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ZIP Code Area 28212 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 28212 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 28212

  View developed with CV XE GIS.

ZIP Code 28212 is located in Mecklenburg County, NC (37119).

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: 28212 -- 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 38,457 12,240 16,921 330 1,408 0 6,196 1,308 10,775
Age 0 754 177 306 7 23 0 189 49 328
Age 1 736 187 294 7 21 0 185 42 317
Age 2 726 173 288 4 18 0 200 42 331
Age 3 714 194 272 10 20 0 180 35 322
Age 4 694 168 282 5 20 0 182 35 326
Age 5 607 126 256 12 15 0 153 43 253
Age 6 561 126 249 6 15 0 126 35 224
Age 7 598 123 278 5 20 0 141 31 227
Age 8 572 120 283 4 24 0 116 24 197
Age 9 598 134 292 4 21 0 117 29 219
Age 10 609 135 308 7 23 0 106 28 191
Age 11 554 114 289 6 18 0 92 35 187
Age 12 495 102 263 7 20 0 78 25 141
Age 13 504 105 272 1 22 0 75 29 132
Age 14 477 96 260 8 22 0 67 23 130
Age 15 502 104 255 3 23 0 87 30 138
Age 16 510 85 300 1 32 0 67 25 111
Age 17 483 101 275 1 16 0 68 22 120
Age 18 495 124 247 5 21 0 85 13 147
Age 19 546 105 270 2 24 0 112 33 166
Age 20 585 159 275 8 15 0 104 23 179
Age 21 603 145 311 5 19 0 103 20 175
Age 22 628 184 288 4 19 0 116 17 195
Age 23 738 187 323 13 23 0 169 22 282
Age 24 718 218 310 0 22 0 147 20 241
Age 25 797 245 326 11 21 0 167 25 279
Age 26 758 213 327 2 17 0 166 32 275
Age 27 775 214 307 12 23 0 192 24 308
Age 28 795 232 325 4 27 0 185 20 300
Age 29 769 207 280 13 37 0 207 23 304
Age 30 803 260 319 7 12 0 174 28 306
Age 31 705 204 282 8 27 0 165 19 255
Age 32 745 203 320 7 17 0 177 19 291
Age 33 666 197 262 1 11 0 172 19 269
Age 34 666 190 285 6 29 0 135 20 255
Age 35 695 210 288 4 26 0 141 21 251
Age 36 535 175 216 4 18 0 108 13 197
Age 37 603 173 279 6 24 0 107 13 188
Age 38 587 180 297 3 22 0 76 9 135
Age 39 556 158 283 5 13 0 89 8 139
Age 40 575 147 275 13 26 0 99 14 163
Age 41 535 157 266 3 23 0 68 18 136
Age 42 503 154 241 2 19 0 73 14 131
Age 43 447 142 219 5 22 0 46 13 92
Age 44 498 140 268 3 19 0 53 14 99
Age 45 499 156 251 4 25 0 50 13 101
Age 46 510 164 269 5 17 0 42 13 83
Age 47 492 160 258 3 13 0 43 15 69
Age 48 486 162 250 1 20 0 30 23 60
Age 49 466 166 209 4 24 0 49 14 76
Age 50 483 168 252 3 25 0 27 8 57
Age 51 458 170 215 8 23 0 34 8 69
Age 52 404 146 224 2 11 0 18 3 44
Age 53 429 161 218 4 15 0 22 9 47
Age 54 421 174 184 7 20 0 21 15 53
Age 55 375 166 159 1 17 0 24 8 47
Age 56 332 134 149 1 19 0 23 6 40
Age 57 326 151 132 4 21 0 10 8 34
Age 58 296 118 135 3 16 0 21 3 40
Age 59 316 155 125 3 14 0 17 1 37
Age 60 303 128 143 3 17 0 3 8 26
Age 61 249 123 99 1 12 0 10 4 22
Age 62 306 169 100 4 11 0 12 10 25
Age 63 262 139 98 2 9 0 9 5 22
Age 64 175 94 69 0 5 0 5 2 17
Age 65 200 104 69 0 12 0 8 7 13
Age 66 187 120 53 2 10 0 1 1 11
Age 67 169 90 60 1 12 0 5 1 13
Age 68 175 101 49 1 16 0 6 2 13
Age 69 144 83 50 1 6 0 2 2 6
Age 70 151 82 51 0 10 0 7 1 14
Age 71 127 86 28 0 7 0 1 5 6
Age 72 125 79 33 1 7 0 3 2 13
Age 73 140 92 36 2 3 0 7 0 6
Age 74 88 64 18 1 3 0 1 1 4
Age 75 98 63 23 0 8 0 3 1 5
Age 76 96 72 18 1 2 0 2 1 6
Age 77 86 63 18 0 2 0 0 3 2
Age 78 110 83 18 1 4 0 4 0 8
Age 79 90 72 13 0 3 0 1 1 1
Age 80 86 66 17 0 3 0 0 0 4
Age 81 86 71 10 1 3 0 0 1 4
Age 82 79 64 13 0 2 0 0 0 1
Age 83 86 60 14 1 5 0 3 3 8
Age 84 65 56 9 0 0 0 0 0 0
Age 85 83 67 12 0 1 0 3 0 4
Age 86 61 53 7 0 1 0 0 0 0
Age 87 63 51 9 0 2 0 1 0 1
Age 88 59 52 7 0 0 0 0 0 2
Age 89 47 37 7 0 1 0 0 2 1
Age 90 32 25 5 0 1 0 1 0 2
Age 91 29 22 7 0 0 0 0 0 0
Age 92 21 16 4 0 0 0 1 0 2
Age 93 15 11 2 0 1 0 0 1 1
Age 94 10 8 1 0 0 0 1 0 1
Age 95 16 11 4 0 0 0 0 1 1
Age 96 7 6 1 0 0 0 0 0 1
Age 97 2 2 0 0 0 0 0 0 0
Age 98 4 4 0 0 0 0 0 0 0
Age 99 2 1 1 0 0 0 0 0 0
Age 100-104 9 5 4 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: 28212
AgeTotalWhite
alone		Black
alone		AIAN /1
alone		Asian
alone		NHOPI /2
alone		Other race
alone		Two or
more races		Hispanic
any race
Total population 38,457 12,240 16,921 330 1,408 0 6,196 1,308 10,775
Age 0-4 2,216 537 888 18 62 0 574 133 976
Age 5-9 3,174 737 1,337 38 90 0 782 179 1,352
Age 10-14 2,828 605 1,435 28 106 0 509 141 935
Age 15-19 2,476 491 1,362 14 115 0 364 129 631
Age 20-24 2,857 717 1,391 24 98 0 520 106 862
Age 25-29 3,786 1,077 1,593 38 106 0 841 123 1,385
Age 30-34 3,817 1,106 1,526 39 120 0 908 109 1,456
Age 35-39 3,165 945 1,330 21 108 0 663 86 1,160
Age 40-44 2,756 796 1,362 26 103 0 405 63 704
Age 45-49 2,446 762 1,265 20 96 0 234 68 444
Age 50-54 2,297 812 1,150 18 103 0 158 56 306
Age 55-59 1,883 786 842 17 92 0 100 46 221
Age 60-64 1,470 693 602 14 70 0 63 26 150
Age 65-69 993 547 349 5 48 0 28 16 76
Age 70-74 722 431 211 3 46 0 19 12 52
Age 75-79 508 354 113 4 18 0 13 6 23
Age 80-84 451 356 71 2 15 0 5 2 18
Age 85 up 612 488 94 1 12 0 10 7 24

  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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