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113th Congressional Districts Demographic-Economic Ranking Tables
  -- Economic Characteristics
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Median Household Income
Houston, TX ZIP Code Areas
developed using CVXE GIS
click graphic for larger view; more details


Visual analysis with ProximityOne tools
click graphic for info; hover to pause


 
visually analyze clients/markets
site analysis using 1 mile radius

S1

$median household income
patterns by census tract - Houston

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113th Congressional Districts

Click for info

US Asian Indian population 2010

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geocoded students and school
McKinney ISD, TX

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geocoded students and school
with tax parcels & streets

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high school attendance zones
with schools by type

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%high school graduates by
census tract - Puerto Rico

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Austin, TX MSA counties &
places 10K+ population markers

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Appalachia counties (green) &
coalfield counties (orange)

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China provinces percent urban &
cities (markers) by state plan

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Honolulu census tracts (red)
& census blocks


Central Park area NYC

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Kansas City Metro & Counties
Home Depot locations (markers)

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World Cities; focus on Spain

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March 2013. The U.S. national scope 113th Congressional District Demographic-Economic Dataset contains approximately 600 subject matter items tabulated for each city/place organized into four subject matter groups:
  • General Demographics
  • Social Characteristics
  • Economic Characteristics (this section)
  • Housing Characteristics

October 2016. More up-to-date data are now available from ACS2015. See:
  • General Demographics
  • Social Characteristics
  • Economic Characteristics
  • Housing Characteristics

These data are based on the American Community Survey (ACS) 2011 1-year estimates. See notes on importance of these data. See similar ranking tables for: Census Tracts | School Districts | Cities | ZIP Codes | State, Metro & County.

Use the interactive ranking table in this section to view, query, rank, compare economic 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.

Economic Characteristics Items
EMPLOYMENT STATUS
  E001         Population 16 years and over
  E002 In labor force
  E003     Civilian labor force
  E004         Employed
  E005         Unemployed
  E006     Armed Forces
  E007 Not in labor force
  E008     Civilian labor force
  E009 Percent Unemployed
  E010     Females 16 years and over
  E011 In labor force
  E012     Civilian labor force
  E013         Employed
  E014     Own children under 6 years
  E015 All parents in family in labor force
  E016     Own children 6 to 17 years
  E017 All parents in family in labor force
COMMUTING TO WORK
  E018     Workers 16 years and over
  E019 Car, truck, or van -- drove alone
  E020 Car, truck, or van -- carpooled
  E021 Public transportation (excluding taxicab)
  E022 Walked
  E023 Other means
  E024 Worked at home
  E025 Mean travel time to work (minutes)
OCCUPATION
  E026     Civilian employed population 16 years and over
  E027 Management, business, science, and arts occupations
  E028 Service occupations
  E029 Sales and office occupations
  E030 Natural resources, construction, and maintenance occupations
  E031 Production, transportation, and material moving occupations
INDUSTRY
  E032     Civilian employed population 16 years and over
  E033 Agriculture, forestry, fishing and hunting, and mining
  E034 Construction
  E035 Manufacturing
  E036 Wholesale trade
  E037 Retail trade
  E038 Transportation and warehousing, and utilities
  E039 Information
  E040 Finance and insurance, and real estate and rental and leasing
  E041 Professional, scientific, and management, and administrative and waste management services
  E042 Educational services, and health care and social assistance
  E043 Arts, entertainment, and recreation, and accommodation and food services
  E044 Other services, except public administration
  E045 Public administration
CLASS OF WORKER
  E046     Civilian employed population 16 years and over
  E047 Private wage and salary workers
  E048 Government workers
  E049 Self-employed in own not incorporated business workers
  E050 Unpaid family workers
INCOME AND BENEFITS (IN 2010 INFLATION-ADJUSTED DOLLARS)
  E051     Total households
  E052 Less than $10,000
  E053 $10,000 to $14,999
  E054 $15,000 to $24,999
  E055 $25,000 to $34,999
  E056 $35,000 to $49,999
  E057 $50,000 to $74,999
  E058 $75,000 to $99,999
  E059 $100,000 to $149,999
  E060 $150,000 to $199,999
  E061 $200,000 or more
  E062 Median household income (dollars)
  E063 Mean household income (dollars)
  E064 With earnings
  E065     Mean earnings (dollars)
  E066 With Social Security
  E067     Mean Social Security income (dollars)
  E068 With retirement income
  E069     Mean retirement income (dollars)
  E070 With Supplemental Security Income
  E071     Mean Supplemental Security Income (dollars)
  E072 With cash public assistance income
  E073     Mean cash public assistance income (dollars)
  E074 With Food Stamp/SNAP benefits in the past 12 months
  E075     Families
  E076 Less than $10,000
  E077 $10,000 to $14,999
  E078 $15,000 to $24,999
  E079 $25,000 to $34,999
  E080 $35,000 to $49,999
  E081 $50,000 to $74,999
  E082 $75,000 to $99,999
  E083 $100,000 to $149,999
  E084 $150,000 to $199,999
  E085 $200,000 or more
  E086 Median family income (dollars)
  E087 Mean family income (dollars)
  E088 Per capita income (dollars)
  E089     Nonfamily households
  E090 Median nonfamily income (dollars)
  E091 Mean nonfamily income (dollars)
  E092 Median earnings for workers (dollars)
  E093 Median earnings for male full-time, year-round workers (dollars)
  E094 Median earnings for female full-time, year-round workers (dollars)
HEALTH INSURANCE COVERAGE
  E095 Civilian noninstitutionalized population
  E096   With health insurance coverage
  E097     With private health insurance
  E098     With public coverage
  E099   No health insurance coverage
  E100 Civilian noninstitutionalized population under 18 years
  E101   No health insurance coverage
  E102 Civilian noninstitutionalized population 18 to 64 years
  E103   In labor force:
  E104     Employed:   E105       With health insurance coverage
  E106         With private health insurance
  E107         With public coverage
  E108       No health insurance coverage
  E109     Unemployed:
  E110       With health insurance coverage
  E111         With private health insurance
  E112         With public coverage
  E113       No health insurance coverage
  E114   Not in labor force:
  E115     With health insurance coverage
  E116       With private health insurance
  E117       With public coverage
  E118     No health insurance coverage
PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL
  E119 All families
  E120     With related children under 18 years
  E121         With related children under 5 years only
  E122 Married couple families
  E123     With related children under 18 years
  E124         With related children under 5 years only
  E125 Families with female householder, no husband present
  E126     With related children under 18 years
  E127         With related children under 5 years only
  E128 All people
  E129 Under 18 years
  E130     Related children under 18 years
  E131         Related children under 5 years
  E132         Related children 5 to 17 years
  E133 18 years and over
  E134     18 to 64 years
  E135     65 years and over
  E136 People in families
  E137 Unrelated individuals 15 years and over

Examples
To determine the 113th congressional districts having the highest median family income in California:
- Click ShowAll button. Click State dropdown and select California.
- Use horizontal scroll bar to make column E062 visible.
- Click once on E062 column header then click once more on E062 column header.
- CA18 has the highest $MHI among all CA districts: $97,001.


113th Congressional Districts Demographic-Economic Ranking Tables -- Economic Characteristics
  Click column header to sort; click again to sort other direction.
  Access corresponding subject matter for U.S. and states at U.S. & States Economic Characteristics
  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 2011 estimates.
  • Name/Code column: State postal abbreviation followed by CD code
  • Use Select Area to select/filter district.
      - 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.
      - New York 113th Congressional District 12 -- NY12 -- is used as an example.
  • 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 2011. P2010 is the total population count as of April 1, 2010.

Use find codes/names to determine census tract, city/place, school district etc. geocode/area name based on address.

Importance of these Data
These data provide "richer" demographic-economic characteristics for national scope 113th Congressional Districts. While Census 2010 provides data similar to those items in the General Demographics section, only 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 school district dataset are supplemented by a wide range of additional subject matter. ACS 2012 data become available for 113th Congressional Districts in September 2013.

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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