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- S&O Desktop - S&O Server - S&O Profiles|Reports > Comparative > Narrative > Site Analysis CVXE GIS Tools Data Resources Guide - projections to 2060 Related Sections - Situation & Outlook - Applications Gallery - States - Congressional District - School Districts - Counties - Cities/Places - Tracts/Neighborhoods - Block Groups - Census Blocks - Urban Areas Demographic-Economic Estimates-Projections GIS Thematic Mapping Visual Analysis Tools Ranking Tables National Scope Demographic Change 2000-2010 - States - Metros - Congressional District - School Districts - Counties - Cities/Places - Census Tracts |
U.S. State Metro County Demographic-Economic Ranking Tables -- General Demographics
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 (this section) • Social Characteristics • Economic Characteristics • Housing Characteristics 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 general demographics 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. General Demographics Items
AGE AND GENDER
D001 Total population D002 Male D003 Female D004 Under 5 years D005 5 to 9 years D006 10 to 14 years D007 15 to 19 years D008 20 to 24 years D009 25 to 34 years D010 35 to 44 years D011 45 to 54 years D012 55 to 59 years D013 60 to 64 years D014 65 to 74 years D015 75 to 84 years D016 85 years and over D017 Median age (years) D018 18 years and over D019 21 years and over D020 62 years and over D021 65 years and over D022 18 years and over D023 Male D024 Female D025 65 years and over D026 Male D027 Female RACE D028 Total population D029 One race D030 Two or more races D031 One race D032 White D033 Black or African American D034 American Indian and Alaska Native D035 Cherokee tribal grouping D036 Chippewa tribal grouping D037 Navajo tribal grouping D038 Sioux tribal grouping D039 Asian D040 Asian Indian D041 Chinese D042 Filipino D043 Japanese D044 Korean D045 Vietnamese D046 Other Asian D047 Native Hawaiian and Other Pacific Islander D048 Native Hawaiian D049 Guamanian or Chamorro D050 Samoan D051 Other Pacific Islander D052 Some other race D053 Two or more races D054 White and Black or African American D055 White and American Indian and Alaska Native D056 White and Asian D057 Black or African American and American Indian and Alaska Native Race alone or in combination with one or more other races D058 Total population D059 White D060 Black or African American D061 American Indian and Alaska Native D062 Asian D063 Native Hawaiian and Other Pacific Islander D064 Some other race HISPANIC OR LATINO AND RACE D065 Total population D066 Hispanic or Latino (of any race) D067 Mexican D068 Puerto Rican D069 Cuban D070 Other Hispanic or Latino D071 Not Hispanic or Latino D072 White alone D073 Black or African American alone D074 American Indian and Alaska Native alone D075 Asian alone D076 Native Hawaiian and Other Pacific Islander alone D077 Some other race alone D078 Two or more races D079 Two races including Some other race D080 Two races excluding Some other race, and Three or more races D081 Total housing units Examples To determine the counties with the largest Asian Indians alone population: - Click ShowAll button. - In the Select Area edit box, key in ..co (these exact 4 characters) - Click Select Area - Use horizontal scroll bar to make column D040 visible. - Click once on D040 column header then click once more on D040 column header (sort descending). - Scroll to top: Queens County, NY the largest Asian Indian alone population among all counties: 140,882. U.S. State Metro County Demographic-Economic Ranking Tables -- General Demographics 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). 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 data become available in December 2013. Using Data from Ranking Table in a Spreadsheet Open a new spreadsheet using your preferred software/application. Copy the "table header" shown below to clipboard (only the one colored "line" below) and then paste in spreadsheet row one. Then copy (to clipboard) data rows of interest and paste to spreadsheet row two.
Example and notes. Use all state level rows/columns from the ranking table into a spreadsheet. 1) copy and paste the header row above into a new spreadsheet, cell A1. ... it is essential that the above row be copied entirely (through D081). ... some browsers may require a "paste special" as unicode or text. 2) copy the state rows from ranking table above and paste in cell A2. ... When a row/rows are selected in the ranking table, they are colored blue. ... To copy the selected rows to clipboard, right-click in blue row and select Copy option. Tips for block selection and transfer to spreadsheet: • in ranking table above, left-click Alabama row (that row now turns blue). • depress and hold shift key (Alabama row stays blue). • scroll down to Wyoming. • left click Wyoming row (all state rows now selected, colored blue). • release shift key. • right-click in blue row and select Copy option. • in spreadsheet, right click in cell A2 (all state rows paste). Additional Information ProximityOne develops geographic-demographic-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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