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ZIP Code Area 90210 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
McKinney ISD, TX
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%high school graduates by
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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 90210 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 90210

  View developed with CV XE GIS.

ZIP Code 90210 is located in Los Angeles County, CA (06037).

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: 90210 -- 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 21,741 18,845 378 19 1,261 9 277 952 1,092
Age 0 161 134 1 0 8 0 5 13 9
Age 1 189 166 2 0 7 0 2 12 13
Age 2 170 145 3 1 8 0 1 12 12
Age 3 226 188 1 0 12 0 3 22 13
Age 4 219 189 1 1 11 0 0 17 6
Age 5 214 183 5 1 9 0 1 15 10
Age 6 249 223 2 1 8 0 1 14 9
Age 7 227 193 2 0 14 0 1 17 15
Age 8 244 219 0 0 12 0 2 11 9
Age 9 239 207 0 0 13 0 2 17 7
Age 10 279 245 5 0 11 0 4 14 13
Age 11 246 209 3 0 21 0 2 11 11
Age 12 231 193 6 0 14 0 0 18 9
Age 13 259 227 4 0 15 0 2 11 15
Age 14 304 255 5 0 14 0 3 27 10
Age 15 284 240 3 1 17 0 3 20 11
Age 16 294 257 5 0 24 0 2 6 12
Age 17 260 220 1 0 23 0 3 13 21
Age 18 233 198 4 0 16 0 3 12 12
Age 19 194 168 1 1 8 0 2 14 8
Age 20 180 147 5 0 11 2 2 13 11
Age 21 154 125 3 0 6 0 7 13 14
Age 22 207 182 2 0 13 0 2 8 7
Age 23 203 171 6 1 5 1 7 12 13
Age 24 194 162 4 0 16 1 2 9 12
Age 25 220 184 5 1 16 0 2 12 10
Age 26 164 142 3 0 8 0 4 7 12
Age 27 194 160 7 0 13 0 4 10 11
Age 28 192 158 2 1 15 0 8 8 21
Age 29 184 160 4 0 7 0 2 11 14
Age 30 189 144 5 0 24 1 4 11 12
Age 31 163 135 5 0 11 0 2 10 9
Age 32 191 169 5 0 9 1 2 5 9
Age 33 168 134 3 0 15 1 5 10 13
Age 34 172 142 4 0 18 0 2 6 11
Age 35 204 166 9 0 19 0 4 6 11
Age 36 191 154 3 1 20 0 5 8 13
Age 37 222 177 3 1 23 0 2 16 21
Age 38 280 224 11 1 27 0 5 12 20
Age 39 225 184 9 0 19 1 4 8 20
Age 40 315 265 10 1 23 0 8 8 18
Age 41 307 261 3 0 20 0 8 15 19
Age 42 253 201 6 0 27 0 4 15 25
Age 43 266 226 4 0 24 0 5 7 16
Age 44 294 249 6 0 18 0 5 16 23
Age 45 339 280 9 1 29 0 2 18 18
Age 46 320 280 6 0 23 0 3 8 16
Age 47 327 260 11 0 37 0 4 15 13
Age 48 333 276 7 0 31 0 6 13 13
Age 49 345 286 5 0 32 0 3 19 14
Age 50 394 332 6 0 22 0 11 23 29
Age 51 310 263 5 0 27 0 5 10 23
Age 52 322 274 5 0 15 0 7 21 13
Age 53 321 282 6 0 21 0 1 11 17
Age 54 353 311 9 1 15 0 3 14 15
Age 55 375 325 8 0 21 0 7 14 25
Age 56 315 279 5 0 15 0 5 11 20
Age 57 328 287 6 1 16 0 7 11 21
Age 58 307 264 3 0 19 0 6 15 19
Age 59 325 281 6 1 20 1 2 14 16
Age 60 349 296 12 0 23 0 9 9 21
Age 61 368 332 5 0 14 0 4 13 21
Age 62 372 337 4 0 17 0 1 13 13
Age 63 340 293 3 0 22 0 9 13 17
Age 64 307 277 2 0 12 0 7 9 14
Age 65 311 276 6 0 15 0 4 10 18
Age 66 274 242 7 0 15 0 3 7 13
Age 67 303 269 7 0 17 0 2 8 13
Age 68 234 211 3 0 14 0 0 6 15
Age 69 238 218 5 0 7 0 3 5 4
Age 70 217 193 1 0 12 0 2 9 10
Age 71 225 204 4 0 12 0 0 5 7
Age 72 207 186 7 0 5 0 3 6 6
Age 73 188 178 2 0 3 0 0 5 6
Age 74 200 179 5 1 6 0 2 7 7
Age 75 177 158 3 0 9 0 0 7 2
Age 76 165 151 3 0 6 0 1 4 4
Age 77 180 166 2 0 7 0 1 4 4
Age 78 165 154 4 0 2 0 1 4 4
Age 79 168 158 6 0 1 0 1 2 5
Age 80 164 156 1 0 3 0 0 4 3
Age 81 153 145 0 0 1 0 0 7 1
Age 82 165 160 0 0 5 0 0 0 2
Age 83 142 137 1 0 2 0 0 2 1
Age 84 148 139 0 0 3 0 1 5 4
Age 85 144 138 1 0 1 0 0 4 1
Age 86 119 112 1 1 2 0 2 1 3
Age 87 114 106 2 0 2 0 0 4 2
Age 88 99 94 0 0 2 0 1 2 2
Age 89 78 74 1 0 2 0 0 1 1
Age 90 65 62 1 0 1 0 0 1 0
Age 91 55 53 0 0 0 0 0 2 1
Age 92 55 52 0 0 2 0 0 1 0
Age 93 54 51 1 0 0 0 1 1 2
Age 94 37 37 0 0 0 0 0 0 1
Age 95 26 26 0 0 0 0 0 0 1
Age 96 18 15 0 0 1 0 0 2 1
Age 97 13 13 0 0 0 0 0 0 0
Age 98 14 14 0 0 0 0 0 0 0
Age 99 9 9 0 0 0 0 0 0 0
Age 100-104 12 12 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: 90210
AgeTotalWhite
alone		Black
alone		AIAN /1
alone		Asian
alone		NHOPI /2
alone		Other race
alone		Two or
more races		Hispanic
any race
Total population 21,741 18,845 378 19 1,261 9 277 952 1,092
Age 0-4 520 445 6 1 23 0 8 37 34
Age 5-9 1,135 976 11 3 54 0 6 85 53
Age 10-14 1,239 1,073 14 0 71 0 10 71 49
Age 15-19 1,401 1,199 18 1 93 0 13 77 69
Age 20-24 968 820 15 1 54 2 16 60 52
Age 25-29 975 819 25 2 58 2 19 50 58
Age 30-34 919 766 21 1 66 2 18 45 65
Age 35-39 957 773 22 2 95 1 18 46 69
Age 40-44 1,380 1,135 39 2 116 1 29 58 102
Age 45-49 1,546 1,295 36 1 131 0 19 64 86
Age 50-54 1,704 1,431 28 0 127 0 32 86 92
Age 55-59 1,692 1,484 34 2 88 0 23 61 98
Age 60-64 1,721 1,510 30 1 93 1 22 64 90
Age 65-69 1,535 1,357 25 0 81 0 25 47 75
Age 70-74 1,121 1,012 20 0 50 0 8 31 42
Age 75-79 910 832 15 1 31 0 4 27 23
Age 80-84 815 773 11 0 12 0 2 17 15
Age 85 up 1,203 1,145 8 1 18 0 5 26 20

  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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