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ZIP Code Area 53705 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 53705 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 53705

  View developed with CV XE GIS.

ZIP Code 53705 is located in Dane County, WI (55025).

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: 53705 -- 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 23,494 18,180 686 89 3,642 3 237 657 988
Age 0 292 183 13 1 68 0 2 25 25
Age 1 273 170 14 1 68 0 5 15 14
Age 2 273 157 15 0 71 0 5 25 19
Age 3 239 148 11 0 48 0 10 22 31
Age 4 229 146 15 3 41 0 3 21 20
Age 5 225 140 15 0 48 0 4 18 11
Age 6 256 159 15 2 52 0 2 26 24
Age 7 224 149 14 3 37 0 2 19 14
Age 8 231 158 12 3 34 0 4 20 17
Age 9 187 140 4 1 32 0 3 7 15
Age 10 232 163 17 1 39 0 1 11 15
Age 11 204 148 7 3 23 0 5 18 22
Age 12 196 140 13 2 26 0 4 11 15
Age 13 211 158 12 2 24 0 1 14 8
Age 14 200 154 10 4 14 0 4 14 13
Age 15 214 160 11 1 27 0 5 10 19
Age 16 206 157 13 3 18 0 2 13 19
Age 17 191 141 10 0 25 0 4 11 18
Age 18 163 131 7 1 16 0 2 6 9
Age 19 85 55 4 0 22 0 0 4 5
Age 20 130 72 6 0 43 0 2 7 8
Age 21 152 93 10 3 34 0 4 8 14
Age 22 279 186 7 5 66 0 4 11 15
Age 23 534 394 14 2 103 1 4 16 24
Age 24 596 420 14 4 134 0 7 17 30
Age 25 638 443 22 4 148 0 4 17 21
Age 26 622 417 14 0 169 1 7 14 27
Age 27 586 367 16 2 180 0 8 13 18
Age 28 530 325 18 2 160 0 9 16 24
Age 29 537 336 16 0 164 0 8 13 20
Age 30 464 304 12 3 127 0 8 10 29
Age 31 420 248 17 0 130 0 10 15 27
Age 32 403 234 14 0 135 0 6 14 22
Age 33 378 224 10 3 125 0 4 12 17
Age 34 371 228 9 0 116 0 8 10 17
Age 35 332 204 10 2 105 0 7 4 23
Age 36 320 205 7 1 95 0 5 7 21
Age 37 275 168 13 2 79 0 9 4 19
Age 38 266 169 12 2 72 0 4 7 24
Age 39 276 194 12 0 59 0 3 8 14
Age 40 288 219 12 2 43 0 4 8 15
Age 41 281 216 10 0 43 0 4 8 9
Age 42 244 196 7 0 35 0 1 5 5
Age 43 273 232 2 1 30 1 2 5 10
Age 44 254 212 7 1 26 0 3 5 11
Age 45 282 232 7 1 35 0 3 4 14
Age 46 249 205 9 1 26 0 3 5 7
Age 47 264 214 4 1 34 0 2 9 14
Age 48 273 230 11 2 20 0 4 6 15
Age 49 288 242 8 1 28 0 4 5 8
Age 50 323 289 9 0 18 0 2 5 9
Age 51 278 254 7 0 11 0 4 2 6
Age 52 287 241 13 3 20 0 1 9 9
Age 53 259 226 9 1 18 0 2 3 6
Age 54 298 279 4 0 11 0 2 2 7
Age 55 332 302 7 0 21 0 2 0 9
Age 56 304 275 6 0 16 0 0 7 8
Age 57 339 316 5 2 14 0 0 2 6
Age 58 342 325 4 1 8 0 0 4 9
Age 59 348 333 6 0 6 0 0 3 4
Age 60 303 276 5 2 15 0 1 4 5
Age 61 277 253 2 0 17 0 1 4 5
Age 62 296 279 4 0 13 0 0 0 1
Age 63 293 268 7 2 12 0 0 4 3
Age 64 226 216 2 0 6 0 0 2 6
Age 65 200 187 2 0 10 0 0 1 2
Age 66 207 193 3 0 10 0 0 1 3
Age 67 200 190 2 0 8 0 0 0 4
Age 68 185 166 2 1 15 0 0 1 5
Age 69 157 149 2 0 4 0 0 2 1
Age 70 152 142 1 1 6 0 0 2 3
Age 71 152 132 6 0 14 0 0 0 5
Age 72 117 107 0 0 10 0 0 0 0
Age 73 134 128 1 0 5 0 0 0 1
Age 74 132 124 0 0 7 0 0 1 2
Age 75 121 110 3 0 7 0 1 0 1
Age 76 127 119 3 0 5 0 0 0 1
Age 77 128 123 1 0 4 0 0 0 1
Age 78 120 114 0 0 6 0 0 0 0
Age 79 147 144 1 0 2 0 0 0 1
Age 80 129 124 0 0 5 0 0 0 0
Age 81 132 126 1 0 2 0 2 1 3
Age 82 139 137 0 0 2 0 0 0 1
Age 83 131 126 1 0 4 0 0 0 1
Age 84 130 129 0 0 1 0 0 0 0
Age 85 125 120 3 0 2 0 0 0 2
Age 86 110 106 0 0 4 0 0 0 1
Age 87 114 112 0 0 1 0 0 1 0
Age 88 106 104 0 0 1 0 0 1 0
Age 89 116 113 0 0 2 0 0 1 1
Age 90 74 72 1 0 1 0 0 0 0
Age 91 60 59 1 0 0 0 0 0 1
Age 92 52 52 0 0 0 0 0 0 0
Age 93 47 46 0 0 1 0 0 0 0
Age 94 27 26 0 0 0 0 0 1 0
Age 95 23 23 0 0 0 0 0 0 0
Age 96 21 21 0 0 0 0 0 0 0
Age 97 16 16 0 0 0 0 0 0 0
Age 98 11 11 0 0 0 0 0 0 0
Age 99 4 4 0 0 0 0 0 0 0
Age 100-104 7 7 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: 53705
AgeTotalWhite
alone		Black
alone		AIAN /1
alone		Asian
alone		NHOPI /2
alone		Other race
alone		Two or
more races		Hispanic
any race
Total population 23,494 18,180 686 89 3,642 3 237 657 988
Age 0-4 838 510 42 2 207 0 12 65 58
Age 5-9 1,173 742 70 8 226 0 21 106 100
Age 10-14 1,050 749 53 10 154 0 17 67 84
Age 15-19 1,022 770 56 10 108 0 16 62 77
Age 20-24 809 537 34 9 181 0 12 36 51
Age 25-29 2,976 2,041 80 12 734 2 30 77 120
Age 30-34 2,354 1,447 77 5 716 0 41 68 122
Age 35-39 1,676 1,029 49 8 520 0 33 37 97
Age 40-44 1,355 994 53 4 252 0 16 36 67
Age 45-49 1,322 1,095 29 5 151 1 13 28 56
Age 50-54 1,449 1,256 48 6 97 0 15 27 47
Age 55-59 1,532 1,398 31 3 80 0 6 14 36
Age 60-64 1,566 1,466 21 3 59 0 2 15 24
Age 65-69 1,126 1,054 16 2 46 0 0 8 18
Age 70-74 763 696 11 2 49 0 0 5 14
Age 75-79 642 604 8 0 28 0 1 1 6
Age 80-84 667 645 2 0 17 0 2 1 5
Age 85 up 1,174 1,147 6 0 17 0 0 4 6

  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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