World Cities Culture Report, 2022 (ICPSR 39411)
The World Cities Culture Forum, established in 2012, is a leading global network of civic leaders from over 40 creative cities across six continents, representing a combined population of over 245 million. The forum fosters collaborations to place culture at the core of urban development, addressing 21st-century challenges such as climate change, affordable workspaces, cultural tourism, and diversity in public spaces. Through its Global Summit, partnerships, and programs like the Leadership Exchange Programme and Digital Dialogue Masterclasses, the forum promotes cultural integration in city planning. The World Cities Culture Report 2022 provides comprehensive open-source data on culture, including over 60 datasets from 40 cities.
- Contextual Data: Includes demographics such as characteristics of the overall and working-age populations (including percent who were foreign born) and of the geographical area, such as the percentage of national population living in the city and the percentage of the area devoted to parks and other public green spaces.
- Cultural Infrastructure: Provides counts (and rates) of various facilities and venues, including art galleries, artists' studios, rehearsal spaces, bars, bookshops, cinemas, community centers, concert halls, museums, nightclubs, libraries, video game arcades, and theatres.
- Participation and Tourism: Focuses on cultural participation metrics, such as cinema and theatre admissions, festival attendance, museum visits, average daily attendance at the top five art exhibits, and international tourist numbers.
- Creative Economy: Encompasses data on book publishing, creative industries employment, film festivals, restaurant ratings, and performances.
- Education: Includes statistics on public library book loans, higher education levels, international student enrollment, and specialist institutes in art and design education.
The source for each number is identified within the dataset. Data users can freely download selected datasets as .csv files.
American Community Survey Artist Extracts 5-year Data (ICPSR 39413)
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.
Art Museum Staff Demographic Survey, United States, 2015, 2018, 2022 (ICPSR 38196)
These data were gathered on behalf of the Andrew W. Mellon Foundation, in partnership with the American Alliance of Museums (AAM) and the Association of Art Museum Directors (AAMD). The goal of the survey was to study the representational diversity within art museums through quantitative means. The survey instrument, developed by Ithaka S+R, was administered to directors of AAMD and AAM member art museums. The first cycle of data were collected in 2015 (February-March 2015), the second cycle in 2018 (July-September 2018), and the third cycle in 2022 (February-April 2022). The collected data were sent to researchers at Ithaka S+R, who appended, cleaned and analyzed the data, and presented findings in a public research report.
The survey collected demographic and employment data for over 30,000 museum employees. About 27,000 of these are employed at AAMD museums, and approximately 3,000 are from (non-AAMD) AAM member museums. 332 art museums responded to the survey in 2018 and 136 of them also participated in the survey in 2015. The third cycle gathered data from 328 museums in North America between February and April 2022, encompassing records for over 30,000 individuals.
The 2018 instrument was slightly expanded to capture additional specifics of the composition of art museum employees. For the third cycle, significant enhancements were made to the survey instrument, particularly in expanding the position and race categories, separating categories such as "Finance" and "Human Resources," as well as "Information Technology" and "Web Development," which were combined in the previous survey. Additionally, new positions such as "Librarian," "Public Engagement," and "Diversity/Equity/Inclusion" were included to better track changes in these areas. The data gathered in the third wave of the study offer valuable insights into the evolving demographics of the museum sector and the pandemic's impact on staffing.
American Community Survey: Public Use Microdata Sample: Artist Extract, 2018-2022 (ICPSR 39135)
The American Community Survey: Public Use Microdata Sample: Artist Extract, 2018-2022 can be downloaded from the IPUMS USA website. The extract captures information on the number of artists, by occupation, demographic group, and other individual characteristics.
To explore social, housing, and economic characteristics within the arts sector, the 2018-2022 ACS 5-year sample can narrowed down to only respondents in arts-related occupations (identified by the variable name: OCC):
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1300 Architects, Except Naval
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2600 Artists and Related Workers
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2630 Designers
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2700 Actors
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2710 Producers and Directors
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2740 Dancers and Choreographers
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2750 Musicians, Singers, and Related Workers
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2760 Entertainers and Performers, Sports and Related Workers, All Other
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2700 Announcers
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2850 Writers and Authors
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2910 Photographers
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2920 Television, Video, and Motion Picture Camera Operators and Editors
Users can also visit the IPUMS USA website to analyze the 2018-2022 ACS 5-year sample online in the IPUMS SDA system.
About the American Community Survey (ACS): The ACS is an ongoing statistical survey that samples a small percentage of the population every year -- giving communities the information they need to plan investments and services. The 5-year public use microdata sample (PUMS) for 2018-2022 is a subset of the 2015-2019 American Community Survey (ACS) and Puerto Rico Community Survey (PRCS) samples. It contains the same sample as the combined PUMS 1-year files for 2018, 2019, 2020, 2021, and 2022. The 2018-2022 ACS 5-year PUMS contains five years of data for housing units (HUs) and the population from households and the group quarters (GQ) population. The GQ population, housing units and population from households are all weighted to agree with the ACS counts, which are an average over the five year period. The ACS sample is selected from all counties across the nation and all municipios in Puerto Rico.
The 5-year dataset is a 5-in-100 national random sample of the population, comprising all households and individuals from the 1% American Community Survey (ACS) samples for 2018, 2019, 2020, 2021, and 2022, identifiable by year. It includes persons in group quarters and is weighted. The smallest identifiable geographic unit is the PUMA, which contains at least 100,000 persons and does not cross state boundaries. However, the updating of some geography variables has been delayed due to the usage of two different census definitions (2010 and 2020) of PUMA across the five years in the sample. Regarding data quality issues caused by the COVID-19 pandemic, the Census Bureau revised its methodology for weighting households in the 2017-2020 5-year sample, resulting in larger coefficients of variation for some key estimates. Users should proceed with caution when using the 2020 1-year ACS PUMS file and should not compare it to other ACS years in the multi-year data samples. Please see ACS and COVID-19: Guidance for Using the PUMS with Experimental Weights for more information.
Additionally, data collection errors occurred in certain years, notably in 2016, 2017, and 2019, affecting specific variables in particular counties. These errors should be considered when analyzing the data. Users should read the FAQ on the multi-year data.
American Community Survey: Public Use Microdata Sample: Artist Extract, [United States], 2015-2019 (ICPSR 38042)
- Visit the IPUMS USA website to download the 2015-2019 ACS 5-year sample
- Restrict the downloaded sample to a subset of respondents in arts-related occupations (variable name: OCC):
- OCC Code Occupation Name
- 1300 Architects, Except Naval
- 2600 Artists and Related Workers
- 2630 Designers
- 2700 Actors
- 2710 Producers and Directors
- 2740 Dancers and Choreographers
- 2750 Musicians, Singers, and Related Workers
- 2760 Entertainers and Performers, Sports and Related Workers, All Other
- 2700 Announcers
- 2850 Writers and Authors
- 2910 Photographers
- 2920 Television, Video, and Motion Picture Camera Operators and Editors
American Community Survey: Public Use Microdata Sample: Artist Extract, [United States], 2012-2016 (ICPSR 36998)
The American Community Survey (ACS) is an ongoing statistical survey that samples a small percentage of the population every year -- giving communities the information they need to plan investments and services. The 5-year public use microdata sample (PUMS) for 2012-2016 is a subset of the 2012-2012 ACS sample. It contains the same sample as the combined PUMS 1-year files for 2012, 2013, 2014, 2015 and 2016. This data collection provides a person-level subset of 133,781 respondents whose occupations were coded as arts-related in the 2011-2015 ACS PUMS.
The 2012-2016 PUMS is the seventh 5-year file published by the ACS. This data collection contains five years of data for the population from households and the group quarters (GQ) population. The GQ population and population from households are all weighted to agree with the ACS counts which are an average over the five year period (2012-2016). The ACS sample was selected from all counties across the nation.
The ACS provides social, housing, and economic characteristics for demographic groups covering a broad spectrum of geographic areas in the United States. For a more detailed list of variables of what these categories include please see the decriptions of variables section.
Creating Connection: Building Public Will for Arts and Culture, 2014 [United States] (ICPSR 36865)
The Creating Connection: Building Public Will for Arts and Culture, 2014, study explores arts and culture experiences as they relate to people's core values. The study is part of the Arts Midwest and Metropolitan Group's multi-year social change effort that began in 2012 to advance the position of arts and culture as a recognized, valued, and expected part of the public's everyday lives. The 2014 study seeks to understand how people define their arts and culture experiences, the core values that drive these experiences, and those messages that effectively connect these experiences to their values in order to craft messages that change expectations surrounding arts and culture.
Data was collected from 4,645 participants through a national survey administered September 2014. The base sample consisted of more than 2,586 responses nationwide, with additional oversamples from San Jose (California), California, Michigan, Minnesota, and Oregon. Data is weighted by education, race, age, and party identification to reflect those populations. Variables include information on: faith, family, community, cultural diversity, arts and culture engagement, social activities, artistic expression, and defining arts and culture. Demographic variables include age, race, education, gender, and income.
DataArts (ICPSR 36956)
DataArts, formerly the Cultural Data Project, was founded to bring the language and leverage of data to the business of culture. The Cultural Data Profile (CDP) is DataArts' flagship service, which thousands of cultural nonprofits use annually to report their financial and programmatic information. The Cultural Data Profile (CDP) is a detailed online survey of financial, programmatic, and demographic information that cultural nonprofits fill out once annually, and use to apply for funding to multiple grant programs. Other organizations provide data as part of integrated surveys administered by national arts service organization partners. This data powers a suite of business intelligence reports which cultural leaders use to better manage their organizations. It also contributes to a robust, national data resource for research and advocacy.
CultureBlocks (ICPSR 36958)
CultureBlocks is a free online mapping tool that provides simple access to a robust, spatial database of Philadelphia's creative and cultural resources on the neighborhood level. CultureBlocks can be used for decision making, policy development, research, planning, marketing and investment. This web tool is designed to assist people and organizations such as city officials, arts and culture managers, creative businesses, tourism and marketing officials, students, researchers, real estate developers, economic development professionals, and funders in their work. Citizens are invited to use this tool to learn more about Philadelphia and its creative sector.
The team behind the tool consists of The City of Philadelphia's Office of Arts, Culture and the Creative Economy (OACCE), The City of Philadelphia's Department of Commerce, the Reinvestment Fund and the Social Impact of the Arts Project (SIAP) at the University of Pennsylvania's School of Social Policy and Practice. SIAP and the Reinvestment Fund also made use of the associated database to develop an index of social well-being for the city of Philadelphia, described in linked working papers.
American Community Survey, 2011-2015 [United States]: Public Use Microdata Sample: Artist Extract (ICPSR 36854)
The American Community Survey (ACS) is an ongoing statistical survey that samples a small percentage of the population every year -- giving communities the information they need to plan investments and services. The 5-year public use microdata sample (PUMS) for 2011-2015 is a subset of the 2011-2011 ACS sample. It contains the same sample as the combined PUMS 1-year files for 2011, 2012, 2013, 2014 and 2015. This data collection provides a person-level subset of 129,895 respondents whose occupations were coded as arts-related in the 2011-2015 ACS PUMS.
The 2011-2015 PUMS is the seventh 5-year file published by the ACS. This data collection contains five years of data for the population from households and the group quarters (GQ) population. The GQ population and population from households are all weighted to agree with the ACS counts which are an average over the five year period (2011-2015). The ACS sample was selected from all counties across the nation.
The ACS provides social, housing, and economic characteristics for demographic groups covering a broad spectrum of geographic areas in the United States. Demographic variables include sex, age, relationship of person to the selected respondent, race, and Hispanic origin. Social characteristics variables include school enrollment, educational attainment, marital status, fertility, grandparents caring for children, veteran status, type of disability, health insurance, place of birth, United States citizenship status, year of entry, year of naturalization, language spoken at home, and ancestry. Variables focusing on economic characteristics include employment status, commuting to work, occupation, industry, class of worker, income and benefits, and poverty status.
Supporting Practice in the Arts, Research, and Curricula (SPARC), 2012-2015 [United States] (ICPSR 36823)
With support from the Andrew W. Mellon Foundation, the goal of the Supporting Practice in the Arts, Research, and Curricula (SPARC) research project is to highlight the role of the arts in research universities and to support new modes of practice across the arts, research, curricula.
Using open-ended interviewee responses as the primary data source, combined with other sources of evidence and secondary research, the project explores the models, obstacles, implementation strategies, costs, and impact of arts-integrative practices on research, teaching, and promotion.
From 2012-2015, the Alliance for the Arts in Research Universities (a2ru) conducted a baseline data collection effort and study of 46 universities and including over 900 interviews. The goal was to discover the models, obstacles, implementation strategies, costs, and impact of arts integrative practices on research, teaching, and learning in higher education.
Following from the Phase I data collection, Phase II of SPARC Project (2015-2018) seeks to synthesize and disseminate the research findings.
Diversity Survey of the New York City Department of Cultural Affairs Grantees, 2015 (ICPSR 36606)
In 2015 Ithaka S+R surveyed the grantees of the New York City Department of Cultural Affairs (DCLA) and received demographic data on staff and board members, as well as questionnaire responses about initiatives and barriers to diversifying staff and boards. The invitation to participate in the survey was sent to the executive directors (or equivalent) of the 1,061 DCLA Capital Fund recipients for fiscal year 2016. Survey participation was a requirement for funding eligibility for fiscal year 2017.
Representatives from the responding organization filled out spreadsheets on staff demographics. The spreadsheet results are compiled in the Demographics File which contains information on staff race, ethnicity, gender, disability status, and age. In addition, there are variables on staff members' roles in the organization such as employment status, job level, decade hired, job type, and discipline. The Demographics File contains 14 variables and cases on over 48,000 staff members
The Survey File contains grantee organization representatives' responses to the DCLA questionnaire on diversity engagement, barriers and initiatives. This file contains 993 cases and 62 variables.
American Community Survey, 2010-2014 [United States]: Public Use Microdata Sample: Artist Extract (ICPSR 36372)
The American Community Survey (ACS) is an ongoing statistical survey that samples a small percentage of the population every year -- giving communities the information they need to plan investments and services. The 5-year public use microdata sample (PUMS) for 2010-2014 is a subset of the 2010-2014 ACS sample. It contains the same sample as the combined PUMS 1-year files for 2010, 2011, 2012, 2013 and 2014. This data collection provides a person-level subset of 127,392 respondents whose occupations were coded as arts-related in the 2010-2014 ACS PUMS.
The 2010-2014 PUMS is the sixth 5-year file published by the ACS. This data collection contains five years of data for the population from households and the group quarters (GQ) population. The GQ population and population from households are all weighted to agree with the ACS counts which are an average over the five year period (2010-2014). The ACS sample was selected from all counties across the nation.
The ACS provides social, housing, and economic characteristics for demographic groups covering a broad spectrum of geographic areas in the United States and Puerto Rico. Demographic variables include sex, age, relationship of person to the selected respondent, race, and Hispanic origin. Social characteristics variables include school enrollment, educational attainment, marital status, fertility, grandparents caring for children, veteran status, type of disability, health insurance, place of birth, United States citizenship status, year of entry, year of naturalization, language spoken at home, and ancestry. Variables focusing on economic characteristics include employment status, commuting to work, occupation, industry, class of worker, income and benefits, and poverty status.
American Community Survey, 2008-2012 [United States]: Public Use Microdata Sample: Artist Extract (ICPSR 35529)
The American Community Survey (ACS) is an ongoing statistical survey that samples a small percentage of the population every year -- giving communities the information they need to plan investments and services. The 5-year public use microdata sample (PUMS) for 2008-2012 is a subset of the 2008-2012 ACS sample. It contains the same sample as the combined PUMS 1-year files for 2008, 2009, 2010, 2011 and 2012. This data collection provides a person-level subset of 124,023 respondents whose occupations were coded as arts-related in the 2008-2012 ACS PUMS.
The 2008-2012 PUMS is the fourth 5-year file published by the ACS. This data collection contains five years of data for the population from households and the group quarters (GQ) population. The GQ population and population from households are all weighted to agree with the ACS counts which are an average over the five year period (2008-2012). The ACS sample was selected from all counties across the nation.
The ACS provides social, housing, and economic characteristics for demographic groups covering a broad spectrum of geographic areas in the United States and Puerto Rico. Demographic variables include sex, age, relationship of person to the selected respondent, race, and Hispanic origin. Social characteristics variables include school enrollment, educational attainment, marital status, fertility, grandparents caring for children, veteran status, type of disability, health insurance, place of birth, United States citizenship status, year of entry, year of naturalization, language spoken at home, and ancestry. Variables focusing on economic characteristics include employment status, commuting to work, occupation, industry, class of worker, income and benefits, and poverty status.