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ZIP Code Area 87501 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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%high school graduates by
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Austin, TX MSA counties &
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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 87501 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 87501

  View developed with CV XE GIS.

ZIP Code 87501 is located in Santa Fe County, NM (35049).

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: 87501 -- 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 15,147 13,105 139 195 205 11 1,007 485 4,728
Age 0 102 76 1 1 0 0 10 14 43
Age 1 116 96 2 2 0 0 7 9 53
Age 2 120 91 2 2 1 1 11 12 52
Age 3 94 73 0 2 0 0 12 7 49
Age 4 102 77 3 3 0 0 11 8 48
Age 5 94 76 1 3 0 0 5 9 43
Age 6 76 57 0 2 2 0 7 8 36
Age 7 88 57 2 1 1 1 17 9 44
Age 8 102 74 0 0 3 0 11 14 47
Age 9 86 72 1 1 2 0 4 6 39
Age 10 114 98 3 0 1 0 7 5 47
Age 11 100 82 0 0 0 0 12 6 52
Age 12 112 90 2 7 1 0 11 1 44
Age 13 100 87 0 1 1 0 6 5 48
Age 14 92 72 1 0 1 0 11 7 47
Age 15 109 87 2 1 0 0 12 7 59
Age 16 88 75 1 1 2 0 4 5 42
Age 17 117 92 4 5 0 0 12 4 58
Age 18 75 52 0 4 0 0 13 6 42
Age 19 81 53 8 3 0 1 11 5 53
Age 20 94 74 1 1 1 0 13 4 50
Age 21 81 61 0 1 2 0 11 6 43
Age 22 86 62 1 2 1 1 17 2 38
Age 23 137 110 0 5 3 0 15 4 51
Age 24 142 119 2 1 0 0 16 4 55
Age 25 174 142 6 1 5 0 11 9 64
Age 26 178 137 4 3 3 0 27 4 70
Age 27 133 120 1 0 6 0 4 2 30
Age 28 172 142 2 2 0 1 18 7 54
Age 29 136 104 2 2 3 0 17 8 42
Age 30 152 120 4 5 2 0 18 3 51
Age 31 170 138 0 5 7 0 14 6 57
Age 32 140 107 2 4 6 2 9 10 43
Age 33 165 126 4 2 4 0 19 10 63
Age 34 185 162 1 2 4 0 10 6 66
Age 35 159 137 0 3 4 0 11 4 39
Age 36 166 137 3 3 6 0 9 8 38
Age 37 141 116 4 4 2 0 15 0 47
Age 38 153 125 1 4 7 0 12 4 47
Age 39 202 168 3 0 1 0 20 10 64
Age 40 191 158 1 4 3 0 15 10 55
Age 41 187 154 0 2 9 0 13 9 64
Age 42 143 114 1 3 4 0 13 8 41
Age 43 189 159 2 6 3 0 13 6 55
Age 44 169 146 2 2 3 1 12 3 61
Age 45 187 148 4 0 10 1 12 12 72
Age 46 207 178 2 1 4 0 17 5 85
Age 47 233 198 0 5 5 0 19 6 79
Age 48 222 193 3 4 2 1 15 4 60
Age 49 229 190 5 7 2 0 17 8 71
Age 50 246 204 4 4 4 0 29 1 79
Age 51 250 221 1 2 9 0 12 5 82
Age 52 262 222 3 2 1 0 26 8 92
Age 53 260 232 2 6 3 1 12 4 62
Age 54 258 218 5 3 2 0 22 8 78
Age 55 289 263 2 1 4 0 16 3 71
Age 56 303 272 3 2 4 0 16 6 83
Age 57 287 254 3 3 2 0 14 11 72
Age 58 338 306 2 5 4 0 17 4 71
Age 59 308 280 1 3 3 0 16 5 70
Age 60 340 302 1 5 3 0 26 3 72
Age 61 348 324 2 5 4 0 11 2 64
Age 62 371 344 2 3 4 0 11 7 62
Age 63 330 301 3 5 5 0 10 6 52
Age 64 254 241 1 1 1 0 4 6 44
Age 65 284 267 0 2 1 0 6 8 52
Age 66 279 255 3 3 1 0 14 3 50
Age 67 281 258 0 3 1 0 13 6 73
Age 68 196 179 2 0 3 0 9 3 47
Age 69 222 204 1 1 3 0 8 5 48
Age 70 202 188 1 1 2 0 7 3 46
Age 71 160 143 0 1 5 0 8 3 37
Age 72 170 164 1 0 1 0 2 2 51
Age 73 153 136 1 2 2 0 6 6 44
Age 74 148 139 0 0 0 0 5 4 54
Age 75 173 165 0 1 1 0 4 2 60
Age 76 141 129 0 2 1 0 7 2 43
Age 77 141 134 0 1 0 0 4 2 49
Age 78 125 114 0 0 0 0 7 4 47
Age 79 130 124 1 0 1 0 0 4 52
Age 80 126 118 0 1 0 0 3 4 40
Age 81 120 109 0 0 0 0 9 2 46
Age 82 98 95 0 0 0 0 2 1 31
Age 83 96 92 0 1 0 0 1 2 26
Age 84 80 75 0 0 0 0 3 2 26
Age 85 72 67 0 0 1 0 1 3 26
Age 86 57 52 0 0 1 0 2 2 15
Age 87 82 79 0 1 0 0 1 1 33
Age 88 78 70 0 0 0 0 6 2 23
Age 89 47 43 0 0 0 0 4 0 9
Age 90 26 23 0 0 0 0 3 0 5
Age 91 31 29 0 0 1 0 1 0 13
Age 92 30 29 0 0 0 0 1 0 11
Age 93 16 15 0 0 0 0 1 0 3
Age 94 15 14 0 0 0 0 0 1 3
Age 95 5 5 0 0 0 0 0 0 0
Age 96 4 4 0 0 0 0 0 0 2
Age 97 8 6 0 2 0 0 0 0 2
Age 98 4 4 0 0 0 0 0 0 3
Age 99 4 3 0 0 0 0 1 0 1
Age 100-104 8 8 0 0 0 0 0 0 2
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: 87501
AgeTotalWhite
alone		Black
alone		AIAN /1
alone		Asian
alone		NHOPI /2
alone		Other race
alone		Two or
more races		Hispanic
any race
Total population 15,147 13,105 139 195 205 11 1,007 485 4,728
Age 0-4 338 263 5 5 1 1 28 35 148
Age 5-9 454 340 6 11 3 1 52 41 220
Age 10-14 514 416 6 8 7 0 45 32 229
Age 15-19 506 413 8 8 4 0 45 28 254
Age 20-24 417 302 10 11 4 2 65 23 226
Age 25-29 764 628 13 10 17 0 73 23 270
Age 30-34 770 611 10 18 18 3 76 34 247
Age 35-39 816 678 12 14 20 0 64 28 253
Age 40-44 876 719 6 13 24 0 73 41 271
Age 45-49 985 829 10 14 25 2 73 32 352
Age 50-54 1,209 1,030 16 19 18 1 99 26 384
Age 55-59 1,397 1,239 15 15 15 1 80 32 366
Age 60-64 1,705 1,556 8 21 18 0 81 21 339
Age 65-69 1,428 1,322 7 14 9 0 47 29 271
Age 70-74 950 878 5 3 14 0 34 16 229
Age 75-79 756 703 1 6 4 0 26 16 250
Age 80-84 599 560 1 1 1 0 21 15 216
Age 85 up 663 618 0 4 3 0 25 13 203

  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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