Please note that this version of the data collection does not contain the complete technical documentation. An update to this collection including the complete technical documentation will be made available in Fall 2018. The Survey of Public Participation in the Arts (SPPA) 2017 collection is comprised of responses from two sets of surveys, the Current Population Survey (CPS) and the SPPA supplement to the CPS administered in July 2017. This supplement asked questions about public participation in the arts within the United States, and was sponsored by the National Endowment for the Arts. The CPS, administered monthly by the U.S. Census Bureau, collects labor force data about the civilian, noninstitutionalized population aged 15 years or older living in the United States. 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, unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. The basic CPS items in this data provide labor force activity for the week prior to the survey. In addition, the CPS provides respondents' demographic characteristics such as age, sex, race, marital status, educational attainment, family relationships, occupation, and industry. In addition to the basic CPS questions, interviewers asked supplementary questions on public participation in the arts of two randomly selected household members aged 18 or older from about one-half of the sampled CPS households. The supplement contained questions about the respondent's participation in various artistic activities over the last year. If the selected respondent had a spouse or partner, then the respondent answered questions on behalf of their spouse/partner and the spouse/partner responses are proxies. The 2017 SPPA included two core components: a questionnaire used in previous years to ask about arts attendance and literary reading, and a newer survey about arts attendance, venues visited, and motivations for attending art events. In addition, the SPPA supplement included five modules designed to capture other types of arts participation as well as participation in other leisure activities. Questions included items on the frequency of participation, types of artistic activities, training and exposure, musical and artistic preferences, school-age socialization, and computer and device usage related to the arts. The five modules were separated by topic: Module A: Consuming Art via Electronic Media Module B: Performing Art Module C: Creating Visual Art and Writing Module D: Other Leisure Activities Module E: Arts Education, and Arts Access and Opportunity Respondents were randomly assigned to either of the core questionnaires, and were then randomly assigned to two of the five additional modules so that each module was administered to a portion of the sampled cases.

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.

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.

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

The American Community Survey (ACS), conducted by the U.S. Census Bureau, replaced the long form of the decennial census in 2000. The ACS allows researchers, policy makers, and others access to timely information about the U.S. population to make decisions about infrastructure and distribution of federal funds. The monthly survey is sent to a sample of approximately 3.5 million U.S. addresses, including the District of Columbia and Puerto Rico. The ACS includes questions on topics not included in the decennial census, such as those about occupations and employment, education, and key areas of infrastructure like internet access and transportation. When studying large geographic areas, such as states, researchers can use a single year's worth of ACS data to create population-level estimates. However, the study of smaller groups of the population, such as those employed in arts-related fields, requires additional data for more accurate estimation. Specifically, researchers often use 5-year increments of ACS data to draw conclusions about smaller geographies or slices of the population. Note, the Census Bureau produced 3-year estimates between 2005 and 2013 (resulting in seven files: 2005-2007, 2006-2008, 2007-2009, . . . 2011-2013), which remain available but no additional 3-year estimate files have been created. Individuals wishing to describe people working in occupations related to the arts or culture should plan to use at least five years' worth of data to generate precise estimates. When selecting data from the U.S. Census Bureau or IPUMS USA, users should select data collected over 60 months, such as 2020-2024. NADAC's Guide to Creating Artist Extracts and Special Tabulations of Artists from the American Community Survey provides information about the occupation codes used to identify artists.

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.

The statistic shows the share of art collectors in the United States as of *************, by gender. According to the survey, ** percent of art collectors in the U.S. are female.

About this dataset

Context

The dataset tabulates the Beaux Arts Village population by age. The dataset can be utilized to understand the age distribution and demographics of Beaux Arts Village.

Content

The dataset constitues the following three datasets

• Beaux Arts Village, WA Age Group Population Dataset: A complete breakdown of Beaux Arts Village age demographics from 0 to 85 years, distributed across 18 age groups
• Beaux Arts Village, WA Age Cohorts Dataset: Children, Working Adults, and Seniors in Beaux Arts Village - Population and Percentage Analysis
• Beaux Arts Village, WA Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

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

Key observations

The percent distribution of Beaux Arts Village population by race (across all racial categories recognized by the U.S. Census Bureau): 84.01% are white, 0.68% are Black or African American, 6.12% are Asian and 9.18% 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 Beaux Arts Village
• Population: The population of the racial category (excluding ethnicity) in the Beaux Arts Village is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race 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 Race & Ethnicity. You can refer the same here

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%.

The iCulture website of the Ministry of Culture collects and publishes statistical data on the number of arts and cultural activities.

Historical Dataset of Middle School For The Arts is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2004-2023),Total Classroom Teachers Trends Over Years (2005-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2004-2023),Asian Student Percentage Comparison Over Years (2004-2023),Hispanic Student Percentage Comparison Over Years (2005-2023),Black Student Percentage Comparison Over Years (2004-2023),White Student Percentage Comparison Over Years (2004-2023),Two or More Races Student Percentage Comparison Over Years (2019-2023),Diversity Score Comparison Over Years (2005-2023),Free Lunch Eligibility Comparison Over Years (2006-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2006-2023),Graduation Rate Comparison Over Years (2014-2022)

A survey fielded in the United States in April 2023 found that ** percent of respondents aged 65 and higher thought that images and videos that have been created by artificial intelligence should not be considered art because they are not made by humans. The attitude to calling AI-creations art balances out, as we get to younger age groups. For example, among 18-to-34-year-olds ** percent shared this opinion while ** percent did in fact consider visual media made with help of AI to be art.

Abstract (en): The Local Arts Index was developed in response to an interest in "scaling-down" the National Arts Index (NAI) to the community level and to the growing demand for comparative information on arts at the community level. The LAI was developed in partnership with arts leadership organizations in over 100 communities and is comprised of a variety of indicators to understand who we are as a community and how that manifests itself through cultural activities and participation. Indicators are a systematic data collection initiative that is conducted regularly over time. The LAI compresses many arts indicators into one number that is calculated the same way and at regular time intervals, making it easy to compare performance between time periods. The LAI collected county level data such as nonprofit arts revenue and expenditures, creative businesses and nonprofit arts organizations per 100,000 residents, arts share of businesses, employees, establishments, and payroll, estimated expenditures on arts equipment, number of visual and performing arts degrees, and adult population attending arts and culture activities. Demographic information includes median measures of age, household income, and year housing was built, as well as population density, and population share that was over 65, non-English speakers, and non-white. The purpose of the Local Arts Index (LAI) is to provide a set of measures to understand the breadth, depth and character of the cultural life of a community, as well as provide a framework for relating arts and culture to community priorities and aspirations. The P.I.s used the county as the unit of analysis; the 2010 Census lists 3,143 counties or equivalents in the 50 states plus the District of Columbia. To measure a wide range of local arts and culture activity, the P.I.s gathered several hundred micro-level, specific measures of arts activity, resources, participation, and character, from which a smaller number of useful county-level indicators of arts and culture were produced. The P.I.s set each of the indicators in a conceptual framework, the Community Arts Vitality Model. The secondary data sources provide information for varying numbers of counties. Typically, there is ample data to describe urban counties, less for rural counties. The indicators span multiple years, and almost all are from 2011 or later. This study has 3146 cases and 147 variables. Variables include county-level information on adult cultural participation, nonprofit arts expenditures, per capita arts expenditures, nonprofit art program revenues, government art grants per capita, arts-related establishments per 100,000 residents, weight of arts sector in community's business population, grant success rate, institutional or entrepreneurial factor of cultural character, number of historic places per 100,000 residents, and professional arts training. Demographic information includes bureau of economic analysis region, population density, median age, population share over 65, population share that are non-English speakers, population share that is non-white, median year housing built, population share with a bachelor's degree, household income, population share commuting to work, per capita income, and total population. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created online analysis version with question text.; Checked for undocumented or out-of-range codes.. Datasets:DS1: Local Arts Index (LAI), 2009-2015 [United States] Counties within the United States. Smallest Geographic Unit: County Secondary data was obtained from over 25 different sources including: the federal government; private membership organizations, professional societies, and trade groups; research institutions; and commercial data providers. Criteria for including a particular data point in the Local Arts Index are:

The indicator has at its core a meaningful measurement of arts and culture activity; The data are measured at the county level; The data are produced annually by a reputable organization; The data are statistically valid, even if based on sample; Future years of data are ex...

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

Historical Dataset of Creative Connections Arts Academy is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2009-2023),Total Classroom Teachers Trends Over Years (2010-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2010-2023),American Indian Student Percentage Comparison Over Years (2011-2023),Asian Student Percentage Comparison Over Years (2009-2023),Hispanic Student Percentage Comparison Over Years (2009-2023),Black Student Percentage Comparison Over Years (2009-2023),White Student Percentage Comparison Over Years (2009-2023),Native Hawaiian or Pacific Islander Student Percentage Comparison Over Years (2012-2015),Two or More Races Student Percentage Comparison Over Years (2009-2023),Diversity Score Comparison Over Years (2009-2023),Free Lunch Eligibility Comparison Over Years (2010-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2010-2023),Reading and Language Arts Proficiency Comparison Over Years (2010-2022),Math Proficiency Comparison Over Years (2010-2022),Overall School Rank Trends Over Years (2010-2022),Graduation Rate Comparison Over Years (2013-2022)

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

The art expertise score refers to a questionnaire adapted from the Assessment of Art Attributes (see Measures section) in which participants indicated, among others, the number of hours per week spent on creating visual art, number of museum visits per year, and so on. Scores are presented as mean ± standard deviation.* significantly lower compared to the Expert group at p

50+ art styles, 20+ platforms supported, millions of prompts generated, professional-grade quality