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ZIP Code Area 75205 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 75205 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 75205

  View developed with CV XE GIS.

ZIP Code 75205 is located in Dallas County, TX (48113).

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: 75205 -- 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 23,061 21,178 326 64 770 3 362 358 1,385
Age 0 180 163 3 0 6 0 4 4 13
Age 1 174 154 2 2 4 0 4 8 17
Age 2 208 190 2 0 7 0 3 6 17
Age 3 207 193 3 0 2 0 2 7 14
Age 4 245 218 1 2 11 0 7 6 18
Age 5 263 240 1 1 15 0 0 6 15
Age 6 290 257 1 0 15 0 8 9 26
Age 7 328 290 1 1 19 0 6 11 24
Age 8 328 299 4 1 14 0 2 8 15
Age 9 276 257 1 0 11 0 2 5 18
Age 10 344 323 1 3 8 0 2 7 23
Age 11 337 316 0 0 11 0 3 7 13
Age 12 332 306 3 1 13 0 2 7 18
Age 13 341 312 3 0 8 0 6 12 25
Age 14 362 329 3 0 12 0 7 11 27
Age 15 306 283 3 2 9 0 1 8 14
Age 16 349 311 3 2 16 0 9 8 24
Age 17 295 271 2 4 8 0 6 4 22
Age 18 632 547 23 3 28 0 15 16 50
Age 19 1,242 1,084 54 3 51 0 13 37 103
Age 20 881 799 26 0 24 0 20 12 61
Age 21 580 516 23 0 16 0 10 15 37
Age 22 481 432 19 2 13 0 9 6 30
Age 23 336 314 3 1 4 0 5 9 28
Age 24 288 255 7 1 9 0 10 6 29
Age 25 278 243 3 0 14 0 11 7 22
Age 26 257 232 2 0 11 0 6 6 20
Age 27 276 239 5 1 16 0 12 3 26
Age 28 244 214 5 1 13 0 7 4 32
Age 29 238 207 2 4 13 0 7 5 21
Age 30 232 204 5 2 7 0 11 3 28
Age 31 188 162 3 2 9 0 7 5 20
Age 32 214 189 7 1 7 1 5 4 21
Age 33 217 190 7 0 10 0 5 5 25
Age 34 194 166 3 1 14 0 8 2 17
Age 35 224 196 5 0 20 0 2 1 10
Age 36 244 217 3 1 17 0 4 2 21
Age 37 237 204 3 1 19 0 7 3 24
Age 38 242 217 3 0 13 0 5 4 17
Age 39 299 267 3 1 17 0 10 1 28
Age 40 349 321 3 1 8 1 9 6 27
Age 41 335 302 3 1 23 0 6 0 20
Age 42 282 247 3 0 22 0 6 4 17
Age 43 373 334 4 0 18 0 12 5 24
Age 44 299 269 3 2 17 0 5 3 18
Age 45 345 325 0 0 9 0 2 9 23
Age 46 330 289 5 2 27 0 5 2 22
Age 47 365 340 7 0 12 0 5 1 22
Age 48 329 315 4 2 7 0 0 1 16
Age 49 369 356 1 0 8 0 2 2 7
Age 50 344 333 2 1 2 0 3 3 11
Age 51 326 299 3 2 10 0 6 6 19
Age 52 358 341 6 0 7 0 1 3 12
Age 53 337 314 3 1 9 0 8 2 22
Age 54 326 314 2 0 3 1 5 1 12
Age 55 298 283 3 2 7 0 2 1 7
Age 56 280 273 1 1 4 0 0 1 8
Age 57 282 269 4 0 4 0 3 2 10
Age 58 262 251 4 0 4 0 0 3 8
Age 59 263 250 2 1 5 0 3 2 7
Age 60 273 264 2 0 3 0 2 2 6
Age 61 244 237 1 0 6 0 0 0 2
Age 62 218 213 1 0 2 0 0 2 1
Age 63 208 201 2 1 1 0 2 1 5
Age 64 190 187 1 0 1 0 1 0 3
Age 65 157 157 0 0 0 0 0 0 5
Age 66 150 144 2 1 3 0 0 0 3
Age 67 154 152 0 0 1 0 0 1 0
Age 68 140 136 0 0 0 0 2 2 1
Age 69 107 104 0 0 3 0 0 0 1
Age 70 116 110 0 1 2 0 2 1 4
Age 71 110 110 0 0 0 0 0 0 1
Age 72 106 104 0 0 1 0 1 0 4
Age 73 88 86 0 0 2 0 0 0 1
Age 74 108 107 0 0 0 0 0 1 4
Age 75 107 105 0 0 1 0 1 0 6
Age 76 79 78 0 0 0 0 1 0 2
Age 77 93 91 1 0 0 0 1 0 0
Age 78 81 80 0 0 0 0 0 1 0
Age 79 79 78 0 0 1 0 0 0 0
Age 80 72 70 0 1 1 0 0 0 1
Age 81 56 56 0 0 0 0 0 0 0
Age 82 48 48 0 0 0 0 0 0 1
Age 83 56 56 0 0 0 0 0 0 1
Age 84 68 66 0 0 1 0 1 0 1
Age 85 48 47 1 0 0 0 0 0 1
Age 86 37 37 0 0 0 0 0 0 0
Age 87 29 28 1 0 0 0 0 0 2
Age 88 36 35 0 0 1 0 0 0 0
Age 89 29 29 0 0 0 0 0 0 0
Age 90 37 36 0 0 0 0 1 0 1
Age 91 12 12 0 0 0 0 0 0 1
Age 92 24 24 0 0 0 0 0 0 0
Age 93 14 13 0 0 0 0 1 0 1
Age 94 10 10 0 0 0 0 0 0 0
Age 95 7 7 0 0 0 0 0 0 0
Age 96 6 6 0 0 0 0 0 0 0
Age 97 8 8 0 0 0 0 0 0 0
Age 98 5 5 0 0 0 0 0 0 0
Age 99 5 5 0 0 0 0 0 0 0
Age 100-104 4 4 0 0 0 0 0 0 1
Age 105-110 1 1 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: 75205
AgeTotalWhite
alone
Black
alone
AIAN /1
alone
Asian
alone
NHOPI /2
alone
Other race
alone
Two or
more races
Hispanic
any race
Total population 23,061 21,178 326 64 770 3 362 358 1,385
Age 0-4 562 507 7 2 17 0 11 18 47
Age 5-9 1,333 1,198 7 4 62 0 23 39 97
Age 10-14 1,617 1,501 9 5 57 0 11 34 87
Age 15-19 1,653 1,506 14 8 53 0 29 43 112
Age 20-24 3,816 3,378 145 8 132 0 67 86 281
Age 25-29 1,435 1,283 20 3 54 0 44 31 125
Age 30-34 1,116 976 22 10 49 1 37 21 122
Age 35-39 1,116 973 21 3 80 0 26 13 97
Age 40-44 1,507 1,354 15 3 83 1 36 15 109
Age 45-49 1,712 1,557 19 4 83 0 29 20 109
Age 50-54 1,726 1,644 16 5 34 0 12 15 65
Age 55-59 1,523 1,453 13 4 27 1 18 7 59
Age 60-64 1,260 1,215 10 1 20 0 5 9 24
Age 65-69 859 841 5 2 6 0 3 2 16
Age 70-74 579 564 0 1 6 0 5 3 11
Age 75-79 475 467 1 0 3 0 3 1 13
Age 80-84 336 332 0 1 2 0 0 1 2
Age 85 up 436 429 2 0 2 0 3 0 9

  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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