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PUMA 2012 Demographic-Economic Interactive Table -- Public Use Microdata Area Social Characteristics
The U.S. national scope Public Use Microdata Area (PUMA) 2012 Demographic-Economic Dataset contains approximately 600 subject matter items tabulated for each 2010 PUMA organized into four subject matter groups: • General Demographics • Social Characteristics (this section) • Economic Characteristics • Housing Characteristics These data are based on the American Community Survey (ACS) 2012 1-year estimates. More about these data. See similar ranking tables: Census Tracts | School Districts | Cities | ZIP Codes | State, Metro & County. Use the interactive ranking table in this section to view, query, rank, compare social characteristics of these areas. The scroll box shown below lists each of the subject matter items available for each area via the ranking table. The number at the left of the subject matter item is also used as the short name for the subject matter item in the column header in the ranking table. Use the CV APIGateway for more detail, alternative formats and data extraction. Social Characteristics Items -- scroll section
HOUSEHOLDS BY TYPE
S001 Total households S002 Family households (families) S003 With own children under 18 years S004 Married-couple family S005 With own children under 18 years S006 Male householder, no wife present, family S007 With own children under 18 years S008 Female householder, no husband present, family S009 With own children under 18 years S010 Nonfamily households S011 Householder living alone S012 65 years and over S013 Households with one or more people under 18 years S014 Households with one or more people 65 years and over S015 Average household size S016 Average family size RELATIONSHIP S017 Population in households S018 Householder S019 Spouse S020 Child S021 Other relatives S022 Nonrelatives S023 Unmarried partner MARITAL STATUS S024 Males 15 years and over S025 Never married S026 Now married, except separated S027 Separated S028 Widowed S029 Divorced S030 Females 15 years and over S031 Never married S032 Now married, except separated S033 Separated S034 Widowed S035 Divorced FERTILITY S036 Number of women 15 to 50 years old who had a birth in the past 12 months S037 Unmarried women (widowed, divorced, and never married) S038 Per 1,000 unmarried women S039 Per 1,000 women 15 to 50 years old S040 Per 1,000 women 15 to 19 years old S041 Per 1,000 women 20 to 34 years old S042 Per 1,000 women 35 to 50 years old GRANDPARENTS S043 Number of grandparents living with own grandchildren under 18 years S044 Responsible for grandchildren Years responsible for grandchildren S045 Less than 1 year S046 1 or 2 years S047 3 or 4 years S048 5 or more years S049 Number of grandparents responsible for own grandchildren under 18 years S050 Who are female S051 Who are married SCHOOL ENROLLMENT S052 Population 3 years and over enrolled in school S053 Nursery school, preschool S054 Kindergarten S055 Elementary school (grades 1-8) S056 High school (grades 9-12) S057 College or graduate school EDUCATIONAL ATTAINMENT S058 Population 25 years and over S059 Less than 9th grade S060 9th to 12th grade, no diploma S061 High school graduate (includes equivalency) S062 Some college, no degree S063 Associate's degree S064 Bachelor's degree S065 Graduate or professional degree S066 Percent high school graduate or higher S067 Percent bachelor's degree or higher VETERAN STATUS S068 Civilian population 18 years and over S069 Civilian veterans DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION S070 Total Civilian Noninstitutionalized Population S071 With a disability S072 Under 18 years S073 With a disability S074 18 to 64 years S075 With a disability S076 65 years and over S077 With a disability RESIDENCE 1 YEAR AGO S078 Population 1 year and over S079 Same house S080 Different house in the U.S. S081 Same county S082 Different county S083 Same state S084 Different state S085 Abroad PLACE OF BIRTH S086 Total population S087 Native S088 Born in United States S089 State of residence S090 Different state S091 Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s) S092 Foreign born U.S. CITIZENSHIP STATUS S093 Foreign-born population S094 Naturalized U.S. citizen S095 Not a U.S. citizen YEAR OF ENTRY S096 Population born outside the United States S097 Native S098 Entered 2000 or later S099 Entered before 2000 S100 Foreign born S101 Entered 2000 or later S102 Entered before 2000 WORLD REGION OF BIRTH OF FOREIGN BORN S103 Foreign-born population, excluding population born at sea S104 Europe S105 Asia S106 Africa S107 Oceania S108 Latin America S109 Northern America LANGUAGE SPOKEN AT HOME S110 Population 5 years and over S111 English only S112 Language other than English S113 Speak English less than "very well" S114 Spanish S115 Speak English less than "very well" S116 Other Indo-European languages S117 Speak English less than "very well" S118 Asian and Pacific Islander languages S119 Speak English less than "very well" S120 Other languages S121 Speak English less than "very well" ANCESTRY S122 Total population S123 American S124 Arab S125 Czech S126 Danish S127 Dutch S128 English S129 French (except Basque) S130 French Canadian S131 German S132 Greek S133 Hungarian S134 Irish S135 Italian S136 Lithuanian S137 Norwegian S138 Polish S139 Portuguese S140 Russian S141 Scotch-Irish S142 Scottish S143 Slovak S144 Subsaharan African S145 Swedish S146 Swiss S147 Ukrainian S148 Welsh S149 West Indian (excluding Hispanic origin groups) Examples To determine the percent population with bachelor's degree or higher (item S067) for a PUMA of interest ... click ShowAll button then key in a part of the PUMA name (e.g. NYC) in the Select Area edit box below the ranking table, then click the Select Area button. When the PUMA(s) display, scroll right to item S067 in the table. Click S067 header cell twice to view these areas ranked in descending order on S067. The highest ranked PUMA is "NYC-Manhattan Community District 1 & 2--Battery Park City, Greenwich Village & Soho" with 80.5%. PUMA Demographic-Economic Interactive Table -- 2012 Social Characteristics Click column header to sort; click again to sort other direction. Mouseover column header cell to view description or use scrollbox above. See usage notes below table. See related Ranking Tables Main Page. See PUMA geographic area definitions. Usage Notes • All subject matter items are estimates for 2012. • Name/Code column: PUMA name • Use Select Area to select/filter PUMA. - Click ShowAll button first. - Key in any part of name and click Select Area button. - Search will filter for any name with that exact, case sensitive, spelling. - Maricopa is used as an example; note if clicking Select Area, many Maricopa named areas are located. ... the more specific Maricopa County may be preferred. • Optionally use splitter bar in header between cells to expand/shrink column width. - Click on splitter bar and drag left or right. • Click ShowAll button between specific queries. • Cells with -1 value could not be estimated (for this geography and this time frame). Where's my PUMA? Use the PUMA 2010 interactive table to determine which PUMA contains or intersects with a census tract, city/place or county. A more comprehensive method is to use the CV XE GIS tools and PUMA shapefile. See additional information. About these Data These data are the first "richer" demographic-economic characteristics for 2010 vintage PUMAs. 2013 annual updates for the 2010 vintage PUMAs will be available fall 2014. PUMAs cover the U.S. wall-to-wall (2,378 areas) providing the greatest geographic granularity for which "current year" demographics are available. Custom estimates may be developed using the Public Use Microdata Samples (PUMS) supplementing data provided here. PUMAs have a minimum population of 100,000 and are typically defined to be approximately that size. As a result, data correspond to geographic areas of similar population size. 2010 vintage PUMAs conform to state boundaries and where possible/applicable counties and Census 2010 census tract boundaries. Typical PUMA configurations: • One or more contiguous partial or whole counties (Madera County CA is one PUMA). • A group of contiguous census tracts within one county (Los Angeles County CA contains 69 PUMAs). Additional Information ProximityOne develops geodemographic-economic data and analytical tools and helps organizations knit together and use diverse data in a decision-making and analytical framework. We develop custom demographic/economic estimates and projections, develop geographic and geocoded address files, and assist with impact and geospatial analyses. Wide-ranging organizations use our tools (software, data, methodologies) to analyze their own data integrated with other data. Follow ProximityOne on Twitter at www.twitter.com/proximityone. Contact us (888-364-7656) with questions about data covered in this section or to discuss custom estimates, projections or analyses for your areas of interest. |
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