The Resource American Community Survey, 2008-2012 [United States]: Public Use Microdata Sample: Artist Extract
American Community Survey, 2008-2012 [United States]: Public Use Microdata Sample: Artist Extract
Resource Information
The item American Community Survey, 2008-2012 [United States]: Public Use Microdata Sample: Artist Extract represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Bowdoin College Library.This item is available to borrow from 1 library branch.
Resource Information
The item American Community Survey, 2008-2012 [United States]: Public Use Microdata Sample: Artist Extract represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Bowdoin College Library.
This item is available to borrow from 1 library branch.
- Summary
- 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
- Note
-
- 2007-11--2012-12
- 35529
- Label
- American Community Survey, 2008-2012 [United States]: Public Use Microdata Sample: Artist Extract
- Title
- American Community Survey, 2008-2012 [United States]: Public Use Microdata Sample: Artist Extract
- Summary
- 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
- http://library.link/vocab/creatorName
-
- United States. Bureau of the Census
- Inter-university Consortium for Political and Social Research [distributor]
- Label
- American Community Survey, 2008-2012 [United States]: Public Use Microdata Sample: Artist Extract
- Note
-
- 2007-11--2012-12
- 35529
- Control code
- ICPSR35529.v1
- Governing access note
- Access restricted to subscribing institutions
- Label
- American Community Survey, 2008-2012 [United States]: Public Use Microdata Sample: Artist Extract
- Note
-
- 2007-11--2012-12
- 35529
- Control code
- ICPSR35529.v1
- Governing access note
- Access restricted to subscribing institutions
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.bowdoin.edu/portal/American-Community-Survey-2008-2012-United/w5OjXtkk_-k/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.bowdoin.edu/portal/American-Community-Survey-2008-2012-United/w5OjXtkk_-k/">American Community Survey, 2008-2012 [United States]: Public Use Microdata Sample: Artist Extract</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.bowdoin.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.bowdoin.edu/">Bowdoin College Library</a></span></span></span></span></div>