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ZIP Code Area 11222 Detailed Age-Race/Origin Profile

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$median household income
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113th Congressional Districts
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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 11222 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 11222

  View developed with CV XE GIS.

ZIP Code 11222 is located in Kings County, NY (36047).

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: 11222 -- 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 36,934 30,855 807 111 1,813 19 2,306 1,023 5,702
Age 0 343 260 8 3 13 1 25 33 72
Age 1 305 240 5 2 7 0 28 23 69
Age 2 213 161 5 2 6 0 17 22 52
Age 3 231 185 1 0 11 0 28 6 51
Age 4 197 156 2 0 8 0 19 12 51
Age 5 233 164 8 3 11 0 31 16 69
Age 6 215 176 5 0 7 0 17 10 51
Age 7 174 126 1 1 9 0 27 10 51
Age 8 208 159 4 2 14 0 18 11 55
Age 9 191 133 4 0 11 0 30 13 50
Age 10 188 138 5 0 9 0 26 10 57
Age 11 201 143 8 2 16 0 22 10 64
Age 12 185 130 8 0 16 0 24 7 45
Age 13 256 173 9 3 12 0 43 16 91
Age 14 218 160 4 0 11 0 35 8 72
Age 15 255 197 5 0 15 0 30 8 68
Age 16 219 154 7 0 16 0 36 6 72
Age 17 247 179 10 4 13 0 33 8 74
Age 18 281 211 11 0 22 0 29 8 78
Age 19 251 180 12 1 14 0 31 13 72
Age 20 322 250 12 4 18 0 30 8 82
Age 21 403 306 10 1 24 1 43 18 83
Age 22 578 480 13 8 22 0 37 18 88
Age 23 731 610 12 1 26 1 45 36 99
Age 24 980 824 12 3 52 1 47 41 130
Age 25 1,227 1,036 24 3 61 1 68 34 148
Age 26 1,178 1,020 18 4 58 0 45 33 114
Age 27 1,362 1,152 21 2 73 2 63 49 161
Age 28 1,407 1,207 25 2 74 0 56 43 153
Age 29 1,294 1,117 18 3 72 1 50 33 119
Age 30 1,359 1,170 21 2 85 1 40 40 135
Age 31 1,180 1,013 24 2 66 0 37 38 144
Age 32 1,052 896 17 6 47 1 53 32 142
Age 33 996 860 20 1 44 1 51 19 129
Age 34 873 732 22 4 50 0 45 20 102
Age 35 855 729 16 0 39 0 47 24 105
Age 36 700 585 19 1 37 1 45 12 119
Age 37 590 477 17 2 38 0 36 20 95
Age 38 598 477 21 6 30 0 49 15 114
Age 39 549 451 17 0 30 0 35 16 84
Age 40 555 467 16 4 23 0 35 10 82
Age 41 443 365 15 1 24 0 26 12 81
Age 42 461 354 10 1 33 1 51 11 82
Age 43 461 378 14 0 30 0 29 10 73
Age 44 428 351 11 0 25 0 35 6 69
Age 45 418 334 12 1 25 0 37 9 79
Age 46 393 314 8 2 28 0 36 5 73
Age 47 366 289 18 1 24 0 24 10 58
Age 48 432 362 19 3 20 1 23 4 61
Age 49 408 353 5 2 14 0 26 8 58
Age 50 497 441 13 0 16 0 17 10 55
Age 51 408 345 17 1 16 0 23 6 44
Age 52 482 418 9 0 16 3 30 6 70
Age 53 438 386 10 1 19 0 15 7 59
Age 54 491 395 15 1 41 1 28 10 66
Age 55 482 415 12 1 18 1 29 6 66
Age 56 410 350 10 2 15 0 31 2 66
Age 57 394 348 7 1 17 0 18 3 54
Age 58 388 342 11 0 12 0 18 5 50
Age 59 403 354 4 0 11 0 30 4 56
Age 60 425 375 7 1 8 0 26 8 65
Age 61 350 305 8 1 15 0 12 9 53
Age 62 387 346 2 1 13 0 19 6 55
Age 63 302 273 10 1 5 0 7 6 38
Age 64 243 199 3 0 14 0 22 5 47
Age 65 269 238 3 1 10 0 14 3 46
Age 66 232 207 3 0 10 0 11 1 32
Age 67 217 189 2 0 9 0 14 3 42
Age 68 195 153 2 0 13 0 19 8 43
Age 69 170 152 0 2 6 0 8 2 19
Age 70 189 163 4 2 3 0 15 2 39
Age 71 205 181 3 0 8 0 11 2 36
Age 72 177 158 2 1 3 0 9 4 17
Age 73 150 133 2 0 6 0 6 3 20
Age 74 147 129 4 0 3 0 11 0 25
Age 75 157 131 5 0 10 0 8 3 28
Age 76 108 94 4 0 4 0 6 0 14
Age 77 110 97 1 0 4 0 6 2 19
Age 78 116 99 1 1 4 0 10 1 22
Age 79 109 93 5 0 7 0 3 1 14
Age 80 127 112 4 0 7 0 3 1 18
Age 81 117 105 0 0 5 0 7 0 18
Age 82 101 90 0 0 3 0 6 2 14
Age 83 101 92 1 0 3 0 4 1 9
Age 84 99 85 5 0 4 0 4 1 12
Age 85 83 76 1 0 1 0 5 0 8
Age 86 67 63 0 0 3 0 1 0 7
Age 87 68 60 3 0 4 0 1 0 6
Age 88 76 69 0 0 5 0 1 1 2
Age 89 49 42 1 0 4 0 0 2 2
Age 90 41 36 1 0 2 0 2 0 6
Age 91 28 27 1 0 0 0 0 0 1
Age 92 32 30 0 0 0 0 1 1 3
Age 93 24 24 0 0 0 0 0 0 0
Age 94 19 17 0 0 1 0 0 1 2
Age 95 12 11 0 0 1 0 0 0 2
Age 96 12 10 1 0 1 0 0 0 2
Age 97 6 6 0 0 0 0 0 0 1
Age 98 5 4 0 0 0 0 1 0 1
Age 99 2 1 1 0 0 0 0 0 0
Age 100-104 3 2 0 0 0 0 1 0 1
Age 105-110 1 0 0 0 0 0 0 1 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: 11222
AgeTotalWhite
alone		Black
alone		AIAN /1
alone		Asian
alone		NHOPI /2
alone		Other race
alone		Two or
more races		Hispanic
any race
Total population 36,934 30,855 807 111 1,813 19 2,306 1,023 5,702
Age 0-4 861 661 18 7 26 1 70 78 193
Age 5-9 1,050 807 17 4 46 0 122 54 273
Age 10-14 973 703 29 4 66 0 120 51 271
Age 15-19 1,195 863 35 7 67 0 177 46 377
Age 20-24 1,835 1,427 58 14 100 1 170 65 403
Age 25-29 5,478 4,642 87 13 270 5 268 193 652
Age 30-34 6,292 5,403 105 15 344 3 236 186 693
Age 35-39 4,014 3,383 94 8 208 2 224 95 550
Age 40-44 2,606 2,114 79 12 140 1 196 64 443
Age 45-49 2,066 1,666 63 4 132 0 161 40 352
Age 50-54 2,227 1,919 63 6 82 4 119 34 288
Age 55-59 2,215 1,894 54 6 110 2 121 28 311
Age 60-64 1,953 1,722 32 3 59 0 105 32 279
Age 65-69 1,263 1,106 21 2 48 0 68 18 205
Age 70-74 936 807 11 5 33 0 62 18 154
Age 75-79 672 584 16 0 27 0 37 8 106
Age 80-84 570 499 10 1 26 0 29 5 86
Age 85 up 728 655 15 0 29 0 21 8 66

  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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