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U.S. State Metro County Demographic-Economic Ranking Tables -- Housing Characteristics
click graphic for info; hover to pause New December 2012. The U.S. national scope U.S. State Metro County Demographic-Economic Dataset contains approximately 600 subject matter items tabulated for the U.S. and each state, metro and county organized into four subject matter groups: • General Demographics • Social Characteristics • Economic Characteristics • Housing Characteristics (this section) These data are based on the American Community Survey (ACS) 2011 5-year estimates. See notes on importance of these data. See corresponding ranking tables for: Census Tracts | Cities | School Districts | ZIP Codes. Use the interactive ranking table in this section to view, query, rank, compare housing characteristics of the population, households and families in 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 S&O Server for more detail, alternative formats and data extraction. Housing Characteristics Items
HOUSING OCCUPANCY
H001 Total housing units H002 Occupied housing units H003 Vacant housing units H004 Homeowner vacancy rate H005 Rental vacancy rate UNITS IN STRUCTURE H006 Total housing units H007 1-unit, detached H008 1-unit, attached H009 2 units H010 3 or 4 units H011 5 to 9 units H012 10 to 19 units H013 20 or more units H014 Mobile home H015 Boat, RV, van, etc. YEAR STRUCTURE BUILT H016 Total housing units H017 Built 2005 or later H018 Built 2000 to 2004 H019 Built 1990 to 1999 H020 Built 1980 to 1989 H021 Built 1970 to 1979 H022 Built 1960 to 1969 H023 Built 1950 to 1959 H024 Built 1940 to 1949 H025 Built 1939 or earlier ROOMS H026 Total housing units H027 1 room H028 2 rooms H029 3 rooms H030 4 rooms H031 5 rooms H032 6 rooms H033 7 rooms H034 8 rooms H035 9 rooms or more H036 Median rooms BEDROOMS H037 Total housing units H038 No bedroom H039 1 bedroom H040 2 bedrooms H041 3 bedrooms H042 4 bedrooms H043 5 or more bedrooms HOUSING TENURE H044 Occupied housing units H045 Owner-occupied H046 Renter-occupied H047 Average household size of owner-occupied unit H048 Average household size of renter-occupied unit YEAR HOUSEHOLDER MOVED INTO UNIT H049 Occupied housing units H050 Moved in 2005 or later H051 Moved in 2000 to 2004 H052 Moved in 1990 to 1999 H053 Moved in 1980 to 1989 H054 Moved in 1970 to 1979 H055 Moved in 1969 or earlier VEHICLES AVAILABLE H056 Occupied housing units H057 No vehicles available H058 1 vehicle available H059 2 vehicles available H060 3 or more vehicles available HOUSE HEATING FUEL H061 Occupied housing units H062 Utility gas H063 Bottled, tank, or LP gas H064 Electricity H065 Fuel oil, kerosene, etc. H066 Coal or coke H067 Wood H068 Solar energy H069 Other fuel H070 No fuel used SELECTED CHARACTERISTICS H071 Occupied housing units H072 Lacking complete plumbing facilities H073 Lacking complete kitchen facilities H074 No telephone service available OCCUPANTS PER ROOM H075 Occupied housing units H076 1.00 or less H077 1.01 to 1.50 H078 1.51 or more VALUE H079 Owner-occupied units H080 Less than $50,000 H081 $50,000 to $99,999 H082 $100,000 to $149,999 H083 $150,000 to $199,999 H084 $200,000 to $299,999 H085 $300,000 to $499,999 H086 $500,000 to $999,999 H087 $1,000,000 or more H088 Median (dollars) MORTGAGE STATUS H089 Owner-occupied units H090 Housing units with a mortgage H091 Housing units without a mortgage SELECTED MONTHLY OWNER COSTS (SMOC) H092 Housing units with a mortgage H093 Less than $300 H094 $300 to $499 H095 $500 to $699 H096 $700 to $999 H097 $1,000 to $1,499 H098 $1,500 to $1,999 H099 $2,000 or more H100 Median (dollars) H101 Housing units without a mortgage H102 Less than $100 H103 $100 to $199 H104 $200 to $299 H105 $300 to $399 H106 $400 or more H107 Median (dollars) SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME (SMOCAPI) H108 Housing units with a mortgage (excluding units where SMOCAPI cannot be computed) H109 Less than 20.0 percent H110 20.0 to 24.9 percent H111 25.0 to 29.9 percent H112 30.0 to 34.9 percent H113 35.0 percent or more H114 Not computed H115 Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed) H116 Less than 10.0 percent H117 10.0 to 14.9 percent H118 15.0 to 19.9 percent H119 20.0 to 24.9 percent H120 25.0 to 29.9 percent H121 30.0 to 34.9 percent H122 35.0 percent or more H123 Not computed GROSS RENT H124 Occupied units paying rent H125 Less than $200 H126 $200 to $299 H127 $300 to $499 H128 $500 to $749 H129 $750 to $999 H130 $1,000 to $1,499 H131 $1,500 or more H132 Median (dollars) H133 No rent paid GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME (GRAPI) H134 Occupied units paying rent (excluding units where GRAPI cannot be computed) H135 Less than 15.0 percent H136 15.0 to 19.9 percent H137 20.0 to 24.9 percent H138 25.0 to 29.9 percent H139 30.0 to 34.9 percent H140 35.0 percent or more H141 Not computed Examples To determine the county with the highest median value (occupied housing units) in Texas: - Click ShowAll button. - Key in ..co48 (these exact 6 characters) into the Select Area edit box (co: county 48: Texas) - Click Select Area - Use horizontal scroll bar to make column H088 visible. - Click once on H088 column header then click once more on H088 column header (to sort descending). - The topmost value: King County has the highest $MHV among all Texas counties: $275,000. U.S. State Metro County Demographic-Economic Ranking Tables -- Housing Characteristics Click column header to sort; click again to sort other direction. See usage notes below table. See related Ranking Tables Main Page Usage Notes • Column P2010 is the Census 2010 total population. All other items are estimates centric to mid-2009. • Name/Code column: area name followed by code • Use Select Area to select/filter type or area or area name. - 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. - Select Area values ("." characters are part of the value): ..s -- states ..co -- all counties ..m -- all CBSAs (Core-Based Statistical Area) ..m1 -- all MSAs ..m2 -- all MISAs m1ccccc -- (no dots) -- one specific MSA (code ccccc) for any geography with this MSA/CBSA code m2ccccc -- (no dots) -- one specific MISA (code ccccc) for any geography with this MISA/CBSA code the start-up/default setting is m126420 clicking Select Area button with setting m126420 selects the Houston, TX MSA and all component counties. • Click ShowAll button between specific queries. • Cells with -1 value could not be estimated (for this geography and this time frame). Comparing D001 total population estimate to P2010 Census 2010 population. D001 is the total population estimate for the period 2007-2011 (thus centric to mid-2009). P2010 is the total population count as of April 1, 2010. While these numbers should not be used to compute population change, the two side-by-side numbers give some sense of change. Use find codes/names to determine area name/code based on address. Importance of these Data These data provide "richer" demographic-economic characteristics for the U.S., states, metros and counties. While Census 2010 provides data similar to those items in the General Demographics section, only ACS 2010 and ACS 2011 sourced data provide details on topics such as income and poverty, labor force and employment, housing value and costs, educational participation and attainment, language spoken at home, among many related items. The approximate 600 items accessible via the dataset are supplemented by a wide range of additional subject matter. ACS 2012 school district data become available in December 2013. 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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