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ZIP Code Area 22305 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
with tax parcels & streets

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high school attendance zones
with schools by type

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%high school graduates by
census tract - Puerto Rico

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Austin, TX MSA counties &
places 10K+ population markers

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Appalachia counties (green) &
coalfield counties (orange)

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China provinces percent urban &
cities (markers) by state plan

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Honolulu census tracts (red)
& census blocks


Central Park area NYC

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Kansas City Metro & Counties
Home Depot locations (markers)

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World Cities; focus on Spain

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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 22305 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 22305

  View developed with CV XE GIS.

ZIP Code 22305 is located in Alexandria city, VA (51510).

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: 22305 -- 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 15,440 8,530 2,388 164 567 17 3,050 724 5,861
Age 0 284 164 31 0 5 0 61 23 123
Age 1 284 169 21 3 6 0 68 17 127
Age 2 245 143 15 3 0 0 63 21 127
Age 3 236 128 25 1 3 0 60 19 123
Age 4 235 130 23 5 3 0 61 13 123
Age 5 186 87 30 1 5 0 43 20 80
Age 6 214 114 33 5 9 0 41 12 97
Age 7 179 86 23 2 3 0 49 16 93
Age 8 137 63 23 1 4 0 37 9 69
Age 9 147 85 17 1 2 0 38 4 75
Age 10 135 54 21 0 7 0 42 11 69
Age 11 133 61 28 0 4 0 34 6 51
Age 12 123 61 23 1 1 0 30 7 56
Age 13 118 41 25 2 5 0 37 8 60
Age 14 113 47 25 1 4 0 25 11 43
Age 15 99 42 24 0 2 0 26 5 47
Age 16 121 46 32 1 3 0 36 3 57
Age 17 111 48 32 1 4 0 18 8 43
Age 18 149 54 25 3 4 0 55 8 90
Age 19 118 49 21 1 4 2 35 6 74
Age 20 127 40 27 1 3 0 52 4 84
Age 21 165 58 28 2 7 0 57 13 104
Age 22 218 96 36 1 6 2 66 11 116
Age 23 290 144 42 4 12 0 72 16 129
Age 24 340 176 57 4 16 0 68 19 131
Age 25 354 193 47 6 17 0 80 11 162
Age 26 378 206 49 6 20 1 84 12 160
Age 27 436 273 45 3 17 0 79 19 174
Age 28 412 255 41 2 14 0 82 18 163
Age 29 441 237 51 5 27 1 98 22 168
Age 30 449 272 37 7 12 1 106 14 183
Age 31 408 241 39 6 17 1 83 21 164
Age 32 406 230 50 9 15 0 84 18 164
Age 33 384 225 38 4 15 0 86 16 167
Age 34 328 194 25 5 19 0 72 13 126
Age 35 343 188 28 3 21 1 81 21 147
Age 36 302 173 35 5 16 0 57 16 120
Age 37 348 197 47 8 18 0 58 20 125
Age 38 287 159 36 3 18 0 60 11 105
Age 39 290 170 30 4 3 0 70 13 125
Age 40 320 187 43 2 15 0 64 9 117
Age 41 261 145 40 1 5 1 55 14 97
Age 42 244 146 18 1 11 1 58 9 109
Age 43 229 124 37 5 14 0 36 13 76
Age 44 225 115 37 1 5 1 55 11 87
Age 45 230 124 36 2 14 1 41 12 85
Age 46 224 113 46 8 8 0 40 9 76
Age 47 196 107 29 1 9 2 42 6 75
Age 48 215 127 38 4 8 0 27 11 67
Age 49 186 107 39 1 8 0 26 5 48
Age 50 220 124 49 0 8 0 32 7 55
Age 51 171 100 34 2 3 0 22 10 55
Age 52 162 101 34 0 4 0 14 9 42
Age 53 143 74 36 0 4 0 22 7 39
Age 54 171 94 47 0 4 0 22 4 36
Age 55 149 87 35 3 4 0 16 4 38
Age 56 158 104 36 1 2 0 11 4 24
Age 57 136 77 33 2 9 0 11 4 34
Age 58 152 93 39 0 1 0 16 3 30
Age 59 139 90 27 0 11 0 9 2 27
Age 60 124 76 33 0 8 0 5 2 17
Age 61 143 89 32 1 5 0 10 6 26
Age 62 122 83 25 0 3 0 7 4 17
Age 63 102 65 24 0 1 0 9 3 16
Age 64 78 46 19 1 1 0 9 2 15
Age 65 95 62 17 2 3 0 6 5 21
Age 66 91 59 21 0 2 0 5 4 15
Age 67 70 42 16 3 3 1 5 0 9
Age 68 68 40 23 2 1 0 2 0 7
Age 69 47 26 15 0 3 0 3 0 5
Age 70 46 25 13 0 4 0 1 3 3
Age 71 45 28 9 0 2 0 4 2 7
Age 72 43 20 18 0 3 1 0 1 4
Age 73 39 21 13 0 2 0 3 0 4
Age 74 26 13 12 1 0 0 0 0 4
Age 75 36 20 13 0 0 0 2 1 5
Age 76 19 13 5 0 0 0 1 0 1
Age 77 18 9 8 0 1 0 0 0 2
Age 78 28 14 10 0 2 0 1 1 4
Age 79 17 11 5 0 0 0 0 1 1
Age 80 24 15 7 0 2 0 0 0 2
Age 81 17 10 7 0 0 0 0 0 1
Age 82 16 10 2 0 3 0 1 0 2
Age 83 18 12 6 0 0 0 0 0 1
Age 84 21 17 4 0 0 0 0 0 1
Age 85 9 7 2 0 0 0 0 0 1
Age 86 11 10 1 0 0 0 0 0 1
Age 87 15 11 4 0 0 0 0 0 3
Age 88 10 8 0 0 0 0 2 0 3
Age 89 8 5 3 0 0 0 0 0 1
Age 90 4 4 0 0 0 0 0 0 0
Age 91 9 8 1 0 0 0 0 0 0
Age 92 4 3 1 0 0 0 0 0 0
Age 93 5 5 0 0 0 0 0 0 0
Age 94 2 2 0 0 0 0 0 0 0
Age 95 2 1 1 0 0 0 0 0 0
Age 96 1 1 0 0 0 0 0 0 0
Age 97 1 1 0 0 0 0 0 0 0
Age 98 2 0 0 0 0 0 1 1 1
Age 99 0 0 0 0 0 0 0 0 0
Age 100-104 0 0 0 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: 22305
AgeTotalWhite
alone
Black
alone
AIAN /1
alone
Asian
alone
NHOPI /2
alone
Other race
alone
Two or
more races
Hispanic
any race
Total population 15,440 8,530 2,388 164 567 17 3,050 724 5,861
Age 0-4 813 476 67 6 11 0 192 61 377
Age 5-9 1,050 545 134 14 23 0 254 80 516
Age 10-14 675 324 112 3 18 0 181 37 320
Age 15-19 562 224 138 5 18 0 142 35 250
Age 20-24 777 297 137 8 24 4 265 42 468
Age 25-29 1,798 992 240 23 82 1 383 77 756
Age 30-34 2,116 1,235 218 29 85 3 453 93 842
Age 35-39 1,705 977 173 25 89 1 354 86 685
Age 40-44 1,402 807 167 11 52 2 307 56 553
Age 45-49 1,104 583 185 17 50 4 214 51 399
Age 50-54 954 559 194 7 31 0 121 42 267
Age 55-59 757 436 187 6 23 0 82 23 171
Age 60-64 680 431 156 1 28 0 47 17 117
Age 65-69 436 274 97 6 10 1 34 14 76
Age 70-74 249 139 78 2 13 1 10 6 26
Age 75-79 138 76 51 1 3 0 6 1 16
Age 80-84 102 60 31 0 7 0 2 2 10
Age 85 up 122 95 23 0 0 0 3 1 12

  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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