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

Book readers in the U.S.

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

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

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

A survey examining book readership in the United States as of February 2021 showed that ** percent of 18-to-29-year-olds had read a print book in the last year. The share was slightly lower among older adults, though more than ** percent of respondents in each age group reported having read at least one printed book in the 12 months leading to the survey.

About this dataset

Context

The dataset tabulates the Reading 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 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 was 1,085, a 0.37% decrease year-by-year from 2022. Previously, in 2022, Reading population was 1,089, a decline of 0.18% compared to a population of 1,091 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Reading decreased by 46. In this period, the peak population was 1,131 in the year 2000. 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 is shown in this column.
• Year on Year Change: This column displays the change in Reading 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 Population by Year. You can refer the same here

Comprehensive demographic dataset for Reading, PA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

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 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 8,045 (8.48%), according to the ACS 2019-2023 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 1,026 (1.08%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Reading is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Reading total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Reading Population by Age. You can refer the same here

This statistic illustrates the share of readers of the Wall Street Journal in the past 2 weeks in the United States. As of September 2024, ** percent of 18 - 29 year old consumers do so in the U.S. This is according to exclusive results from the Consumer Insights Global survey which shows that ** percent of 30 - 49 year old customers also fall into this category.Statista Consumer Insights offer you all results of our exclusive Statista surveys, based on more than ********* interviews.

A survey held in 2021 found that ** percent of non-Hispanic Black respondents had read at least one book in the previous 12 months, up from ** percent who said the same during the 2019 study. Non-Hispanic White adults were the most likely group to have read a print or digital book in the last year.

Audience Measurement Systems Market Outlook

The global audience measurement systems market size was valued at approximately USD 2.8 billion in 2023 and is expected to reach USD 5.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.1% during the forecast period. This growth is driven by the increasing need for precise data analytics and insights in the media and entertainment industry, which are essential for making informed decisions and targeting audiences effectively.

One of the primary growth factors for the audience measurement systems market is the exponential rise in digital media consumption. As more consumers shift towards digital platforms for entertainment and information, there is a growing need for advanced measurement tools that can accurately capture audience behavior across various devices and channels. This transition from traditional to digital media necessitates more sophisticated and real-time analytics solutions, thus fostering market growth. Additionally, the increasing penetration of smartphones and high-speed internet has augmented the consumption of digital content, further propelling the demand for audience measurement systems.

Another significant growth driver is the burgeoning advertising industry, which relies heavily on accurate audience measurement to optimize ad placements and enhance ROI. Advertisers and media agencies need detailed insights into audience demographics, preferences, and engagement levels to tailor their campaigns effectively. This requires robust audience measurement systems that can provide granular data and actionable insights, thus boosting their adoption. Moreover, the growing trend of personalized advertising, driven by advancements in data analytics and artificial intelligence, is also contributing to the market expansion.

The increase in regulatory requirements regarding transparency and accountability in media ratings is also stimulating market growth. Governments and regulatory bodies across various regions are mandating the use of reliable and transparent measurement systems to ensure fair competition and accuracy in audience ratings. This regulatory push is compelling media companies to adopt advanced measurement solutions that comply with industry standards, thereby driving the market. Furthermore, the integration of advanced technologies such as AI, machine learning, and big data analytics in audience measurement systems is enhancing their capabilities, making them more reliable and efficient.

From a regional perspective, North America holds a dominant position in the audience measurement systems market, primarily due to the presence of major media companies and advanced technological infrastructure. The region's early adoption of digital technologies and high expenditure on advertising are significant factors contributing to its market leadership. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by the rapid digitization of media and increasing internet penetration. The growing middle-class population and rising disposable income in countries like China and India are also augmenting the demand for media content, thereby boosting the need for audience measurement systems.

Component Analysis

In the audience measurement systems market, the component segment is divided into software, hardware, and services. The software segment holds the largest market share, driven by the increasing demand for advanced analytics tools and platforms that can provide real-time insights into audience behavior. These software solutions are designed to handle large volumes of data, offering features like data visualization, predictive analytics, and automated reporting. The integration of AI and machine learning in these software solutions further enhances their capabilities, allowing for more accurate and sophisticated audience measurement.

The hardware segment, although smaller in comparison to software, is also experiencing steady growth. This includes devices and sensors used for audience data collection, such as set-top boxes, smart TVs, and mobile devices. The proliferation of connected devices and advancements in IoT technology are driving the demand for hardware components in audience measurement systems. These devices provide valuable data on audience interactions and behavior, which can be analyzed to gain deeper insights into consumer preferences and engagement levels.

The services segment encompasses a range of offerings, including consulting, implementation, and maintenance services.

Graph and download economic data for Resident Population in Reading, PA (MSA) (RDGPOP) from 2000 to 2024 about Reading, PA, residents, population, and USA.

The Progress in International Reading Literacy Study, 2011 (PIRLS 2011), is part of the Progress in International Reading Literacy Study (PIRLS) program. PIRLS 2011 (https://nces.ed.gov/surveys/pirls/) is a cross-sectional study that provides international comparative information of the reading literacy of fourth-grade students and examines factors that may be associated with the acquisition of reading literacy in young students. The study was conducted using questionnaires and direct assessments of fourth-grade students. In the United States a total of 370 schools and 12,726 fourth-grade students participated in 2011. The final weighted student response rate was 96 percent and the final weighted school response rate was 85 percent. The overall weighted response rate was 81 percent. Key statistics produced from PIRLS 2011 are how well fourth-grade students read, how students in one country compare with students in another country, how much fourth-grade students value and enjoy reading, and internationally, how the reading habits and attitudes of students vary.

At Factori, we gather various data sets from leading publishers, data platforms, online services, and data aggregators globally, linked to consumers, places, and businesses. We combine this data with public and private sources to derive interests, intent, and behavioral attributes. Our proprietary algorithms clean, enrich, unify, and aggregate these data sets for use in our products. We categorize our audience data into consumable categories such as interest, demographics, behavior, geography, etc.

Comprehensive demographic dataset for Shillington, Reading, PA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

About this dataset

Context

The dataset tabulates the Reading population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Reading. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 6,635 (63.25% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Reading population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Reading is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Reading 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

Our People data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.

Our comprehensive data enrichment solution includes a variety of data sets that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences.

1. Geography - City, State, ZIP, County, CBSA, Census Tract, etc.
2. Demographics - Gender, Age Group, Marital Status, Language etc.
3. Financial - Income Range, Credit Rating Range, Credit Type, Net worth Range, etc
4. Persona - Consumer type, Communication preferences, Family type, etc
5. Interests - Content, Brands, Shopping, Hobbies, Lifestyle etc.
6. Household - Number of Children, Number of Adults, IP Address, etc.
7. Behaviours - Brand Affinity, App Usage, Web Browsing etc.
8. Firmographics - Industry, Company, Occupation, Revenue, etc
9. Retail Purchase - Store, Category, Brand, SKU, Quantity, Price etc.
10. Auto - Car Make, Model, Type, Year, etc.
11. Housing - Home type, Home value, Renter/Owner, Year Built etc.

People Data Schema & Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:

Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly).

People Data Use Cases:

360-Degree Customer View: Get a comprehensive image of customers by the means of internal and external data aggregation.

Data Enrichment: Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment

Fraud Detection: Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity.

Advertising & Marketing: Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.

Using Factori People Data you can solve use cases like:

Acquisition Marketing Expand your reach to new users and customers using lookalike modeling with your first party audiences to extend to other potential consumers with similar traits and attributes.

Lookalike Modeling

Build lookalike audience segments using your first party audiences as a seed to extend your reach for running marketing campaigns to acquire new users or customers

And also, CRM Data Enrichment, Consumer Data Enrichment B2B Data Enrichment B2C Data Enrichment Customer Acquisition Audience Segmentation 360-Degree Customer View Consumer Profiling Consumer Behaviour Data

Here's the schema of People Data: person_id first_name last_name age gender linkedin_url twitter_url facebook_url city state address zip zip4 country delivery_point_bar_code carrier_route walk_seuqence_code fips_state_code fips_country_code country_name latitude longtiude address_type metropolitan_statistical_area core_based+statistical_area census_tract census_block_group census_block primary_address pre_address streer post_address address_suffix address_secondline address_abrev census_median_home_value home_market_value property_build+year property_with_ac property_with_pool property_with_water property_with_sewer general_home_value property_fuel_type year month household_id Census_median_household_income household_size marital_status length+of_residence number_of_kids pre_school_kids single_parents working_women_in_house_hold homeowner children adults generations net_worth education_level occupation education_history credit_lines credit_card_user newly_issued_credit_card_user credit_range_new
credit_cards loan_to_value mortgage_loan2_amount mortgage_loan_type
mortgage_loan2_type mortgage_lender_code
mortgage_loan2_render_code
mortgage_lender mortgage_loan2_lender
mortgage_loan2_ratetype mortgage_rate
mortgage_loan2_rate donor investor interest buyer hobby personal_email work_email devices phone employee_title employee_department employee_job_function skills recent_job_change company_id company_name company_description technologies_used office_address office_city office_country office_state office_zip5 office_zip4 office_carrier_route office_latitude office_longitude office_cbsa_code
office_census_block_group
office_census_tract office_county_code
company_phone
company_credit_score
company_csa_code
company_dpbc
company_franchiseflag
company_facebookurl company_linkedinurl company_twitterurl
company_website company_fortune_rank
company_government_type company_headquarters_branch company_home_business
company_industry
company_num_pcs_used
company_num_employees
company_firm_individual company_msa company_msa_name
company_naics_code
company_naics_description
company_naics_code2 company_naics_description2
company_sic_code2
company_sic_code2_description
company_sic...

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 218 (13%), according to the ACS 2019-2023 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 33 (1.97%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

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

Online Book Reading Platforms Market Outlook

The global online book reading platforms market size was valued at approximately USD 3.5 billion in 2023 and is expected to grow to an impressive USD 11.2 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 13.6% during the forecast period. This explosive growth is driven by the increasing adoption of digital content consumption, technological advancements in reading devices, and a significant shift in consumer reading habits towards online platforms. The rising accessibility and affordability of the internet worldwide have also been instrumental in facilitating the expansion of this market.

One of the primary growth factors contributing to the rapid expansion of the online book reading platforms market is the proliferation of smartphones and other portable digital devices. With millions of individuals now owning smartphones and tablets, access to online book reading platforms has never been easier. This convenience factor, coupled with the increasing availability of internet services, allows users to download and read books anytime and anywhere, thereby driving the market's growth. The trend of on-the-go reading has become particularly popular among younger demographics, who prefer digital formats for their ease and portability.

Furthermore, the increasing awareness and preference for environmental sustainability have led more readers to opt for digital books over traditional printed ones. The shift towards e-books helps in reducing paper consumption, which aligns with global efforts to promote environmentally friendly practices. Publishers are also recognizing the cost-efficiency of digital formats, which require no physical production or distribution, thereby reducing overhead costs and increasing profit margins. This economic advantage is encouraging more publishers to invest in and develop their digital offerings, thus propelling market growth.

Another significant factor driving market growth is the expansion of the educational sector’s adoption of digital learning resources. Educational institutions globally are increasingly incorporating e-books and online reading platforms into their curricula. This trend has been accelerated by the COVID-19 pandemic, which necessitated a swift shift to online learning. E-books offer a flexible and interactive way for students to access a wide range of learning materials. Additionally, the availability of various educational apps and platforms that integrate with e-book libraries enhances the learning experience, thereby boosting the market for online book reading platforms.

From a regional perspective, North America currently holds the largest market share, driven by high internet penetration rates, advanced technological infrastructure, and a high level of digital literacy among the population. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, propelled by the increasing adoption of smartphones, rising internet penetration, and growing disposable incomes. Countries like China and India are leading this growth due to their large populations and rapidly expanding middle class, who are increasingly turning to digital content for entertainment and education.

Type Analysis

The online book reading platforms market can be segmented by type into subscription-based, pay-per-book, and free with ads. The subscription-based model has gained significant traction due to its predictable revenue stream and ability to provide users with unlimited access to a vast library of books for a fixed monthly fee. This model appeals particularly to avid readers who consume multiple books per month, offering them considerable cost savings compared to purchasing individual books. Additionally, subscription platforms often include features like personalized recommendations and offline reading, enhancing the user experience.

The pay-per-book model remains popular among casual readers who prefer to purchase books on a need-to-read basis rather than committing to a monthly subscription. This model allows users to buy and own specific titles, providing a sense of ownership and the ability to reread books at their convenience. It is particularly favored for the purchase of specific genres or high-demand new releases. Authors and publishers also benefit from this model as they receive direct revenue from book sales, making it an attractive option for self-publishing.

Reading West, Woking demographics statistics broken down by ethnicity, religion, age, birthplace and much more. View full insights for the local and surrounding households.