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Census 2010 ZIP Code Demographic Profile Dataset
Decision-Making Information
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ProximityOne visual analysis resources
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visually analyze clients/markets
site analysis using 1 mile radius


$median household income
patterns by census tract - Houston

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113th Congressional Districts

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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
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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)
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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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This section provides access to selected fields from the Census 2010 ZIP Code Tabulation Area Demographic Profile Summary File (DPSF) for each/all Census 2010 ZIP Code Tabulation Areas (ZCTAs) via an interactive table. The full set of subject matter items for each ZCTA is described in the scroll box below. Contact us for more information.

Census 2010 ZIP Code (ZCTA) Characteristics -- interactive table
  - selected items from full ZIPDP2010 dataset
  - Click column header to sort; click again to sort other direction.
  - See related interactive tables

Usage Notes About Ranking Table
Key in ZIP code then click Find ZIP button; click ShowAll between ZIP queries.

Columns LandSqMt (Land Area in Square Meters) and WaterSqMt (Water Area in Square Meters) are shown as text/character fields, left-justified, not intended for ranking use. Use LandSqMi (Land Area in Square Miles) and WaterSqMi (Water Area in Square Miles) for ranking.

ZIPDP2010 Data Fields and Description
Identification Fields/CodesFieldName
State Abbreviation (USPS)STUSAB (2)
State FIPS CodeSTATE (2)
ZIP Code Tabulation Area Code (5 digit)ZCTA5 (5)
Land Area; square metersAREALAND (14)
Water Area; square metersAREAWATR (14)
Internal Point (Latitude)INTPTLAT (11.6)
Internal Point (Longitude)
Subject Matter FieldsFieldName
1. Gender and Age 
  Universe: Total population 
    Under 5 yearsD001002
    5 to 9 yearsD001003
    10 to 14 yearsD001004
    15 to 19 yearsD001005
    20 to 24 yearsD001006
    25 to 29 yearsD001007
    30 to 34 yearsD001008
    35 to 39 yearsD001009
    40 to 44 yearsD001010
    45 to 49 yearsD001011
    50 to 54 yearsD001012
    55 to 59 yearsD001013
    60 to 64 yearsD001014
    65 to 69 yearsD001015
    70 to 74 yearsD001016
    75 to 79 yearsD001017
    80 to 84 yearsD001018
    85 years and overD001019
    Under 5 yearsD001021
    5 to 9 yearsD001022
    10 to 14 yearsD001023
    15 to 19 yearsD001024
    20 to 24 yearsD001025
    25 to 29 yearsD001026
    30 to 34 yearsD001027
    35 to 39 yearsD001028
    40 to 44 yearsD001029
    45 to 49 yearsD001030
    50 to 54 yearsD001031
    55 to 59 yearsD001032
    60 to 64 yearsD001033
    65 to 69 yearsD001034
    70 to 74 yearsD001035
    75 to 79 yearsD001036
    80 to 84 yearsD001037
    85 years and overD001038
    Under 5 yearsD001040
    5 to 9 yearsD001041
    10 to 14 yearsD001042
    15 to 19 yearsD001043
    20 to 24 yearsD001044
    25 to 29 yearsD001045
    30 to 34 yearsD001046
    35 to 39 yearsD001047
    40 to 44 yearsD001048
    45 to 49 yearsD001049
    50 to 54 yearsD001050
    55 to 59 yearsD001051
    60 to 64 yearsD001052
    65 to 69 yearsD001053
    70 to 74 yearsD001054
    75 to 79 yearsD001055
    80 to 84 yearsD001056
    85 years and overD001057
2. Median Age by Gender 
  Universe: Total population 
  Median age- 
  Total PopulationD002001
3. Gender for the Population 16 Years and Over 
  Universe: Population 16 years and over 
4. Gender for the Population 18 Years and Over 
  Universe: Population 18 years and over 
5. Gender for the Population 21 Years and Over 
  Universe: Population 21 years and over 
6. Gender for the Population 62 Years and Over 
  Universe: Population 62 years and over 
7. Gender for the Population 65 Years and Over 
  Universe: Population 65 years and over 
8. Race 
  Universe: Total population 
  Population of one race:D008002
    Black or African AmericanD008004
    American Indian and Alaska NativeD008005
    Asian IndianD008007
    Other AsianD008013
    Native Hawaiian and Other Pacific Islander:D008014
    Native HawaiianD008015
    Guamanian or ChamorroD008016
    Other Pacific IslanderD008018
    Some Other RaceD008019
  Population of Two or More RacesD008020
    White; American Indian and Alaska NativeD008021
    White; AsianD008022
    White; Black or African AmericanD008023
    White; Some Other RaceD008024
9. Race (Total Races Tallied) 
  Universe: Total races tallied 
  Race alone or in combination with one or more other races: 
    Black or African AmericanD009002
    American Indian & Alaska NativeD009003
    Native Hawaiian & Other Pacific IslanderD009005
    Some Other RaceD009006
10. Hispanic or Latino by Specific Origin 
  Universe: Total population 
  Hispanic or Latino (of any race):D010002
    Puerto RicanD010004
    Other Hispanic or LatinoD010006
  Not Hispanic or LatinoD010007
11. Hispanic or Latino and Race 
  Universe: Total population 
  Hispanic or Latino:D011002
    White aloneD011003
    Black or African American aloneD011004
    American Indian and Alaska Native aloneD011005
    Asian aloneD011006
    Native Hawaiian and Other Pacific Islander aloneD011007
    Some Other Race aloneD011008
    Two or More RacesD011009
  Not Hispanic or Latino:D011010
    White aloneD011011
    Black or African American aloneD011012
    American Indian and Alaska Native aloneD011013
    Asian aloneD011014
    Native Hawaiian and Other Pacific Islander aloneD011015
    Some Other Race aloneD011016
    Two or More RacesD011017
12. Relationship 
  Universe: Total population 
  in households:D012002
     Own child under 18 yearsD012006
    Other relativesD012007
     Under 18 yearsD012008
    65 years and overD012009
     Under 18 yearsD012011
    65 years and overD012012
     Unmarried partnerD012013
  in group quarters:D012014
    Institutionalized population:D012015
    Noninstitutionalized population:D012018
13. Households by Type 
  Universe: Households 
  Family households (families)D013002
     with own children under 18 yearsD013003
    Husband-wife familyD013004
     with own children under 18 yearsD013005
    Male householder, no wife presentD013006
     with own children under 18 yearsD013007
    Female householder, no husband presentD013008
     with own children under 18 yearsD013009
    Nonfamily householdsD013010
     Householder living alone:D013011
       65 years and overD013013
       65 years and overD013015
14. Households with Individuals Under 18 Years 
  Universe: Households with individuals under 18 years 
15. Households with Individuals 65 Years and Over 
  Universe: Households with individuals 65 years and over 
16. Average Household Size 
  Universe: Households 
  Average household sizeD016001
17. Average Family Size 
  Universe: Families 
  Average family sizeD017001
18. Housing Occupancy 
  Universe: Total housing units 
    Occupied housing unitsD018002
    Vacant housing units:D018003
     for rentD018004
    Rented, not occupiedD018005
     for sale onlyD018006
    Sold, not occupiedD018007
     for seasonal, recreational or occasional useD018008
    All other vacantsD018009
19. Homeowner Vacancy Rate 
  Universe: Owner-occupied, vacant for sale, and vacant sold but not occupied housing units 
  Homeowner vacancy rate (percent)D019001
20. Rental Vacancy Rate 
  Universe: Renter-occupied, vacant for rent, and vacant rented but not occupied housing units 
  Rental vacancy rate (percent)D020001
21. Housing Tenure 
  Universe: Occupied housing units 
  Owner-occupied housing unitsD021002
  Renter-occupied housing unitsD021003
22. Population in Occupied Housing Units by Tenure 
  Universe: Population in occupied housing units 
  Owner-occupied housing unitsD022001
  Renter-occupied housing unitsD022002
23. Average Household Size of Occupied Housing Units by Tenure 
  Universe: Occupied housing units 
  Average household size- 

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.

ZCTALandSqMt WaterSqMtLandSqMiWaterSqMiPopulation Housing UnitsLatitudeLongitude

Example. Use first four ZCTA rows/columns from the ranking table in a spreadsheet. 1) copy and paste the header row above into a new spreadsheet. 2) set the first column in the spreadsheet to "text" to preserve lead zeroes on ZCTAs. 3) copy the four rows from ranking table above and paste in row 2, column 1. When row(s) are colored blue in the ranking table, they have been copied to clipboard.
Tip for easy block selection: left-click 00601 ZCTA row; scroll down to 00606 ZCTA row; depress and hold shift key; left click 00606 row. All four ZCTAs/rows now selected (blue).

Additional Information
Proximity 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 resources (software, data, methodologies) to analyze their own data integrated with other data.

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