ProximityOne Home Page Resources to create and apply insight





Situation & Outlook

  Related Sections
  - Applications Gallery
  - States
  - Metros
  - Congressional District
  - Legislative Districts
  - School Districts
  - K-12 Schools
  - Counties
  - Cities/Places
  - Tracts/Neighborhoods
  - ZIP Codes
  - Block Groups
  - Census Blocks

  - Urban/Rural

  Estimates-Projections
  - 2060 Demographic
    ... all county interactive table
  - 2030 Demographic-Economic
  - Single Year of Age

  Demographic-Economic
    Estimates-Projections

  GIS Thematic Mapping
    Visual Analysis Tools

  Ranking Tables
    National Scope
    Demographic Change
    2000-2010
  - States
  - Metros
  - Congressional District
  - School Districts
  - Counties
  - Cities/Places
  - Census Tracts



 
ZIP Code Area 84115 Detailed Age-Race/Origin Profile

Decision-Making Information
  ProximityOne
  information resources & solutions
  (888) DMI-SOLN
  (888) 364-7656


Visual analysis with ProximityOne tools
click graphic for info; hover to pause

 
visually analyze clients/markets
site analysis using 1 mile radius

S1

$median household income
patterns by census tract - Houston

hover to pause

113th Congressional Districts

Click for info

US Asian Indian population 2010

Click for info

geocoded students and school
McKinney ISD, TX

Click for info

geocoded students and school
with tax parcels & streets

Click for info

high school attendance zones
with schools by type

Click for info

%high school graduates by
census tract - Puerto Rico

Click for info

Austin, TX MSA counties &
places 10K+ population markers

Click for info

Appalachia counties (green) &
coalfield counties (orange)

Click for info

China provinces percent urban &
cities (markers) by state plan

Click for info

Honolulu census tracts (red)
& census blocks


Central Park area NYC

Click for info

Kansas City Metro & Counties
Home Depot locations (markers)

Click for info

World Cities; focus on Spain

Click for info


Decision-Making Information Blog
Power of Combining Maps with Data

Support & Technical Assistance
help using these resources

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 84115 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 84115

  View developed with CV XE GIS.

ZIP Code 84115 is located in Salt Lake County, UT (49035).

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: 84115 -- 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 24,668 16,937 1,076 670 1,174 258 3,536 1,017 7,085
Age 0 481 280 35 20 10 4 96 36 202
Age 1 466 256 32 11 12 7 98 50 198
Age 2 457 260 24 17 13 9 88 46 193
Age 3 422 233 26 12 20 4 92 35 191
Age 4 370 204 21 14 12 6 81 32 166
Age 5 376 207 24 14 20 8 71 32 176
Age 6 310 164 19 8 18 2 77 22 143
Age 7 322 176 21 12 10 6 72 25 141
Age 8 302 162 23 12 18 2 64 21 145
Age 9 270 148 16 12 15 3 58 18 133
Age 10 280 158 15 13 20 7 56 11 118
Age 11 273 147 15 5 20 4 63 19 125
Age 12 264 152 13 11 12 5 57 14 109
Age 13 250 134 10 13 18 3 54 18 113
Age 14 244 125 14 5 22 1 59 18 116
Age 15 254 134 18 6 16 1 61 18 113
Age 16 211 115 15 10 15 1 43 12 81
Age 17 263 134 14 14 17 4 62 18 115
Age 18 289 166 20 15 16 5 48 19 99
Age 19 324 177 23 17 23 8 62 14 112
Age 20 423 250 31 14 24 7 75 22 137
Age 21 451 291 24 7 18 9 77 25 138
Age 22 499 314 23 13 24 5 88 32 146
Age 23 536 385 23 12 19 4 79 14 161
Age 24 549 371 25 17 21 9 88 18 148
Age 25 589 417 17 13 29 8 83 22 163
Age 26 575 415 15 14 25 10 80 16 150
Age 27 628 467 21 17 29 9 66 19 144
Age 28 565 433 13 14 19 6 54 26 121
Age 29 557 407 20 15 21 4 70 20 137
Age 30 593 444 25 13 13 11 71 16 149
Age 31 523 378 22 8 22 3 69 21 126
Age 32 513 359 15 13 24 7 74 21 142
Age 33 449 322 16 11 24 4 63 9 119
Age 34 402 280 21 6 23 2 57 13 122
Age 35 335 214 19 9 20 2 63 8 114
Age 36 369 261 5 8 18 1 59 17 121
Age 37 375 263 12 5 22 1 62 10 117
Age 38 379 252 15 11 27 4 66 4 109
Age 39 315 219 8 9 13 3 48 15 93
Age 40 368 245 17 11 21 2 59 13 108
Age 41 321 227 13 9 12 0 55 5 87
Age 42 292 194 21 11 12 1 48 5 77
Age 43 292 192 13 19 11 1 46 10 78
Age 44 280 199 13 11 12 3 35 7 63
Age 45 289 208 6 8 11 2 41 13 81
Age 46 309 225 9 14 12 3 35 11 76
Age 47 305 216 16 12 18 1 35 7 71
Age 48 306 233 8 11 15 3 30 6 67
Age 49 263 208 9 6 9 2 22 7 52
Age 50 314 221 17 6 16 0 42 12 70
Age 51 291 227 18 9 6 4 19 8 48
Age 52 271 210 12 7 12 3 21 6 43
Age 53 299 225 14 5 12 3 34 6 72
Age 54 279 216 8 6 15 1 27 6 53
Age 55 267 209 5 2 16 1 24 10 51
Age 56 279 231 4 4 6 2 29 3 51
Age 57 212 162 7 9 13 2 13 6 31
Age 58 216 182 8 2 12 1 8 3 23
Age 59 244 199 6 7 11 3 16 2 43
Age 60 207 169 17 1 4 2 12 2 23
Age 61 182 151 4 3 6 3 10 5 22
Age 62 170 141 4 1 9 1 13 1 27
Age 63 176 151 9 2 4 1 6 3 25
Age 64 134 105 2 3 11 2 7 4 26
Age 65 134 108 4 5 9 1 7 0 21
Age 66 127 105 3 4 4 1 7 3 20
Age 67 133 105 3 1 9 1 13 1 25
Age 68 123 100 7 1 6 1 5 3 16
Age 69 93 73 8 3 2 1 5 1 14
Age 70 90 74 3 1 4 0 6 2 14
Age 71 93 75 2 0 10 1 3 2 16
Age 72 79 65 2 1 5 1 4 1 13
Age 73 85 72 0 0 5 2 4 2 12
Age 74 84 75 1 0 5 0 3 0 7
Age 75 92 73 3 2 5 0 9 0 21
Age 76 69 55 0 0 9 0 4 1 8
Age 77 55 45 1 1 4 0 3 1 11
Age 78 65 57 1 0 4 0 2 1 10
Age 79 82 71 0 0 8 1 0 2 9
Age 80 71 62 1 0 3 1 3 1 7
Age 81 61 52 1 0 5 0 2 1 6
Age 82 71 62 1 1 4 0 2 1 5
Age 83 47 41 1 0 1 1 2 1 3
Age 84 59 50 3 0 4 0 2 0 8
Age 85 54 48 2 0 2 0 1 1 8
Age 86 55 47 0 0 5 0 2 1 4
Age 87 40 37 0 1 2 0 0 0 1
Age 88 41 36 0 0 4 0 1 0 1
Age 89 28 25 0 0 1 0 1 1 3
Age 90 20 14 1 0 2 0 1 2 3
Age 91 21 19 0 0 2 0 0 0 0
Age 92 14 11 0 0 1 0 1 1 2
Age 93 13 13 0 0 0 0 0 0 0
Age 94 18 18 0 0 0 0 0 0 1
Age 95 7 7 0 0 0 0 0 0 0
Age 96 9 8 0 0 0 0 1 0 1
Age 97 6 5 0 0 0 0 1 0 1
Age 98 3 3 0 0 0 0 0 0 0
Age 99 3 3 0 0 0 0 0 0 0
Age 100-104 4 3 0 0 1 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: 84115
AgeTotalWhite
alone
Black
alone
AIAN /1
alone
Asian
alone
NHOPI /2
alone
Other race
alone
Two or
more races
Hispanic
any race
Total population 24,668 16,937 1,076 670 1,174 258 3,536 1,017 7,085
Age 0-4 1,404 796 91 48 35 20 282 132 593
Age 5-9 1,800 984 111 60 80 26 393 146 817
Age 10-14 1,389 767 82 53 85 21 298 83 630
Age 15-19 1,222 642 71 48 88 10 279 84 538
Age 20-24 1,986 1,198 121 66 105 34 350 112 632
Age 25-29 2,877 2,055 101 73 123 40 396 89 766
Age 30-34 2,751 2,021 95 63 99 31 338 104 675
Age 35-39 1,930 1,340 73 39 107 10 304 57 593
Age 40-44 1,675 1,137 74 51 85 10 276 42 474
Age 45-49 1,475 1,040 57 64 64 10 192 48 369
Age 50-54 1,445 1,099 64 39 58 12 134 39 280
Age 55-59 1,336 1,043 38 26 62 9 127 31 258
Age 60-64 1,019 842 39 14 42 10 59 13 138
Age 65-69 704 574 21 15 37 6 40 11 117
Age 70-74 478 387 22 6 27 4 23 9 73
Age 75-79 385 320 5 3 28 2 23 4 59
Age 80-84 350 304 4 1 24 2 9 6 37
Age 85 up 442 388 7 1 25 1 13 7 36

  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.

Support Using these Resources
Learn more about demographic economic data and related analytical tools. Join us in a Data Analytics Web session. There is no fee for these Web sessions. Each informal session is focused on a specific topic. The open structure also provides for Q&A and discussion of application issues of interest to participants.

ProximityOne User Group
Join the ProximityOne User Group to keep up-to-date with new developments relating to geographic-demographic-economic decision-making information resources. Receive updates and access to tools and resources available only to members. Use this form to join the User Group. There is no fee.

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.


Copyright © . ProximityOne. All Rights Reserved.
Sitemap | Contact Us | News