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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.

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.

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.

The special tabulations of artists, taken from the 2015-2019 American Community Survey, were prepared by the Bureau of the Census at the request of the National Endowment for the Arts (NEA). These tables show labor force estimates for detailed artist occupations for the United States as a whole; each of the 50 states, the District of Columbia, and Puerto Rico; and the largest 25 metropolitan areas.

The American Community Survey (ACS) is a nationwide survey designed to provide reliable and timely social, economic, housing, and demographic data every year. It provides estimates on a broad range of population, housing unit, and household characteristics for states, counties, cities, school districts, congressional districts, census tracts, block groups, and many other geographic areas. In 2010, the ACS replaced the census long form as the nation's source of social and economic data for population and housing characteristics.

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.

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):

• 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

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.

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.

• 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

The Artists Training and Career Project, conducted by the Research Center for Arts and Culture (RCAC), studied the training and career choices and patterns of actors, craftspeople, and painters through national surveys of a sampling of artists in each discipline. Topics include training and preparation for painting and craft careers, acceptance in the marketplace, critical evaluation, public response, involvement in professional organizations, and career satisfaction. As a complement to the surveys, RCAC also conducted personal narrative interviews with artists and related experts. The survey of craftspeople was conducted in 1990 and included 1,257 respondents. The survey of painters was conducted in 1991 and included 889 respondents. As well, the survey of actors was conducted in 1992. Funding for the study was provided by the Andrew W. Mellon Foundation and the New York Foundation for the Arts (NYFA).

Also archived at ICPSR and available for research purposes are 1381 ACTORS' EQUITY surveys (AEA) and 528 non-EQUITY (non-AEA) (total 1909). These surveys are in hard copy, and there may be costs associated with access to these materials. Please contact [email protected] if you are interested in using the data.

Digital data for The Artists Training and Career Project: Actor were not provided for the NADAC or CPANDA version of this data collection.

The U.S. Census Bureau's Business Trends and Outlook Survey (BTOS), a survey that measures business conditions, provides insight into the state of the economy with data for key economic measures every two weeks. The continuous, timely nature of BTOS measures captures the impact of events like natural disasters and economic crises and assists in monitoring recovery efforts.

The BTOS is the successor to the Small Business Pulse Survey (SBPS), a high-frequency survey that measured the effect of changing business conditions during the coronavirus pandemic, and other major events like hurricanes, on our nation's small businesses. BTOS increases the scope of the SBPS to include large single-location employer businesses (those with 500 or more employees).

Released biweekly and available by sector, state, and the 25 most populous metropolitan statistical areas, the BTOS offers real-time data to aid in policy and economic decision-making. BTOS data are representative of all single-location employer businesses in the U.S. economy, excluding farms, and include geographic and subsector detail. The sector and subsector commonly used to study arts-related businesses are Sector 71 (Arts and Entertainment) and Subsector 711 (Performing Arts, Spectator Sports, and Related Industries).

The BTOS sample consists of approximately 1.2 million businesses with biweekly data collection. Selected businesses are split into six panels (approximately 200,000 cases per panel) that will be asked to report every 12 weeks for a year.

The Contingent and Alternative Employment Arrangements supplement to the Current Population Survey (CPS) is a monthly sample survey involving about 60,000 households that provides valuable data on (un)employment in the United States. The Contingent and Alternative Employment Arrangements supplement focuses on individuals whose primary jobs are temporary or expected to last only a limited period of time as well as those with alternative employment arrangements (i.e., working as independent contractors, as on-call workers, through temporary help agencies, or through contract firms). Questions were asked about the two types of employment, contingent and alternative, separately as some individuals fell into both categories, some in one but not the other, and some in neither.

This data collection includes variables related to occupation and industry, enabling data users to identify individuals working in arts- and culture-related fields. These occupations fall under categories such as leisure, hospitality, and agriculture, as well as related industries like arts, entertainment, recreation, design, sports, and media. This encompasses professions such as artists, architects, designers, actors, musicians, and writers. Jobs in some of these occupations are especially likely to be categorized as contingent or alternative, so this information is necessary to fully understand the employment experiences of those in art- and culture-related fields.

Before July 2023, data on contingent and alternative employment arrangements were collected periodically from February 1995 to May 2017. The concepts and definitions used in the supplement are detailed in the Technical Note in the BLS news release. For more information, see the FAQs on contingent and alternative employment arrangements.

The Creative Community Index, a research initiative produced by Cultural Initiatives Silicon Valley, measured cultural participation and creativity in the Silicon Valley in 2002 and 2005. The first wave of the study, in 2002, consisted of two surveys: one survey measured the breadth and frequency of cultural participation by residents of Santa Clara County, and another survey gathered a range of data about the current health and vitality of nonprofit arts and culture organizations in the region. The second wave, in 2005, surveyed Silicon Valley residents, nonprofit cultural organizations, local area leaders, and local artists.

The Survey of Silicon Valley Residents [2002] surveyed 361 adult residents of Santa Clara County, California in January and February 2002, and the Survey of Silicon Valley Residents [2005] surveyed 1,007 adult residents of Santa Clara County, California in April 2005. Respondents for both years were asked about their behavior and beliefs regarding arts and culture in their community. The Survey of Cultural Organizations [2002] collected data from 135 organizations in 2001. The organizations were asked a series of questions about their artistic products and programs, organizational capacity, and funding sources in an effort to gather a range of data about the current health and vitality of nonprofit arts groups in the region. The Survey of Silicon Valley Leaders [2005] surveyed adult residents of Santa Clara County between March and April 2005. The survey asked former and current members of American Leadership Forum-Silicon Valley about their organization's ability to attract and retain creative workers to Silicon Valley, as well as their participation, as an individual and with children, in arts and related activities.

The Annual Social and Economic (ASEC) 2015 Supplement is part of the Current Population Survey (CPS) Series. The CPS is a source of the official Government statistics on employment and unemployment. The Census Bureau conducts the ASEC (known as the Annual Demographic File prior to 2003) over a three-month period, in February, March, and April, with most of the data collected in the month of March. The ASEC uses two sets of survey questions, the basic CPS and a set of supplemental questions.

The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides 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.

In addition to the basic CPS questions, respondents were asked questions from the ASEC, which provides supplemental data on poverty, geographic mobility/migration, and work experience. Comprehensive work experience information was given on the employment status, occupation, and industry of persons aged 15 and over. Additional data for persons aged 15 and older were available concerning weeks worked and hours per week worked, reason not working full-time, total income and supplemental income components. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the previous calendar year, although demographic data refer to the time of the survey.

The occupation and industry information variables in this data collection can help the data users identify individuals who worked in arts and culture related fields. The occupations are listed in a category entitled "Arts, Design, Entertainment, Sports, and Media Occupations," which includes professions such as artists, designers, actors, musicians, and writers (see Appendix B of the User Guide for further category details). Industries related to the arts and culture are in the "Arts, Entertainment, and Recreation" category (see Appendix C of the User Guide for further category details).

The ASEC data provided by the Census Bureau are distributed in a hierarchical file structure, with three record types present: Household, Family, and Person. The ASEC is designed to be a multistage stratified sample of housing units, where the hierarchical file structure can be thought of as a person within a family within a household unit. Here the main unit of analysis is the household unit.

The Annual Social and Economic (ASEC) 2017 Supplement is part of the Current Population Survey (CPS) Series. The CPS is a source of the official Government statistics on employment and unemployment. The Census Bureau conducts the ASEC (known as the Annual Demographic File prior to 2003) over a three-month period, in February, March, and April, with most of the data collected in the month of March. The ASEC uses two sets of survey questions, the basic CPS and a set of supplemental questions.

The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides 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.

In addition to the basic CPS questions, respondents were asked questions from the ASEC, which provides supplemental data on poverty, geographic mobility/migration, and work experience. Comprehensive work experience information was given on the employment status, occupation, and industry of persons aged 15 and over. Additional data for persons aged 15 and older were available concerning weeks worked and hours per week worked, reason not working full-time, total income and supplemental income components. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the previous calendar year, although demographic data refer to the time of the survey.

The occupation and industry information variables in this data collection can help the data users identify individuals who worked in arts and culture related fields. The occupations are listed in a category entitled "Arts, Design, Entertainment, Sports, and Media Occupations," which includes professions such as artists, designers, actors, musicians, and writers (see Appendix B of the User Guide for further category details). Industries related to the arts and culture are in the "Arts, Entertainment, and Recreation" category (see Appendix C of the User Guide for further category details). For example, using the occupation and industry information variables from the ASEC help data users to obtain statistics about people in artists occupations that receive supplemental income, live public housing, or are full-time students.

The ASEC data provided by the Census Bureau are distributed in a hierarchical file structure, with three record types present: Household, Family, and Person. The ASEC is designed to be a multistage stratified sample of housing units, where the hierarchical file structure can be thought of as a person within a family within a household unit. Here the main unit of analysis is the household unit.

The Annual Social and Economic (ASEC) 2019 Supplement is part of the Current Population Survey (CPS) Series. The CPS is a source of official Government statistics on employment and unemployment. The Census Bureau conducts the ASEC (known as the Annual Demographic File prior to 2003) over a three-month period, in February, March, and April, with most of the data collected in the month of March. The ASEC uses two sets of survey questions, the basic CPS and a set of supplemental questions.

The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides 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.

In addition to the basic CPS questions, respondents were asked questions from the ASEC, which provides supplemental data on poverty, geographic mobility/migration, and work experience. Comprehensive work experience information was given on the employment status, occupation, and industry of persons aged 15 and over. Additional data for persons aged 15 and older were available concerning weeks worked and hours per week worked, reason not working full-time, total income and supplemental income components. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the previous calendar year, although demographic data refer to the time of the survey.

The occupation and industry information variables in this data collection can help the data users identify individuals who worked in arts and culture related fields. The occupations are listed in a category entitled "Arts, Design, Entertainment, Sports, and Media Occupations," which includes professions such as artists, designers, actors, musicians, and writers (see Appendix B of the User Guide for further category details). Industries related to the arts and culture are in the "Arts, Entertainment, and Recreation" category (see Appendix C of the User Guide for further category details). For example, using the occupation and industry information variables from the ASEC help data users to obtain statistics about people in artists' occupations that receive supplemental income, live public housing, or are full-time students.

The ASEC data provided by the Census Bureau are distributed in a hierarchical file structure, with three record types present: Household, Family, and Person. The ASEC is designed to be a multistage stratified sample of housing units, where the hierarchical file structure can be thought of as a person within a family within a household unit. Here the main unit of analysis is the household unit.

The Annual Social and Economic (ASEC) 2024 Supplement is part of the Current Population Survey (CPS) Series. The CPS is a source of official Government statistics on employment and unemployment. The Census Bureau conducts the ASEC (known as the Annual Demographic File prior to 2003) over a three-month period, in February, March, and April, with most of the data collected in the month of March. The ASEC uses two sets of survey questions, the basic CPS and a set of supplemental questions.

The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides 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.

In addition to the basic CPS questions, respondents were asked questions from the ASEC, which provides supplemental data on poverty, geographic mobility/migration, and work experience. Comprehensive work experience information was given on the employment status, occupation, and industry of persons aged 15 and over. Additional data for persons aged 15 and older were available concerning weeks worked and hours per week worked, reason not working full-time, total income and supplemental income components. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the previous calendar year, although demographic data refer to the time of the survey.

The occupation and industry information variables in this data collection can help the data users identify individuals who worked in arts and culture related fields. The occupations are listed in a category entitled "Arts, Design, Entertainment, Sports, and Media Occupations," which includes professions such as artists, designers, actors, musicians, and writers (see Appendix B of the User's Guide for further category details). Industries related to the arts and culture are in the "Arts, Entertainment, and Recreation" category (see Appendix A of the User's Guide for further category details). For example, using the occupation and industry information variables from the ASEC help data users to obtain statistics about people in artists' occupations that receive supplemental income, live public housing, or are full-time students.

The ASEC data provided by the Census Bureau are distributed in a hierarchical file structure, with three record types present: Household, Family, and Person. The ASEC is designed to be a multistage stratified sample of housing units, where the hierarchical file structure can be thought of as a person within a family within a household unit. Here the main unit of analysis is the household unit.

The Annual Social and Economic (ASEC) 2025 Supplement is part of the Current Population Survey (CPS) Series. The CPS is a source of official Government statistics on employment and unemployment. The Census Bureau conducts the ASEC (known as the Annual Demographic File prior to 2003) over a three-month period, in February, March, and April, with most of the data collected in the month of March. The ASEC uses two sets of survey questions, the basic CPS and a set of supplemental questions.

The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides 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.

In addition to the basic CPS questions, respondents were asked questions from the ASEC, which provides supplemental data on poverty, geographic mobility/migration, and work experience. Comprehensive work experience information was given on the employment status, occupation, and industry of persons aged 15 and over. Additional data for persons aged 15 and older were available concerning weeks worked and hours per week worked, reason not working full-time, total income and supplemental income components. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the previous calendar year, although demographic data refer to the time of the survey.

The occupation and industry information variables in this data collection can help the data users identify individuals who worked in arts and culture related fields. The occupations are listed in a category entitled "Arts, Design, Entertainment, Sports, and Media Occupations," which includes professions such as artists, designers, actors, musicians, and writers (see Appendix B of the User's Guide for further category details). Industries related to the arts and culture are in the "Arts, Entertainment, and Recreation" category (see Appendix A of the User's Guide for further category details). For example, using the occupation and industry information variables from the ASEC help data users to obtain statistics about people in artists' occupations that receive supplemental income, live public housing, or are full-time students.

The ASEC data provided by the Census Bureau are distributed in a hierarchical file structure, with three record types present: Household, Family, and Person. The ASEC is designed to be a multistage stratified sample of housing units, where the hierarchical file structure can be thought of as a person within a family within a household unit. Here the main unit of analysis is the household unit.

NADAC data users should note that this data collection contains data on arts-related occupations. Please read the summary below for details.

This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a survey on the topic of Contingent Employment in the United States, which was administered as a supplement to the February 2017 CPS. In addition to administering the basic CPS, interviewers asked the supplementary questions in three-fourths of the sample households.

The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States, for the week prior to the survey. Specifically, the CPS provides 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 Contingent Work Supplement questions were asked of all applicable persons age 16 years and older. The supplement data is comprised of information on contingent or temporary work that a person did without expecting continuing employment from the particular employer they happened to be working for. Also included is information about each worker's expectation of continuing employment, satisfaction with their current employment arrangement, current job history, transition into the current employment arrangement, search for other employment, employee benefits, and earnings. The occupation and industry information variables in this data collection can help the data users identify individuals who worked in arts and culture related fields. The occupations are listed in categories like "Architecture and engineering occupations" and "Arts, Design, Entertainment, Sports, and Media Occupations," which include professions such as artists, architects designers, actors, musicians, and writers. Industries related to the arts and culture are in the "Arts, Entertainment, and Recreation" category. The supplement questions were not asked of unpaid family workers and persons not looking for work (this includes persons not in the labor force and unemployed persons on layoff who are not looking for work). Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income.

The Check-In Dataset is the second public-use dataset in the Dunham's Data series, a unique data collection created by Kate Elswit (Royal Central School of Speech and Drama, University of London) and Harmony Bench (The Ohio State University) to explore questions and problems that make the analysis and visualization of data meaningful for dance history through the case study of choreographer Katherine Dunham.

The Check-In Dataset accounts for the comings and goings of Dunham's nearly 200 dancers, drummers, and singers and discerns who among them were working in the studio and theatre together over the years from 1937 to 1962. As with the Everyday Itinerary Dataset, the first public-use dataset from Dunham's Data, data on check-ins come from scattered sources. Due to information available, it has a greater level of ambiguity as many dates are approximated in order to achieve accurate chronological sequence. By showing who shared time and space together, the Check-In Dataset can be used to trace potential lines of transmission of embodied knowledge within and beyond the Dunham Company.

Dunham's Data: Digital Methods for Dance Historical Inquiry is funded by the United Kingdom Arts and Humanities Research Council (AHRC AH/R012989/1, 2018-2022) and is part of a larger suite of ongoing digital collaborations by Bench and Elswit, Movement on the Move. The Dunham's Data team also includes digital humanities postdoctoral research assistant Antonio Jiménez-Mavillard and dance history postdoctoral research assistants Takiyah Nur Amin and Tia-Monique Uzor.

For more information about Dunham's Data, please see the Dunham's Data website. Also, visit the Dunham's Data research blog to view the interactive visualizations based on the Dunham's Data.

The Repertory Dataset is the third public-use dataset in the Dunham's Data series, a unique data collection created by Kate Elswit (Royal Central School of Speech and Drama, University of London) and Harmony Bench (The Ohio State University) to explore questions and problems that make the analysis and visualization of data meaningful for dance history through the case study of choreographer Katherine Dunham.

The Repertory Dataset catalogues the various titles and descriptions in Dunham's repertory by which a piece might be known, the years in which it was performed, and all of the singers, dancers, and drummers who were listed as performing in it. The Repertory dataset documents other aspects of each work such as composers of the music, the varying numbers of performers, places of inspiration where available, and whether pieces were performed in concert venues, nightclubs, or both. It also tracks fluid relationships among nearly 300 numbers identified in Dunham's repertory from the 1930s onwards by examining the various scales at which Dunham repurposed choreographic elements over time and for different performance venues, and therefore the alternative ways that works might connect individual performers.

Dunham's Data: Digital Methods for Dance Historical Inquiry is part of a larger suite of ongoing digital collaborations in Movement on the Move.

The Employment Projections (EP) program offers insights into the labor market of the United States, projecting trends for the next decade across approximately 300 detailed industries and 800 occupations. The Bureau of Labor Statistics develops the National Employment Matrix as part of its ongoing Employment Projections program.

Occupational classifications of the National Employment Matrix are based on the structure used by the Occupational Employment Statistics (OEWS) program, which is using the 2018 Standard Occupational Classification (SOC) system. Self-employed worker data are sourced from the Current Population Survey (CPS) and are distributed to relevant occupations through a crosswalk mechanism. The industrial structure relies on the 2017 North American Industry Classification System (NAICS), treating self-employment as a separate industry for analytical purposes. Arts-related occupations encompass various sectors, including motion picture and sound recording industries, broadcasting, performing arts, museums, amusement, publishing, education, design, media, and related fields. This comprehensive overview aids in understanding employment dynamics and trends within the arts and cultural sectors.

The Fast Response Survey System (FRSS) was established in 1975 by the National Center for Education Statistics (NCES), United States Department of Education. FRSS is designed to collect issue-oriented data within a relatively short time frame. FRSS collects data from state education agencies, local education agencies, public and private elementary and secondary schools, public school teachers, and public libraries. To ensure minimal burden on respondents, the surveys are generally limited to three pages of questions, with a response burden of about 30 minutes per respondent. Sample sizes are relatively small (usually about 1,000 to 1,500 respondents per survey) so that data collection can be completed quickly. Data are weighted to produce national estimates of the sampled education sector. The sample size is large enough to permit limited breakouts by classification variables. However, as the number of categories within the classification variables increases, the sample size within categories decreases, which results in larger sampling errors for the breakouts by classification variables.

The Arts Education Surveys of Elementary School Teachers provide national estimates on arts education and arts instructors in public elementary schools during the 2009-10 school year. This data collection contains three surveys that provide information about music specialists, visual arts specialists, and self-contained classroom teachers. These three surveys are part of a set of seven surveys that collected data on arts education during the 2009-10 school year. In addition to these elementary teacher surveys, the set includes a survey of elementary school principals, a survey of secondary school principals, and two secondary teacher-level surveys. A stratified sample design was used to select teachers and arts specialists (music and visual arts) for the Arts Education Surveys of Elementary School Teachers. Data collection was conducted September 2009 through August 2010. Altogether, 1,148 eligible music specialists, 918 eligible visual arts specialists, and 734 eligible self-contained classroom teachers completed the surveys by web, mail, fax, or telephone.

The elementary teacher surveys collected data on the availability of curriculum-based arts education activities outside of regular school hours, teaching load of music and visual arts specialists in elementary schools, teacher participation in various professional development activities, the ways in which self-contained classroom teachers teach arts education as part of their instructional program, and teachers' use of formal methods of assessment of students' achievement in the arts. Furthermore, teachers were also asked to provide administrative information such as school level, school enrollment size, school community type, and percent of students eligible for free or reduced-price lunch.

The Fast Response Survey System (FRSS) was established in 1975 by the National Center for Education Statistics (NCES), United States Department of Education. FRSS is designed to collect issue-oriented data within a relatively short time frame. FRSS collects data from state education agencies, local education agencies, public and private elementary and secondary schools, public school teachers, and public libraries. To ensure minimal burden on respondents, the surveys are generally limited to three pages of questions, with a response burden of about 30 minutes per respondent. Sample sizes are relatively small (usually about 1,000 to 1,500 respondents per survey) so that data collection can be completed quickly. Data are weighted to produce national estimates of the sampled education sector. The sample size is large enough to permit limited breakouts by classification variables. However, as the number of categories within the classification variables increases, the sample size within categories decreases, which results in larger sampling errors for the breakouts by classification variables.

The Arts Education Surveys of Secondary School Teachers provide national estimates on arts education and arts instructors in public secondary schools during the 2009-10 school year. This data collection contains two surveys that provide information about music specialists and visual arts specialists. These two surveys are part of a set of seven surveys that collected data on arts education during the 2009-10 school year. In addition to these secondary teacher surveys, the set includes a survey of elementary school principals, a survey of secondary school principals, and three elementary teacher-level surveys. A stratified sample design was used to select music specialists and visual arts specialists for the Arts Education Surveys of Secondary School Teachers. Data collection was conducted September 2009 through July 2010. Altogether, 1,065 eligible music specialists and 1,046 eligible visual arts specialists completed the surveys by web, mail, fax, or telephone.

The secondary teacher surveys collected data on the availability of curriculum-based arts education activities outside of regular school hours; teaching load of music and visual arts specialists in secondary schools; teacher participation in various professional development activities and the perceived impact of such participation on teaching; and teachers' use of formal methods of assessment of students' progress and achievement in the arts. Furthermore, teachers were also asked to provide administrative information such as school level, school enrollment size, school community type, and percent of students eligible for free or reduced-price lunch.

The Fast Response Survey System (FRSS) was established in 1975 by the National Center for Education Statistics (NCES), United States Department of Education. FRSS is designed to collect issue-oriented data within a relatively short time frame. FRSS collects data from state education agencies, local education agencies, public and private elementary and secondary schools, public school teachers, and public libraries. To ensure minimal burden on respondents, the surveys are generally limited to three pages of questions, with a response burden of about 30 minutes per respondent. Sample sizes are relatively small (usually about 1,000 to 1,500 respondents per survey) so that data collection can be completed quickly. Data are weighted to produce national estimates of the sampled education sector. The sample size is large enough to permit limited breakouts by classification variables. However, as the number of categories within the classification variables increases, the sample size within categories decreases, which results in larger sampling errors for the breakouts by classification variables.

The Elementary School Arts Education Survey, Fall 2009 data provide national estimates on student access to arts education and resources available for such instruction in public elementary schools during fall 2009. This is one of a set of seven surveys that collected data on arts education during the 2009-10 school year. In addition to this survey, the set includes a survey of secondary school principals, three elementary teacher-level surveys, and two secondary teacher-level surveys. A stratified sample design was used to select principals for this survey. Data collection was conducted September 2009 through June 2010, and 988 eligible principals completed the survey by web, mail, fax, or telephone.

The elementary school survey collected data on the availability and characteristics of music, visual arts, dance, and drama/theatre instruction; the type of space used for arts instruction; the availability of curriculum guides for arts teachers to follow; the availability of curriculum-based arts education activities outside of regular school hours; and whether those teaching the subject are arts specialists. Principals also reported on school or district provision of teacher professional development in the arts; arts education programs, activities, and events; and school-community partnerships. Principals were also asked to provide administrative information such as school instructional level, school enrollment size, community type, and percent of students eligible for free or reduced-price lunch.

The Fast Response Survey System (FRSS) was established in 1975 by the National Center for Education Statistics (NCES), United States Department of Education. FRSS is designed to collect issue-oriented data within a relatively short time frame. FRSS collects data from state education agencies, local education agencies, public and private elementary and secondary schools, public school teachers, and public libraries. To ensure minimal burden on respondents, the surveys are generally limited to three pages of questions, with a response burden of about 30 minutes per respondent. Sample sizes are relatively small (usually about 1,000 to 1,500 respondents per survey) so that data collection can be completed quickly. Data are weighted to produce national estimates of the sampled education sector. The sample size is large enough to permit limited breakouts by classification variables. However, as the number of categories within the classification variables increases, the sample size within categories decreases, which results in larger sampling errors for the breakouts by classification variables.

The Secondary School Arts Education Survey, Fall 2009 data provide national estimates on student access to arts education and the resources available for such instruction in public secondary schools during fall 2009. This is one of a set of seven surveys that collected data on arts education during the 2009-10 school year. In addition to this survey, the set includes a survey of elementary school principals, three elementary teacher-level surveys, and two secondary teacher-level surveys. A stratified sample design was used to select principals for this survey. Data collection was conducted September 2009 through June 2010, and 1,014 eligible principals completed the survey by web, mail, fax, or telephone.

The secondary school survey collected data on the availability of music, visual arts, dance, and drama/theatre instruction; enrollment in these courses, the type of space used for arts instruction, the availability of curriculum guides for arts teachers to follow, and the number of arts teachers who are specialists in the subject. Principals reported on graduation requirements for coursework in the arts; school or district provision of teacher professional development in the arts; and arts education programs, activities, and events. Principals also reported on community partnerships and support from outside sources for arts education. Furthermore, principals were also asked to provide administrative information such as school instructional level, school enrollment size, community type, and percent of students eligible for free or reduced-price lunch.

The Health and Retirement Study (HRS) has been a leading source for information on the health and economic well-being of adults over age 50 in the United States for over 20 years. As the world changes, the HRS follows the impact of these changes on the older population.

In 2014, HRS conducted an experimental module on culture and arts to supplement its survey. This module, Module 9, asks respondents about the types of arts activities they participate in. The survey data includes information about whether in the past year, the respondent went to cultural events such as to a movie, an art museum, gallery, crafts fair, or live performance. There are follow-up variables on the frequency respondents attended these events and with whom they attend. The module also includes data on reading habits. Additionally, respondents were asked if they did the following activities:

• Paint, sculpt, make pottery, or do ceramics
• Sing or play a musical instrument
• Act in theatre or film
• Dance, including social dancing
• Write stories, poetry, or plays
• Weave, crochet, quilt, do needlepoint, knitting, sewing, or make jewelry
• Do leatherwork, metalwork, or woodwork
• Do photography, graphic design, or filmmaking?

The last portion of the module includes data on respondents' appreciation of the arts.

The National Cultural Districts Exchange provides a portal for accessing information on cultural districts in the United States. Cultural districts are defined as well-recognized, labeled areas of a city in which a high concentration of cultural facilities and programs serve as the main anchor of attraction. They help strengthen local economies, create an enhanced sense of place, and deepen local cultural capacity. The Nation Cultural Districts Exchange website provides tools and resources to help guide the development and advancement of Cultural Districts. The portal is provided by Americans for the Arts.

The portal offers tools and resources for the following areas:

• Cultural Districts Basics
• Developing a Cultural District
• Advancing a Cultural District
• Profiles of Cultural Districts
• Cultural Districts Research
• Cultural Districts Issue Briefs

Of particular interest to those involved in the arts are the phone survey results from 42 cultural districts in the United States which can be found on the Cultural Districts Research link and the Cultural Districts Interactive Map which provides data on over 300 cultural districts in the United States.

A crucial segment of the U.S. artist population is largely uncounted in federal population and labor surveys because they do not structure their artmaking in a way that those surveys typically define and measure "work" and "labor." Thus, there is insufficient data on the number of working artists nationwide and how their lives and livelihoods are structured. This limits the ability of funders and policymakers to make crucial decisions about how best to support them.

With support from the Andrew W. Mellon Foundation, the National Opinion Research Center (NORC) engaged artists, sector experts, and researchers to inform a new survey reaching an expansive, nationally representative sample of artists. This sample includes the previously "invisible" population of artists who were recruited from NORC's AmeriSpeak panel and multiple nonprobability panels.

Their survey explores the following questions:

• How many artists live and work in the United States today?
• Who are these artists?
• How do they describe their creative practice(s)?
• How are their work arrangements structured?
• How do they support themselves financially?
• What can be learned about their physical and mental health and wellbeing?

The Occupational Employment Statistics (OES) program conducts a semiannual survey designed to produce estimates of employment and wages for specific occupations. The OES program collects data on wage and salary workers in nonfarm establishments in order to produce employment and wage estimates for about 800 occupations. Data from self-employed persons are not collected and are not included in the estimates. The OES program produces these occupational estimates for the nation as a whole, by state, by metropolitan or nonmetropolitan area, and by industry or ownership. The Bureau of Labor Statistics produces occupational employment and wage estimates for approximately 415 industry classifications at the national level. The industry classifications correspond to the sector, 3-, 4-, and selected 5- and 6-digit North American Industry Classification System (NAICS) industrial groups.

The OES program surveys approximately 200,000 establishments per panel (every six months), taking three years to fully collect the sample of 1.2 million establishments. To reduce respondent burden, the collection is on a three-year survey cycle that ensures that establishments are surveyed at most once every three years. The estimates for occupations in nonfarm establishments are based on OES data collected for the reference months of May and November.

The OES survey is a federal-state cooperative program between the Bureau of Labor Statistics (BLS) and State Workforce Agencies (SWAs). BLS provides the procedures and technical support, draws the sample, and produces the survey materials, while the SWAs collect the data. SWAs from all fifty states, plus the District of Columbia, Puerto Rico, Guam, and the Virgin Islands participate in the survey. Occupational employment and wage rate estimates at the national level are produced by BLS using data from the fifty states and the District of Columbia. Employers who respond to states' requests to participate in the OES survey make these estimates possible.

The OES features several arts-related occupations, particularly in the Arts, Design, Entertainment, Sports, and Media Occupations group (Standard Occupational Classification (SOC) code 27-0000). Several featured occupation groups include the following:

Art and Design Workers (SOC 27-1000)

• Art Directors
• Fine Artists, including Painters, Sculptors, and Illustrators
• Multimedia Artists and Animators
• Fashion Designers
• Graphic Designers
• Set and Exhibit Designers

Entertainers and Performers, Sports and Related Workers (SOC 27-2000)

• Actors
• Producers and Directors
• Athletes
• Coaches and Scouts
• Dancers
• Choreographers
• Music Directors and Composers
• Musicians and Singers

Media and Communication Workers (SOC 27-3000)

• Radio and Television Announcers
• Reports and Correspondents
• Public Relations Specialists
• Writers and Authors

Data for years 1997 through the latest release and can be found on the OES Data page. Also, see OES News Releases sections for current estimates and news releases. Users can analyze the data for the nation as a whole, by state, by metropolitan or nonmetropolitan area, and by industry or ownership. As well, OES Charts are available. Users may also explore data using OES Maps. If preferred, data can also be accessed via the Multi-Screen Data Search or Text Files using the OES Databases page.

Creatives Rebuild New York (CRNY) launched the "Portrait of New York State Artists" survey in February 2022 to build a portrait of the needs, circumstances, and experiences of artists across New York State. CRNY used data from this survey to conduct advocacy and narrative change work, and to assess whether the funding provided to artists through CRNY's programs helped meet the needs of individual artists in any substantive or transformational ways.

Upon submission of an application to CRNY's Guaranteed Income for Artists or Artist Employment Program, artists were invited to answer additional optional questions about their artistic practice, financial circumstances, well-being, pandemic experience, and attitudes about policy and advocacy matters. A publicly accessible version of the survey was made available for those not interested or eligible to apply for CRNY funding. The survey closed on May 31, 2022.

Overall, 13,377 artists completed the survey.

The Public Art Archive (PAA) is a free, continually growing, online and mobile database of completed public artworks. Its purpose is to:

• Gather documentation about public artworks into one central repository.
• Support the standardization and adoption of best practices in cataloging public art.
• Unite records from public art organizations and artists into one comprehensive resource.
• Raise awareness about the value of public art and advocates for public artists.
• Help make it possible for stakeholders to advance the professionalism of public artists and practitioners in allied fields.

The Archive is free to contribute to and interact with from a desktop, tablet or mobile device. Managed by a team of curators, public art administrators, information specialists, web developers, graphic designers, and arts advocates, PAA is supported by a nonprofit arts service organization, WESTAF. Copyright holders retain their rights to any data and media that the Archive displays. WESTAF retains copyright over the compilation that is the Public Art Archive service. The Archive is built on a standardized and highly rigorous metadata structure and controlled taxonomies to describe artworks in a consistent manner. The main goal of this database is to provide accurate documentation. Integrated with Google Maps, PAA supports mapping features for virtual or on foot exploration. The database is searchable with filters that aid in research and education.

This study investigates connections between arts-based creativity and other forms of creativity such as problem-solving, entrepreneurship, and social networking. Specifically, it explores individuals' creative inclinations and behaviors through two means. The first, a national survey of adults, provides insights on how adults of varied socioeconomic and demographic backgrounds across the United States perceive their own creativity. The second, a mixed-methods study with professional artists, provides a closer look at how artists perceive of themselves across multiple domains of creativity, and at how creativity fuels entrepreneurial approaches to shaping their careers. This collection is concerned with the former - the national survey. The primary objective of the national survey is to measure the ways that American adults experience and exercise creativity in their daily lives. The result of a rigorous survey design phase that included an extensive review of creativity literature and existing survey instruments across several academic disciplines, the survey features a wide range of questions on creative attitudes and behaviors. To be as inclusive as possible of the many different forms and expressions of creativity, the survey was specifically designed to probe respondents' self-perceptions of creativity across six creative "domains": artistic creativity, creativity in math/science, creativity in business/entrepreneurship, creativity in social settings, creativity in civic settings, and creativity in "everyday" activities. The survey also captures information on respondents' arts participation, in order to enable an examination of the relationships between arts participation and other types of creativity, as well as information on respondents' occupations and occupational values. While the survey primarily focuses on inward characteristics and behaviors, it also includes some questions designed to explore external environmental conditions that may impact one's ability to express creativity. Demographic information includes gender, race, education, marital status, income, location, and household size.

The State-Level Estimates of Arts Participation Patterns (2012-2015) highlights selected arts-participation rates for all 50 U.S. states and the District of Columbia. These summary statistics were derived from the following studies: ANNUAL ARTS BASIC SURVEY, 2015 [UNITED STATES]; ANNUAL ARTS BASIC SURVEY, 2014 [UNITED STATES]; and SURVEY OF PUBLIC PARTICIPATION IN THE ARTS (SPPA), 2012 [UNITED STATES].

The following tables are provided:

• Tables 1 and 1a-1d - Events Attended: Reports AABS 2015 data on attendance at visual and performing arts events.

  Includes - attending a live music, theater, or dance performance; attending a live book reading, poetry, or storytelling event; going to see an art exhibit; going to a movie; and touring/visiting buildings, neighborhoods, parks, or monuments for their historical, architectural, or design value.

• Table 2 - Literature Read: Shows AABS 2015 data on literary-reading rates.

  Includes - reading novels, short stories, poems, or plays.

• Table 3 - Performed or Created Artworks: Shows AABS 2014 data on personal performance and creation of artworks.

  Includes - making pottery, ceramics or jewelry; making leatherwork, metalwork, or woodwork; making weaving, crocheting, or other textile art; playing a musical instrument; acting; performing or practicing dance; doing social dancing; performing or practicing singing; creating films or videos; taking photographs for artistic purposes; creating other visual arts (e.g., paintings, sculpture, or graphic design; and doing creative writing.

• Table 4 - Arts Consumed via Electronic Media: Features SPPA 2012 data on arts consumption via electronic media.

  Includes - Use TV, Radio, and/or the Internet to watch, listen to, and/or download any: jazz; Latin, Spanish, or salsa music; classical music; opera; rock, pop, country, folk, rap, or hip-hop; musicals or stage plays; ballet, modern, or contemporary dance; other dance programs or shows; programs about visual arts such as painting, sculpture, graphic design, or photography; programs or information about books or writers, or other books, short stories, or poetry read out loud.

The Strategic National Arts Alumni Project (SNAAP) survey collects data on the perspectives and experiences of alumni from arts, design, and adjacent fields. The 2022 SNAAP survey data offer evidence-based insights to help inform the important work being undertaken by postsecondary institutions offering studies and training in arts and design amid shifts and changes affecting higher education.

SNAAP's national, online survey was launched in 2008 to meet the growing need for reliable alumni outcomes data, as articulated by arts training institutions across the country. The survey draws generalizable insights about "artists" with postsecondary degrees (as defined by Classification of Instructional Programs (CIP) codes) in arts, design, and media fields. Alumni of independent arts and design colleges, conservatories, and arts schools and departments within comprehensive colleges and universities are surveyed.

SNAAP's survey was successfully relaunched in 2022 with numerous changes to its design, methodology, and administration. This included a probabilistic sampling frame to ensure a more representative sample; a more inclusive recruitment process to secure a more diverse group of institutions' participation in SNAAP; and a revised survey questionnaire to expand on important substantive areas and improve the respondent's experience completing the questionnaire. The revised questionnaire gave new attention to alumni's "sense of belonging" at their educational institution; the impact of the COVID-19 pandemic on their lives and careers; and paying for postsecondary arts education.

The Survey of Income and Program Participation (SIPP) is a longitudinal survey that provides comprehensive information about income and assistance program participation of individuals and households in the United States. The survey collects data and measures changes in characteristics like economic well-being, family dynamics, education, assets, health insurance, child care, and food security.

SIPP data tables provide wealth and debt measures at the nation and state levels. National estimates offer detailed wealth and debt statistics for a variety of demographic, social and household characteristics. These measures include information on major contributors to wealth such as home equity and retirement accounts, as well as common types of debt such as vehicle debt, credit card debt and student loans. The state-level data highlight household net worth estimates at the state level broken down by selected asset and debt categories.

Arts and Entertainment industries tracked by SIPP:

• 8561. Performing Arts Companies
• 8562. Spectator Sports
• 8563. Promoters of performing arts, sports, and similar events, agents and managers for artists, athletes, entertainers, and other public figures
• 8564. Independent artists, writers, and performers
• 8570. Museums, art galleries, historical sites, and similar institutions

The SIPP also contains measures of whether one's children take lessons after school (ELESSON), attend religious services or events (ERELIG), or play on a sports team (ESPORT) in the Child Well-being subtopic area.

The data are accompanied by supporting materials such as data dictionaries, an online codebook and an updated users' guide. For more information about SIPP data available through ICPSR, see the Survey of Income and Program Participation (SIPP) Series.

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 July 2012 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.

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. Interviews were conducted during the period of July 15-21, 2012. The supplement contained questions about the sampled member's participation in various artistic activities from July 1, 2011 through July 1, 2012. If the selected person had a spouse or partner, then the respondent answered questions on behalf of their spouse/partner. Therefore, the spouse/partner responses are proxies. If a respondent was answering for themselves and on behalf of their spouse or partner, the respondent and spouse/partner questions followed the same path through the instrument. Spouse/partner questions were asked on core participation (Core 1 or Core 2), leisure activities (Module D), and the first four questions of Module A. The total sample size of the 2012 SPPA was 35,735 American adults, ages 18 and over.

The 2012 SPPA included two core components: a questionnaire used in previous years to ask about arts attendance; and a new, experimental module on arts attendance. In addition, the survey included five modules designed to capture other types of arts participation as well as participation in other leisure activities. Respondents were randomly assigned to either of the survey's core questionnaires, and then were randomly assigned to two of the remaining five SPPA modules. Questions were asked about the type of artistic activity, the frequency of participation, training and exposure, musical and artistic preferences, school-age socialization, and computer and device usage related to artistic information. The topics were separated into the five modules (each module was administered to only a portion of the sampled cases):

• Module A: Other Attendance and Music Preferences (reading, film, or sporting event attendance; other live performances; and music listening preferences)
• Module B: Accessing Art through Media (using media for participation in artistic events and frequency of participation in past year)
• Module C: Creating Arts through Media (participation in certain types of other leisure or artistic activities, public artistic performances, and using media to share activities in past year)
• Module D: Creating, Performing, and Other Activities (sport activities, other art activities, and musical performance activities in past year)
• Module E: Arts Learning (art related lessons or classes, respondent age during lessons/classes, location of lessons/classes, respondents' parents' education, and the participation of the respondents' school age children)

A Survey of the Arts in Everyday Life 2002 examined the involvement of Chicago-area individuals in "informal" arts activities, such as acting in community theater, singing in a church choir, writing poetry at the local library, or painting portraits in a home studio. This survey was a significant component in the larger study "Informal Arts: Finding Cohesion, Capacity and Other Cultural Benefits in Unexpected Places," which was a two and a half year study of the informal arts in Chicago undertaken by Columbia College Chicago's Center for Arts Policy. The research was undertaken by Principal Investigator Alaka Wali Ph.D., ethnographers Rebecca Severson M.A. and Mario Longoni M.A., the survey statistician Kevin Karpiak, and dedicated interns and professional volunteers. Elena Marcheschi J.D. took on the overall responsibilities of Project Director. This survey is used frequently to reinforce and expand on ethnographic findings drawn from a series of case studies and at large fieldwork. The University of Illinois Survey Lab assisted in the survey design. As part of the strategy to triangulate the data sources, the survey instrument was designed to test researchers' findings and to gather additional data on areas such as participants' depth of involvement in civic life. The questionnaire contained 67 questions divided into broad topical areas such as organizational dynamics, networks, resources and barriers, and visibility of arts, in addition to demographics. The sampling goal was to get a census of all the participants at each case study location at a given moment in time. Most of the questionnaires were mailed to participants. Other questionnaires were either hand-delivered or emailed. During August 2001, 165 of the 310 recipients completed and returned the survey. Partial funding for this study was provided by the John D. and Catherine T. MacArthur Foundation, the Rockefeller Foundation, the National Endowment for the Arts, the Illinois Arts Council, the Richard H. Driehaus Foundation, the Urban Institute/Arts and Culture Indicators in Community Building Project (ACIP), and Columbia College Chicago.