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ZIP Code Area 50125 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 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 &
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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 50125 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 50125

  View developed with CV XE GIS.

ZIP Code 50125 is located in Warren County, IA (19181).

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: 50125 -- 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 19,556 18,997 97 57 117 7 43 238 272
Age 0 217 207 0 1 1 0 1 7 5
Age 1 231 219 2 2 0 0 0 8 4
Age 2 246 237 0 1 1 0 1 6 7
Age 3 238 222 2 2 4 0 0 8 11
Age 4 253 238 4 2 4 0 0 5 5
Age 5 237 223 0 4 1 0 2 7 6
Age 6 246 231 2 1 4 0 1 7 7
Age 7 272 259 2 1 3 0 2 5 9
Age 8 265 254 1 2 1 0 0 7 9
Age 9 283 271 2 3 0 0 1 6 5
Age 10 285 269 2 0 3 0 1 10 4
Age 11 281 265 1 2 4 0 1 8 4
Age 12 291 274 2 3 2 0 2 8 7
Age 13 271 255 2 0 4 0 0 10 3
Age 14 271 260 2 2 1 0 2 4 10
Age 15 261 248 2 1 3 0 0 7 3
Age 16 288 273 4 2 4 0 2 3 5
Age 17 266 258 0 1 3 0 0 4 5
Age 18 365 349 3 0 3 1 2 7 12
Age 19 512 481 10 0 5 1 2 13 15
Age 20 475 457 5 1 3 1 0 8 10
Age 21 435 414 8 2 3 1 2 5 4
Age 22 398 376 9 0 2 1 2 8 8
Age 23 179 173 2 0 1 0 1 2 4
Age 24 205 195 0 0 2 0 2 6 5
Age 25 214 211 0 1 0 0 0 2 1
Age 26 210 205 0 0 1 0 0 4 3
Age 27 211 206 1 1 2 0 1 0 2
Age 28 198 190 0 1 2 1 1 3 7
Age 29 179 179 0 0 0 0 0 0 2
Age 30 225 219 0 0 4 0 0 2 5
Age 31 192 186 2 0 1 0 1 2 2
Age 32 201 191 1 2 4 0 0 3 1
Age 33 191 187 2 0 1 0 0 1 2
Age 34 192 188 0 0 2 0 1 1 3
Age 35 221 218 2 0 0 0 0 1 1
Age 36 198 195 1 1 1 0 0 0 1
Age 37 213 210 0 1 0 0 1 1 0
Age 38 247 242 0 0 2 0 0 3 3
Age 39 246 241 0 0 2 0 0 3 1
Age 40 263 256 1 2 2 0 0 2 1
Age 41 245 240 2 0 3 0 0 0 1
Age 42 245 239 0 0 2 0 2 2 9
Age 43 223 223 0 0 0 0 0 0 0
Age 44 254 249 0 1 4 0 0 0 4
Age 45 268 264 1 1 2 0 0 0 3
Age 46 268 261 2 0 1 0 1 3 4
Age 47 293 289 2 0 1 0 0 1 2
Age 48 252 247 0 0 1 0 1 3 3
Age 49 283 277 1 1 2 0 0 2 0
Age 50 313 309 1 0 1 0 2 0 5
Age 51 265 261 2 1 0 0 0 1 3
Age 52 313 305 1 1 2 0 2 2 3
Age 53 268 263 0 2 0 0 0 3 0
Age 54 272 268 0 0 1 0 1 2 4
Age 55 286 279 0 0 5 1 0 1 3
Age 56 259 253 0 1 2 0 1 2 2
Age 57 221 218 2 0 0 0 0 1 1
Age 58 248 247 1 0 0 0 0 0 0
Age 59 247 245 0 2 0 0 0 0 1
Age 60 232 229 1 1 0 0 0 1 2
Age 61 207 204 1 0 0 0 0 2 0
Age 62 208 205 0 0 1 0 0 2 0
Age 63 239 236 1 1 0 0 0 1 1
Age 64 163 162 0 0 0 0 1 0 1
Age 65 157 156 0 0 1 0 0 0 0
Age 66 152 150 0 0 1 0 0 1 2
Age 67 160 157 1 0 0 0 0 2 0
Age 68 133 129 1 0 0 0 0 3 0
Age 69 147 144 0 1 0 0 0 2 3
Age 70 131 131 0 0 0 0 0 0 0
Age 71 128 128 0 0 0 0 0 0 1
Age 72 114 113 0 1 0 0 0 0 2
Age 73 101 99 0 0 1 0 0 1 0
Age 74 112 109 0 1 0 0 0 2 0
Age 75 103 103 0 0 0 0 0 0 0
Age 76 108 108 0 0 0 0 0 0 0
Age 77 103 103 0 0 0 0 0 0 1
Age 78 94 94 0 0 0 0 0 0 2
Age 79 105 105 0 0 0 0 0 0 1
Age 80 88 88 0 0 0 0 0 0 0
Age 81 82 81 0 0 0 0 0 1 0
Age 82 80 80 0 0 0 0 0 0 0
Age 83 85 85 0 0 0 0 0 0 1
Age 84 99 99 0 0 0 0 0 0 2
Age 85 77 77 0 0 0 0 0 0 0
Age 86 69 69 0 0 0 0 0 0 1
Age 87 87 87 0 0 0 0 0 0 0
Age 88 62 62 0 0 0 0 0 0 0
Age 89 54 54 0 0 0 0 0 0 0
Age 90 30 30 0 0 0 0 0 0 0
Age 91 30 30 0 0 0 0 0 0 1
Age 92 29 29 0 0 0 0 0 0 0
Age 93 23 23 0 0 0 0 0 0 0
Age 94 14 14 0 0 0 0 0 0 0
Age 95 14 14 0 0 0 0 0 0 0
Age 96 14 14 0 0 0 0 0 0 0
Age 97 7 7 0 0 0 0 0 0 1
Age 98 8 8 0 0 0 0 0 0 0
Age 99 3 3 0 0 0 0 0 0 0
Age 100-104 9 9 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: 50125
AgeTotalWhite
alone
Black
alone
AIAN /1
alone
Asian
alone
NHOPI /2
alone
Other race
alone
Two or
more races
Hispanic
any race
Total population 19,556 18,997 97 57 117 7 43 238 272
Age 0-4 694 663 2 4 2 0 2 21 16
Age 5-9 1,246 1,173 10 10 16 0 5 32 38
Age 10-14 1,405 1,333 8 10 10 0 5 39 29
Age 15-19 1,357 1,294 10 6 15 0 4 28 26
Age 20-24 2,185 2,077 35 3 16 5 8 41 49
Age 25-29 1,019 990 3 2 6 0 4 14 15
Age 30-34 995 965 3 3 11 1 2 10 17
Age 35-39 1,015 998 5 2 4 0 2 4 7
Age 40-44 1,246 1,218 3 2 11 0 2 10 15
Age 45-49 1,306 1,286 5 2 8 0 1 4 13
Age 50-54 1,426 1,399 5 3 6 0 5 8 14
Age 55-59 1,306 1,281 2 3 8 1 2 9 10
Age 60-64 1,142 1,130 3 3 1 0 0 5 3
Age 65-69 871 861 2 1 2 0 1 4 4
Age 70-74 653 645 1 2 0 0 0 5 6
Age 75-79 527 522 0 1 1 0 0 3 1
Age 80-84 449 448 0 0 0 0 0 1 3
Age 85 up 714 714 0 0 0 0 0 0 6

  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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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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