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ZIP Code Area 64112 Detailed Age-Race/Origin Profile

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Visual analysis with ProximityOne tools
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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

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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
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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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What are the population patterns by age/age group in census tract(s) or ZIP code area(s) of interest? How do these patterns vary by race/origin? What can these data tell you about variation/potential in business opportunities? What tracts or ZIP code areas might have underserved populations relative to your programs/goals? These types of questions can be answered by the types of data/data organization reviewed here.

Detailed age-race/origin demographics for ZIP Code area 64112 are provided in this section.
  • Table 1 -- single year of age (SYOA) by race/origin
  • Table 2 -- selected age cohorts by race/origin
Similarly structured profiles are also available for census tracts, counties and other geography. View profiles for other ZIP Code areas.

Tables shown below can be used to view the size of a specific age or age-group relative to the total population. There are a myriad of more focused applications such as estimating voter propensities/outcomes for certain combinations of age by gender by race/origin combinations.The tables have been developed using the ProximityOne Modeler2 software (more below).

ZIP Code Area 64112

  View developed with CV XE GIS.

ZIP Code 64112 is located in Jackson County, MO (29095).

More detailed demographic-economic data for all ZIP codes are available in these interactive tables: general demographics, social characteristics, economic characteristics and housing characteristics. See the this guide for more information about ZIP code data resources.

Data presented in the tables below are based on the Census-sourced single year of age demographics for sub-county areas from the Census 2010 Summary File 1 (SF1). The Census 2010 SF1 "PCT012" (PCT: Population Census Tract and higher geography) tables provide single year of age by gender by race/origin population data for U.S. national scope census tract, ZIP code area and higher level geography. See more about the content and structure of the PCT012 tables.

Data shown in the tables are also available structured as Excel files and with data presented as percentages in addition to population values. The data are also available as datasets organized in alternative structures to facilitate other types of analysis (e.g., a set of ZIP Code areas with each record corresponding to one ZIP Code area). The same scope of subject matter is available for current year estimates and projections to 2020. Contact us (888.364.7656) for more information about these options.

ProximityOne uses these data to develop census tract, ZIP code area and county-up geography SYOA estimates and projections to 2020. See more about 5-year projections.

Table 1. Single Year of Age by Race/Origin; 2010; Area: 64112 -- scroll section
AgeTotalWhite
alone
Black
alone
AIAN /1
alone
Asian
alone
NHOPI /2
alone
Other race
alone
Two or
more races
Hispanic
any race
Total population 8,147 6,903 272 20 698 4 82 168 310
Age 0 64 50 1 0 7 0 1 5 3
Age 1 48 41 0 1 3 0 0 3 4
Age 2 36 30 1 0 2 0 0 3 6
Age 3 36 32 0 0 2 0 0 2 0
Age 4 43 39 0 0 2 0 0 2 1
Age 5 43 40 0 0 1 0 0 2 3
Age 6 40 37 0 0 2 0 0 1 2
Age 7 32 26 0 0 3 0 1 2 1
Age 8 34 31 0 0 2 0 0 1 2
Age 9 32 27 1 1 1 0 0 2 1
Age 10 31 25 3 1 1 0 1 0 1
Age 11 43 36 0 1 5 0 0 1 0
Age 12 26 23 0 0 2 0 0 1 1
Age 13 28 24 2 0 2 0 0 0 0
Age 14 32 28 0 0 1 0 0 3 2
Age 15 29 24 3 0 2 0 0 0 1
Age 16 29 25 0 0 1 0 1 2 2
Age 17 31 28 0 0 2 0 0 1 1
Age 18 78 54 9 0 8 0 3 4 7
Age 19 129 98 18 1 6 0 0 6 3
Age 20 131 91 16 0 16 0 2 6 8
Age 21 126 95 3 1 20 0 2 5 5
Age 22 249 143 5 0 91 0 3 7 9
Age 23 368 272 5 0 77 1 7 6 8
Age 24 444 346 14 0 67 0 4 13 16
Age 25 405 323 14 0 54 0 2 12 17
Age 26 334 278 6 0 36 0 7 7 21
Age 27 271 222 5 0 32 0 7 5 12
Age 28 296 242 6 2 35 0 1 10 7
Age 29 220 181 7 1 25 0 2 4 15
Age 30 168 130 6 1 25 0 2 4 10
Age 31 134 114 5 0 11 0 2 2 8
Age 32 129 110 0 1 13 0 1 4 3
Age 33 134 107 6 0 18 0 1 2 2
Age 34 91 74 4 0 10 0 3 0 6
Age 35 85 68 4 0 9 0 1 3 7
Age 36 88 62 6 1 12 0 3 4 6
Age 37 75 60 4 0 9 0 1 1 4
Age 38 69 61 0 0 5 0 1 2 4
Age 39 89 79 3 0 4 0 2 1 5
Age 40 89 75 4 1 6 0 1 2 4
Age 41 81 71 3 0 4 0 0 3 2
Age 42 55 46 4 0 4 1 0 0 1
Age 43 84 72 7 1 3 0 1 0 3
Age 44 77 66 6 1 2 0 0 2 3
Age 45 88 78 4 1 3 1 0 1 3
Age 46 79 74 1 0 1 0 1 2 1
Age 47 98 87 3 0 4 0 2 2 4
Age 48 87 73 11 0 3 0 0 0 3
Age 49 112 104 5 1 1 0 0 1 0
Age 50 75 65 5 0 3 0 2 0 8
Age 51 96 91 1 0 2 0 2 0 4
Age 52 84 77 5 0 1 0 0 1 1
Age 53 92 89 2 1 0 0 0 0 2
Age 54 82 75 2 0 2 0 1 2 5
Age 55 110 105 2 1 1 0 1 0 6
Age 56 118 104 6 0 6 0 0 2 3
Age 57 109 102 2 0 0 0 1 4 6
Age 58 117 110 3 0 2 0 1 1 5
Age 59 120 116 2 0 0 0 0 2 3
Age 60 110 98 9 0 1 0 1 1 2
Age 61 104 100 3 0 0 1 0 0 2
Age 62 95 92 1 0 1 0 1 0 2
Age 63 120 117 1 0 2 0 0 0 3
Age 64 75 73 2 0 0 0 0 0 1
Age 65 81 74 2 0 3 0 0 2 3
Age 66 56 54 2 0 0 0 0 0 2
Age 67 76 71 2 0 2 0 1 0 1
Age 68 79 74 3 0 2 0 0 0 1
Age 69 54 50 1 0 3 0 0 0 0
Age 70 50 46 0 0 3 0 0 1 1
Age 71 44 36 5 0 3 0 0 0 0
Age 72 45 39 2 1 3 0 0 0 2
Age 73 27 27 0 0 0 0 0 0 0
Age 74 40 40 0 0 0 0 0 0 0
Age 75 39 37 0 0 2 0 0 0 0
Age 76 40 40 0 0 0 0 0 0 1
Age 77 31 30 0 0 0 0 1 0 0
Age 78 33 31 0 0 0 0 2 0 2
Age 79 50 50 0 0 0 0 0 0 2
Age 80 35 35 0 0 0 0 0 0 0
Age 81 28 28 0 0 0 0 0 0 0
Age 82 41 39 2 0 0 0 0 0 0
Age 83 32 32 0 0 0 0 0 0 0
Age 84 25 25 0 0 0 0 0 0 1
Age 85 22 20 0 0 0 0 2 0 2
Age 86 19 19 0 0 0 0 0 0 0
Age 87 12 12 0 0 0 0 0 0 0
Age 88 23 23 0 0 0 0 0 0 1
Age 89 9 9 0 0 0 0 0 0 0
Age 90 6 6 0 0 0 0 0 0 0
Age 91 8 7 0 0 1 0 0 0 0
Age 92 1 1 0 0 0 0 0 0 0
Age 93 4 2 2 0 0 0 0 0 0
Age 94 3 3 0 0 0 0 0 0 0
Age 95 1 1 0 0 0 0 0 0 0
Age 96 2 2 0 0 0 0 0 0 0
Age 97 1 1 0 0 0 0 0 0 0
Age 98 1 1 0 0 0 0 0 0 0
Age 99 0 0 0 0 0 0 0 0 0
Age 100-104 2 2 0 0 0 0 0 0 0
Age 105-110 0 0 0 0 0 0 0 0 0
Age 110 up 0 0 0 0 0 0 0 0 0

  1/ AIAN: American Indian/Alaska Native
  2/ NHOPI: Native Hawaiian/Other Pacific Islander

Table 2. Age by Race/Origin; Age Groups; 2010; Area: 64112
AgeTotalWhite
alone
Black
alone
AIAN /1
alone
Asian
alone
NHOPI /2
alone
Other race
alone
Two or
more races
Hispanic
any race
Total population 8,147 6,903 272 20 698 4 82 168 310
Age 0-4 148 121 2 1 12 0 1 11 13
Age 5-9 194 174 0 0 10 0 1 9 7
Age 10-14 166 142 4 3 11 0 1 5 5
Age 15-19 149 129 5 0 8 0 1 6 6
Age 20-24 713 481 51 2 141 0 10 28 32
Age 25-29 1,822 1,441 44 0 266 1 27 43 74
Age 30-34 947 777 24 5 109 0 8 24 43
Age 35-39 473 371 24 1 58 0 9 10 25
Age 40-44 383 332 14 1 23 1 4 8 16
Age 45-49 426 377 21 3 13 1 4 7 14
Age 50-54 454 410 27 1 10 0 4 2 16
Age 55-59 511 475 14 2 9 0 3 8 22
Age 60-64 546 516 18 0 4 1 3 4 14
Age 65-69 408 389 9 0 7 0 1 2 10
Age 70-74 272 245 11 1 14 0 0 1 4
Age 75-79 177 174 0 0 2 0 1 0 1
Age 80-84 187 183 2 0 0 0 2 0 4
Age 85 up 171 166 2 0 1 0 2 0 4

  1/ AIAN: American Indian/Alaska Native
  2/ NHOPI: Native Hawaiian/Other Pacific Islander

Modeler2 Software
These tables have been developed using the ProximityOne Modeler2 software. Modeler2 is also used to create demographic-economic estimates and projections at the sub-county geographic levels including census tracts and ZIP code areas. Annual estimates and projections are developed for 2010 through 2020 by single year of age, and for age groups, by census tract and ZIP code area.

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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 software, data and methodologies to analyze their own data integrated with other data. Follow ProximityOne on Twitter at www.twitter.com/proximityone. Contact ProximityOne (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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