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ZIP Code Area 80909 Detailed Age-Race/Origin Profile

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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 80909 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 80909

  View developed with CV XE GIS.

ZIP Code 80909 is located in El Paso County, CO (08041).

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: 80909 -- 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 35,739 26,988 2,492 505 555 97 3,130 1,972 7,560
Age 0 509 325 40 9 5 2 64 64 184
Age 1 521 349 43 8 4 3 50 64 181
Age 2 529 334 48 1 5 1 69 71 192
Age 3 495 292 36 7 4 3 77 76 197
Age 4 500 295 51 6 4 1 69 74 177
Age 5 474 281 38 9 7 2 74 63 177
Age 6 462 268 47 7 7 3 70 60 176
Age 7 433 251 34 7 7 3 69 62 180
Age 8 402 240 38 6 7 0 43 68 149
Age 9 425 260 40 6 7 1 56 55 124
Age 10 445 272 48 7 10 1 63 44 150
Age 11 413 258 42 5 4 1 67 36 137
Age 12 428 263 44 5 13 4 44 55 131
Age 13 384 251 30 6 5 2 49 41 131
Age 14 394 249 33 17 10 2 46 37 118
Age 15 392 247 39 9 5 0 47 45 111
Age 16 430 291 35 7 14 0 51 32 119
Age 17 410 273 37 10 7 1 48 34 103
Age 18 425 278 43 5 8 1 50 40 121
Age 19 463 310 47 8 8 1 49 40 143
Age 20 494 327 44 12 7 2 57 45 137
Age 21 531 370 31 7 6 1 71 45 139
Age 22 562 410 41 9 8 0 59 35 131
Age 23 570 390 61 4 8 2 68 37 133
Age 24 582 420 41 4 12 2 65 38 147
Age 25 563 406 40 6 15 3 68 25 134
Age 26 555 382 43 10 8 3 66 43 138
Age 27 570 413 32 12 7 4 62 40 142
Age 28 523 358 48 12 8 1 64 32 128
Age 29 546 409 39 8 9 3 56 22 127
Age 30 549 404 42 7 9 3 54 30 137
Age 31 476 331 44 6 10 4 56 25 117
Age 32 463 333 38 8 4 1 57 22 111
Age 33 432 319 20 8 6 3 55 21 114
Age 34 417 297 33 6 6 1 48 26 99
Age 35 424 311 25 11 11 1 49 16 98
Age 36 398 292 31 5 7 0 46 17 103
Age 37 437 327 24 11 5 0 55 15 99
Age 38 412 289 40 3 12 2 47 19 96
Age 39 407 308 28 7 9 1 40 14 90
Age 40 430 318 40 8 3 1 44 16 83
Age 41 377 286 29 6 3 0 40 13 86
Age 42 392 293 25 8 11 0 42 13 97
Age 43 416 310 26 6 9 0 47 18 98
Age 44 407 310 33 3 13 1 34 13 84
Age 45 483 360 49 5 5 0 44 20 101
Age 46 461 367 41 7 4 1 30 11 69
Age 47 480 372 39 10 5 1 34 19 76
Age 48 572 447 42 17 9 3 47 7 91
Age 49 533 421 43 12 12 4 22 19 74
Age 50 531 427 44 3 6 3 34 14 77
Age 51 539 431 38 11 7 2 35 15 89
Age 52 548 445 41 9 9 1 30 13 69
Age 53 535 438 38 5 8 1 29 16 67
Age 54 496 420 26 4 6 3 25 12 62
Age 55 475 415 22 6 3 0 16 13 54
Age 56 429 355 16 7 9 0 29 13 66
Age 57 457 385 24 6 11 0 23 8 59
Age 58 436 375 22 6 4 0 21 8 52
Age 59 425 372 21 9 2 0 17 4 38
Age 60 419 366 18 4 7 0 17 7 46
Age 61 417 369 17 4 7 1 15 4 44
Age 62 383 333 16 4 7 1 18 4 40
Age 63 390 344 15 6 7 0 13 5 40
Age 64 266 231 11 6 6 0 8 4 32
Age 65 267 226 13 4 8 0 9 7 28
Age 66 276 236 17 2 4 0 13 4 37
Age 67 251 221 7 6 4 0 11 2 26
Age 68 253 232 12 0 2 0 6 1 24
Age 69 239 208 13 0 3 1 8 6 26
Age 70 265 235 9 4 4 0 10 3 33
Age 71 260 235 13 1 2 0 8 1 25
Age 72 236 211 10 2 3 0 7 3 26
Age 73 218 194 9 0 4 1 7 3 12
Age 74 245 220 15 2 2 0 4 2 25
Age 75 241 212 6 2 4 2 6 9 24
Age 76 277 259 7 2 6 0 3 0 17
Age 77 245 224 12 2 4 0 2 1 14
Age 78 200 186 3 2 4 0 3 2 15
Age 79 215 201 4 1 3 1 3 2 13
Age 80 175 164 8 0 1 0 1 1 10
Age 81 227 209 10 1 4 0 3 0 15
Age 82 218 207 2 1 3 0 4 1 15
Age 83 169 162 1 0 2 0 3 1 12
Age 84 170 162 3 0 3 0 2 0 9
Age 85 154 149 1 0 1 0 1 2 8
Age 86 151 144 3 0 0 0 3 1 6
Age 87 120 115 4 0 1 0 0 0 4
Age 88 113 107 3 0 0 0 1 2 6
Age 89 89 84 4 0 0 0 0 1 2
Age 90 88 85 2 0 1 0 0 0 5
Age 91 59 58 1 0 0 0 0 0 3
Age 92 38 38 0 0 0 0 0 0 3
Age 93 39 39 0 0 0 0 0 0 2
Age 94 33 31 1 0 1 0 0 0 0
Age 95 16 15 1 0 0 0 0 0 0
Age 96 12 11 1 0 0 0 0 0 0
Age 97 16 16 0 0 0 0 0 0 0
Age 98 7 6 1 0 0 0 0 0 0
Age 99 9 8 1 0 0 0 0 0 0
Age 100-104 6 5 1 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: 80909
AgeTotalWhite
alone		Black
alone		AIAN /1
alone		Asian
alone		NHOPI /2
alone		Other race
alone		Two or
more races		Hispanic
any race
Total population 35,739 26,988 2,492 505 555 97 3,130 1,972 7,560
Age 0-4 1,559 1,008 131 18 14 6 183 199 557
Age 5-9 2,364 1,387 206 36 29 12 359 335 907
Age 10-14 2,113 1,293 212 29 41 7 273 258 691
Age 15-19 2,010 1,311 174 49 41 5 241 189 582
Age 20-24 2,475 1,695 206 41 37 5 286 205 671
Age 25-29 2,840 2,011 217 36 50 14 329 183 694
Age 30-34 2,557 1,835 211 41 40 12 287 131 620
Age 35-39 2,108 1,546 133 41 35 5 253 95 513
Age 40-44 2,018 1,494 162 32 38 4 213 75 452
Age 45-49 2,247 1,719 188 31 36 3 189 81 428
Age 50-54 2,723 2,171 208 52 43 13 168 68 400
Age 55-59 2,392 2,013 126 28 37 4 122 62 308
Age 60-64 2,080 1,815 94 27 27 2 88 27 220
Age 65-69 1,450 1,258 63 24 29 0 54 22 163
Age 70-74 1,253 1,121 57 7 14 1 39 14 134
Age 75-79 1,226 1,109 49 8 20 3 22 15 92
Age 80-84 1,035 967 27 5 15 1 14 6 68
Age 85 up 1,289 1,235 28 0 9 0 10 7 60

  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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