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ZIP Code Area 67214 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
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%high school graduates by
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Austin, TX MSA counties &
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Appalachia counties (green) &
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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 67214 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 67214

  View developed with CV XE GIS.

ZIP Code 67214 is located in Sedgwick County, KS (20173).

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: 67214 -- 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 16,542 5,087 8,005 240 549 8 1,816 837 3,964
Age 0 341 84 159 1 5 0 58 34 119
Age 1 307 94 117 7 7 0 51 31 122
Age 2 326 101 124 4 8 0 55 34 137
Age 3 328 90 135 3 10 0 50 40 118
Age 4 299 94 134 3 10 0 35 23 100
Age 5 295 94 127 3 6 0 36 29 101
Age 6 277 86 106 2 9 0 49 25 106
Age 7 285 94 110 6 3 0 47 25 110
Age 8 288 82 127 3 13 0 35 28 86
Age 9 290 77 136 10 8 0 38 21 94
Age 10 262 70 101 3 9 0 43 36 98
Age 11 260 62 136 8 4 0 32 18 74
Age 12 253 65 111 5 10 0 37 25 79
Age 13 267 73 130 5 8 1 34 16 89
Age 14 236 62 97 4 5 1 41 26 84
Age 15 268 67 142 3 12 0 35 9 79
Age 16 290 78 133 5 10 0 37 27 94
Age 17 279 58 153 2 5 0 40 21 80
Age 18 281 86 142 4 7 0 28 14 73
Age 19 255 60 137 4 9 0 33 12 56
Age 20 266 78 127 6 12 0 25 18 61
Age 21 265 91 112 4 7 0 36 15 69
Age 22 225 73 105 5 7 0 28 7 64
Age 23 232 93 88 1 6 0 26 18 50
Age 24 243 106 87 4 9 1 24 12 70
Age 25 231 88 81 6 8 0 36 12 67
Age 26 264 117 80 6 6 0 45 10 89
Age 27 267 106 103 3 7 0 42 6 81
Age 28 218 91 87 3 3 0 29 5 56
Age 29 258 102 104 5 5 0 34 8 62
Age 30 258 110 94 1 7 0 33 13 79
Age 31 219 83 92 3 2 0 30 9 66
Age 32 211 68 90 2 2 0 37 12 69
Age 33 176 70 74 2 6 0 19 5 44
Age 34 179 76 64 4 7 0 21 7 56
Age 35 198 69 74 3 11 0 35 6 65
Age 36 168 67 60 2 3 0 30 6 60
Age 37 210 78 76 7 12 0 31 6 65
Age 38 183 65 70 2 13 0 26 7 56
Age 39 220 75 94 3 12 0 28 8 64
Age 40 213 90 79 2 17 0 17 8 50
Age 41 191 63 75 3 7 1 32 10 55
Age 42 207 71 89 6 12 0 22 7 50
Age 43 205 70 93 5 10 1 21 5 43
Age 44 188 65 87 4 3 0 22 7 46
Age 45 198 59 97 4 7 0 25 6 43
Age 46 225 63 118 4 9 1 28 2 48
Age 47 225 61 136 1 4 0 18 5 26
Age 48 228 57 128 0 11 0 19 13 31
Age 49 229 75 130 6 5 0 11 2 30
Age 50 241 65 152 2 5 0 12 5 23
Age 51 220 67 122 8 4 0 15 4 31
Age 52 227 75 120 1 5 0 19 7 32
Age 53 255 82 133 2 10 0 18 10 28
Age 54 206 66 119 2 9 0 4 6 16
Age 55 198 76 100 1 10 0 10 1 19
Age 56 186 57 112 3 4 0 7 3 11
Age 57 151 46 88 3 3 0 7 4 14
Age 58 164 42 100 3 7 0 7 5 14
Age 59 181 58 108 1 6 0 5 3 18
Age 60 166 56 93 1 10 0 3 3 11
Age 61 128 41 74 0 8 0 2 3 8
Age 62 127 34 82 1 3 0 6 1 12
Age 63 127 51 59 3 7 0 5 2 11
Age 64 91 23 57 1 5 0 3 2 3
Age 65 94 26 55 0 6 0 6 1 10
Age 66 74 16 47 1 2 0 7 1 11
Age 67 89 30 46 4 5 0 2 2 6
Age 68 83 15 56 2 6 0 3 1 6
Age 69 70 16 48 0 1 0 3 2 7
Age 70 78 22 51 0 1 0 4 0 7
Age 71 87 29 48 2 4 0 2 2 10
Age 72 93 16 62 0 9 1 1 4 2
Age 73 85 9 66 1 2 0 4 3 5
Age 74 87 10 71 0 4 0 2 0 2
Age 75 58 8 46 0 1 0 1 2 3
Age 76 58 9 47 0 1 1 0 0 2
Age 77 57 7 43 1 5 0 1 0 1
Age 78 63 8 45 1 6 0 2 1 4
Age 79 61 7 47 0 2 0 2 3 3
Age 80 68 8 55 0 2 0 1 2 2
Age 81 63 8 49 3 1 0 0 2 3
Age 82 45 9 32 0 2 0 0 2 1
Age 83 42 3 35 0 1 0 3 0 3
Age 84 38 8 29 0 0 0 1 0 1
Age 85 35 5 29 0 0 0 1 0 2
Age 86 35 7 26 0 1 0 1 0 2
Age 87 17 2 13 0 1 0 1 0 2
Age 88 24 4 20 0 0 0 0 0 2
Age 89 18 2 14 0 1 0 0 1 1
Age 90 18 1 15 0 1 0 1 0 1
Age 91 18 2 16 0 0 0 0 0 0
Age 92 7 1 6 0 0 0 0 0 0
Age 93 5 1 4 0 0 0 0 0 0
Age 94 7 0 6 1 0 0 0 0 0
Age 95 3 1 2 0 0 0 0 0 0
Age 96 2 0 2 0 0 0 0 0 0
Age 97 3 0 3 0 0 0 0 0 0
Age 98 1 1 0 0 0 0 0 0 0
Age 99 1 0 1 0 0 0 0 0 0
Age 100-104 0 0 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: 67214
AgeTotalWhite
alone
Black
alone
AIAN /1
alone
Asian
alone
NHOPI /2
alone
Other race
alone
Two or
more races
Hispanic
any race
Total population 16,542 5,087 8,005 240 549 8 1,816 837 3,964
Age 0-4 974 279 400 12 20 0 164 99 378
Age 5-9 1,484 458 612 17 38 0 217 142 535
Age 10-14 1,353 356 611 29 44 0 185 128 431
Age 15-19 1,340 338 655 19 40 2 187 99 426
Age 20-24 1,292 388 623 23 42 0 150 66 323
Age 25-29 1,237 510 439 20 36 1 173 58 357
Age 30-34 1,164 454 467 14 19 0 163 47 332
Age 35-39 931 360 348 18 39 0 136 30 290
Age 40-44 1,014 364 407 16 61 1 125 40 275
Age 45-49 1,041 318 531 18 33 2 114 25 206
Age 50-54 1,145 339 652 17 30 0 76 31 147
Age 55-59 996 327 552 11 36 0 46 24 88
Age 60-64 766 231 457 6 34 0 23 15 63
Age 65-69 475 146 264 9 25 0 23 8 41
Age 70-74 411 98 265 4 21 1 13 9 32
Age 75-79 345 43 273 2 13 1 8 5 13
Age 80-84 300 40 228 4 13 0 5 10 13
Age 85 up 274 38 221 1 5 0 8 1 14

  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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