About this dataset

Context

The dataset tabulates the Magazine 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 Magazine. The dataset can be utilized to understand the population distribution of Magazine by age. For example, using this dataset, we can identify the largest age group in Magazine.

Key observations

The largest age group in Magazine, AR was for the group of age 35 to 39 years years with a population of 110 (11.35%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Magazine, AR was the 85 years and over years with a population of 11 (1.14%). 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 Magazine is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Magazine 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 Magazine Population by Age. You can refer the same here

According to a survey held in fall 2019, the median household income among print magazine readers is lower than among adults who read magazines via the publication's website, social networking site, or blog. Ten percent more women than men were print magazine readers, and the median age of magazine readers was highest among those who read print.

Vanity Fair magazine had an average monthly reach of around 2.7 million individuals in the United Kingdom from April 2019 to March 2020. Reach was higher among women, with 1.7 million women reached by the print title or its website during this period.

This statistic shows the print and digital reach of Take a Break magazine in Great Britain from April 2019 to March 2020, by demographic group. Reach was higher among women than men, with roughly 1.6 million women reached by the print title or its website.

The print and digital reach of Elle magazine in the United Kingdom from April 2019 to March 2020 was higher among women than men, with 1.2 million women having been reached by the print title or its website. The magazine reached more adults aged 35 years or older than it did adults aged 15 to 35 years.

The decline of print

Print magazines have seen a drop in popularity in recent years, as an increasing number of readers makes the switch to digital sources. As a result of this, advertisers have shifted their focus away from the medium with the revenue for print magazine advertising in the United Kingdom on the decline since 2011, dropping nearly by half during this period. In fact, it is forecast that the internet will comprise over half of global advertising spending in 2021, with magazines making up a mere 3 percent.

Women’s magazines in digital format 

In the previous year, only slightly more than 314 thousand print copies of Elle magazine were sold, demonstrating a clear audience preference for the online version. Despite more and more readers turning towards digital as their format of choice, a survey conducted in 2019 demonstrated that women’s lifestyle and fashion magazines were not among the top purchases of UK respondents who had bought e-magazines. Only Vogue and Women’s Health Mag featured on a list citing other digital publications such as Men’s Health, The Economist and Time as top sellers.

About this dataset

Context

The dataset tabulates the Magazine population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of Magazine.

Content

The dataset constitues the following two datasets across these two themes

• Magazine, AR Population Breakdown by Gender
• Magazine, AR Population Breakdown by Gender and Age

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/.

About this dataset

Context

The dataset tabulates the population of Magazine by race. It includes the population of Magazine across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Magazine across relevant racial categories.

Key observations

The percent distribution of Magazine population by race (across all racial categories recognized by the U.S. Census Bureau): 98.21% are white, 0.45% are Black or African American and 1.34% are multiracial.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Magazine
• Population: The population of the racial category (excluding ethnicity) in the Magazine is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Magazine 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 Magazine Population by Race & Ethnicity. You can refer the same here

Hello! magazine had an average monthly reach of around 15.4 million adults in the United Kingdom from April 2019 to March 2020. Hello! had a significantly higher female readership than male readership; about ten million women read Hello! magazine compared to 5.3 million males each month.

This data relates to the contributorship and readership of Lillian Smith and Paula Snelling's little magazine South Today (1936-1945). The four data sets document the demographics of South Today's Contributors; Authors of published texts cited, excerpted, mentioned or reviewed in the magazine; Reader Forum Respondents; and 1944-1945 Subscribers.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Magazine by race. It includes the distribution of the Non-Hispanic population of Magazine across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Magazine across relevant racial categories.

Key observations

Of the Non-Hispanic population in Magazine, the largest racial group is White alone with a population of 927 (96.46% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Magazine
• Population: The population of the racial category (for Non-Hispanic) in the Magazine is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Magazine total Non-Hispanic 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 Magazine Population by Race & Ethnicity. You can refer the same here

People magazine had the largest audience in the United States in the second quarter of 2024, with an average monthly reach of 94.5 million people. AARP The Magazine ranked second with a reach of just under 56.5 million, followed by Allrecipies with a total audience of just over 50 million.

About this dataset

Context

The dataset tabulates the Magazine household income by age. The dataset can be utilized to understand the age-based income distribution of Magazine income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Magazine, AR annual median income by age groups dataset (in 2022 inflation-adjusted dollars)
• Age-wise distribution of Magazine, AR household incomes: Comparative analysis across 16 income brackets

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Magazine income distribution by age. You can refer the same here

Woman & Home magazine had an average monthly reach of 954 thousand individuals in Great Britain from April 2019 to March 2020. Reach was higher among women, with over 800 thousand women reached by the print title or its website during this period.

Hello! magazine had an average monthly reach of around 2.2 million adults in Great Britain from April 2019 to March 2020. Reach was higher among women than men, with just over 1.6 million women reached by the print title or its website.

About this dataset

Context

The dataset presents the median household income across different racial categories in Magazine. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Magazine population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 98.21% of the total residents in Magazine. Notably, the median household income for White households is $49,792. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $49,792.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Magazine.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

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 Magazine median household income by race. You can refer the same here

About this dataset

Context

The dataset tabulates the Magazine Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Magazine, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Magazine.

Key observations

Among the Hispanic population in Magazine, regardless of the race, the largest group is of Mexican origin, with a population of 5 (100% of the total Hispanic population).

https://i.neilsberg.com/ch/magazine-ar-population-by-race-and-ethnicity.jpeg" alt="Magazine Non-Hispanic population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Origin for Hispanic or Latino population include:

• Mexican
• Black or African American
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the Magazine
• Population: The population of the specific origin for Hispanic or Latino population in the Magazine is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Magazine total Hispanic or Latino 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 Magazine Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Magazine Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Magazine, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Magazine.

Key observations

Among the Hispanic population in Magazine, regardless of the race, the largest group is of Mexican origin, with a population of 16 (100% of the total Hispanic population).

Content

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

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the Magazine
• Population: The population of the specific origin for Hispanic or Latino population in the Magazine is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Magazine total Hispanic or Latino 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 Magazine Population by Race & Ethnicity. You can refer the same here

The data presented here consists of three parts: Dataset 1: In this set, we extract 327,322 faces from our entire collection of 3389 issues, and automatically classified each face as male or female. We present this data as a single table with columns identifying the date, issue, page number, the coordinates identifying the position of the face on the page, and classification (male or female). The coordinates identifying the position of the face on the page are based on the size and resolution of the pages found in the “Time Vault”. Dataset 2: Dataset 2 consists of 8,789 classified faces from 100 selected issues. Human labor was used to identify and extract 3,299 face images from 39 issues, which were later classified by another set of workers. This selection of 39 issues contains one issue per decade spanned by the archive plus one issue per year between 1961 and 1991, and the extracted face images were used to train the face extraction algorithm. The remaining 5,490 faces from 61 issues were extracted via machine learning before being classified by human coders. These 61 issues were chosen to complement the first selection of 39 issues: one issue per year for all years in the archive excluding those between 1961 and 1991. Thus, Dataset 2 contains fully-labelled faces from at least one issue per year. Dataset 3: In the interest of transparency, Dataset 3 consists of the raw data collected to create Dataset 2, and consists of 2 tables. Before explaining these tables we first briefly describe our data collection and verification procedures, which have been fully described elsewhere. A custom AMT interface was used to enable human labors to classify faces according the categories in Table 4. Each worker was given a randomly-selected batch of 25 pages, each with a clearly highlighted face to be categorized, of which three pages were verification pages with known features, which were used for quality control. Each face was labeled by two distinct human coders, determined at random so that the paring of coders varied with the image. A proficiency rating was calculated for each coder by considering all images they annotated and computing the average number of labels that matched those identified by the image’s other coder. The tables in Dataset 2 were created by resolving inconsistencies between the two image coders by selecting the labels from the coder with the highest proficiency rating. Prior to calculating the proficiency score, all faces that were tagged as having ‘Poor’ or ‘Error’ image quality by either of the two coders were eliminated. Due to technical bugs when the AMT interface was first implemented, a small number of images were only labeled once; these were also eliminated from Datasets 2 and 3. In Dataset 3, we present the raw annotations for each coder that tagged each face, along with demographic data for each coder. Dataset 3 consists of two tables: the raw data from each of the two sets of coders, and the demographic information for each of the coders.

Empire magazine had an average monthly reach of around eight thousand individuals in the United Kingdom from April 2019 to March 2020. Reach was higher among older readers, with around five thousand in the age bracket over 35 reached by the print title or its website during this period.

Empire is a British film magazine offering reviews on both mainstream, cinematic productions and art-house films. The front cover of each issue depicts a classic scene from a notable movie, with past issues featuring scenes from Star Wars, Harry Potter, the Matrix and Batman. The publication is not limited to movies, with each issue featuring TV show reviews, game reviews, set reports and special features.