ProximityOne Home Page Resources to create and apply insight




Situation & Outlook

  Related Sections
  - Applications Gallery
  - States
  - Metros
  - Congressional District
  - Legislative Districts
  - School Districts
  - K-12 Schools
  - Counties
  - Cities/Places
  - Tracts/Neighborhoods
  - ZIP Codes
  - Block Groups
  - Census Blocks

  - Urban/Rural

  Estimates-Projections
  - 2060 Demographic
    ... all county interactive table
  - 2030 Demographic-Economic
  - Single Year of Age
  Demographic-Economic
    Estimates-Projections

  GIS Thematic Mapping
    Visual Analysis Tools

  Ranking Tables
    National Scope
    Demographic Change
    2000-2010
  - States
  - Metros
  - Congressional District
  - School Districts
  - Counties
  - Cities/Places
  - Census Tracts



 
ZIP Code Area 77077 Detailed Age-Race/Origin Profile

Decision-Making Information
  ProximityOne
  information resources & solutions
  (888) DMI-SOLN
  (888) 364-7656


Visual analysis with ProximityOne tools
click graphic for info; hover to pause
 
visually analyze clients/markets
site analysis using 1 mile radius
S1

$median household income
patterns by census tract - Houston
hover to pause

113th Congressional Districts
Click for info

US Asian Indian population 2010
Click for info

geocoded students and school
McKinney ISD, TX
Click for info

geocoded students and school
with tax parcels & streets
Click for info

high school attendance zones
with schools by type
Click for info

%high school graduates by
census tract - Puerto Rico
Click for info

Austin, TX MSA counties &
places 10K+ population markers
Click for info

Appalachia counties (green) &
coalfield counties (orange)
Click for info

China provinces percent urban &
cities (markers) by state plan
Click for info

Honolulu census tracts (red)
& census blocks

Central Park area NYC
Click for info

Kansas City Metro & Counties
Home Depot locations (markers)
Click for info

World Cities; focus on Spain
Click for info


Decision-Making Information Blog
Power of Combining Maps with Data

Support & Technical Assistance
help using these resources

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 77077 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 77077

  View developed with CV XE GIS.

ZIP Code 77077 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: 77077 -- 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 52,151 30,430 10,195 189 6,037 33 3,512 1,755 10,963
Age 0 840 373 199 5 130 0 78 55 232
Age 1 794 331 199 5 116 1 82 60 236
Age 2 757 335 204 4 108 0 58 48 215
Age 3 720 310 188 2 95 0 76 49 218
Age 4 639 278 155 2 98 0 59 47 174
Age 5 635 298 169 2 72 0 54 40 183
Age 6 603 290 152 2 80 0 51 28 171
Age 7 592 294 115 2 76 0 60 45 186
Age 8 532 252 109 2 79 1 52 37 147
Age 9 528 251 135 1 58 0 45 38 144
Age 10 571 297 134 0 61 0 48 31 160
Age 11 510 269 114 1 49 0 46 31 134
Age 12 544 298 112 3 62 0 40 29 159
Age 13 464 255 102 3 45 1 33 25 115
Age 14 527 290 125 3 47 1 39 22 136
Age 15 528 286 122 4 35 0 54 27 144
Age 16 566 311 122 1 47 1 46 38 166
Age 17 517 278 121 7 46 1 41 23 139
Age 18 527 304 125 5 36 0 44 13 153
Age 19 479 217 136 1 43 0 66 16 159
Age 20 560 234 185 7 39 0 72 23 169
Age 21 563 228 196 2 35 3 73 26 174
Age 22 751 324 241 5 58 1 87 35 210
Age 23 912 443 282 3 55 0 98 31 244
Age 24 1,040 473 335 2 96 2 92 40 235
Age 25 1,080 481 352 1 119 3 93 31 231
Age 26 1,102 457 338 1 155 0 102 49 252
Age 27 1,154 488 337 2 187 0 101 39 255
Age 28 1,097 459 305 3 183 0 101 46 256
Age 29 992 420 275 3 169 0 107 18 258
Age 30 1,094 480 280 5 205 0 96 28 227
Age 31 968 385 274 5 196 0 77 31 208
Age 32 929 417 217 2 170 0 99 24 245
Age 33 877 395 230 2 162 0 67 21 223
Age 34 857 407 212 4 135 2 66 31 196
Age 35 843 380 190 3 171 1 74 24 204
Age 36 805 381 212 3 116 0 64 29 200
Age 37 746 357 178 1 133 0 58 19 177
Age 38 783 402 184 2 112 0 54 29 179
Age 39 775 437 148 2 111 2 49 26 198
Age 40 815 450 175 1 104 1 57 27 172
Age 41 664 367 118 6 95 1 53 24 157
Age 42 658 368 129 0 83 0 61 17 176
Age 43 637 392 102 2 74 1 44 22 159
Age 44 645 382 113 4 79 0 48 19 166
Age 45 710 456 116 4 77 0 40 17 157
Age 46 713 448 123 3 90 0 30 19 137
Age 47 676 426 115 6 72 2 32 23 126
Age 48 676 464 93 3 64 1 36 15 125
Age 49 787 529 128 8 72 0 32 18 135
Age 50 760 539 110 5 55 3 28 20 126
Age 51 736 525 95 4 59 1 34 18 134
Age 52 811 579 105 0 65 0 42 20 125
Age 53 736 528 103 1 62 0 29 13 115
Age 54 738 570 73 3 55 0 23 14 106
Age 55 753 545 82 2 76 0 31 17 89
Age 56 720 536 76 3 71 1 21 12 100
Age 57 680 534 62 2 53 0 17 12 80
Age 58 595 453 61 0 56 0 14 11 62
Age 59 610 495 38 0 50 0 19 8 63
Age 60 577 435 62 1 56 0 14 9 71
Age 61 612 493 39 0 57 0 16 7 60
Age 62 606 516 26 2 51 0 6 5 49
Age 63 606 512 29 1 42 0 13 9 62
Age 64 418 340 22 2 43 0 6 5 37
Age 65 436 353 22 1 44 0 6 10 46
Age 66 401 325 19 1 42 0 10 4 37
Age 67 396 323 21 0 42 0 4 6 38
Age 68 324 261 18 5 30 0 4 6 37
Age 69 296 248 15 1 24 0 3 5 34
Age 70 255 210 16 0 21 1 2 5 25
Age 71 225 181 9 1 25 1 4 4 24
Age 72 241 201 13 1 22 0 1 3 17
Age 73 213 182 6 0 20 0 1 4 25
Age 74 192 176 2 1 8 0 2 3 17
Age 75 187 168 4 1 5 0 4 5 21
Age 76 163 142 8 1 9 0 1 2 18
Age 77 178 149 9 0 13 0 6 1 17
Age 78 180 161 4 0 11 0 3 1 12
Age 79 155 144 1 0 7 0 1 2 16
Age 80 175 162 2 0 7 0 1 3 13
Age 81 148 139 0 0 8 0 1 0 13
Age 82 143 135 2 0 2 0 2 2 5
Age 83 141 127 3 0 10 0 0 1 7
Age 84 168 152 2 0 10 0 2 2 9
Age 85 144 137 3 0 3 0 1 0 6
Age 86 106 101 1 0 4 0 0 0 3
Age 87 106 99 2 0 3 0 2 0 2
Age 88 92 81 4 0 5 0 0 2 4
Age 89 92 87 1 0 3 0 1 0 5
Age 90 48 44 0 0 3 0 0 1 2
Age 91 52 48 2 0 1 0 1 0 3
Age 92 38 35 1 0 2 0 0 0 3
Age 93 32 31 1 0 0 0 0 0 0
Age 94 28 28 0 0 0 0 0 0 0
Age 95 22 21 0 0 1 0 0 0 1
Age 96 12 12 0 0 0 0 0 0 0
Age 97 11 10 0 0 1 0 0 0 1
Age 98 2 1 0 0 0 0 1 0 1
Age 99 2 2 0 0 0 0 0 0 0
Age 100-104 6 6 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: 77077
AgeTotalWhite
alone		Black
alone		AIAN /1
alone		Asian
alone		NHOPI /2
alone		Other race
alone		Two or
more races		Hispanic
any race
Total population 52,151 30,430 10,195 189 6,037 33 3,512 1,755 10,963
Age 0-4 2,391 1,039 602 14 354 1 218 163 683
Age 5-9 3,189 1,470 779 10 421 0 300 209 932
Age 10-14 2,685 1,367 604 7 309 1 231 166 744
Age 15-19 2,602 1,420 592 18 220 4 213 135 700
Age 20-24 2,880 1,307 883 20 211 4 342 113 865
Age 25-29 5,288 2,342 1,644 9 612 5 486 190 1,217
Age 30-34 5,080 2,161 1,351 18 923 0 480 147 1,194
Age 35-39 4,128 1,920 1,022 13 717 3 329 124 1,000
Age 40-44 3,695 2,024 754 11 505 4 274 123 882
Age 45-49 3,381 2,104 569 19 392 3 194 100 745
Age 50-54 3,770 2,636 531 20 315 5 172 91 645
Age 55-59 3,627 2,713 396 11 317 1 121 68 490
Age 60-64 3,000 2,392 226 3 270 0 69 40 305
Age 65-69 2,257 1,853 113 5 213 0 39 34 220
Age 70-74 1,341 1,101 71 8 122 2 14 23 137
Age 75-79 933 817 29 3 55 0 14 15 98
Age 80-84 801 741 9 0 35 0 8 8 59
Age 85 up 1,103 1,023 20 0 46 0 8 6 47

  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.

Support Using these Resources
Learn more about demographic economic data and related analytical tools. Join us in a Data Analytics Web session. There is no fee for these Web sessions. Each informal session is focused on a specific topic. The open structure also provides for Q&A and discussion of application issues of interest to participants.

ProximityOne User Group
Join the ProximityOne User Group to keep up-to-date with new developments relating to geographic-demographic-economic decision-making information resources. Receive updates and access to tools and resources available only to members. Use this form to join the User Group. There is no fee.

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.

Copyright © . ProximityOne. All Rights Reserved.
Sitemap | Contact Us | News