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ZIP Code Area 78207 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 78207 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 78207

  View developed with CV XE GIS.

ZIP Code 78207 is located in Bexar County, TX (48029).

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: 78207 -- 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 55,514 39,285 2,162 765 135 31 11,571 1,565 50,435
Age 0 987 668 28 12 2 0 250 27 933
Age 1 1,068 733 40 15 1 0 246 33 1,013
Age 2 1,117 732 40 26 1 1 279 38 1,055
Age 3 1,054 708 42 19 3 0 244 38 991
Age 4 1,007 724 37 16 0 0 211 19 956
Age 5 935 647 34 11 3 0 217 23 885
Age 6 898 644 20 15 2 1 188 28 855
Age 7 909 616 25 15 2 1 219 31 863
Age 8 843 574 24 10 0 1 206 28 805
Age 9 873 608 25 10 1 0 197 32 833
Age 10 838 585 16 14 0 0 200 23 802
Age 11 779 537 17 11 1 2 183 28 752
Age 12 792 559 10 15 1 0 189 18 761
Age 13 801 556 14 13 2 1 187 28 773
Age 14 772 528 14 11 1 1 197 20 745
Age 15 786 510 18 17 2 1 214 24 754
Age 16 854 594 10 11 3 1 201 34 821
Age 17 853 615 20 8 2 0 189 19 809
Age 18 999 690 51 15 3 2 206 32 892
Age 19 1,090 729 54 23 1 0 238 45 958
Age 20 1,084 732 73 18 4 0 224 33 946
Age 21 1,053 712 65 8 10 1 224 33 898
Age 22 992 691 72 7 3 0 196 23 855
Age 23 971 688 48 13 4 0 197 21 862
Age 24 966 662 51 15 1 1 216 20 856
Age 25 937 662 43 12 1 1 194 24 834
Age 26 918 632 51 11 5 1 191 27 789
Age 27 842 611 46 3 0 0 165 17 713
Age 28 840 608 43 12 5 0 152 20 744
Age 29 803 563 50 7 4 0 163 16 695
Age 30 837 569 51 9 2 1 192 13 742
Age 31 737 523 39 18 2 0 139 16 645
Age 32 703 499 39 8 3 0 132 22 615
Age 33 702 505 26 5 3 1 143 19 617
Age 34 755 532 39 7 5 2 155 15 657
Age 35 646 450 30 12 0 0 138 16 574
Age 36 647 485 21 7 0 0 115 19 575
Age 37 682 476 23 7 1 0 155 20 610
Age 38 637 428 37 8 1 0 137 26 563
Age 39 679 493 33 9 2 0 124 18 603
Age 40 656 459 31 8 4 0 140 14 573
Age 41 663 484 32 3 3 0 121 20 589
Age 42 624 406 30 13 3 0 151 21 550
Age 43 650 459 37 14 1 1 120 18 575
Age 44 681 477 32 11 2 1 147 11 606
Age 45 703 474 31 9 1 1 168 19 625
Age 46 642 437 20 15 1 1 150 18 585
Age 47 734 513 30 14 1 0 152 24 661
Age 48 719 495 43 9 3 0 148 21 625
Age 49 677 472 30 13 0 1 149 12 599
Age 50 751 518 43 8 1 0 172 9 668
Age 51 637 455 25 10 1 0 122 24 572
Age 52 604 437 23 6 1 0 121 16 535
Age 53 661 454 27 9 3 0 147 21 593
Age 54 620 415 21 12 2 0 151 19 561
Age 55 576 413 12 8 1 0 122 20 520
Age 56 543 378 21 12 2 0 114 16 489
Age 57 501 339 18 7 0 2 117 18 450
Age 58 507 376 19 8 0 0 93 11 456
Age 59 510 381 17 8 0 0 88 16 462
Age 60 517 376 19 8 1 1 98 14 476
Age 61 472 356 11 5 1 0 76 23 428
Age 62 414 316 8 5 3 0 68 14 377
Age 63 423 313 12 3 1 0 83 11 378
Age 64 393 304 9 5 3 0 65 7 360
Age 65 383 287 7 7 1 1 67 13 355
Age 66 314 223 5 5 0 0 69 12 299
Age 67 336 260 7 4 0 0 53 12 311
Age 68 292 212 8 1 0 1 59 11 269
Age 69 285 213 9 2 1 1 53 6 262
Age 70 275 211 5 1 1 0 47 10 265
Age 71 247 197 3 1 0 0 38 8 228
Age 72 262 205 4 1 0 0 43 9 246
Age 73 246 192 10 2 0 0 37 5 228
Age 74 242 197 2 3 0 0 35 5 233
Age 75 242 190 9 4 0 0 32 7 217
Age 76 229 185 5 1 1 0 33 4 208
Age 77 222 178 9 1 0 0 32 2 207
Age 78 271 225 3 1 0 0 31 11 256
Age 79 219 181 3 0 1 0 28 6 198
Age 80 245 194 4 6 0 0 38 3 228
Age 81 175 144 4 0 1 0 23 3 158
Age 82 195 162 2 4 1 0 21 5 181
Age 83 179 151 4 0 1 0 19 4 162
Age 84 171 143 6 4 0 0 10 8 153
Age 85 182 147 6 3 0 0 24 2 166
Age 86 151 132 3 2 0 0 14 0 134
Age 87 115 99 5 0 0 0 8 3 104
Age 88 104 87 4 1 1 0 10 1 89
Age 89 76 58 4 0 0 0 11 3 66
Age 90 73 59 2 2 0 0 8 2 67
Age 91 58 43 3 1 0 0 10 1 50
Age 92 26 18 2 0 0 0 5 1 22
Age 93 29 24 1 2 0 0 2 0 18
Age 94 25 18 1 0 0 0 6 0 21
Age 95 21 14 0 0 0 0 7 0 19
Age 96 15 14 0 0 0 0 0 1 15
Age 97 17 14 0 0 0 0 1 2 14
Age 98 7 6 1 0 0 0 0 0 5
Age 99 7 6 0 0 0 0 0 1 7
Age 100-104 11 8 1 0 0 0 1 1 9
Age 105-110 3 3 0 0 0 0 0 0 3
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: 78207
AgeTotalWhite
alone		Black
alone		AIAN /1
alone		Asian
alone		NHOPI /2
alone		Other race
alone		Two or
more races		Hispanic
any race
Total population 55,514 39,285 2,162 765 135 31 11,571 1,565 50,435
Age 0-4 3,172 2,133 108 53 4 1 775 98 3,001
Age 5-9 4,803 3,339 158 76 10 2 1,079 139 4,550
Age 10-14 4,125 2,863 92 60 3 3 975 129 3,953
Age 15-19 4,066 2,803 76 60 10 4 988 125 3,902
Age 20-24 5,218 3,554 315 71 21 3 1,088 166 4,549
Age 25-29 4,634 3,255 239 54 11 3 963 109 4,054
Age 30-34 3,920 2,762 222 54 16 1 778 87 3,441
Age 35-39 3,432 2,448 139 38 9 3 706 89 3,033
Age 40-44 3,259 2,270 163 41 13 0 673 99 2,878
Age 45-49 3,410 2,360 150 63 6 4 737 90 3,052
Age 50-54 3,388 2,377 164 46 6 1 712 82 2,999
Age 55-59 2,901 1,999 99 48 8 2 651 94 2,613
Age 60-64 2,420 1,805 74 34 5 1 423 78 2,199
Age 65-69 1,849 1,387 40 24 5 1 337 55 1,703
Age 70-74 1,361 1,038 29 6 2 2 240 44 1,270
Age 75-79 1,181 942 35 11 1 0 169 23 1,093
Age 80-84 1,105 906 16 11 3 0 141 28 1,021
Age 85 up 1,270 1,044 43 15 2 0 136 30 1,124

  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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