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ZIP Code Area 77375 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 77375 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 77375

  View developed with CV XE GIS.

ZIP Code 77375 is located in Harris County, TX (48201).

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: 77375 -- 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 39,351 29,049 3,667 305 1,625 28 3,518 1,159 9,555
Age 0 689 489 58 8 26 1 52 55 211
Age 1 688 490 65 4 19 0 77 33 211
Age 2 686 496 51 5 28 0 67 39 202
Age 3 732 497 65 8 20 0 99 43 249
Age 4 725 499 78 5 34 1 60 48 237
Age 5 662 438 69 8 28 1 73 45 204
Age 6 694 478 63 8 31 2 66 46 215
Age 7 720 489 64 6 48 0 83 30 249
Age 8 626 414 63 3 22 0 87 37 198
Age 9 634 427 78 5 32 0 58 34 183
Age 10 624 416 82 2 22 0 69 33 210
Age 11 641 438 79 3 25 1 63 32 211
Age 12 659 410 98 4 36 1 76 34 191
Age 13 617 421 60 6 30 0 70 30 191
Age 14 620 403 85 2 25 0 76 29 202
Age 15 603 401 64 7 20 0 78 33 212
Age 16 654 438 82 4 23 1 79 27 199
Age 17 573 403 68 7 17 0 62 16 183
Age 18 504 348 63 6 16 0 52 19 146
Age 19 440 287 58 5 20 0 55 15 136
Age 20 411 279 46 6 10 0 58 12 126
Age 21 413 278 44 7 15 1 58 10 124
Age 22 450 328 35 4 14 1 57 11 139
Age 23 487 357 37 3 18 0 66 6 136
Age 24 513 385 34 3 16 0 61 14 135
Age 25 556 422 31 5 19 0 70 9 164
Age 26 534 415 28 4 17 0 53 17 128
Age 27 635 469 45 3 19 1 81 17 186
Age 28 634 467 43 5 26 0 84 9 188
Age 29 735 540 65 7 21 2 79 21 195
Age 30 715 531 71 5 29 1 61 17 177
Age 31 704 525 67 6 31 0 62 13 172
Age 32 682 502 72 4 18 1 69 16 182
Age 33 685 489 67 5 20 0 85 19 192
Age 34 653 475 70 3 27 1 69 8 174
Age 35 675 503 57 6 38 1 62 8 186
Age 36 629 418 58 5 58 0 71 19 170
Age 37 646 449 68 4 44 2 62 17 190
Age 38 650 449 76 6 37 0 69 13 186
Age 39 629 442 68 4 41 1 56 17 159
Age 40 643 449 71 7 40 0 57 19 145
Age 41 594 412 74 3 32 1 59 13 139
Age 42 544 378 60 8 34 0 52 12 128
Age 43 518 366 55 1 27 0 55 14 115
Age 44 499 363 63 1 24 0 40 8 115
Age 45 536 392 62 4 31 1 35 11 104
Age 46 561 426 39 6 25 0 54 11 121
Age 47 514 384 43 7 28 1 37 14 96
Age 48 510 391 56 8 20 1 27 7 91
Age 49 500 398 36 2 20 1 34 9 94
Age 50 462 352 49 5 24 0 25 7 86
Age 51 450 358 43 2 17 0 26 4 63
Age 52 467 368 42 3 17 0 29 8 74
Age 53 493 386 50 5 22 1 25 4 65
Age 54 441 357 30 3 19 0 28 4 66
Age 55 394 332 29 4 6 1 19 3 57
Age 56 376 310 34 4 15 0 10 3 37
Age 57 374 316 16 3 11 0 23 5 64
Age 58 322 263 23 2 16 0 15 3 55
Age 59 324 266 28 4 9 0 14 3 45
Age 60 331 270 25 1 18 0 11 6 47
Age 61 308 240 25 4 18 0 16 5 41
Age 62 288 243 18 1 12 0 8 6 32
Age 63 303 260 21 1 11 0 9 1 31
Age 64 238 206 9 2 10 0 9 2 35
Age 65 240 204 20 1 7 0 7 1 20
Age 66 214 189 13 0 7 0 3 2 18
Age 67 208 174 16 3 6 0 6 3 21
Age 68 218 186 18 1 9 0 3 1 16
Age 69 176 149 11 0 9 0 4 3 16
Age 70 141 121 11 1 4 0 3 1 12
Age 71 149 129 9 1 5 0 4 1 14
Age 72 160 144 8 2 3 0 2 1 12
Age 73 125 111 7 0 6 0 0 1 14
Age 74 135 125 6 0 1 1 1 1 7
Age 75 138 124 8 0 1 0 5 0 9
Age 76 119 107 8 1 0 0 3 0 5
Age 77 143 131 5 0 2 0 4 1 15
Age 78 125 114 10 0 1 0 0 0 6
Age 79 106 91 9 1 2 0 2 1 9
Age 80 118 107 5 0 5 0 1 0 8
Age 81 106 100 1 1 2 0 2 0 8
Age 82 95 85 5 0 0 0 2 3 9
Age 83 99 97 0 0 1 0 0 1 6
Age 84 113 105 4 0 2 0 2 0 5
Age 85 91 86 2 1 1 0 1 0 4
Age 86 79 73 0 0 0 0 4 2 10
Age 87 74 67 2 0 2 0 2 1 6
Age 88 75 71 2 0 1 0 1 0 1
Age 89 58 55 1 0 1 0 0 1 3
Age 90 48 47 1 0 0 0 0 0 0
Age 91 32 29 1 0 0 0 2 0 2
Age 92 32 29 1 0 1 0 0 1 0
Age 93 19 19 0 0 0 0 0 0 0
Age 94 28 26 1 0 0 0 1 0 1
Age 95 17 16 1 0 0 0 0 0 1
Age 96 16 14 1 0 0 0 1 0 1
Age 97 18 18 0 0 0 0 0 0 0
Age 98 8 6 2 0 0 0 0 0 0
Age 99 6 5 1 0 0 0 0 0 0
Age 100-104 5 4 1 0 0 0 0 0 1
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: 77375
AgeTotalWhite
alone		Black
alone		AIAN /1
alone		Asian
alone		NHOPI /2
alone		Other race
alone		Two or
more races		Hispanic
any race
Total population 39,351 29,049 3,667 305 1,625 28 3,518 1,159 9,555
Age 0-4 2,063 1,475 174 17 73 1 196 127 624
Age 5-9 3,533 2,401 339 35 161 4 381 212 1,154
Age 10-14 3,184 2,105 400 17 137 2 353 170 993
Age 15-19 3,067 2,066 359 26 115 1 365 135 987
Age 20-24 2,218 1,520 246 28 75 2 280 67 671
Age 25-29 2,725 2,048 175 18 89 1 331 63 749
Age 30-34 3,470 2,565 318 27 125 4 355 76 914
Age 35-39 3,288 2,334 320 23 187 4 349 71 912
Age 40-44 3,060 2,130 349 28 184 2 293 74 757
Age 45-49 2,628 1,931 262 19 135 2 221 58 551
Age 50-54 2,389 1,867 226 20 98 2 141 35 408
Age 55-59 2,078 1,701 159 19 73 2 105 19 289
Age 60-64 1,573 1,282 119 12 73 0 64 23 220
Age 65-69 1,203 1,033 79 7 41 0 34 9 125
Age 70-74 844 729 57 5 30 0 16 7 70
Age 75-79 660 598 34 1 10 1 13 3 50
Age 80-84 550 497 30 2 10 0 7 4 40
Age 85 up 818 767 21 1 9 0 14 6 41

  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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