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ZIP Code Area 98007 Detailed Age-Race/Origin Profile

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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 98007 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 98007

  View developed with CV XE GIS.

ZIP Code 98007 is located in King County, WA (53033).

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: 98007 -- 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 24,889 12,269 784 122 8,928 53 1,726 1,007 3,349
Age 0 431 127 19 2 204 2 38 39 70
Age 1 421 116 12 5 207 0 50 31 90
Age 2 386 124 12 7 173 1 33 36 77
Age 3 353 100 15 2 167 2 36 31 64
Age 4 334 119 13 3 146 1 25 27 65
Age 5 311 110 10 4 124 1 29 33 58
Age 6 329 121 17 3 116 0 36 36 70
Age 7 267 99 9 1 92 2 42 22 74
Age 8 262 96 15 2 73 1 45 30 72
Age 9 253 104 14 2 74 1 29 29 52
Age 10 217 110 8 1 42 0 28 28 53
Age 11 243 114 14 2 55 0 36 22 60
Age 12 201 99 10 2 52 0 24 14 43
Age 13 219 105 15 1 51 0 27 20 44
Age 14 212 102 15 0 49 0 33 13 53
Age 15 231 117 8 1 46 0 33 26 50
Age 16 195 95 6 3 52 1 16 22 39
Age 17 214 106 5 1 57 0 25 20 45
Age 18 228 113 10 0 70 0 21 14 33
Age 19 280 146 13 1 74 0 32 14 56
Age 20 304 160 8 3 81 1 38 13 58
Age 21 339 178 7 3 92 1 35 23 66
Age 22 342 175 11 0 109 4 31 12 62
Age 23 444 226 23 0 145 2 32 16 78
Age 24 527 240 13 2 212 0 40 20 69
Age 25 623 232 14 3 307 1 46 20 77
Age 26 718 241 25 5 398 2 35 12 71
Age 27 786 237 15 3 468 1 46 16 87
Age 28 737 239 11 1 407 2 52 25 92
Age 29 737 238 19 2 420 1 41 16 90
Age 30 656 164 17 2 406 1 41 25 80
Age 31 660 195 11 2 392 1 38 21 78
Age 32 619 179 18 1 365 1 44 11 80
Age 33 533 183 11 3 272 2 44 18 80
Age 34 509 181 12 1 253 1 37 24 74
Age 35 385 144 12 1 189 1 31 7 68
Age 36 367 142 16 2 161 0 33 13 63
Age 37 392 159 20 2 164 0 36 11 68
Age 38 333 144 12 1 131 0 33 12 54
Age 39 342 166 16 1 113 1 39 6 63
Age 40 349 166 19 1 126 1 29 7 49
Age 41 291 161 8 2 83 1 26 10 52
Age 42 287 158 9 5 82 1 25 7 46
Age 43 256 172 10 2 49 1 18 4 38
Age 44 275 159 14 2 68 1 20 11 34
Age 45 274 152 18 1 66 0 27 10 40
Age 46 276 169 11 0 73 1 18 4 41
Age 47 283 170 9 3 76 1 19 5 35
Age 48 263 172 12 0 60 1 11 7 36
Age 49 260 166 7 3 63 0 14 7 32
Age 50 277 190 12 0 55 1 13 6 31
Age 51 265 170 17 2 55 2 9 10 23
Age 52 268 184 9 0 62 0 8 5 18
Age 53 249 170 6 0 59 1 5 8 19
Age 54 274 176 5 4 74 1 8 6 25
Age 55 252 173 8 1 57 0 9 4 15
Age 56 230 149 8 1 55 0 12 5 21
Age 57 226 161 4 2 54 0 2 3 9
Age 58 200 145 1 0 44 3 5 2 11
Age 59 190 113 5 2 61 0 3 6 12
Age 60 192 131 5 2 47 0 3 4 8
Age 61 206 150 7 0 43 0 3 3 16
Age 62 199 135 6 1 50 0 5 2 12
Age 63 208 164 2 0 38 0 1 3 11
Age 64 150 105 5 0 31 0 6 3 10
Age 65 150 114 2 0 31 0 1 2 5
Age 66 148 107 3 1 31 0 1 5 6
Age 67 148 116 2 0 27 0 1 2 7
Age 68 151 117 3 2 27 0 0 2 7
Age 69 103 74 2 0 24 0 1 2 3
Age 70 122 83 5 0 29 0 3 2 8
Age 71 133 110 2 0 20 0 1 0 2
Age 72 139 101 0 0 30 0 2 6 5
Age 73 118 96 1 0 14 1 1 5 5
Age 74 99 83 1 0 14 0 1 0 3
Age 75 103 79 4 1 18 0 0 1 2
Age 76 109 84 2 0 20 0 1 2 1
Age 77 97 84 2 0 9 0 1 1 2
Age 78 107 96 2 0 8 0 0 1 1
Age 79 95 77 2 2 11 0 1 2 3
Age 80 106 101 0 0 3 0 1 1 1
Age 81 89 82 0 0 7 0 0 0 1
Age 82 89 76 0 0 11 0 1 1 1
Age 83 85 73 0 0 11 1 0 0 1
Age 84 81 71 0 0 10 0 0 0 1
Age 85 67 60 1 0 5 0 0 1 2
Age 86 64 56 0 1 7 0 0 0 0
Age 87 75 68 2 0 5 0 0 0 3
Age 88 50 49 0 0 1 0 0 0 1
Age 89 52 48 0 0 4 0 0 0 2
Age 90 49 45 0 0 4 0 0 0 2
Age 91 27 24 0 0 3 0 0 0 0
Age 92 26 24 0 0 2 0 0 0 0
Age 93 16 14 0 0 2 0 0 0 0
Age 94 12 12 0 0 0 0 0 0 0
Age 95 16 16 0 0 0 0 0 0 0
Age 96 11 11 0 0 0 0 0 0 3
Age 97 1 1 0 0 0 0 0 0 0
Age 98 2 2 0 0 0 0 0 0 0
Age 99 3 2 0 0 0 0 0 1 1
Age 100-104 5 5 0 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: 98007
AgeTotalWhite
alone		Black
alone		AIAN /1
alone		Asian
alone		NHOPI /2
alone		Other race
alone		Two or
more races		Hispanic
any race
Total population 24,889 12,269 784 122 8,928 53 1,726 1,007 3,349
Age 0-4 1,238 367 43 14 584 3 121 106 237
Age 5-9 1,594 549 64 13 645 6 168 149 331
Age 10-14 1,176 523 61 9 296 2 162 123 280
Age 15-19 1,071 525 49 6 255 1 134 101 231
Age 20-24 1,493 772 49 7 426 6 157 76 275
Age 25-29 3,098 1,176 90 13 1,530 6 199 84 382
Age 30-34 3,409 1,015 76 8 1,990 6 216 98 420
Age 35-39 2,186 809 71 9 1,039 4 181 73 353
Age 40-44 1,602 795 64 10 535 4 152 42 264
Age 45-49 1,364 822 62 8 332 4 102 34 188
Age 50-54 1,333 882 57 5 295 4 55 35 140
Age 55-59 1,231 829 31 8 299 2 36 26 89
Age 60-64 987 674 24 5 245 3 19 17 59
Age 65-69 804 606 14 1 158 0 10 15 39
Age 70-74 648 485 12 2 130 0 7 12 25
Age 75-79 526 426 10 1 75 1 4 9 13
Age 80-84 486 432 4 2 40 0 3 5 7
Age 85 up 643 582 3 1 54 1 0 2 16

  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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