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ZIP Code Area 33426 Detailed Age-Race/Origin Profile

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Visual analysis with ProximityOne tools
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visually analyze clients/markets
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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geocoded students and school
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%high school graduates by
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Austin, TX MSA counties &
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Appalachia counties (green) &
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China provinces percent urban &
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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 33426 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 33426

  View developed with CV XE GIS.

ZIP Code 33426 is located in Palm Beach County, FL (12099).

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: 33426 -- 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 20,082 14,699 3,845 52 518 11 498 459 2,600
Age 0 253 141 82 0 4 1 7 18 55
Age 1 253 137 68 0 16 0 8 24 42
Age 2 210 119 60 2 5 0 7 17 38
Age 3 233 115 84 2 6 0 10 16 45
Age 4 180 101 57 0 6 0 9 7 35
Age 5 199 97 74 1 3 0 10 14 42
Age 6 163 78 64 0 4 0 5 12 27
Age 7 181 90 64 0 12 0 7 8 34
Age 8 172 84 72 0 0 0 8 8 31
Age 9 158 79 62 1 6 0 5 5 31
Age 10 167 95 61 0 2 0 5 4 37
Age 11 151 76 59 0 7 0 2 7 20
Age 12 160 82 60 0 4 0 7 7 36
Age 13 162 84 65 0 4 0 4 5 26
Age 14 163 85 61 0 2 0 9 6 41
Age 15 142 71 56 0 2 0 7 6 28
Age 16 169 89 71 0 2 0 6 1 32
Age 17 170 100 51 1 8 0 8 2 40
Age 18 182 101 62 0 5 0 3 11 32
Age 19 194 113 61 2 3 0 8 7 37
Age 20 201 142 52 1 3 0 2 1 36
Age 21 214 133 68 1 3 0 7 2 36
Age 22 234 155 66 0 5 0 7 1 35
Age 23 277 184 61 1 9 0 13 9 36
Age 24 301 210 56 0 8 0 14 13 56
Age 25 333 223 76 0 13 0 8 13 48
Age 26 379 252 83 2 16 0 14 12 55
Age 27 390 270 88 3 6 1 14 8 55
Age 28 391 266 81 1 23 0 11 9 52
Age 29 348 233 79 2 12 0 11 11 45
Age 30 318 218 67 0 12 1 13 7 50
Age 31 332 217 69 3 18 2 12 11 59
Age 32 308 202 73 2 14 2 13 2 54
Age 33 270 179 59 1 12 0 8 11 38
Age 34 245 169 50 0 12 1 6 7 42
Age 35 292 188 69 1 12 0 13 9 57
Age 36 261 164 65 0 7 0 19 6 51
Age 37 278 170 73 0 11 0 12 12 51
Age 38 274 193 60 1 11 0 7 2 40
Age 39 307 218 58 1 12 0 10 8 47
Age 40 255 178 56 0 9 0 6 6 34
Age 41 256 187 48 1 9 1 9 1 38
Age 42 258 162 72 1 11 0 8 4 38
Age 43 254 159 75 0 10 1 5 4 30
Age 44 241 170 53 0 8 0 6 4 33
Age 45 261 199 46 1 4 0 8 3 41
Age 46 252 186 35 0 10 0 14 7 45
Age 47 269 204 52 1 4 0 6 2 38
Age 48 226 167 33 0 13 0 5 8 38
Age 49 292 210 56 1 13 0 8 4 24
Age 50 285 215 51 0 9 0 4 6 33
Age 51 255 196 35 1 10 0 8 5 45
Age 52 255 190 54 0 6 0 0 5 37
Age 53 273 210 44 2 8 0 3 6 36
Age 54 240 178 45 1 4 0 7 5 28
Age 55 234 185 34 1 9 0 3 2 32
Age 56 216 171 38 2 1 0 4 0 23
Age 57 201 155 37 0 6 0 1 2 20
Age 58 223 168 39 3 8 0 4 1 17
Age 59 191 149 31 0 6 0 3 2 17
Age 60 212 190 15 1 2 0 1 3 20
Age 61 193 170 13 1 3 0 3 3 20
Age 62 196 177 10 1 3 0 2 3 13
Age 63 246 208 31 1 2 0 1 3 16
Age 64 191 162 19 0 2 0 4 4 12
Age 65 168 147 16 0 3 0 1 1 11
Age 66 205 186 14 0 1 0 2 2 13
Age 67 191 182 8 0 0 0 0 1 12
Age 68 192 172 11 0 2 0 1 6 17
Age 69 189 177 6 0 1 0 3 2 15
Age 70 159 148 8 0 2 0 1 0 9
Age 71 179 157 15 1 1 0 3 2 17
Age 72 193 176 11 0 1 0 2 3 8
Age 73 159 152 6 0 1 0 0 0 8
Age 74 187 175 9 0 1 0 0 2 8
Age 75 160 148 8 0 2 0 1 1 14
Age 76 158 148 3 1 4 0 1 1 7
Age 77 147 136 8 0 1 0 2 0 13
Age 78 151 141 8 0 0 0 1 1 8
Age 79 185 175 10 0 0 0 0 0 6
Age 80 159 152 3 1 2 0 0 1 2
Age 81 175 173 2 0 0 0 0 0 8
Age 82 161 155 3 0 1 0 2 0 8
Age 83 165 159 3 0 2 0 1 0 2
Age 84 155 148 5 0 0 0 2 0 12
Age 85 156 153 1 0 1 0 1 0 4
Age 86 133 127 4 1 0 1 0 0 2
Age 87 124 119 4 0 0 0 0 1 0
Age 88 122 121 1 0 0 0 0 0 2
Age 89 90 87 1 0 0 0 0 2 5
Age 90 82 77 3 0 1 0 1 0 5
Age 91 75 74 1 0 0 0 0 0 2
Age 92 67 66 0 0 1 0 0 0 0
Age 93 43 43 0 0 0 0 0 0 0
Age 94 56 53 3 0 0 0 0 0 0
Age 95 27 27 0 0 0 0 0 0 0
Age 96 25 24 0 0 0 0 1 0 1
Age 97 17 16 0 0 0 0 0 1 1
Age 98 12 12 0 0 0 0 0 0 0
Age 99 10 10 0 0 0 0 0 0 0
Age 100-104 15 14 1 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: 33426
AgeTotalWhite
alone
Black
alone
AIAN /1
alone
Asian
alone
NHOPI /2
alone
Other race
alone
Two or
more races
Hispanic
any race
Total population 20,082 14,699 3,845 52 518 11 498 459 2,600
Age 0-4 716 397 210 2 25 1 22 59 135
Age 5-9 956 481 343 3 31 0 41 57 183
Age 10-14 808 416 314 1 19 0 27 31 155
Age 15-19 806 429 304 1 18 0 34 20 167
Age 20-24 1,025 644 309 4 19 0 27 22 176
Age 25-29 1,680 1,139 364 6 52 1 63 55 250
Age 30-34 1,697 1,136 369 8 79 5 60 40 260
Age 35-39 1,346 870 316 2 54 1 58 45 239
Age 40-44 1,350 938 294 4 52 1 40 21 197
Age 45-49 1,277 918 261 2 36 1 39 20 187
Age 50-54 1,313 978 229 2 51 0 25 28 177
Age 55-59 1,164 899 198 6 28 0 18 15 139
Age 60-64 1,015 854 108 6 22 0 13 12 87
Age 65-69 1,001 885 88 1 8 0 8 11 64
Age 70-74 912 830 51 1 7 0 10 13 66
Age 75-79 811 759 34 1 9 0 4 4 50
Age 80-84 831 796 26 1 3 0 3 2 32
Age 85 up 1,374 1,330 27 1 5 1 6 4 36

  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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