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Single Year of Age Demographics

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Single year of age (SYOA) demographics are single year of age population (e.g., age 1, age 2, etc.) data summarized for a geographic area such as a county, census tract or ZIP code area. This section is part one of three sections and is focused on tools and methods to access, integrate and analyze SYOA data. The second part is focused on integrating these data with other data and use of GIS and geospatial analysis. The third part reviews how these data are used to develop projections and access to/use of projections.

Atlanta Metro; Population Age 0 per 1,000 Population by ZIP Code Area

  Crude birth rate approximation: population age 0 relative to 1,000 population (2010)
  Darker green: rate 16 or more; medium green: rate 12-16; light green: less than 12
  Click graphic for larger view, zoom-in, labeled with ZIP codes and rate.
  View developed with CV XE GIS.
ZIP Code Area Detailed Age-Race/Origin Profiles
View illustrative ZIP Code area SYOA demographic profiles: (scroll section)
  • 10021 New York County, NY
  • 11222 Kings County/Brooklyn, NY
  • 20850 Montgomery County, MD
  • 22305 Alexandria, VA
  • 28212 Mecklenburg County, NC
  • 33426 Palm Beach County, FL
  • 48214 Wayne County, MI
  • 50125 Warren County, IA
  • 53705 Dane County, WI
  • 60647 Cook County, IL
  • 64112 Jackson County, MO
  • 64772 Vernon County, MO
  • 66749 Allen County, KS
  • 67214 Sedgwick County, KS
  • 72712 Benton County, AR
  • 75205 Dallas County, TX
  • 77077 Harris County, TX
  • 77375 Harris County, TX
  • 78207 Bexar County, TX
  • 80909 El Paso County, CO
  • 84115 Salt Lake County, UT
  • 85258 Maricopa County, AZ
  • 87501 Santa Fe County, NM
  • 89104 Clark County, NV
  • 90210 Los Angeles County, CA
  • 92037 San Diego County, CA
  • 90210 Los Angeles County, CA
  • 96815 Honolulu County, HI
  • 97201 Multnomah County, OR
  • 98007 King County, WA

Using SYOA Demographics
Except for possibly the single year of age 0, less than one year of age, single year of age demographics are intrinsically not in high demand. The fact that the single year of age demographics can be aggregated to standardized age cohorts and custom age groups is another matter entirely. Analysts and researchers often need current estimates or projections for age-gender-race/origin groups that are not available from pre-planned tabulations.

Uses of these SYOA data include the basics of understanding the size of a specific age group relative to the total population. Or, how the size of a total population age group compares among genders or a specific race/origin. 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. What single year of age data are available and how can they be used to meet these needs?

SYOA Data Options
The only Census Bureau-sourced option for SYOA county or sub-county geography data from Census 2010 forward is Census 2010. Age-related data from the American Community Survey (ACS) exist only for age groups (other than a few selected single year tabulations). Age-related data from the Census Bureau model-based annual estimates (county-up) are only available at the 5-year age cohort level. Most SYOA data (covering each age to age 99 and 100 and over) are further broken out only by gender and race/origin. That is, there are no SYOA summary data for other attributes such as foreign born for each/all ages. Census 2010 and ACS Public Use Microdata Sample data can be used to tabulate/estimate SYOA data with extended attributes though 1) such estimates can only be developed for areas 100,000 population or more and 2) the thinness of number of cases generally makes this infeasible.

The National Center for Health Statistics (NCHS/NVSS) provides SYOA data for county geography. These data are controlled to Census Bureau annual model-based estimates (not released by Census). The NCHS "bridge estimates" data are available annually 2010 forward (2013 estimates available as of March 2015). See more information.

ProximityOne provides census tract, ZIP code area and county-up geography SYOA estimates and projections to 2020. See more information about 5-year projections and projections to 2060.

Census 2010 SYOA
The Census-sourced single year of age demographics for sub-county areas are 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.

SYOA-based profiles based on the PCT012 data for ZIP Code area 77077 (Houston, TX) are shown below. The tables have been developed using the ProximityOne Modeler2 software (more below).

Table 1. Single Year of Age by Race/Origin; 2010; ZIP Code Area: 77070 -- 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 46,017 31,034 5,648 302 4,154 36 3,484 1,359 10,760
Age 0 678 369 97 4 79 0 81 48 221
Age 1 711 392 105 8 72 1 75 58 250
Age 2 670 403 68 3 88 0 69 39 218
Age 3 708 384 114 10 81 0 69 50 238
Age 4 669 364 111 6 82 1 65 40 214
Age 5 630 361 97 5 71 0 59 37 204
Age 6 661 383 93 7 61 0 71 46 229
Age 7 595 342 96 2 64 0 52 39 190
Age 8 592 354 92 1 50 0 64 31 199
Age 9 632 347 115 7 55 0 70 38 215
Age 10 647 396 98 8 54 1 52 38 190
Age 11 572 349 87 4 45 0 58 29 179
Age 12 597 380 78 5 43 1 62 28 215
Age 13 608 373 102 7 47 0 49 30 181
Age 14 620 376 102 3 42 0 68 29 196
Age 15 606 360 105 4 46 1 65 25 189
Age 16 640 404 100 4 40 1 63 28 192
Age 17 639 419 95 6 47 1 46 25 172
Age 18 588 373 84 4 42 0 57 28 179
Age 19 522 344 64 6 43 1 53 11 162
Age 20 512 310 82 4 42 0 60 14 164
Age 21 578 333 108 5 48 1 69 14 169
Age 22 651 390 105 11 47 1 81 16 211
Age 23 691 452 98 1 40 1 85 14 204
Age 24 774 476 110 5 68 0 91 24 208
Age 25 792 476 134 7 68 4 71 32 201
Age 26 834 480 134 5 122 0 80 13 205
Age 27 807 482 126 3 98 0 78 20 208
Age 28 815 461 113 1 134 0 87 19 211
Age 29 805 468 145 8 93 1 76 14 195
Age 30 791 436 123 6 100 2 100 24 226
Age 31 738 429 95 9 125 1 59 20 189
Age 32 692 418 105 4 73 0 73 19 184
Age 33 679 395 106 2 77 1 78 20 203
Age 34 724 445 86 4 95 0 73 21 211
Age 35 696 427 94 3 94 0 63 15 179
Age 36 662 366 101 5 105 0 71 14 178
Age 37 658 390 75 6 95 0 70 22 195
Age 38 700 432 96 4 91 1 52 24 176
Age 39 791 507 116 7 88 1 58 14 194
Age 40 708 462 84 3 86 0 51 22 167
Age 41 649 435 70 4 78 0 50 12 169
Age 42 596 403 65 3 60 0 54 11 161
Age 43 594 404 65 5 61 0 49 10 136
Age 44 623 441 76 6 49 0 38 13 139
Age 45 626 448 67 10 42 3 40 16 128
Age 46 720 531 78 2 48 4 43 14 152
Age 47 654 477 61 5 56 0 38 17 117
Age 48 639 458 88 4 43 0 31 15 119
Age 49 631 470 72 2 45 0 29 13 118
Age 50 663 481 72 2 60 0 32 16 105
Age 51 687 517 76 2 51 2 30 9 99
Age 52 680 526 64 2 51 0 30 7 96
Age 53 618 473 57 5 42 0 30 11 93
Age 54 674 539 68 1 41 0 20 5 78
Age 55 622 498 33 5 48 0 26 12 83
Age 56 628 500 56 6 41 1 21 3 81
Age 57 575 483 32 5 32 0 15 8 67
Age 58 524 424 51 3 22 0 19 5 67
Age 59 512 420 35 0 35 0 14 8 59
Age 60 462 383 35 1 29 0 10 4 52
Age 61 473 390 32 4 32 0 9 6 58
Age 62 435 369 26 2 26 0 7 5 43
Age 63 477 414 19 4 23 2 9 6 51
Age 64 339 291 23 2 13 0 7 3 36
Age 65 338 295 18 2 17 2 2 2 26
Age 66 362 321 16 0 18 0 3 4 23
Age 67 301 268 15 0 13 0 2 3 22
Age 68 260 228 9 0 14 0 5 4 20
Age 69 251 225 11 0 10 0 4 1 29
Age 70 204 175 11 0 14 0 1 3 14
Age 71 194 169 9 1 7 0 7 1 22
Age 72 164 143 6 2 9 0 3 1 16
Age 73 180 144 11 2 13 0 9 1 27
Age 74 151 133 9 1 7 0 1 0 12
Age 75 161 145 8 0 3 0 3 2 19
Age 76 148 130 8 1 6 0 2 1 5
Age 77 147 131 9 0 5 0 2 0 17
Age 78 126 113 5 0 6 0 1 1 13
Age 79 113 97 4 0 8 0 3 1 7
Age 80 121 110 3 0 4 0 3 1 14
Age 81 105 99 5 0 0 0 0 1 5
Age 82 103 89 2 1 10 0 0 1 7
Age 83 111 100 4 0 4 0 2 1 10
Age 84 108 93 7 0 2 0 1 5 8
Age 85 82 73 3 0 4 0 1 1 5
Age 86 97 93 0 0 3 0 1 0 5
Age 87 82 76 3 0 2 0 1 0 5
Age 88 66 63 1 0 1 0 1 0 3
Age 89 61 58 1 0 2 0 0 0 3
Age 90 46 42 2 0 1 0 1 0 2
Age 91 38 35 1 0 1 0 0 1 1
Age 92 31 30 1 0 0 0 0 0 1
Age 93 19 16 1 0 1 0 0 1 0
Age 94 21 19 2 0 0 0 0 0 0
Age 95 15 14 1 0 0 0 0 0 1
Age 96 11 11 0 0 0 0 0 0 0
Age 97 3 2 0 0 0 0 0 1 0
Age 98 5 5 0 0 0 0 0 0 0
Age 99 3 3 0 0 0 0 0 0 0
Age 100-104 4 3 1 0 0 0 0 0 0
Age 105-110 1 0 1 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
  Source: ProximityOne -- http://proximityone.com/syoa.htm; based on Census 2010 Summary File 1

Table 2. Age by Race/Origin; Age Groups; 2010; ZIP Code Area: 77070
AgeTotalWhite
alone		Black
alone		AIAN /1
alone		Asian
alone		NHOPI /2
alone		Other race
alone		Two or
more races		Hispanic
any race
Total population 46,017 31,034 5,648 302 4,154 36 3,484 1,359 10,760
Age 0-4 2,059 1,164 270 15 239 1 225 145 689
Age 5-9 3,263 1,834 511 30 359 1 316 212 1,075
Age 10-14 3,040 1,826 470 25 247 2 306 164 998
Age 15-19 3,113 1,932 504 24 222 3 291 137 930
Age 20-24 2,851 1,750 443 30 222 3 320 83 885
Age 25-29 3,898 2,366 602 21 396 5 405 103 1,026
Age 30-34 3,841 2,212 581 28 525 4 395 96 1,005
Age 35-39 3,419 2,023 462 20 466 1 355 92 966
Age 40-44 3,444 2,239 431 21 403 2 265 83 867
Age 45-49 3,217 2,301 347 28 256 7 208 70 672
Age 50-54 3,300 2,452 372 12 250 2 152 60 537
Age 55-59 3,117 2,493 246 22 204 1 112 39 402
Age 60-64 2,406 1,986 179 10 144 0 59 28 279
Age 65-69 1,817 1,589 91 8 84 4 23 18 158
Age 70-74 1,073 940 46 3 54 0 20 10 101
Age 75-79 787 683 45 4 34 0 17 4 80
Age 80-84 568 508 19 1 28 0 7 5 46
Age 85 up 804 736 29 0 21 0 8 10 44
  1/ AIAN: American Indian/Alaska Native
  2/ NHOPI: Native Hawaiian/Other Pacific Islander
  Source: ProximityOne -- http://proximityone.com/syoa.htm; based on Census 2010 Summary File 1

Modeler2 Software
The Modeler2 software has been developed by ProximityOne 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.

The Modeler2 software can also be used to develop Census 2010-based SYOA profiles such as those shown above. While the Census 2010 PCT012 tables provide the basic data needed to develop these profiles, there is a lot that lies between the data existing and the development/availability of consumable data. As shown in the description of the PCT012 tables, the data are organized in Census 2010 SF1 as a set of tables that need to be separately accessed ... and then transformed to a usable format. The Modeler2 software provides two options to access and use the basic PCT012 data: via a locally stored all U.S. dataset or via the Census API (a feature integrated into the Modeler2 software).

Members of the ProximityOne User Group can download and use Modeler2 Level 1 and create SYOA profiles for any county in the U.S. See the User Group section for more information about installation and use.

Support Using these Resources
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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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