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ZIP Code Area 96815 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 96815 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 96815

  View developed with CV XE GIS.

ZIP Code 96815 is located in Honolulu County, HI (15003).

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: 96815 -- 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 31,470 12,965 616 137 11,937 1,430 363 4,022 1,903
Age 0 248 43 4 1 76 16 4 104 25
Age 1 226 43 3 0 76 23 2 79 26
Age 2 194 39 3 0 60 20 2 70 17
Age 3 196 33 2 0 70 19 2 70 22
Age 4 183 30 2 0 45 20 1 85 22
Age 5 191 32 1 0 68 17 2 71 17
Age 6 163 24 1 2 59 19 1 57 12
Age 7 142 18 0 0 60 6 1 57 20
Age 8 143 24 0 0 53 8 2 56 22
Age 9 156 21 0 1 64 9 1 60 10
Age 10 163 22 0 0 72 14 0 55 19
Age 11 164 19 0 0 74 14 2 55 12
Age 12 138 17 0 0 63 9 1 48 7
Age 13 156 19 3 0 71 13 0 50 15
Age 14 144 18 0 0 74 9 3 40 7
Age 15 186 29 3 0 80 18 0 56 12
Age 16 163 25 3 2 66 13 1 53 22
Age 17 171 39 0 2 73 8 2 47 14
Age 18 218 62 4 3 77 15 4 53 18
Age 19 316 102 14 6 94 23 9 68 26
Age 20 376 140 10 2 116 33 5 70 37
Age 21 476 176 9 1 180 26 7 77 38
Age 22 559 264 13 5 152 35 7 83 49
Age 23 571 285 16 1 151 26 8 84 41
Age 24 609 304 12 5 174 27 10 77 49
Age 25 634 315 18 2 167 30 15 87 44
Age 26 625 300 21 3 183 24 19 75 60
Age 27 628 303 13 6 173 33 11 89 50
Age 28 603 277 11 4 174 39 15 83 48
Age 29 577 273 22 4 167 19 16 76 48
Age 30 602 300 21 0 161 35 12 73 53
Age 31 504 200 7 2 200 19 10 66 35
Age 32 518 212 14 3 182 21 10 76 45
Age 33 495 205 8 2 188 21 12 59 40
Age 34 461 178 6 0 189 21 6 61 31
Age 35 487 172 14 2 215 21 9 54 36
Age 36 488 181 13 3 199 19 12 61 45
Age 37 481 162 11 2 216 25 5 60 37
Age 38 443 170 7 0 195 15 15 41 33
Age 39 479 184 10 2 202 24 2 55 20
Age 40 505 184 18 0 223 18 15 47 30
Age 41 447 156 19 3 192 18 7 52 37
Age 42 421 140 17 0 187 33 2 42 18
Age 43 412 159 13 6 161 23 4 46 26
Age 44 451 169 7 2 204 25 1 43 29
Age 45 502 195 17 3 221 23 2 41 24
Age 46 454 179 9 8 176 22 2 58 24
Age 47 455 181 13 5 182 30 6 38 32
Age 48 496 185 10 2 206 23 7 63 41
Age 49 451 193 13 4 165 22 6 48 30
Age 50 555 245 12 2 209 20 10 57 27
Age 51 461 208 17 4 183 12 4 33 20
Age 52 434 174 7 1 186 14 7 45 21
Age 53 417 178 8 1 168 16 4 42 23
Age 54 453 178 16 2 183 20 13 41 24
Age 55 486 220 10 2 189 20 0 45 19
Age 56 458 220 8 1 174 11 1 43 12
Age 57 455 201 12 3 178 29 1 31 29
Age 58 448 202 11 3 178 13 5 36 22
Age 59 421 176 2 2 182 17 2 40 17
Age 60 518 253 10 2 205 9 3 36 20
Age 61 487 212 5 3 214 19 0 34 18
Age 62 511 250 9 0 191 21 1 39 18
Age 63 479 256 8 1 171 13 2 28 16
Age 64 342 155 2 0 142 13 0 30 13
Age 65 383 207 7 1 124 15 0 29 5
Age 66 343 180 2 0 122 15 0 24 13
Age 67 313 165 4 0 108 7 1 28 8
Age 68 274 140 1 1 102 11 1 18 5
Age 69 311 170 3 0 120 2 0 16 6
Age 70 283 140 1 1 119 4 1 17 5
Age 71 272 153 1 1 90 9 1 17 10
Age 72 246 118 2 0 101 6 1 18 12
Age 73 222 103 4 0 98 7 1 9 4
Age 74 219 102 0 1 94 6 0 16 5
Age 75 227 108 2 0 96 8 0 13 9
Age 76 192 100 1 3 74 5 1 8 4
Age 77 189 86 2 0 89 0 0 12 2
Age 78 194 103 4 0 72 8 0 7 7
Age 79 205 106 1 0 81 8 0 9 5
Age 80 203 107 4 0 77 3 0 12 2
Age 81 185 88 1 0 83 4 0 9 1
Age 82 171 88 1 0 72 2 0 8 2
Age 83 157 75 0 1 71 2 0 8 1
Age 84 162 87 1 0 64 0 1 9 5
Age 85 155 63 1 1 73 7 3 7 8
Age 86 140 63 1 0 65 2 1 8 2
Age 87 98 39 0 0 55 1 0 3 1
Age 88 96 51 0 0 39 1 0 5 1
Age 89 93 43 0 1 40 4 0 5 2
Age 90 89 33 0 0 54 2 0 0 1
Age 91 80 37 0 0 41 0 0 2 0
Age 92 36 10 0 0 24 0 0 2 1
Age 93 42 22 0 0 18 0 0 2 1
Age 94 31 23 0 0 8 0 0 0 1
Age 95 16 9 0 0 7 0 0 0 0
Age 96 25 9 0 0 14 1 0 1 0
Age 97 8 1 0 0 7 0 0 0 0
Age 98 5 3 0 0 2 0 0 0 0
Age 99 6 2 0 0 3 0 0 1 0
Age 100-104 3 2 0 0 1 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: 96815
AgeTotalWhite
alone		Black
alone		AIAN /1
alone		Asian
alone		NHOPI /2
alone		Other race
alone		Two or
more races		Hispanic
any race
Total population 31,470 12,965 616 137 11,937 1,430 363 4,022 1,903
Age 0-4 668 125 10 1 212 59 8 253 68
Age 5-9 875 137 6 2 302 81 7 340 93
Age 10-14 764 103 0 1 326 54 6 274 70
Age 15-19 820 130 9 4 364 61 6 246 70
Age 20-24 1,945 744 50 17 619 132 32 351 168
Age 25-29 3,067 1,507 80 17 848 140 63 412 244
Age 30-34 2,804 1,262 75 13 884 133 63 374 229
Age 35-39 2,412 898 52 9 1,007 107 44 295 189
Age 40-44 2,295 834 71 5 999 108 41 237 138
Age 45-49 2,274 883 59 24 944 123 15 226 135
Age 50-54 2,397 1,005 59 13 949 91 34 246 139
Age 55-59 2,269 997 54 9 892 96 19 202 107
Age 60-64 2,385 1,093 37 10 970 79 11 185 95
Age 65-69 1,860 963 23 2 667 63 3 139 55
Age 70-74 1,386 721 8 3 532 32 4 86 38
Age 75-79 1,049 499 9 4 451 26 2 58 24
Age 80-84 958 492 11 0 385 25 0 45 17
Age 85 up 1,242 572 3 3 586 20 5 53 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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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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