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ZIP Code Area 10021 Detailed Age-Race/Origin Profile

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Visual analysis with ProximityOne tools
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site analysis using 1 mile radius
S1

$median household income
patterns by census tract - Houston
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113th Congressional Districts
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US Asian Indian population 2010
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geocoded students and school
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Austin, TX MSA counties &
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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 10021 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 10021

  View developed with CV XE GIS.

ZIP Code 10021 is located in New York County, NY (36061).

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: 10021 -- 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 43,631 38,391 791 54 3,182 13 413 787 2,345
Age 0 608 518 6 2 30 0 7 45 39
Age 1 472 405 2 0 29 0 5 31 19
Age 2 483 420 2 1 30 0 7 23 24
Age 3 379 331 1 1 26 0 7 13 20
Age 4 376 319 2 0 27 0 5 23 22
Age 5 365 312 2 0 28 0 7 16 20
Age 6 312 267 4 3 18 0 1 19 15
Age 7 305 273 3 0 17 0 2 10 26
Age 8 263 239 3 0 12 0 3 6 13
Age 9 304 259 7 0 22 0 0 16 18
Age 10 287 260 5 2 10 0 4 6 21
Age 11 233 203 2 0 14 0 2 12 11
Age 12 239 215 1 0 11 0 4 8 22
Age 13 209 184 2 0 14 0 4 5 19
Age 14 214 186 2 0 13 0 3 10 21
Age 15 226 207 3 0 10 0 1 5 17
Age 16 154 143 1 0 4 0 1 5 11
Age 17 198 180 3 0 6 0 2 7 15
Age 18 146 128 4 0 3 0 2 9 13
Age 19 116 95 3 1 9 0 3 5 8
Age 20 167 139 5 0 14 0 3 6 11
Age 21 199 173 8 2 8 0 5 3 16
Age 22 359 278 9 1 49 1 8 13 28
Age 23 574 496 15 0 44 0 7 12 51
Age 24 751 636 20 0 68 0 8 19 42
Age 25 975 796 33 2 102 1 14 27 54
Age 26 945 778 29 4 96 0 12 26 57
Age 27 1,062 888 21 0 129 1 6 17 53
Age 28 1,078 880 29 0 130 0 13 26 59
Age 29 1,060 871 22 3 127 1 17 19 67
Age 30 1,150 957 28 0 126 1 14 24 61
Age 31 999 820 18 0 118 0 23 20 58
Age 32 943 786 17 1 111 0 10 18 53
Age 33 915 764 15 0 112 0 4 20 47
Age 34 819 668 16 2 108 0 10 15 71
Age 35 766 624 10 0 110 0 10 12 41
Age 36 685 575 13 0 71 0 9 17 36
Age 37 640 540 4 2 78 0 2 14 27
Age 38 696 585 17 1 76 0 4 13 40
Age 39 619 521 13 0 72 0 7 6 33
Age 40 671 578 9 2 62 0 10 10 45
Age 41 561 488 10 0 56 0 2 5 31
Age 42 546 477 8 3 39 0 8 11 36
Age 43 559 479 14 1 51 1 9 4 38
Age 44 556 475 19 1 45 3 9 4 34
Age 45 532 459 19 2 41 0 5 6 36
Age 46 502 434 10 1 41 0 8 8 31
Age 47 510 454 9 1 39 0 2 5 32
Age 48 448 383 15 0 39 0 5 6 24
Age 49 514 465 11 0 26 0 6 6 46
Age 50 584 519 10 0 42 1 3 9 25
Age 51 476 408 15 1 39 0 4 9 28
Age 52 481 436 12 0 26 0 3 4 29
Age 53 552 496 7 0 37 0 7 5 32
Age 54 466 428 12 1 21 0 2 2 23
Age 55 524 463 14 1 33 0 4 9 41
Age 56 504 466 7 0 24 0 5 2 27
Age 57 446 412 13 1 19 0 0 1 24
Age 58 482 449 5 0 26 0 1 1 32
Age 59 573 535 15 1 17 0 3 2 26
Age 60 593 550 8 1 28 0 3 3 21
Age 61 569 519 12 2 27 1 5 3 29
Age 62 635 600 11 1 14 0 3 6 21
Age 63 651 591 9 2 38 0 4 7 22
Age 64 509 482 5 0 16 0 4 2 21
Age 65 550 520 4 0 20 0 2 4 18
Age 66 493 457 8 1 19 0 2 6 16
Age 67 565 542 6 0 12 0 2 3 24
Age 68 483 456 5 1 18 0 3 0 14
Age 69 452 428 6 0 16 0 1 1 10
Age 70 442 414 9 0 13 0 2 4 17
Age 71 408 383 7 0 13 0 1 4 17
Age 72 409 391 5 0 12 0 1 0 11
Age 73 374 348 6 0 13 0 3 4 12
Age 74 357 335 7 1 11 0 2 1 12
Age 75 408 383 5 0 13 0 3 4 19
Age 76 313 290 6 1 10 1 1 4 16
Age 77 287 269 1 0 12 0 3 2 20
Age 78 314 298 3 0 11 0 1 1 13
Age 79 352 329 9 0 9 1 2 2 12
Age 80 293 275 4 0 8 0 2 4 14
Age 81 276 261 6 0 6 0 2 1 6
Age 82 277 266 2 0 7 0 2 0 9
Age 83 241 228 1 0 8 0 0 4 5
Age 84 231 220 2 0 5 0 2 2 8
Age 85 231 222 2 0 6 0 1 0 9
Age 86 165 160 3 0 1 0 0 1 2
Age 87 165 159 2 0 1 0 2 1 5
Age 88 137 133 1 0 3 0 0 0 1
Age 89 129 125 1 0 1 0 0 2 5
Age 90 95 93 0 0 1 0 0 1 3
Age 91 111 109 0 0 1 0 1 0 3
Age 92 70 65 1 0 4 0 0 0 1
Age 93 77 77 0 0 0 0 0 0 2
Age 94 41 41 0 0 0 0 0 0 4
Age 95 51 51 0 0 0 0 0 0 1
Age 96 22 21 0 0 0 0 1 0 2
Age 97 26 26 0 0 0 0 0 0 1
Age 98 13 13 0 0 0 0 0 0 0
Age 99 12 12 0 0 0 0 0 0 0
Age 100-104 26 26 0 0 0 0 0 0 0
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: 10021
AgeTotalWhite
alone		Black
alone		AIAN /1
alone		Asian
alone		NHOPI /2
alone		Other race
alone		Two or
more races		Hispanic
any race
Total population 43,631 38,391 791 54 3,182 13 413 787 2,345
Age 0-4 1,563 1,343 10 3 89 0 19 99 82
Age 5-9 1,737 1,502 12 4 116 0 22 81 103
Age 10-14 1,326 1,176 18 2 69 0 13 48 85
Age 15-19 1,001 900 11 0 47 0 11 32 83
Age 20-24 987 813 29 4 83 1 21 36 76
Age 25-29 4,307 3,594 118 6 439 2 47 101 257
Age 30-34 5,230 4,314 114 4 612 2 77 107 298
Age 35-39 3,825 3,171 58 4 479 0 35 78 222
Age 40-44 3,093 2,649 57 6 305 0 31 45 185
Age 45-49 2,659 2,301 71 6 217 4 33 27 171
Age 50-54 2,503 2,211 63 1 172 1 21 34 152
Age 55-59 2,492 2,265 53 3 134 0 18 19 147
Age 60-64 2,852 2,653 51 5 112 1 15 15 129
Age 65-69 2,768 2,592 32 3 105 0 14 22 101
Age 70-74 2,194 2,072 32 1 72 0 8 9 69
Age 75-79 1,739 1,625 25 2 59 1 12 15 79
Age 80-84 1,512 1,429 24 0 41 1 9 8 54
Age 85 up 1,843 1,781 13 0 31 0 7 11 52

  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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