the key findings from the higher education learning analytics market research report in the US

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Higher education learning analytics market overview in the US

The increased use of learning analytics for improving student retention and university graduation rates is one of the key factors expected to trigger the market’s growth in the forthcoming years. These software solutions often provide data about students and their learning methods. The learning analytics solutions also help higher education institutions for reducing the rate of student attrition. As a result, the increasing focus of higher education institutions on reducing the student attrition will boost the higher education learning analytics market to register a CAGR of over 27% during the forecast period.

The advent of BYOD is a crucial trend likely to foster the higher education learning analytics market growth in the forthcoming years. This policy is favorable for several students as it improves technological literacy among the students while eliminating the lack of a learning curve. Also, the deployment of learning analytics software solutions with several mobile devices will allow the faculty members to monitor student performance instantly. Consequently, with the rising awareness of several benefits of implementing the BYOD policy, the demand for higher education learning analytics solution will surge in the US during the next few years.

Top higher education learning analytics companies covered in this market research report

The higher education learning analytics market in the US is moderately fragmented with companies focusing on offering robust learning analytics solutions for catering the evolving end-user requirements. By providing a complete analysis of the market’s competitive landscape and with information on the products offered by the companies, this market research report will aid clients to identify new growth opportunities and design innovative strategies for strengthening their position in the market.

The report offers a complete analysis of various companies including:

Blackboard
D2L
Microsoft
Oracle
Pearson

Higher education learning analytics market segmentation in the US based on technology

On-premises
Cloud

With a comprehensive study of the growth opportunities for the companies, the on-premises technology segment will account for the highest higher education learning analytics market revenue throughout the forecast period. The cloud-based segment, however, will contribute the fastest growth in the market due to the flexibility of deployments on the cloud and their low installation and maintenance costs.

Higher education learning analytics market segmentation in the US based on application

Performance management
Curriculum design
Institutional management
Personalization

The performance management application segment will account for the highest education learning analytics market growth due to the increasing number of several higher educational institutions deploying learning analytics software solutions for performance management. Additionally, the report also provides an accurate prediction of the contribution of the various application segments to the growth of the higher education learning analytics market size in the US.

Key highlights of the global higher education learning analytics market in the US for the forecast years 2018-2022:

CAGR of the market during the forecast period 2018-2022
Detailed information on factors that will accelerate the growth of the higher education learning analytics market during the next five years
Precise estimation of the global higher education learning analytics market size and its contribution to the parent market
Accurate predictions on upcoming trends and changes in consumer behavior
A thorough analysis of the market’s competitive landscape and detailed information on several vendors
Comprehensive details on the factors that will challenge the growth of higher education learning analytics companies in the US

We can help! Our analysts can customize this market research report to meet your requirements. Get in touch

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 age. According to the most recent data, ** percent of respondents aged 18 to 24 did not read any books in 2018, and ** percent had read *** to *** books during that year.

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 # 30-34 years (446) | Female # 55-59 years (655). 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

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