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Demographic Projections
2010-2060
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Columbia, SC Metro Demographic Trends 2010-2060
... examining demographic estimates & projections

Assessing metropolitan area competitive position, needs and opportunities requires knowing about demographic-economic composition and trends. This section illustrates the structure and use of ProximityOne demographic projections to 2060 for the Columbia, SC metro and tools to view and analyze these data. Operations shown here can be applied to any metro or county. These data are part of the ProximityOne Outlook2060 and Situation & Outlook resources.

Columbia, SC Metropolitan Area ... view developed using CV XE GIS.


The Columbia, SC Metro by County Population Trends, 2010-2060 are summarized in the graphic below. This graphic is a snapshot of the all U.S. by state/county interactive table available at http://proximityone.com/demographics2060.htm. This view shows a row for each Columbia, SC metro county with Census 2010 population and projections to 2030 and 2060. The projections are developed using the ProximityOne Modeler.


Column Headers - scroll section
  • Type - Type of geography; summary level (see below)
  • StCty - State + County FIPS Code
  • CBSA - Core-Based Statistical Area Code (2009/Census 2010/ACS 2012 vintage) see list of names/codes
  • MD - Metropolitan Division Code (2009/Census 2010/ACS 2012 vintage)
  • CBSA13 - Core-Based Statistical Area Code (2013 vintage) see list of names/codes
  • MD13 - Metropolitan Division Code (2013 vintage)
  • Pop2010 -- Census 2010 (Census Bureau; ProximityOne; summarized from age cell data)
  • Pop2030 -- population mid-2030 (ProximityOne)
  • Pop2060 -- population mid-2060 (ProximityOne)
  • Ch2010-30 -- population change 2010 to 2030
  • %Ch2010-30 -- percent population change 2010 to 2030
  • Ch2010-60 -- population change 2010 to 2060
  • %Ch2010-60 -- percent population change 2010 to 2060


Extended Demographic Detail
The Modeler develops county level projections and stores these data in county level datasets. See XLS example for Sedgwick County (Wichita) KS (opens xls file). See more about the file content and structure.

The CV XE Outlook module can be used with the county or multi-county extended demographic datasets. The graphic shown below illustrates the CV XE Outlook operation used to display Richland County, SC projections for the Asian alone male population. By selecting from race/origin and gender dropdown options, the user can generate many different combinations and examine trends over time. The year 2020 is highlighted in the graphic. This view shows there are 230 projected Asian alone males, ages 0-4 years, in Richland County in 2020. Population by selected age cohort and single year of age are displayed by row in the grid. Data are displayed by year, 2010 to 2060, across columns. The grid data may be output to HTML (see pointer) or XLS. The scroll section below the graphic shows the HTML output from the grid display shown in the graphic.


Richland County Asian alone Male Population by Single Year of Age & Age Cohort: 2010-2060
... scroll section ... use vertical scroll bar at right to scroll across ages;
... use horizontal scroll bar below section to scroll across years.
Outlook2060 Profile by Single Year & Selected Age Cohort 2010-2060
Richland County SC (45079)
Total population: All20102011201220132014201520162017201820192020
Total, All Ages 384,504 389,386 394,356 399,271 403,973 408,648 413,282 417,836 422,379 426,810 431,193
Age 0-4 24,463 24,342 24,192 24,155 24,042 24,166 24,296 24,424 24,555 24,687 24,826
Age 5-9 24,038 24,321 24,715 24,993 25,179 25,170 25,051 24,893 24,862 24,740 24,871
Age 10-14 23,746 24,050 24,304 24,410 24,699 24,778 25,072 25,438 25,737 25,930 25,906
Age 15-19 33,358 27,579 24,905 24,448 24,237 24,456 24,772 24,996 25,117 25,423 25,487
Age 20-24 40,822 44,474 44,899 42,529 38,884 33,964 28,220 25,539 25,089 24,890 25,108
Age 25-29 31,273 32,558 33,867 35,458 38,057 41,376 45,021 45,454 43,078 39,451 34,559
Age 30-34 26,705 27,795 28,859 30,073 30,976 31,884 33,172 34,479 36,048 38,634 41,951
Age 35-39 25,395 24,843 24,906 25,331 26,214 27,303 28,401 29,454 30,652 31,554 32,469
Age 40-44 24,450 24,977 25,479 25,818 25,937 25,943 25,401 25,463 25,877 26,756 27,843
Age 45-49 26,116 26,037 25,680 25,425 24,988 24,926 25,457 25,949 26,269 26,394 26,408
Age 50-54 25,452 25,961 26,150 26,274 26,563 26,490 26,413 26,063 25,800 25,373 25,322
Age 55-59 22,558 23,213 24,003 24,571 25,176 25,705 26,209 26,393 26,503 26,790 26,725
Age 60-64 18,587 19,985 20,475 21,273 21,888 22,643 23,280 24,048 24,592 25,186 25,697
Age 65-69 12,547 13,255 14,774 16,006 17,208 18,460 19,787 20,260 21,010 21,598 22,325
Age 70-74 8,550 8,901 9,547 10,367 11,232 12,058 12,710 14,124 15,261 16,374 17,535
Age 75-79 6,772 6,958 7,040 7,186 7,362 7,612 7,926 8,502 9,236 10,006 10,737
Age 80-84 5,010 5,176 5,312 5,391 5,530 5,664 5,814 5,879 6,004 6,149 6,358
Age 85-89 3,188 3,305 3,381 3,489 3,585 3,656 3,770 3,861 3,925 4,025 4,124
Age 90-94 1,151 1,276 1,442 1,616 1,718 1,840 1,894 1,931 1,999 2,046 2,089
Age 95-99 271 328 370 396 432 483 541 609 685 720 766
Age 100+ 52 52 56 62 66 71 75 77 80 84 87
Age 5-17 63,090 63,057 63,383 63,720 64,383 64,817 65,139 65,444 65,577 65,834 66,131
Age 18-34 116,852 117,720 118,166 118,191 117,649 116,811 116,169 115,355 114,354 113,234 111,751
Age 15-44 182,003 182,226 182,915 183,657 184,305 184,926 184,987 185,385 185,861 186,708 187,417
Age 16 & over 307,380 312,007 316,413 320,877 325,194 329,442 333,882 338,119 342,272 346,290 350,433
Age 18 & over 296,951 301,987 306,781 311,396 315,548 319,665 323,847 327,968 332,247 336,289 340,236
Age 65 & over 37,541 39,251 41,922 44,513 47,133 49,844 52,517 55,243 58,200 61,002 64,021
Age 85 & over 4,662 4,961 5,249 5,563 5,801 6,050 6,280 6,478 6,689 6,875 7,066
Single Year of Age:20102011201220132014201520162017201820192020
Total 384,504 389,386 394,356 399,271 403,973 408,648 413,282 417,836 422,379 426,810 431,193
Age 0 4,726 4,741 4,766 4,799 4,826 4,855 4,874 4,893 4,925 4,963 4,996
Age 1 4,944 4,728 4,743 4,769 4,801 4,826 4,856 4,874 4,897 4,925 4,962
Age 2 4,863 4,970 4,756 4,769 4,798 4,829 4,854 4,888 4,904 4,924 4,953
Age 3 4,984 4,891 5,004 4,786 4,802 4,827 4,855 4,883 4,915 4,933 4,954
Age 4 4,946 5,012 4,923 5,032 4,815 4,829 4,857 4,886 4,914 4,942 4,961
Age 5 4,863 4,974 5,044 4,951 5,059 4,844 4,856 4,884 4,916 4,942 4,974
Age 6 4,897 4,891 5,008 5,072 4,979 5,089 4,874 4,891 4,916 4,945 4,970
Age 7 4,717 4,925 4,925 5,034 5,100 5,011 5,120 4,903 4,919 4,943 4,975
Age 8 4,758 4,745 4,959 4,951 5,062 5,132 5,039 5,148 4,933 4,947 4,973
Age 9 4,803 4,786 4,779 4,985 4,979 5,094 5,162 5,067 5,178 4,963 4,979
Age 10 4,944 4,831 4,820 4,805 5,013 5,011 5,124 5,188 5,097 5,207 4,990
Age 11 4,743 4,972 4,865 4,848 4,833 5,045 5,041 5,152 5,220 5,128 5,236
Age 12 4,748 4,771 5,006 4,893 4,874 4,865 5,075 5,071 5,184 5,250 5,158
Age 13 4,672 4,776 4,805 5,033 4,919 4,906 4,896 5,104 5,103 5,214 5,280
Age 14 4,639 4,700 4,808 4,831 5,060 4,951 4,936 4,923 5,133 5,131 5,242
Age 15 4,877 4,666 4,732 4,836 4,859 5,092 4,981 4,962 4,953 5,163 5,157
Age 16 5,091 4,903 4,699 4,758 4,862 4,889 5,120 5,007 4,992 4,981 5,189
Age 17 5,338 5,117 4,933 4,723 4,784 4,888 4,915 5,144 5,033 5,020 5,008
Age 18 7,507 5,362 5,147 4,959 4,749 4,812 4,918 4,941 5,172 5,061 5,046
Age 19 10,545 7,531 5,394 5,172 4,983 4,775 4,838 4,942 4,967 5,198 5,087
Age 20 9,940 10,564 7,553 5,416 5,195 5,011 4,803 4,863 4,969 4,994 5,224
Age 21 8,860 9,959 10,584 7,578 5,440 5,222 5,038 4,828 4,889 4,994 5,020
Age 22 7,843 8,880 9,978 10,607 7,601 5,464 5,246 5,061 4,851 4,915 5,020
Age 23 7,187 7,863 8,899 10,002 10,626 7,622 5,489 5,271 5,084 4,877 4,940
Age 24 6,992 7,208 7,885 8,926 10,022 10,645 7,644 5,516 5,296 5,110 4,904
Age 25 6,709 7,015 7,232 7,912 8,946 10,040 10,664 7,668 5,538 5,320 5,138
Age 26 6,365 6,733 7,037 7,258 7,934 8,966 10,060 10,684 7,692 5,564 5,345
Age 27 6,375 6,389 6,757 7,064 7,281 7,955 8,989 10,085 10,706 7,715 5,589
Age 28 5,998 6,399 6,415 6,783 7,089 7,304 7,979 9,013 10,106 10,726 7,738
Age 29 5,826 6,022 6,426 6,441 6,807 7,111 7,329 8,004 9,036 10,126 10,749
Age 30 5,918 5,850 6,049 6,451 6,464 6,830 7,136 7,355 8,027 9,056 10,148
Age 31 5,574 5,942 5,877 6,075 6,474 6,488 6,855 7,161 7,376 8,049 9,079
Age 32 5,291 5,598 5,967 5,903 6,097 6,497 6,513 6,880 7,184 7,398 8,072
Age 33 5,066 5,315 5,625 5,994 5,925 6,121 6,523 6,538 6,902 7,206 7,422
Age 34 4,856 5,090 5,341 5,650 6,016 5,948 6,145 6,545 6,559 6,925 7,230
Age 35 4,939 4,880 5,116 5,367 5,673 6,038 5,974 6,170 6,569 6,582 6,949
Age 36 4,807 4,962 4,906 5,141 5,390 5,694 6,064 5,997 6,192 6,591 6,607
Age 37 4,997 4,830 4,988 4,931 5,165 5,411 5,719 6,087 6,020 6,214 6,614
Age 38 5,131 5,019 4,854 5,013 4,952 5,186 5,434 5,742 6,108 6,040 6,237
Age 39 5,521 5,152 5,042 4,879 5,034 4,974 5,210 5,458 5,763 6,127 6,062
Age 40 5,043 5,541 5,176 5,067 4,901 5,055 4,999 5,233 5,479 5,783 6,148
Age 41 4,793 5,063 5,561 5,199 5,088 4,921 5,076 5,020 5,252 5,501 5,803
Age 42 4,783 4,813 5,085 5,586 5,219 5,107 4,943 5,098 5,041 5,272 5,519
Age 43 4,738 4,803 4,834 5,109 5,603 5,238 5,127 4,964 5,120 5,061 5,292
Age 44 5,093 4,757 4,823 4,857 5,126 5,622 5,256 5,148 4,985 5,139 5,081
Age 45 5,203 5,111 4,776 4,846 4,875 5,144 5,639 5,275 5,166 5,003 5,156
Age 46 5,325 5,219 5,128 4,798 4,862 4,892 5,163 5,655 5,292 5,185 5,023
Age 47 5,151 5,340 5,236 5,149 4,816 4,880 4,911 5,179 5,671 5,310 5,202
Age 48 5,186 5,166 5,357 5,257 5,164 4,831 4,897 4,927 5,195 5,685 5,326
Age 49 5,251 5,201 5,183 5,375 5,271 5,179 4,847 4,913 4,945 5,211 5,701
Age 50 5,354 5,265 5,216 5,200 5,388 5,284 5,195 4,865 4,929 4,961 5,227
Age 51 5,107 5,367 5,279 5,234 5,214 5,402 5,298 5,207 4,882 4,946 4,977
Age 52 5,119 5,119 5,379 5,297 5,246 5,227 5,413 5,312 5,224 4,896 4,960
Age 53 5,069 5,130 5,132 5,395 5,308 5,259 5,239 5,427 5,325 5,235 4,910
Age 54 4,803 5,080 5,144 5,148 5,407 5,318 5,268 5,252 5,440 5,335 5,248
Age 55 4,881 4,814 5,091 5,155 5,158 5,414 5,328 5,279 5,262 5,448 5,347
Age 56 4,548 4,890 4,823 5,103 5,163 5,166 5,422 5,336 5,290 5,268 5,455
Age 57 4,617 4,557 4,897 4,834 5,108 5,169 5,171 5,426 5,340 5,295 5,277
Age 58 4,323 4,624 4,563 4,906 4,838 5,113 5,174 5,176 5,432 5,346 5,298
Age 59 4,189 4,328 4,629 4,573 4,909 4,843 5,114 5,176 5,179 5,433 5,348
Age 60 4,140 4,193 4,332 4,634 4,576 4,910 4,844 5,114 5,177 5,180 5,429
Age 61 3,953 4,143 4,196 4,340 4,634 4,575 4,908 4,844 5,113 5,174 5,176
Age 62 3,852 3,956 4,144 4,200 4,339 4,631 4,573 4,905 4,842 5,109 5,168
Age 63 3,844 3,853 3,955 4,146 4,199 4,334 4,628 4,568 4,899 4,835 5,099
Age 64 2,798 3,840 3,848 3,953 4,140 4,193 4,327 4,617 4,561 4,888 4,825
Age 65 2,837 2,800 3,833 3,845 3,947 4,130 4,183 4,316 4,604 4,548 4,872
Age 66 2,718 2,837 2,801 3,825 3,836 3,935 4,117 4,169 4,303 4,586 4,531
Age 67 2,606 2,716 2,834 2,801 3,810 3,820 3,918 4,098 4,151 4,284 4,563
Age 68 2,302 2,602 2,712 2,830 2,795 3,791 3,800 3,899 4,078 4,129 4,259
Age 69 2,084 2,300 2,594 2,705 2,820 2,784 3,769 3,778 3,874 4,051 4,100
Age 70 1,946 2,082 2,295 2,589 2,694 2,807 2,772 3,741 3,750 3,845 4,018
Age 71 1,771 1,915 2,048 2,257 2,546 2,650 2,761 2,726 3,680 3,688 3,782
Age 72 1,686 1,740 1,881 2,010 2,217 2,498 2,602 2,710 2,679 3,615 3,622
Age 73 1,542 1,653 1,705 1,842 1,971 2,173 2,447 2,550 2,657 2,625 3,543
Age 74 1,605 1,511 1,618 1,669 1,804 1,930 2,128 2,397 2,495 2,601 2,570
Age 75 1,506 1,570 1,476 1,582 1,632 1,762 1,887 2,079 2,342 2,440 2,541
Age 76 1,409 1,470 1,530 1,439 1,543 1,591 1,720 1,838 2,027 2,286 2,380
Age 77 1,353 1,372 1,430 1,489 1,400 1,501 1,546 1,673 1,790 1,971 2,222
Age 78 1,272 1,313 1,332 1,387 1,445 1,360 1,456 1,502 1,624 1,737 1,913
Age 79 1,232 1,233 1,272 1,289 1,342 1,398 1,317 1,410 1,453 1,572 1,681
Age 80 1,153 1,189 1,189 1,228 1,244 1,297 1,351 1,269 1,360 1,403 1,515
Age 81 1,045 1,111 1,147 1,144 1,181 1,197 1,247 1,297 1,223 1,309 1,351
Age 82 1,056 1,003 1,064 1,098 1,096 1,133 1,147 1,197 1,244 1,172 1,253
Age 83 913 1,008 956 1,016 1,047 1,047 1,078 1,094 1,140 1,186 1,117
Age 84 843 865 956 905 962 990 991 1,022 1,037 1,079 1,122
Age 85 830 792 811 895 851 905 931 929 959 973 1,013
Age 86 673 773 737 755 833 790 838 864 863 892 905
Age 87 672 621 713 679 695 768 728 771 797 796 823
Age 88 561 613 567 650 619 634 700 665 706 728 727
Age 89 452 506 553 510 587 559 573 632 600 636 656
Age 90 371 404 452 493 455 525 501 512 565 537 566
Age 91 260 327 358 399 436 403 464 442 451 496 470
Age 92 204 227 287 311 350 380 351 399 383 393 434
Age 93 168 176 196 246 268 302 326 301 345 329 339
Age 94 148 142 149 167 209 230 252 277 255 291 280
Age 95 104 124 118 125 140 174 189 211 232 214 245
Age 96 67 86 103 98 104 113 143 155 175 192 176
Age 97 58 55 69 82 80 83 91 116 127 141 153
Age 98 20 47 43 56 66 63 68 74 93 99 113
Age 99 22 16 37 35 42 50 50 53 58 74 79
Age 100+ 52 52 56 62 66 71 75 77 80 84 87

Notes
  Source: ProximityOne Outlook2060 (888.364.7656)
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