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ZIP Code Area 97201 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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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 97201 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 97201

  View developed with CV XE GIS.

ZIP Code 97201 is located in Multnomah County, OR (41051).

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: 97201 -- 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 15,484 12,596 325 111 1,520 42 214 676 747
Age 0 75 57 1 0 2 0 2 13 4
Age 1 66 47 0 1 5 0 2 11 7
Age 2 70 54 4 0 6 0 1 5 3
Age 3 59 40 1 0 10 0 1 7 4
Age 4 44 39 0 0 2 0 0 3 3
Age 5 59 50 0 0 5 0 1 3 2
Age 6 61 49 3 0 4 0 1 4 3
Age 7 58 47 0 1 7 0 0 3 3
Age 8 66 56 1 1 2 0 0 6 4
Age 9 64 47 2 1 9 0 2 3 3
Age 10 61 53 0 0 3 0 1 4 7
Age 11 51 45 1 0 3 0 0 2 1
Age 12 54 47 0 0 2 0 1 4 8
Age 13 61 45 0 1 6 0 0 9 5
Age 14 61 50 0 0 4 0 0 7 3
Age 15 47 40 0 0 1 0 0 6 3
Age 16 77 68 0 0 4 0 1 4 2
Age 17 75 62 1 0 7 0 1 4 3
Age 18 413 324 9 6 36 1 6 31 27
Age 19 774 608 21 13 60 9 13 50 55
Age 20 627 470 23 4 67 4 16 43 39
Age 21 683 451 22 6 144 4 11 45 37
Age 22 653 457 17 2 122 2 9 44 40
Age 23 559 404 12 6 85 2 9 41 35
Age 24 528 404 8 4 74 3 13 22 27
Age 25 501 379 7 5 66 3 9 32 29
Age 26 458 333 7 1 84 1 11 21 31
Age 27 431 312 7 3 60 3 17 29 38
Age 28 373 303 10 1 36 0 7 16 20
Age 29 314 254 9 1 33 0 6 11 16
Age 30 277 215 6 1 36 0 5 14 17
Age 31 258 202 1 5 35 0 5 10 23
Age 32 278 218 5 2 34 1 2 16 17
Age 33 217 162 8 1 33 2 6 5 15
Age 34 187 139 5 2 24 1 4 12 9
Age 35 195 159 3 0 25 1 2 5 10
Age 36 178 139 3 2 21 0 4 9 12
Age 37 146 115 4 0 19 0 3 5 9
Age 38 178 140 2 0 24 0 3 9 13
Age 39 169 144 2 2 15 0 3 3 9
Age 40 151 128 4 0 11 0 4 4 8
Age 41 163 144 2 0 13 0 1 3 5
Age 42 127 110 3 0 8 1 1 4 4
Age 43 153 130 5 2 9 0 2 5 7
Age 44 143 127 1 0 8 0 0 7 1
Age 45 142 124 1 1 9 0 4 3 12
Age 46 136 115 9 3 8 0 1 0 4
Age 47 125 101 5 2 12 1 1 3 3
Age 48 127 109 3 1 10 0 1 3 4
Age 49 136 121 1 1 6 0 0 7 6
Age 50 157 134 4 6 9 0 0 4 2
Age 51 117 104 1 0 6 0 2 4 8
Age 52 163 138 7 1 14 1 2 0 6
Age 53 135 121 5 0 7 0 0 2 2
Age 54 156 140 6 1 5 0 2 2 4
Age 55 178 163 4 1 5 0 0 5 0
Age 56 156 142 6 2 3 1 0 2 6
Age 57 168 153 3 1 6 0 0 5 3
Age 58 186 163 10 3 6 0 1 3 6
Age 59 179 167 2 1 4 0 2 3 4
Age 60 177 155 6 1 10 0 4 1 4
Age 61 170 149 4 0 8 0 1 8 6
Age 62 184 162 6 2 11 0 1 2 2
Age 63 192 176 3 2 8 0 0 3 1
Age 64 138 130 2 2 3 0 0 1 7
Age 65 133 122 1 1 5 0 2 2 3
Age 66 119 114 0 1 2 0 0 2 1
Age 67 123 113 1 2 5 1 0 1 3
Age 68 107 102 1 0 3 0 1 0 1
Age 69 89 84 0 0 3 0 1 1 1
Age 70 101 95 1 0 2 0 1 2 5
Age 71 86 81 0 0 4 0 0 1 0
Age 72 101 89 2 1 9 0 0 0 3
Age 73 86 76 0 0 9 0 0 1 1
Age 74 71 66 0 0 5 0 0 0 1
Age 75 65 59 0 0 5 0 1 0 4
Age 76 77 64 0 1 10 0 0 2 1
Age 77 62 52 3 0 6 0 0 1 3
Age 78 67 59 1 0 7 0 0 0 1
Age 79 90 82 0 0 8 0 0 0 0
Age 80 80 76 0 0 4 0 0 0 1
Age 81 69 63 0 0 4 0 0 2 0
Age 82 70 62 3 0 5 0 0 0 0
Age 83 74 69 1 0 3 0 0 1 0
Age 84 60 58 0 0 0 0 0 2 0
Age 85 62 62 0 0 0 0 0 0 1
Age 86 59 58 0 0 1 0 0 0 0
Age 87 50 48 0 0 1 0 0 1 0
Age 88 43 39 0 0 2 0 0 2 2
Age 89 42 41 0 0 1 0 0 0 2
Age 90 31 31 0 0 0 0 0 0 0
Age 91 26 26 0 0 0 0 0 0 0
Age 92 14 13 0 0 1 0 0 0 0
Age 93 17 16 0 0 1 0 0 0 0
Age 94 10 10 0 0 0 0 0 0 0
Age 95 14 14 0 0 0 0 0 0 0
Age 96 4 2 2 0 0 0 0 0 2
Age 97 6 6 0 0 0 0 0 0 0
Age 98 5 4 1 0 0 0 0 0 0
Age 99 3 3 0 0 0 0 0 0 0
Age 100-104 3 3 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: 97201
AgeTotalWhite
alone
Black
alone
AIAN /1
alone
Asian
alone
NHOPI /2
alone
Other race
alone
Two or
more races
Hispanic
any race
Total population 15,484 12,596 325 111 1,520 42 214 676 747
Age 0-4 211 158 5 1 13 0 5 29 14
Age 5-9 281 225 4 1 28 0 3 20 15
Age 10-14 296 248 4 2 19 0 4 19 23
Age 15-19 321 265 1 1 22 0 2 30 16
Age 20-24 3,150 2,310 92 31 429 20 55 213 198
Age 25-29 2,477 1,832 41 19 369 12 59 145 160
Age 30-34 1,500 1,192 31 10 174 1 25 67 93
Age 35-39 923 714 23 5 122 4 19 36 55
Age 40-44 788 666 13 2 71 1 12 23 39
Age 45-49 699 597 21 8 46 1 8 18 27
Age 50-54 700 606 16 9 45 1 5 18 26
Age 55-59 793 719 24 5 26 1 2 16 15
Age 60-64 896 796 28 7 39 0 9 17 22
Age 65-69 705 655 7 8 23 1 2 9 15
Age 70-74 484 451 4 1 21 0 3 4 10
Age 75-79 361 317 3 1 35 0 1 4 10
Age 80-84 376 342 4 0 28 0 0 2 2
Age 85 up 523 503 4 0 10 0 0 6 7

  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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