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ZIP Code Area 20850 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 20850 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 20850

  View developed with CV XE GIS.

ZIP Code 20850 is located in Montgomery County, MD (24031).

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: 20850 -- 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 46,340 27,269 4,887 117 10,944 18 1,433 1,672 4,749
Age 0 540 277 67 1 123 0 17 55 86
Age 1 557 280 64 2 141 0 16 54 81
Age 2 550 266 66 1 151 0 19 47 86
Age 3 553 273 53 3 141 0 21 62 75
Age 4 590 312 62 1 149 0 16 50 77
Age 5 576 274 78 2 167 1 23 31 67
Age 6 607 323 65 4 153 0 14 48 73
Age 7 577 277 65 1 160 0 22 52 75
Age 8 599 303 60 3 162 0 23 48 74
Age 9 605 308 69 1 172 0 17 38 70
Age 10 582 296 71 2 135 0 28 50 87
Age 11 547 291 66 2 141 0 14 33 64
Age 12 564 276 83 2 141 0 24 38 68
Age 13 566 283 65 1 152 0 27 38 77
Age 14 577 298 69 1 149 0 16 44 68
Age 15 589 310 85 1 130 0 31 32 82
Age 16 568 288 86 3 141 1 22 27 77
Age 17 614 309 90 0 157 0 28 30 74
Age 18 450 230 88 2 71 0 25 34 89
Age 19 324 140 56 1 78 0 29 20 46
Age 20 357 173 67 1 75 0 25 16 57
Age 21 377 187 71 3 73 0 26 17 78
Age 22 476 256 65 3 101 0 24 27 79
Age 23 577 348 68 2 110 0 31 18 80
Age 24 608 390 79 1 90 0 30 18 90
Age 25 640 380 82 2 129 0 26 21 66
Age 26 653 396 73 1 136 0 28 19 68
Age 27 661 378 86 1 142 0 35 19 90
Age 28 674 362 101 1 154 1 31 24 91
Age 29 690 403 83 1 153 0 29 21 78
Age 30 690 375 89 3 169 0 31 23 84
Age 31 652 362 69 2 167 0 29 23 83
Age 32 664 357 79 2 170 0 33 23 88
Age 33 708 365 91 2 196 1 26 27 75
Age 34 685 345 85 4 203 1 28 19 81
Age 35 648 344 73 1 200 0 12 18 67
Age 36 669 343 83 1 202 0 22 18 79
Age 37 683 372 67 2 201 0 24 17 83
Age 38 717 386 71 3 217 0 27 13 82
Age 39 772 411 97 1 219 0 20 24 81
Age 40 775 422 79 2 230 1 22 19 66
Age 41 757 389 71 2 244 0 31 20 74
Age 42 711 407 76 0 184 0 22 22 84
Age 43 742 415 86 1 189 1 31 19 105
Age 44 684 373 80 2 182 0 26 21 77
Age 45 806 444 86 2 223 1 33 17 80
Age 46 791 440 78 3 236 1 16 17 87
Age 47 773 432 70 3 223 1 23 21 63
Age 48 763 488 60 1 177 0 15 22 69
Age 49 761 467 78 2 163 1 30 20 87
Age 50 739 460 77 0 165 0 24 13 76
Age 51 733 467 63 1 179 0 14 9 50
Age 52 683 434 58 3 154 1 21 12 59
Age 53 652 394 54 2 176 0 13 13 42
Age 54 616 402 54 2 136 2 7 13 36
Age 55 593 363 55 4 145 1 13 12 44
Age 56 562 386 47 0 109 0 10 10 34
Age 57 601 405 39 2 138 1 6 10 30
Age 58 564 403 35 0 108 0 12 6 34
Age 59 520 359 46 2 100 1 6 6 38
Age 60 530 349 47 0 119 0 9 6 39
Age 61 518 344 41 1 114 0 8 10 33
Age 62 523 384 40 0 86 0 7 6 33
Age 63 501 363 31 2 97 0 4 4 22
Age 64 433 296 35 2 84 0 8 8 25
Age 65 389 285 32 0 59 0 1 12 17
Age 66 390 255 34 0 89 0 3 9 23
Age 67 369 267 18 1 75 0 1 7 19
Age 68 327 227 20 2 69 0 4 5 23
Age 69 295 196 25 0 66 0 6 2 17
Age 70 274 173 20 0 70 0 6 5 23
Age 71 242 169 20 0 51 0 0 2 10
Age 72 286 189 18 1 70 0 4 4 13
Age 73 262 190 19 0 47 0 4 2 15
Age 74 257 184 18 0 51 0 1 3 6
Age 75 251 189 13 0 41 0 2 6 6
Age 76 220 162 15 0 38 1 1 3 10
Age 77 207 143 18 1 38 0 2 5 10
Age 78 212 154 9 2 42 0 2 3 5
Age 79 206 158 10 0 32 0 3 3 15
Age 80 210 166 9 0 30 0 2 3 13
Age 81 197 150 12 0 33 0 2 0 6
Age 82 174 147 7 0 15 0 2 3 9
Age 83 192 148 15 0 27 0 0 2 3
Age 84 175 139 15 0 18 0 0 3 9
Age 85 177 138 13 0 23 0 0 3 6
Age 86 155 132 7 0 14 0 1 1 3
Age 87 144 119 7 0 12 0 1 5 3
Age 88 148 124 12 0 8 0 2 2 3
Age 89 102 88 4 0 10 0 0 0 2
Age 90 91 74 8 0 7 0 0 2 2
Age 91 60 53 0 0 6 0 0 1 5
Age 92 53 42 5 0 4 0 1 1 2
Age 93 50 40 4 0 5 0 1 0 2
Age 94 35 28 5 0 2 0 0 0 1
Age 95 40 36 0 0 3 0 1 0 3
Age 96 21 19 0 0 1 0 0 1 1
Age 97 25 19 0 0 5 0 0 1 0
Age 98 13 13 0 0 0 0 0 0 0
Age 99 9 7 2 0 0 0 0 0 0
Age 100-104 15 13 0 0 1 0 0 1 1
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: 20850
AgeTotalWhite
alone		Black
alone		AIAN /1
alone		Asian
alone		NHOPI /2
alone		Other race
alone		Two or
more races		Hispanic
any race
Total population 46,340 27,269 4,887 117 10,944 18 1,433 1,672 4,749
Age 0-4 1,647 823 197 4 415 0 52 156 253
Age 5-9 2,903 1,459 323 11 770 1 96 243 367
Age 10-14 2,897 1,474 349 10 751 0 106 207 363
Age 15-19 2,914 1,488 395 6 729 1 124 171 378
Age 20-24 1,984 986 347 10 398 0 129 114 349
Age 25-29 3,139 1,892 388 7 607 0 150 95 394
Age 30-34 3,370 1,859 421 9 813 1 153 114 424
Age 35-39 3,393 1,769 399 10 1,002 2 112 99 385
Age 40-44 3,732 2,015 394 8 1,094 1 122 98 387
Age 45-49 3,796 2,104 400 11 1,053 4 129 95 412
Age 50-54 3,679 2,316 336 7 838 2 104 76 341
Age 55-59 3,024 1,950 249 10 704 4 49 58 186
Age 60-64 2,655 1,839 209 3 527 1 42 34 177
Age 65-69 2,082 1,466 150 5 404 0 17 40 106
Age 70-74 1,424 954 103 3 326 0 20 18 86
Age 75-79 1,197 868 83 1 215 1 10 19 47
Age 80-84 999 775 47 2 152 0 11 12 48
Age 85 up 1,505 1,232 97 0 146 0 7 23 46

  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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