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ZIP Code Area 92037 Detailed Age-Race/Origin Profile

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US Asian Indian population 2010
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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 92037 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 92037

  View developed with CV XE GIS.

ZIP Code 92037 is located in San Diego County, CA (06073).

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: 92037 -- 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 46,781 35,693 557 0 7,528 46 1,048 1,830 4,326
Age 0 353 261 2 0 41 0 6 42 48
Age 1 338 246 3 0 36 0 12 40 44
Age 2 331 247 5 0 37 0 3 39 38
Age 3 330 258 2 0 29 0 6 35 37
Age 4 362 281 2 0 33 3 7 36 46
Age 5 360 269 1 0 39 0 7 43 43
Age 6 382 295 2 0 28 0 11 46 51
Age 7 324 258 2 0 25 0 10 27 46
Age 8 306 246 2 0 20 0 4 34 39
Age 9 329 266 2 0 22 0 3 35 50
Age 10 349 274 2 0 26 0 11 31 48
Age 11 323 262 6 0 19 0 5 30 51
Age 12 316 254 6 0 21 0 6 29 35
Age 13 348 282 2 0 24 1 9 30 45
Age 14 370 308 2 0 20 1 10 29 71
Age 15 348 298 1 0 15 0 9 24 37
Age 16 381 313 5 0 26 0 8 29 49
Age 17 361 303 1 0 30 0 12 15 52
Age 18 2,280 1,061 51 0 918 0 109 138 274
Age 19 3,514 1,544 70 0 1,531 4 181 176 403
Age 20 2,043 961 47 0 818 1 92 121 218
Age 21 1,150 579 23 0 450 1 44 52 116
Age 22 850 481 17 0 271 1 37 41 91
Age 23 702 494 13 0 144 0 20 31 77
Age 24 700 470 11 0 169 0 18 29 75
Age 25 717 515 15 0 142 1 17 26 70
Age 26 691 480 15 0 145 1 16 32 58
Age 27 731 518 17 0 140 0 21 34 78
Age 28 707 525 7 0 128 1 17 27 55
Age 29 627 445 10 0 116 1 24 30 67
Age 30 603 449 12 0 105 1 18 16 60
Age 31 528 393 3 0 97 1 11 22 55
Age 32 551 420 9 0 90 2 11 18 62
Age 33 476 347 5 0 87 4 19 12 57
Age 34 448 336 14 0 69 2 13 12 62
Age 35 514 393 8 0 73 0 13 26 59
Age 36 420 325 3 0 68 1 13 8 54
Age 37 421 340 4 0 61 0 3 12 44
Age 38 432 351 4 0 58 2 3 14 56
Age 39 488 392 6 0 57 0 13 20 54
Age 40 466 380 3 0 55 1 7 18 49
Age 41 464 394 7 0 39 0 9 15 46
Age 42 415 326 14 0 52 0 6 16 32
Age 43 465 394 4 0 44 0 10 10 48
Age 44 417 347 2 0 40 1 8 19 51
Age 45 485 414 1 0 49 1 6 13 43
Age 46 479 411 3 0 41 0 9 15 46
Age 47 477 409 8 0 36 0 9 15 45
Age 48 498 430 4 0 47 0 10 7 37
Age 49 577 507 5 0 47 0 9 9 66
Age 50 534 470 6 0 37 0 10 11 51
Age 51 535 478 4 0 30 0 10 12 37
Age 52 533 467 7 0 35 0 9 15 41
Age 53 509 440 3 0 47 0 5 9 35
Age 54 536 469 6 0 45 0 4 8 31
Age 55 518 445 5 0 50 3 8 7 43
Age 56 495 440 3 0 32 0 9 11 36
Age 57 515 460 4 0 34 1 6 7 38
Age 58 452 414 2 0 24 0 6 6 32
Age 59 458 420 8 0 18 1 3 7 30
Age 60 499 454 4 0 31 1 2 6 37
Age 61 509 438 7 0 48 0 7 7 35
Age 62 509 472 3 0 22 1 4 7 26
Age 63 506 476 3 0 20 0 1 6 20
Age 64 508 479 3 0 17 0 3 6 27
Age 65 450 415 2 0 25 0 1 7 23
Age 66 505 462 2 0 34 0 1 6 25
Age 67 450 429 1 0 17 0 1 2 22
Age 68 461 420 3 0 27 0 0 10 20
Age 69 429 394 1 0 26 0 2 6 25
Age 70 351 329 1 0 16 0 0 5 21
Age 71 368 345 0 0 18 1 2 2 21
Age 72 349 321 1 0 20 0 0 7 12
Age 73 326 306 0 0 17 2 0 0 15
Age 74 355 330 1 0 13 0 5 6 24
Age 75 297 281 1 0 13 0 0 2 12
Age 76 295 278 1 0 13 0 0 3 12
Age 77 297 274 1 0 21 0 0 1 7
Age 78 321 301 1 0 11 2 1 5 20
Age 79 271 255 0 0 16 0 0 0 12
Age 80 307 288 4 0 10 0 4 1 13
Age 81 280 270 1 0 7 0 0 2 11
Age 82 297 286 0 0 10 0 0 1 10
Age 83 287 273 0 0 7 0 2 5 6
Age 84 287 276 0 0 7 0 2 1 12
Age 85 249 241 1 0 5 0 1 1 10
Age 86 261 258 0 0 2 0 0 1 7
Age 87 221 211 1 0 6 1 1 1 5
Age 88 186 181 1 0 4 0 0 0 5
Age 89 149 140 1 0 4 1 2 1 6
Age 90 130 126 0 0 4 0 0 0 7
Age 91 110 108 1 0 1 0 0 0 2
Age 92 79 78 0 0 1 0 0 0 0
Age 93 71 71 0 0 0 0 0 0 1
Age 94 43 41 0 0 1 0 0 1 0
Age 95 46 45 0 0 0 0 1 0 2
Age 96 33 32 0 0 1 0 0 0 0
Age 97 19 17 0 0 2 0 0 0 1
Age 98 13 13 0 0 0 0 0 0 0
Age 99 13 12 0 0 1 0 0 0 0
Age 100-104 11 11 0 0 0 0 0 0 0
Age 105-110 1 1 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: 92037
AgeTotalWhite
alone		Black
alone		AIAN /1
alone		Asian
alone		NHOPI /2
alone		Other race
alone		Two or
more races		Hispanic
any race
Total population 46,781 35,693 557 0 7,528 46 1,048 1,830 4,326
Age 0-4 1,022 754 10 0 114 0 21 121 130
Age 5-9 1,758 1,361 9 0 154 3 41 187 223
Age 10-14 1,623 1,302 18 0 108 0 29 159 223
Age 15-19 1,808 1,504 11 0 115 2 48 127 254
Age 20-24 9,837 4,626 208 0 3,988 7 463 528 1,102
Age 25-29 3,541 2,477 71 0 740 2 92 152 358
Age 30-34 3,016 2,232 41 0 536 6 81 113 299
Age 35-39 2,279 1,741 34 0 358 7 61 70 276
Age 40-44 2,265 1,843 34 0 261 3 38 83 237
Age 45-49 2,323 1,975 18 0 210 2 42 72 233
Age 50-54 2,677 2,352 26 0 196 0 48 54 232
Age 55-59 2,573 2,254 21 0 208 4 32 42 183
Age 60-64 2,427 2,198 24 0 143 3 22 33 160
Age 65-69 2,419 2,261 11 0 113 0 7 27 117
Age 70-74 1,958 1,809 6 0 107 1 4 30 99
Age 75-79 1,570 1,469 4 0 77 2 5 12 70
Age 80-84 1,476 1,400 6 0 54 2 5 9 66
Age 85 up 2,209 2,135 5 0 46 2 9 11 64

  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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