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The 2021 Profile of Youth Arts Incubators and Workforce Initiatives dataset is a specialized repository developed as part of the 2021 Profile of Arts Incubators initiative, led by the Arts Incubation Research (AIR) Lab at the University of Texas at San Antonio (UTSA). This dataset spans more than 70 youth-focused arts incubators and organizations across the United States, cataloguing their diverse approaches to connecting young people with opportunities in arts, technology, entrepreneurship, and workforce development. The repository is designed to support research, collaboration, and strategic planning for stakeholders in youth development, education, and community engagement.

The Profile of Youth Arts Incubators and Workforce Initiatives dataset builds on the work of the previously released Profile of Arts Incubators, United States, 2021 (ICPSR 38682). Both Profile of Arts Incubators studies are designed to empower research, policy, and practice in arts-based development and creative entrepreneurship.

Launched in 2021, the National Survey of Nonprofit Trends and Impacts is a multiyear panel study conducted by the Urban Institute in collaboration with American University and George Mason University. Discussions about this initiative began in 2015, with input from the Association for Research on Nonprofit Organizations and Voluntary Action (ARNOVA) and numerous scholars across the nation. This nationally representative study investigates various aspects of nonprofit organizations, including programs and services, staffing and volunteerism, fundraising, donations, financial health, and government engagement. The insights aim to help nonprofit leaders establish sustainable and effective organizations and provide guidance to policymakers, funders, and the public to enhance support for the nonprofit sector.

Researchers interested in the arts and cultural sector can identify arts and cultural 501(c)(3) nonprofit organizations using the "nteecc_3code" variable, which is based on the National Taxonomy of Exempt Entities (NTEE) codes found in the June 2024 IRS Exempt Organizations Business Master File.

Public-use data files and codebooks are available for download at https://datacatalog.urban.org/dataset/national-survey-nonprofit-trends-and-impacts-public-use-files.

For comprehensive information about the project, including reports, analyses, and access to restricted data, please visit the project page: https://www.urban.org/partnering-understand-long-term-trends-nonprofit-organization-activities-and-needs.

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 Arts and Cultural Production Satellite Account (ACPSA) is produced through the partnership between the United States Bureau of Economic Analysis (BEA) and the National Endowment for the Arts (NEA). Built with the BEA's input-output (I-O) accounts, the ACPSA provides detailed statistics that illustrate the impact of arts and cultural production on the United States economy. Specifically, this account provides an assessment of the arts and cultural sector's contributions to gross domestic product (GDP).

For years 1998 to 2023, the ACPSA presents annual statistics about the following items: (1) Output of detailed arts and cultural commodities and the industries producing these commodities; (2) employment and compensation within these industries; (3) arts and cultural value added by industry; and (4) commodity-flow details for arts and cultural production products.

**Please note that due to BEA's 2023 comprehensive updates to the national, industry, and state economic accounts, these statistics supersede all prior ACPSA statistics provided previously and should not be combined with previous years of the ACPSA.**

In the data tables provided, the statistics fall under two broad categories: (1) core arts and cultural production and (2) supporting arts and cultural production. The core category contains the commodities in which the output primarily contributes to arts and culture. Performing arts, museums, design services, and arts education are included in the core category. The supporting category consists of commodities that support the core category through publication, dissemination of the creative process, or other supportive functions. This category contains event promotion, printing, and broadcasting.

The seven national-level data tables provided for each year from 1998 to 2023 include:

• Table 1. Production of Commodities by Industry
• Table 2. Output and Value Added by Industry
• Table 3. Supply and Consumption of Commodities
• Table 4. Employment and Compensation of Employees by Industry
• Table 5. Total ACPSA-related Employment by Industry
• Table 6. Output by ACPSA Commodity
• Table 7. Real Output by Commodity

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 first wave of the Art Museum Director Survey was launched in early 2020. It examined strategy and leadership issues from the perspective of the directors of art museums across the United States. Respondents were asked about their role as museum directors, their strategic priorities and leadership practices, budgeting and resources allocations, current and expected future staffing, their institutions' public trust and engagement with new and existing audiences, collections care and stewardship, their institutions' fiscal health and financial viability, and organizational and talent management.

Conducted prior to the COVID-19 pandemic (the survey's closure was on March 30th 2020), the data from the first wave of the survey offer a glimpse into pre-pandemic perspectives and priorities of art museums.

Launched in April 2022, the second wave of the Art Museum Director Survey offers insights into the evolving strategies of museums over the past two years, covering governance, leadership, collections, public engagement, staffing, and budgets. It also evaluates shifts in directors' perspectives since the onset of the COVID-19 pandemic and explores responses to other national and international crises.

Demographic variables include respondents' institutions' admission fees, years in their current position, years in the museum sector, their highest degree earned, the position they held prior to their current position as a museum director, the staff size of the museum, and the type of museum (academic or municipal).

Cross-sectional data for the 2022 General Social Survey (GSS), along with an updated cumulative file for 1972-2022, is available at the project's data portal, along with the 2022 GSS Documentation and Public-use File Codebook. The GSS Data Explorer has also been updated. The 2022 GSS provides opinion data at a critical time in U.S. history as we move forward from the COVID-19 pandemic and continue to understand changes in post-pandemic society.

Sponsored by the National Endowment for the Arts, the 2022 GSS Arts Module was fielded between July 11th and September 21st, 2022, as a web-only follow-on study to the GSS and included questions about changes in individual's recreational activities before and during the COVID-19 pandemic. The Arts Module's final sample size is 843 individuals (from 2,896 eligible GSS baseline respondents). To identify the individuals in the module, use the "NEASTATUS" variable. Additional information about weights for the module is also provided. Access the 2022 GSS Users Guide here.

The 2022 GSS Arts Module includes 24 measures of respondents' participation in the arts through attendance at live performances, exhibits, movies, and the like, as well as consuming culture through online galleries, reading, or watching a recorded event. Respondents are asked to report about their participation over the past 12 months and to compare this to what they did from March 2020 to March 2021.

The 2022 GSS is the most recent in a series of modules covering similar topics. For example, the 1993 Culture Module included questions on musical preferences, leisure and recreational activities, and attitudes toward art and literature. The 1998 Cultural Module included questions on attendance in arts events, personal engagement in artistic activities, attitudes toward art and literature, and attitudes toward arts funding. The 2002 Cultural Module included questions on musical preferences, attendance at arts events, and personal engagement in artistic activities. In 2002, another module on the "Information Society" included questions on the use of the Internet to obtain information about the arts (e.g., how people use the Web to learn about music, the visual arts, and literature). The 2016 Arts and Culture Module added in new variables covering information regarding social media use, suicide, hope and optimism, arts and culture, racial/ethnic identity, flexibility of work, spouses work and occupation, home cohabitation, and health.

About GSS:

The General Social Survey (GSS) was launched by National Opinion Research Center (NORC) in 1972 as an annual national research project to monitor Americans' shifting attitudes on social issues. NORC conducted the GSS almost every year until 1994, when it became biennial. NORC has also widened the scope of the GSS over the decades. With every survey round, GSS questions changed to reflect emerging trends such as the COVID-19 pandemic, political polarization, and crime.

The 2021 Profile of Arts Incubators is a comprehensive survey developed by the Arts Incubation Research (AIR) Lab at the University of Texas at San Antonio (UTSA) to benchmark the budgets and programs of America's arts incubators. The survey was conducted by the Americans for the Arts during September and October 2021.

The survey collected information about the participating art incubators' programs, financials, and operating procedures. It also focused on the program delivery implications for arts incubators in light of the COVID-19 pandemic, as well as issues of access and equity. Visit the Americans for the Arts website to access a summary of the aggregate national findings from the survey based on 146 survey responses, as well as an interactive map of arts incubators, detailed data tables, infographics, and other resources. Users can also view a photo album of selected incubators and their creative spaces.

The survey responses were collected from arts organizations that (1) have a primary purpose to serve as an arts incubator, or (2) have at least one program/component that serves as an arts incubator for the community it serves, or (3) offers funding that supports the delivery of and/or participation in arts incubator programming (but does not actually provide incubator programming).

• 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

Available through DataArts, the Arts Vibrancy Index (AVI) contains data and findings of the role that arts and culture play in a city's livability and social cohesion. The National Center for Arts Research (NCAR) studies such connections between arts and cultural organizations and their communities. They combine data from nonprofit arts and cultural organizations with data for the communities in which they reside. In linking the data courses, NCAR identifies factors that affect the health and sustainability of arts organizations. NCAR realizes that each of the factors from the ecosystem included in the Arts Vibrancy Index report has an influence on a variety of financial, operating, and attendance outcomes for arts and cultural organizations. The findings are shared regarding the operating and community characteristics that drive performance - and how they affect performance - in the NCAR reports.

The data that NCAR integrates for AVI report typically come from numerous sources. Organizational data that forms the basis of the Arts Dollar measures are from the Internal Revenue Service, DataArts' Cultural Data Profile, and Theatre Communications Group. Community data that forms the basis of the Arts Provider measures are from the Internal Revenue Service and the Census Bureau, which is reported by county, zip code, and census tract. State funding data is from the National Assembly of State Arts Agencies and Federal funding data is from the National Endowment for the Arts and the Institute of Museum and Library Services.

The AVI reports are used by arts leaders, businesses, government agencies, funders, and engaged citizens to better understand the overall intensity and capacity of the community's arts and culture sector. Communities use the AVI and related data to benchmark themselves against an aspirational set of communities and understand what sets them apart by examining the underlying dimensions of demand, supply, and public support for arts and culture.

The National Arts Index (NAI) was developed in the mid-2000s by Americans for the Arts as a way of tracking the health and vitality of arts and culture in the United States over time. Annual NAI reports were published in 2009, 2010, 2012, 2013, 2014, and 2016.

NAI's main features included:

• A policy index providing a summary annual score which aggregated 81 individual indicators of arts finance, capacity, participation, and competitiveness
• A compendium of data with detail on each indicator including its origin and an interpretation of its significance accompanied by a chart representing change in the indicator over time.

Americans for the Arts seeks to build recognition and support for the extraordinary and dynamic value of the arts and to lead, serve, and advance the diverse networks and organizations and individuals who cultivate the arts in America.

The purpose of the 2015 Local Arts Agency (LAA) Census was to characterize the different ways that LAAs perform their vital roles in every community. LAAs share the goals of enabling diverse forms of arts and culture to thrive locally, ensuring broad accessibility to the public, and building healthier communities through the arts.

The census provides details about LAA staffing and oversight, services and programs, partnerships and collaborations in the community, grantmaking, diversity within staff/volunteers/board and diversity in programming, marketing and communications practices, arts education, services for the military, and operating revenues and expenditures, and more. For a more detailed listing of question groups, please refer to the Description of Variables below.

This study contains data from the two forms of the surveys (Full and Abbreviated--a subset of the Full survey). These surveys were distributed online to 4,377 individual Local Arts Agencies in the United States which were known to Americans for the Arts in 2015. A total of 1,127 LAAs responded to the census survey. 641 submitted the Full survey; 486 completed the Abbreviated survey. The overall response rate was 26%.

The data is contained in two separate datasets comprising results from the two surveys. The Full Survey (dataset 1) contains data from the 641 respondents who completed the long survey. The Combined Surveys (dataset 2) contains responses from both the 486 respondents of the abbreviated survey as well the corresponding 641 responses from the full survey for a total of 1,127 respondents. The rate of response from large and mid-sized LAAs was very high, while small and volunteer-driven LAAs were underrepresented in the survey respondents.

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.

The Local Arts Index was developed in response to an interest in "scaling-down" the National Arts Index (NAI) to the community level and to the growing demand for comparative information on arts at the community level. The LAI was developed in partnership with arts leadership organizations in over 100 communities and is comprised of a variety of indicators to understand who we are as a community and how that manifests itself through cultural activities and participation. Indicators are a systematic data collection initiative that is conducted regularly over time. The LAI compresses many arts indicators into one number that is calculated the same way and at regular time intervals, making it easy to compare performance between time periods.

The LAI collected county level data such as nonprofit arts revenue and expenditures, creative businesses and nonprofit arts organizations per 100,000 residents, arts share of businesses, employees, establishments, and payroll, estimated expenditures on arts equipment, number of visual and performing arts degrees, and adult population attending arts and culture activities. Demographic information includes median measures of age, household income, and year housing was built, as well as population density, and population share that was over 65, non-English speakers, and non-white.

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.

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 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.

National and Local Profiles of Cultural Support collected data on public and private support for professional nonprofit arts and cultural organizations in three ways: a national mail survey of a random sample of arts organizations on their sources of revenue, more detailed mail surveys of the identified universe of arts and cultural organizations in ten specific communities, and in-person and telephone interviews with local government officials regarding public agency support (both financial and in-kind) in these ten communities. The ten communities are as follows: Amery, Wisconsin; Cleveland, Ohio; Los Angeles, California; Miami, Florida; Montgomery County, Maryland; Nashville, Tennessee; New Orleans, Louisiana; Philadelphia, Pennsylvania; Providence, Rhode Island; and San Jose, California. A collaborative effort of Americans for the Arts and the Arts Policy and Administration Program at The Ohio State University, the study was supported by The Pew Charitable Trusts and local arts agencies in ten communities across the country.

The National Survey collected data from professional nonprofit arts and cultural organizations on 22 revenue items for fiscal year 1998, across four categories--public contributed income, private contributed income, earned revenue, and interest and other investment income. Developed in close collaboration with the National Center for Charitable Statistics (NCCS), the survey was designed to facilitate comparisons with currently available data on the nonprofit arts, particularly data sets from arts service organizations and NCCS data sets based on IRS Form 990 data. The Local Government Support Survey involved semi-structured interviews with local officials in non-arts government agencies across 13 service areas in the ten communities profiled in this study. Among the agencies represented in these service areas were Administrative Services, Community Planning/Economic Development, Convention and Visitors Bureau, Parks and Recreation, Public Works, Police/Public Safety, and others. Two sets of interview forms were used, one to document the agency's mission and level of current and future arts involvement and a case form to document specific instances of arts support. Further, the Local Surveys, conducted in each of ten communities, collected data from professional nonprofit arts and cultural organizations on a battery of revenue items for fiscal year 1998, across four categories-public contributed income, private contributed income, earned revenue, and interest and other investment income. Developed in close collaboration with the National Center for Charitable Statistics (NCCS), the surveys were designed to facilitate comparisons with currently available data on the nonprofit arts, particularly data sets from arts service organizations and NCCS data sets based on IRS Form 990 data.

The number of respondents across data files ranges from 7 to 796.

The National Center for Charitable Statistics (NCCS) is the national repository of data on the nonprofit sector in the United States. Its mission is to develop and disseminate high quality data on nonprofit organizations and their activities for use in research on the relationships between the nonprofit sector, government, the commercial sector, and the broader civil society. Working closely with the IRS and other government agencies, private sector service organizations, and the scholarly community, NCCS builds compatible national, state, and regional databases and develops uniform standards for reporting on the activities of charitable organizations. The NCCS Core Files (Core), produced annually since 1989, combine descriptive information from the Internal Revenue Service's (IRS) Business Master File (BMF) and financial variables from the IRS Return Transaction Files (RTF) after they have been cleaned by NCCS. Only organizations required to file Form 990 are included in the files. Separate Core files are available for public charities (called the NCCS Core PC file), private foundations (called NCCS Core PF), and organizations under subsections other than 501(c)(3) (called NCCS Core 501(c) others). The NCCS-GuideStar National Nonprofit Research Database (NNRD or "digitized data") is a cumulative listing of public charities filing Form 990 and Form 990-EZ from FY 1998 to FY 2003. As with the NCCS Core files, only organizations required to file with the IRS are included. Unlike the Core files, the data are maintained in a series of cumulative files, one for each major section of the form. The 1992 IRS Form 990 Parts 3 and 8 Supplement, transcribed from Form 990 by NCCS, contains descriptions of the program service accomplishments and income-producing activities of more than 100,000 501(c)(3) public charity organizations and 20,000 501(c)(4) organizations. Trend Analysis Files have been created to assist in longitudinal studies. The Core Trend Files (one for public charities, another for private foundations, with a third planned for "other exempt organizations") combine a small number of variables from every Core file for every year into a single long, narrow file with one record for each unique EIN-Core File Year combination. Data Dictionaries for these files are available on the NCCS Web site. For more information, please review the Guide to Using NCCS Data and selected documentation.

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.