This dataset contains data that was used for Holland Stam's thesis work, titled Quantifying art historical narratives. The data was collected to assess the demographic representation of artists through editions of Janson's History of Art and Gardner's Art Through the Ages, two of the most popular art history textbooks used in the American education system. In this package specifically, both artist-level and work-level data was collected along with variables regarding the artists' demographics and numeric metrics for describing how much space they or their work took up in each edition of each textbook.

This package contains three datasets:

• worksjanson: Contains individual work-level data by edition of Gardner's art history textbook from 1963 until 2011. For each work, there is information about the size of the work and text as displayed in the textbook as well as details about the work's medium and year created. Demographic data about the artist is also included.

• worksgardner: Contains individual work-level data by edition of Gardner's art history textbook from 1926 until 2020. For each work, there is information about the size of the work as displayed in the textbook as well as the size of the accompanying descriptive text. Demographic data about the artist is also included.

• artists: Contains various information about artists by edition of Gardner or Janson's art history textbook from 1926 until 2020. Data includes demographic information, space occupied in the textbook, as well as presence in the MoMA and Whitney museums.

Acknowledging arthistory

Citation

Lemus S, Stam H (2022). arthistory: Art History Textbook Data. https://github.com/saralemus7/arthistory, https://saralemus7.github.io/arthistory/.

Examples of analyses are included in Holland Stam's thesis in Quarto files.

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

To obtain information on type and frequency of adult participation in the arts; training and exposure (particularly while young), and their musical and artistic activity preferences

According to a global study conducted in the first quarter of 2025, a lower share of affluent individuals aged over 40 years old had purchased art and collectibles in the past year compared to those aged 18 to 39. Overall, roughly ** percent of respondents older than 40 years bought art and collectibles, while around ** percent of those aged 18 to 39 did the same.

The 2020 Arts Basic Survey (ABS) was conducted by the U.S. Census Bureau as a supplement to the Current Population Survey (CPS). This data collection is comprised of responses from two sets of survey questionnaires, the basic CPS and a survey administered as a supplement to the February 2020 basic CPS questionnaire. The supplement, on the topic of public participation in the arts in the United States, was sponsored by the National Endowment for the Arts.The CPS, administered monthly, collects labor force data about the civilian noninstitutional population aged 15 years old or older living in the United States. Moreover, the CPS provides current estimates of the economic status and activities of this population which includes estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. The basic CPS data are provided on labor force activity for the week prior to the survey. In addition, CPS provides respondents' demographic characteristics such as age, sex, race, marital status, educational attainment, family relationship, occupation, and industry.The ABS captures data on American's participation in the arts through attendance at arts events and personal performance and creation of art. The respondent 18 years of age or older and his/her spouse as well as a second randomly selected person and his/her spouse/partner as applicable were asked the supplement questions. The 2020 ABS sample size was 34,995. Questions asked included the following: Do any leisure activities such as working with pottery, ceramics or jewelry, leatherwork, woodwork, or any weaving, crocheting, needlepoint, knitting, or sewing. Play a musical instrument. Perform any acting, dancing, or singing. Take part in any visual artistic activity or creative writing.

This dataset encompasses articles reviewing art exhibitions featured frequently in newspapers and magazines which cover arts and culture, matching with demographics of artists represented by top New York galleries.

This dataset builds on an existing dataset which captures artists’ demographics who are represented by top tier galleries in the 2016–2017 New York art season (Case-Leal, 2017, https://web.archive.org/web/20170617002654/http://www.havenforthedispossessed.org/) with a census of reviews and catalogs about those exhibitions to assess proportionality of media coverage across race and gender. The readme file explains variables, collection, relationship between the datasets, and an example of how the Case-Leal dataset was transformed. The ArticleDataset.csv provides all articles with citation information as well as artist, artistic identity characteristic, and gallery. The ExhibitionCatalog.csv provides exhibition catalog citation information for each identified artist. New in this V2: - In V1, ArticleDataset.csv had both data on the articles published and all of the exhibitions, which was misleading. In V2 I separated out so that ArticleDataset only has articles, and AllSoloShows has all shows, including those that had no articles written about them in the publications reviewed. - Upon closer review I noticed approximately 10 out of the 133 articles had incorrect information in variable "Publication content type: art or general" and/or "Publication Carrier type: web or library?" so I updated V2. - Upon closer review I noticed there was 3 instances of artists who had two solo shows apiece: in addition to Meleko Mokgosi and Carrie Mae Weems which I had already noted in V1, there was also Roxy Paine. I had not noticed this because only one of two of Paine's shows had been written about. This brings the total number of shows to 117 (which was 116 in V1). -Upon closer review I removed one row from ExhibitionCatalogs.csv, as the item i had listed did not meet the parameters.

We give the observed percentage of artists at each museum confidently inferred to have origin in the following regions: Africa; Asia and the Pacific; Europe; Latin America and the Caribbean; North America; and West Asia. These are the GEO3 regions utilized by the United Nations. We also give the average birth year of artists within the museum (based on their decade-rounded birth years). The table is arranged by collection mission groups determined through cluster analysis; see main text and Fig 1.

The estimated value of the global online art market rose in 2022 over the previous year, following a sharp increase experienced with the onset of the coronavirus (COVID-19) pandemic. In 2022, global online sales amounted to roughly **** billion U.S. dollars, rising from around **** billion U.S. dollars in 2021. By way of comparison, the value of the global art market was almost ** billion U.S. dollars in 2022.

Do consumers prefer buying art online or offline? According to a global survey of art buyers focusing on the favorite channels to purchase art, physical spaces were more popular than online marketplaces. In 2022, only ** percent of respondents mentioned online sales channels as their preferred buying experience. Meanwhile, nearly half of the sample did not express a particular preference.

What are the social media platforms most used by art buyers? A 2022 study on the social media platforms most used by art buyers worldwide showed that around ***** in *** respondents used Instagram for art-related purposes that year. By contrast, just ** percent of surveyed art buyers mentioned Facebook, and less than **** percent used TikTok.

Comprehensive demographic dataset for Meinzinger Art Colony, Florida Keys, FL, 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 Beaux Arts Village 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 Beaux Arts Village. The dataset can be utilized to understand the population distribution of Beaux Arts Village by age. For example, using this dataset, we can identify the largest age group in Beaux Arts Village.

Key observations

The largest age group in Beaux Arts Village, WA was for the group of age 50 to 54 years years with a population of 45 (15.31%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Beaux Arts Village, WA was the 65 to 69 years years with a population of 2 (0.68%). 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 Beaux Arts Village is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Beaux Arts Village 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 Beaux Arts Village Population by Age. You can refer the same here

Arts Center Business Statistics Form..............

The 2018 Arts Basic Survey (ABS) was conducted by the U.S. Census Bureau as a supplement to the Current Population Survey. This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a survey administered as a supplement to the February 2018 basic CPS questionnaire. The supplement, on the topic of public participation in the arts in the United States, was sponsored by the National Endowment for the Arts. The CPS, administered monthly, collects labor force data about the civilian noninstitutional population aged 15 years old or older living in the United States. Moreover, the CPS provides current estimates of the economic status and activities of this population which includes estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. The basic CPS data are provided on labor force activity for the week prior to the survey. In addition, CPS provides respondents' demographic characteristics such as age, sex, race, marital status, educational attainment, family relationship, occupation, and industry. The ABS captures data on American's participation in the arts through personal performance and creation. Examples include the share of adults who: play a musical instrument; perform or practice singing, dance, or acting; take photographs for artistic purposes; and engage in textile arts such as knitting, crocheting, or embroidery. Questions were also asked about the use of pottery, ceramics, jewelry, leatherwork, metalwork and woodwork. The 2018 ABS sample size was 18,116.

According to an annual study focusing on the use of social media platforms for art-related purposes, Facebook has gradually lost ground to Instagram since 2016. While roughly ** percent of surveyed art buyers worldwide reported using Instagram for art-related purposes in 2022, only ** percent said to rely on Facebook for the same reason.

For each museum, we give the observed percentage of the demographic (gender, ethnicity) as well as a confidence interval for the true proportion. The colored cells indicate that a museum’s proportion differs significantly from the overall proportion (excluding that museum) at the familywise 5% significance level. For each demographic, the 18 confidence intervals are multiplicity adjusted via Bonferroni so that the simultaneous coverage probability is 95%. Similarly, the underlying p-values for the tests comparing proportions are also multiplicity adjusted via Bonferroni to control the familywise error rate at 5%.

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

ABS collects information about individual attendance and involvement in the arts and cultural activity.

Ultra-Contemporary Art Market Outlook

According to our latest research, the global ultra-contemporary art market size reached $2.8 billion in 2024, reflecting a robust expansion driven by evolving collector demographics and digital transformation in the art world. The market is projected to grow at a CAGR of 10.6% from 2025 to 2033, culminating in a forecasted value of approximately $7.1 billion by 2033. Key growth factors include the increasing participation of younger collectors, the proliferation of digital art forms, and the rapid adoption of online sales channels. As per our latest research, the ultra-contemporary art market is positioned at the intersection of technology, culture, and investment, making it one of the most dynamic segments within the global art industry.

The ultra-contemporary art market is experiencing significant growth due to a generational shift in art collectors. Millennials and Gen Z, who now represent a substantial portion of new buyers, are actively seeking innovative and non-traditional art forms. This demographic is drawn to ultra-contemporary art for its relevance to current social, political, and technological themes. The rise of digital platforms and social media has further democratized access to art, enabling emerging artists to reach a global audience and buyers to discover works outside traditional gallery spaces. This shift is fostering greater inclusivity and diversity, both in the types of art being produced and in the profiles of artists gaining recognition. As a result, the market is not only growing in size but also in cultural significance, as it mirrors broader societal changes.

Another critical growth factor for the ultra-contemporary art market is the integration of technology across all levels of the value chain. The digitalization of art sales, particularly through online platforms and virtual auctions, has lowered barriers to entry for both artists and collectors. Blockchain technology is also being leveraged for authentication and provenance tracking, enhancing buyer confidence and reducing fraud. Additionally, the emergence of digital art forms, such as NFTs (non-fungible tokens), is reshaping the concept of ownership and value in the art world. These technological advancements are not only expanding the market geographically but also attracting tech-savvy investors who view art as a viable alternative asset class. The convergence of art and technology is expected to drive sustained growth and innovation in the coming years.

Institutional interest in ultra-contemporary art is another powerful driver. Museums, corporate buyers, and investment funds are increasingly allocating resources to acquire works from emerging artists, recognizing the potential for both cultural impact and financial return. This institutional engagement is raising the profile of ultra-contemporary art, providing artists with greater visibility and access to resources. Furthermore, the growing number of art fairs and international exhibitions dedicated to this segment is facilitating cross-border collaborations and cultural exchange. These events serve as critical platforms for networking, education, and market development, further solidifying the position of ultra-contemporary art as a key growth area within the broader art market.

From a regional perspective, North America and Europe continue to dominate the ultra-contemporary art market, accounting for a combined share of over 60% in 2024. However, the Asia Pacific region is emerging as a significant growth engine, driven by rising affluence, expanding cultural infrastructure, and a strong appetite for contemporary art among younger buyers. China, in particular, has established itself as a key market for both artists and collectors, with major cities such as Beijing and Shanghai hosting high-profile exhibitions and auctions. Meanwhile, Latin America and the Middle East & Africa are also witnessing steady growth, supported by government initiatives and increasing participation in the global art ecosystem. The regional outlook for the ultra-contemporary art market remains highly positive, with significant opportunities for expansion and innovation in both established and emerging markets.

Art Form Analysis

The segmentation of the ultra-contemporary art market by art form reveals a dynamic landscape shaped by evolving tastes and technological advancements. Painting remains the most dominant art form, accounting for approximately

About this dataset

Context

The dataset tabulates the data for the Beaux Arts Village, WA population pyramid, which represents the Beaux Arts Village population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 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 Beaux Arts Village, WA, is 21.8.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Beaux Arts Village, WA, is 20.1.
• Total dependency ratio for Beaux Arts Village, WA is 41.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Beaux Arts Village, WA is 5.0.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Beaux Arts Village population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Beaux Arts Village for the selected age group is shown in the following column.
• Population (Female): The female population in the Beaux Arts Village for the selected age group is shown in the following column.
• Total Population: The total population of the Beaux Arts Village 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 Beaux Arts Village Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Beaux Arts Village population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Beaux Arts Village.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• Beaux Arts Village, WA Population Breakdown by Race
• Beaux Arts Village, WA Non-Hispanic Population Breakdown by Race
• Beaux Arts Village, WA Hispanic or Latino Population Distribution by Their Ancestries

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/.