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ZIP Code Area 60647 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 60647 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 60647

  View developed with CV XE GIS.

ZIP Code 60647 is located in Cook County, IL (17031).

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: 60647 -- 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 87,291 52,587 6,482 632 2,156 73 21,626 3,735 47,697
Age 0 1,490 908 70 9 27 0 333 143 802
Age 1 1,388 798 93 3 31 0 363 100 851
Age 2 1,300 721 110 9 24 2 341 93 802
Age 3 1,235 624 119 5 12 2 381 92 828
Age 4 1,116 553 122 11 18 3 334 75 773
Age 5 1,082 516 116 12 10 0 350 78 786
Age 6 1,072 499 98 13 15 1 378 68 817
Age 7 997 452 104 16 11 0 351 63 778
Age 8 1,000 419 101 15 7 2 382 74 800
Age 9 877 402 96 11 5 0 316 47 707
Age 10 966 422 131 12 6 2 338 55 781
Age 11 906 375 119 8 2 1 337 64 735
Age 12 930 403 104 7 6 0 341 69 763
Age 13 978 391 133 9 8 1 373 63 774
Age 14 903 386 113 3 3 2 333 63 739
Age 15 949 363 101 8 7 2 407 61 790
Age 16 1,032 428 129 7 4 0 416 48 868
Age 17 990 400 128 10 6 0 395 51 806
Age 18 989 425 98 7 4 1 397 57 812
Age 19 968 421 95 16 8 0 381 47 753
Age 20 1,214 580 103 12 19 0 439 61 840
Age 21 1,252 673 102 10 30 4 382 51 776
Age 22 1,500 921 93 12 40 1 376 57 786
Age 23 1,874 1,208 119 12 45 3 415 72 852
Age 24 2,168 1,483 134 5 57 0 400 89 861
Age 25 2,396 1,679 125 9 65 4 421 93 823
Age 26 2,479 1,756 136 21 94 1 405 66 805
Age 27 2,602 1,870 132 13 94 2 410 81 844
Age 28 2,546 1,817 134 12 102 1 406 74 782
Age 29 2,677 1,921 119 6 110 4 425 92 897
Age 30 2,646 1,846 156 12 115 4 424 89 883
Age 31 2,279 1,624 111 14 111 0 343 76 731
Age 32 2,222 1,548 105 14 105 2 380 68 817
Age 33 2,125 1,469 126 16 89 2 354 69 793
Age 34 1,949 1,368 93 12 71 1 341 63 773
Age 35 1,939 1,318 103 14 74 0 352 78 805
Age 36 1,570 1,024 90 7 68 2 332 47 693
Age 37 1,494 950 107 17 50 1 323 46 714
Age 38 1,501 931 93 12 48 2 360 55 745
Age 39 1,479 929 99 9 47 1 327 67 738
Age 40 1,414 896 98 4 38 2 331 45 681
Age 41 1,255 785 84 8 34 2 303 39 640
Age 42 1,174 696 106 12 31 0 291 38 637
Age 43 1,060 625 80 12 16 0 292 35 618
Age 44 1,019 596 94 14 10 0 270 35 583
Age 45 1,046 625 76 7 18 2 283 35 612
Age 46 930 549 88 3 12 1 246 31 547
Age 47 1,001 545 106 14 11 3 272 50 605
Age 48 940 543 83 5 17 1 264 27 555
Age 49 940 529 86 10 15 0 265 35 585
Age 50 922 514 80 9 18 1 267 33 598
Age 51 838 462 75 2 17 0 253 29 530
Age 52 838 479 84 10 12 1 232 20 512
Age 53 790 451 77 1 13 0 209 39 492
Age 54 767 424 54 4 4 0 249 32 510
Age 55 797 457 72 7 8 2 227 24 515
Age 56 686 390 59 8 13 0 182 34 438
Age 57 678 385 64 5 14 0 187 23 418
Age 58 669 393 60 5 12 1 175 23 416
Age 59 618 382 46 2 10 0 154 24 368
Age 60 640 375 52 3 14 0 172 24 396
Age 61 575 360 38 5 4 0 153 15 364
Age 62 552 324 39 9 12 1 143 24 354
Age 63 560 348 33 3 10 1 137 28 364
Age 64 427 265 24 3 8 1 106 20 291
Age 65 435 276 35 4 7 0 102 11 297
Age 66 347 214 20 1 9 0 88 15 230
Age 67 364 232 24 1 10 0 85 12 234
Age 68 334 230 22 2 9 0 58 13 218
Age 69 298 207 18 3 6 0 55 9 188
Age 70 303 184 19 6 7 0 74 13 208
Age 71 287 177 12 3 5 0 70 20 208
Age 72 233 142 9 3 7 0 62 10 164
Age 73 228 147 8 1 9 0 56 7 165
Age 74 216 144 11 1 4 0 48 8 160
Age 75 199 144 8 0 4 0 40 3 141
Age 76 210 143 9 2 2 0 47 7 159
Age 77 185 124 7 2 13 0 34 5 131
Age 78 146 100 3 1 6 0 34 2 101
Age 79 151 101 6 2 6 0 33 3 94
Age 80 135 90 6 0 5 0 31 3 90
Age 81 126 83 8 0 3 0 32 0 83
Age 82 133 96 4 3 2 0 23 5 81
Age 83 107 56 7 1 5 0 31 7 64
Age 84 109 79 4 0 2 0 22 2 67
Age 85 111 83 5 0 4 0 19 0 54
Age 86 105 81 2 1 2 0 13 6 60
Age 87 64 49 1 0 2 0 12 0 35
Age 88 54 39 4 0 3 0 8 0 28
Age 89 60 44 4 0 1 0 9 2 30
Age 90 27 19 0 0 1 0 6 1 13
Age 91 29 28 0 0 0 0 1 0 8
Age 92 15 11 2 0 1 0 0 1 9
Age 93 19 14 0 0 0 0 2 3 10
Age 94 17 12 1 0 2 0 2 0 7
Age 95 5 3 1 0 0 0 1 0 1
Age 96 14 12 2 0 0 0 0 0 4
Age 97 2 0 0 0 0 0 2 0 2
Age 98 2 1 1 0 0 0 0 0 0
Age 99 1 1 0 0 0 0 0 0 0
Age 100-104 3 1 1 0 0 0 1 0 0
Age 105-110 1 1 0 0 0 0 0 0 1
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: 60647
AgeTotalWhite
alone		Black
alone		AIAN /1
alone		Asian
alone		NHOPI /2
alone		Other race
alone		Two or
more races		Hispanic
any race
Total population 87,291 52,587 6,482 632 2,156 73 21,626 3,735 47,697
Age 0-4 4,178 2,427 273 21 82 2 1,037 336 2,455
Age 5-9 5,502 2,644 559 57 66 6 1,794 376 3,982
Age 10-14 4,679 2,021 551 53 26 5 1,714 309 3,786
Age 15-19 4,852 1,968 604 37 28 5 1,924 286 3,977
Age 20-24 5,923 3,020 491 57 101 6 1,975 273 3,967
Age 25-29 11,519 7,996 646 60 355 10 2,051 401 4,185
Age 30-34 12,370 8,756 625 58 543 11 1,978 399 4,110
Age 35-39 9,077 6,129 519 66 352 6 1,702 303 3,778
Age 40-44 6,823 4,237 480 45 198 7 1,612 244 3,441
Age 45-49 5,056 2,940 444 50 67 6 1,363 186 2,965
Age 50-54 4,478 2,527 408 36 79 3 1,281 144 2,780
Age 55-59 3,718 2,107 326 25 52 2 1,054 152 2,373
Age 60-64 3,054 1,834 235 24 52 2 797 110 1,898
Age 65-69 2,133 1,335 136 12 44 2 518 86 1,416
Age 70-74 1,455 940 80 17 34 0 319 65 986
Age 75-79 1,038 702 43 6 32 0 225 30 756
Age 80-84 691 470 27 6 22 0 153 13 449
Age 85 up 745 534 35 2 23 0 129 22 393

  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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