College of Liberal Arts and Sciences Bureau of Economic and Business Research Florida Population Studies Bulletin 172, June 2015 Population Projections by Age, Sex, Race, and Hispanic Origin for Florida and Its Counties 2015 With Estimates for 2014 2040
Florida Population Studies Bulletin 172, June 2015 Population Projections by Age, Sex, Race, and Hispanic Origin for Stefan Rayer Ying Wang University of Florida W. Kent Fuchs, President College of Liberal Arts and Sciences Dave Richardson, Dean Bureau of Economic and Business Research Christopher McCarty, Director Population Program Stefan Rayer, Program Director Ying Wang, Research Demographer Richard L. Doty, Research Demographer Suzanne Roulston-Doty, Research Demographer Stanley K. Smith, Professor Emeritus Bureau of Economic and Business Research College of Liberal Arts and Sciences University of Florida Ayers Technological Plaza 720 SW 2nd Ave, Suite 150 P. O. Box 117148 Gainesville, Florida 32611-7148 Phone: 352.392.0171 Fax: 352.392.4739 www.bebr.ufl.edu
Population Projections by Age, Sex, Race, and Hispanic Origin for Florida and Its Counties, 2015 2040, With Estimates for 2014 The composition of Florida s population has changed substantially in recent decades. Between 1950 and 2010, for example, the proportion of Florida s population younger than age 15 declined from 26.2 to 17.5 percent; the proportion age 65 and older rose from 8.6 to 17.3 percent; and the proportion black declined from 21.7 to 16.9 percent. The Hispanic population increased from 6.0 percent of the total population in 1970 to 22.5 percent in 2010. Changes in demographic composition have been even greater for many counties than for the state as a whole. These changes have important implications for planning and public policy. They affect the demand for education, healthcare, housing, recreation, transportation, and many other goods and services. They affect the number and characteristics of persons in the labor force and in public and private retirement systems. They affect the allocation of many types of public funds. Consequently, there is a tremendous need for population projections by age, sex, race, and Hispanic origin. This report provides a summary of our most recent projections by age, sex, race, and Hispanic origin for Florida and each of its counties from 2015 2040; estimates of those demographic subgroups for 2014; and a description of the methodology used to construct these estimates and projections. Definitions of Race and Ethnicity The decennial census in the United States is based on self-enumeration. Residents of each household are asked to provide the responses they believe best describe their demographic characteristics, based on guidelines established by the U.S. Census Bureau and the U.S. Office of Management and Budget (OMB). These guidelines allow respondents to identify themselves as Hispanic or non-hispanic and as belonging to one or more of several racial groups. It should be noted that Hispanic is an ethnic classification rather than a racial category; that is, people can be identified both by Hispanic origin and by race. The OMB defines Hispanic or Latino as a person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin regardless of race. For data collection and presentation purposes, federal agencies are required to use a minimum of two ethnicities: Hispanic or Latino, and Not Hispanic or Latino. We follow the same guidelines in this report and use the term Hispanic to refer to persons of Hispanic, Latino, or Spanish origin. The three largest racial/ethnic groups in Florida are non-hispanic whites, non-hispanic blacks, and Hispanics. These three groups accounted for 97.0 percent of Florida s population in 2010. This report shows population estimates and projections by age and sex for these three racial/ethnic groups. Estimates and projections for the white, nonwhite, and black populations not differentiated by Hispanic origin are available on request. Data Data from the 1990, 2000, and 2010 censuses formed the basis for these estimates and projections. Although census data are generally quite reliable, two issues regarding race and ethnicity complicate their use. First, in 1990 and all previous censuses, respondents were required to identify themselves as belonging to a single race. Starting in 2000, they were permitted to identify themselves as belonging to one or more races. In Florida, 97.5 percent of the population identified themselves as belonging to a single race in 2010 and 2.5 percent identified themselves as belonging to two or more races. These proportions are very similar to those reported in 2000 (97.6 percent and 2.4 percent, respectively). 2
Second, although the U.S. Census Bureau defines Hispanic origin as an ethnic classification rather than a racial category, many respondents interpreted it as a racial category and listed their race as Hispanic, Latino, Mexican, Spaniard, or a similar response. In Florida, 3.6 percent of the total population in 2010 classified themselves as belonging to some race other than those listed on the census questionnaire; more than 90 percent of those respondents were of Hispanic origin. In 2000, 4.4 percent of the total population classified themselves as belonging to some race other than those listed on the census questionnaire; again, more than 90 percent of those respondents were of Hispanic origin. Responding to these issues, the National Center for Health Statistics (NCHS) collaborated with the U.S. Census Bureau to create a set of modified 2000 census counts for every state and county in the United States. Using a variety of data sources and techniques, the NCHS assigned people who classified themselves as belonging to more than one race (or who marked some other race on the census questionnaire) to a single primary race. These modifications produced data that were consistent over time, prevented double-counting of people belonging to more than one race, and provided a racial classification for Hispanics who did not identify their race. The NCHS released a comparable set of modified census counts for 2010. For 1990, the U.S. Census Bureau made modifications to the 1990 census counts in which persons listing some other race were assigned to a specific race the modified age/race, sex, and Hispanic origin (MARS) files. The estimates and projections described in this report were based on MARS data for 1990 and NCHS data for 2000 and 2010. For 2010, we used an updated April 1, 2010 population that includes Count Question Resolution (CQR) changes for Lake, Marion, and Miami-Dade counties from the Vintage 2013 NCHS bridged-race postcensal population estimates. We also made an additional adjustment for Gadsden County to correct for the institutional facility that the 2010 census failed to enumerate in the county. Large institutions (e.g., universities, prisons) account for a significant proportion of the total population in many counties in Florida. In such counties, it is important to account for the impact of these institutions when making population estimates and projections. Consequently, we used institutional records and data from the decennial census to estimate the non-institutional population by age, sex, race, and Hispanic origin for 1990, 2000, 2010, and 2014 in the following counties: Alachua, Baker, Bradford, Calhoun, Columbia, DeSoto, Dixie, Franklin, Gadsden, Gilchrist, Glades, Gulf, Hamilton, Hardee, Hendry, Holmes, Indian River, Jackson, Jefferson, Lafayette, Leon, Liberty, Madison, Okeechobee, Santa Rosa, Sumter, Suwannee, Taylor, Union, Volusia, Wakulla, Walton, and Washington counties. In these counties, we made separate projections for the institutional and non-institutional populations. The final projections for each county were constructed by adding together the institutional and non-institutional populations. The remainder of this report describes the methodology used for making projections of the non-institutional population. METHODOLOGY 2014 Estimates of Total Population by Race and Ethnicity We made estimates of the total number of non- Hispanic whites, non-hispanic nonwhites, and Hispanics for 2014 using a variety of data sources and techniques. Some relied on extrapolations of previous population trends, whereas others incorporated data on births, deaths, and school enrollment by race and ethnicity. Some estimates were based on averages of several of the individual techniques. The final estimate for each racial/ethnic group in each county was based on our judgment regarding which technique was most likely to provide an accurate estimate of the non-institutional population. As a final step, we controlled these estimates of total population by race and ethnicity to the 2014 estimates of total population published in Florida Estimates of Population: April 1, 2014, published by the Bureau of Economic and Business Research in January, 2015. A more detailed description of the methodology can be found in an article by Stanley Smith and June Nogle published in the Social Science Quarterly in 2004 (volume 85, pp. 731 745). Projections of Total Population by Race and Ethnicity Starting with the 2014 estimates, we made projections of the total non-institutional population of each county for non-hispanic whites, non-hispanic nonwhites, and Hispanics using the following techniques: 3
LINE24: linear extrapolation of 1990 2014 noninstitutional population change for each racial/ ethnic group. LINE14: linear extrapolation of 2000 2014 noninstitutional population change for each racial/ ethnic group. SHARE24: each racial/ethnic group s share of county non-institutional population change 1990 2014 is applied to projected county noninstitutional population change. SHARE14: each racial/ethnic group s share of county non-institutional population change 2000 2014 is applied to projected county noninstitutional population change. EXPO24: exponential extrapolation of 1990 2014 non-institutional population change for each racial/ethnic group. SHIFT24: the change in each racial/ethnic group s share of county non-institutional population 1990 2014 is linearly extrapolated and applied to county projections of total non-institutional population. CONST%: each racial/ethnic group s share of the non-institutional population in 2014 is assumed to remain constant over time. AVE7: an average of projections from the seven techniques described above. AVE5: an average of these projections, excluding the highest and lowest. AVE3: an average of these projections, excluding the two highest and the two lowest. CTRL AVE7: AVE7 controlled to medium county projection of total non-institutional population. CTRL AVE5: AVE5 controlled to medium county projection of total non-institutional population. CTRL AVE3: AVE3 controlled to medium county projection of total non-institutional population. The final projection of the total population for each racial/ethnic group in each county was based on our judgment regarding which technique was most likely to provide an accurate forecast of the future non-institutional population. In 63 counties, the final projection was based on CTRL AVE3; in Broward, Gulf and Miami-Dade counties, it was based on CTRL AVE7; and in DeSoto County, it was based on CTRL AVE5. In counties with institutional adjustments, projections of the institutional population were based on institutional records and our judgment regarding future institutional growth. Projections of the racial/ ethnic breakdown of the institutional population were made by applying the racial/ethnic distribution from the 2010 census to the projections of the total institutional population, which were adjusted to reflect changes in the racial/ethnic distribution of the non-institutional population over the projection horizon. Finally, projections of total population by race/ ethnicity were made by adding projections of the institutional population to projections of the noninstitutional population. In all counties, projections for the three racial/ethnic groups were controlled to the medium projections published in Projections of Florida Population by County, 2015 2040, with Estimates for 2014 Florida Population Studies, Bulletin No. 171, Bureau of Economic and Business Research, April 2015. Projections by Age, Sex, and Race/Ethnicity Using modified census data and institutional population data for 2000 and 2010, we subtracted the institutional population from the total population for each age, sex, racial, and ethnic group to derive estimates of the non-institutional population in each demographic subgroup. In order to reduce the impact of inconsistencies caused by small data values in many counties, we combined the data for males and females and calculated cohort-survival rates for the non-institutional population by dividing the 2010 estimate for each age, racial, and ethnic group by the 2000 estimate for the corresponding group 10 years younger. These rates were multiplied by weighting factors to account for higher survival rates among females, especially for the older age groups. In many instances, we adjusted the resulting cohort-survival rates to account for apparent data errors and to smooth out differences among age groups. These adjustments were most frequent in counties with 4
small populations, especially for the non-hispanic nonwhite and the Hispanic populations. We applied the adjusted cohort-survival rates to the 2010 non-institutional population by age, sex, race, and ethnicity to produce projections for 2020 for the population age 10 and older. For the population less than age 10, we used child-woman ratios based on 2010 NCHS data (i.e., population aged 0 4 divided by females aged 15 44, and population aged 5 9 divided by females aged 20 49). We applied those ratios to the projected female population in 2020 to provide projections of children aged 0 4 and 5 9, respectively. We divided these two age groups into males and females by applying sex ratios derived from the 2010 NCHS data. In some instances, we adjusted the child-woman ratios to account for expected changes in fertility rates. For each of the three racial and ethnic groups, we controlled the non-institutional age and sex projections to the independent projections of the total non-institutional population for 2020 described above. Using these projections as a base, we repeated the process to produce projections for 2030 and 2040. We made projections for 2015, 2025, and 2035 for all age groups above age 5 by interpolating between the numbers calculated for the beginning and end of the decade for each age and sex cohort. We made projections for the 0 4 age group by applying child-woman ratios to the relevant female population. These projections were controlled to the independent projections of the non-institutional population described above. As a final step, we added the independent projections of the institutional population, providing projections by age and sex for non-hispanic whites, non-hispanic nonwhites, and Hispanics. Projections at the state level were calculated by adding up the county projections. Projections for other Racial/Ethnic Groups We developed projections for several additional racial/ethnic groups. Using the 2010 NCHS data, we calculated the white/nonwhite proportion of the Hispanic population for each county and applied those proportions to the Hispanic projections to provide a white/nonwhite breakdown of the Hispanic population (in Florida, approximately 76 percent of the Hispanic population identified themselves as white alone in the 2010 census). Adding the Hispanic white population to the non-hispanic white population provided projections of the total white population by age and sex for each county. Using the 2010 NCHS data, we calculated blacks as a proportion of nonwhites for both the Hispanic and non-hispanic populations. We made those calculations separately for each county and based on historical trends and the 2010 values projected those proportions into the future. By applying these proportions to projections of the nonwhite population (for both Hispanics and non-hispanics), we developed projections of the non-hispanic black population and the total black population by age and sex for each county. This report shows projections for non-hispanic whites, non-hispanic blacks, and Hispanics, the three largest racial/ethnic groups in Florida. Projections for these groups do not sum exactly to projections of the total population because they do not include the non-hispanic population that is neither white nor black. Estimates for 2014 The methodology described above was used to make projections by age, sex, race, and Hispanic origin in five-year intervals from 2015 to 2040 for each county in Florida. Estimates for 2014 were made by interpolating between the 2010 modified census counts and the 2015 projections for each age/sex/racial/ ethnic group and controlling those interpolations to the 2014 estimates of total population by race and ethnicity described above. ADDITIONAL DATA This report provides data for abbreviated age groups for non-hispanic whites, non-hispanic blacks, and Hispanics. Data in five-year age groups up to age 85+ (including a breakdown for ages 15 17 and 18 19) are also available, not only for the three racial/ethnic groups shown here but also for the white, nonwhite, and black populations without reference to Hispanic origin. These data may be ordered online from the Bureau of Economic and Business Research (http:// www.bebr.ufl.edu). Acknowledgement Funding for these projections was provided by the Florida Legislature. 5
ALACHUA All Races Total 247,336 250,730 253,176 265,608 277,334 288,341 299,119 309,140 0-4 13,068 12,952 13,006 13,297 13,919 13,980 14,282 14,667 5-17 31,217 32,186 32,580 33,406 34,414 34,974 36,719 36,786 18-24 57,295 54,587 54,375 54,271 56,165 56,924 56,708 58,198 25-54 91,958 90,759 91,023 92,566 95,359 98,773 103,310 104,222 55-64 27,171 28,480 28,968 29,311 26,917 25,811 27,612 31,708 65-79 19,169 23,533 24,753 32,688 37,955 40,491 38,515 37,726 80+ 7,458 8,233 8,471 10,069 12,605 17,388 21,973 25,833 Female 127,550 129,041 130,243 136,344 142,168 147,632 153,014 158,007 0-4 6,365 6,339 6,373 6,516 6,821 6,850 6,998 7,187 5-17 15,369 15,976 16,186 16,549 17,025 17,316 18,167 18,188 18-24 30,317 28,754 28,627 28,841 29,874 30,121 30,090 30,796 25-54 46,156 45,198 45,242 45,542 46,786 48,602 51,155 51,554 55-64 14,232 15,079 15,376 15,507 13,893 13,084 13,550 15,723 65-79 10,374 12,591 13,216 17,200 20,343 21,591 20,474 19,496 80+ 4,737 5,104 5,223 6,189 7,426 10,068 12,580 15,063 Non-Hispanic White Total 160,651 160,994 161,947 166,748 171,217 175,419 179,562 183,413 0-4 6,751 6,546 6,528 6,516 6,593 6,474 6,410 6,479 5-17 16,989 17,087 17,174 16,883 17,092 16,910 17,575 17,174 18-24 35,411 33,478 33,242 32,685 33,277 33,217 33,099 33,605 25-54 59,554 57,532 57,325 56,691 57,107 58,109 59,665 59,434 55-64 20,712 21,033 21,216 20,273 18,093 16,797 17,626 19,861 65-79 15,044 18,539 19,503 25,547 28,838 29,688 27,409 26,251 80+ 6,190 6,779 6,959 8,153 10,217 14,224 17,778 20,609 Female 82,050 82,064 82,513 84,762 86,928 88,959 90,998 92,890 0-4 3,255 3,197 3,199 3,193 3,231 3,172 3,141 3,175 5-17 8,288 8,450 8,509 8,356 8,477 8,409 8,733 8,532 18-24 18,582 17,428 17,282 17,228 17,588 17,481 17,486 17,738 25-54 29,318 28,091 27,930 27,260 27,384 28,041 29,080 28,953 55-64 10,692 11,000 11,131 10,582 9,142 8,246 8,314 9,554 65-79 8,023 9,739 10,216 13,194 15,164 15,537 14,234 13,134 80+ 3,892 4,159 4,246 4,949 5,942 8,073 10,010 11,804 Non-Hispanic Black Total 51,115 52,535 53,343 57,457 61,185 64,549 68,023 71,241 0-4 4,242 4,242 4,276 4,404 4,553 4,492 4,652 4,767 5-17 10,033 9,830 9,934 10,398 10,684 10,825 11,308 11,478 18-24 9,505 9,591 9,629 9,915 10,787 11,456 11,560 12,009 25-54 18,951 19,333 19,600 20,859 22,308 23,821 25,303 25,869 55-64 4,561 5,071 5,239 5,859 5,470 5,327 5,864 7,094 65-79 2,902 3,459 3,625 4,730 5,826 6,646 6,722 6,797 80+ 921 1,009 1,040 1,292 1,557 1,982 2,614 3,227 Female 27,264 27,916 28,320 30,373 32,229 33,895 35,650 37,276 0-4 2,054 2,068 2,088 2,157 2,237 2,214 2,293 2,350 5-17 5,002 4,888 4,937 5,136 5,280 5,364 5,604 5,681 18-24 5,304 5,299 5,311 5,430 5,857 6,108 6,188 6,399 25-54 10,137 10,253 10,373 10,966 11,607 12,330 13,037 13,228 55-64 2,469 2,756 2,849 3,190 2,969 2,913 3,130 3,797 65-79 1,663 1,979 2,073 2,645 3,305 3,718 3,802 3,805 80+ 635 673 689 849 974 1,248 1,596 2,016 Hispanic Total 20,752 22,094 22,566 24,994 27,370 29,624 31,785 33,794 0-4 1,304 1,307 1,315 1,347 1,581 1,708 1,867 2,035 5-17 2,705 3,279 3,411 3,703 3,839 4,091 4,547 4,796 18-24 7,742 7,596 7,645 8,091 8,613 8,925 8,694 9,098 25-54 7,031 7,467 7,618 8,399 9,198 9,919 10,995 11,401 55-64 1,035 1,318 1,396 1,784 1,913 2,142 2,418 2,693 65-79 686 824 862 1,294 1,767 2,230 2,439 2,707 80+ 249 303 319 376 459 609 825 1,064 Female 10,722 11,392 11,630 12,851 14,049 15,180 16,272 17,286 0-4 667 646 644 660 775 837 915 997 5-17 1,317 1,637 1,707 1,865 1,906 2,025 2,244 2,367 18-24 4,126 4,064 4,098 4,361 4,625 4,802 4,664 4,847 25-54 3,467 3,628 3,689 3,987 4,407 4,741 5,346 5,627 55-64 590 740 781 977 1,012 1,101 1,218 1,296 65-79 402 489 513 762 1,037 1,282 1,363 1,480 80+ 153 188 198 239 287 392 522 672 6
BAKER All Races Total 27,115 26,991 27,377 29,326 31,196 32,979 34,682 36,168 0-4 1,933 1,841 1,846 1,892 1,994 1,987 2,086 2,120 5-17 5,114 4,851 4,857 4,977 4,933 5,143 5,298 5,469 18-24 2,482 2,502 2,545 2,602 2,892 2,723 2,728 2,848 25-54 11,477 11,231 11,346 11,816 12,432 13,226 14,038 14,311 55-64 3,153 3,261 3,340 3,721 3,831 3,891 3,964 4,363 65-79 2,349 2,608 2,714 3,410 3,945 4,529 4,705 4,924 80+ 607 697 729 908 1,169 1,480 1,863 2,133 Female 12,955 12,753 12,893 13,865 14,794 15,685 16,524 17,257 0-4 929 899 904 927 977 974 1,022 1,039 5-17 2,468 2,350 2,355 2,405 2,384 2,497 2,571 2,654 18-24 1,152 1,109 1,114 1,186 1,334 1,225 1,245 1,307 25-54 5,224 4,977 4,992 5,193 5,497 5,894 6,235 6,259 55-64 1,587 1,637 1,674 1,846 1,842 1,881 1,961 2,256 65-79 1,202 1,345 1,402 1,782 2,110 2,368 2,436 2,509 80+ 393 436 452 526 650 846 1,054 1,233 Non-Hispanic White Total 22,626 22,357 22,642 24,321 25,936 27,480 28,952 30,222 0-4 1,613 1,539 1,545 1,570 1,649 1,636 1,725 1,753 5-17 4,320 4,076 4,080 4,166 4,111 4,280 4,386 4,525 18-24 1,969 1,979 2,013 2,076 2,314 2,156 2,163 2,245 25-54 9,309 8,997 9,059 9,475 10,035 10,703 11,410 11,616 55-64 2,732 2,776 2,833 3,177 3,295 3,400 3,469 3,829 65-79 2,142 2,364 2,457 3,032 3,478 3,974 4,151 4,391 80+ 541 626 655 825 1,054 1,331 1,648 1,863 Female 11,161 10,963 11,085 11,917 12,719 13,488 14,212 14,837 0-4 762 749 757 769 808 802 845 859 5-17 2,095 1,973 1,974 2,001 1,979 2,079 2,130 2,197 18-24 955 928 935 1,018 1,125 1,017 1,047 1,090 25-54 4,509 4,299 4,315 4,489 4,793 5,125 5,407 5,408 55-64 1,395 1,406 1,431 1,593 1,594 1,658 1,750 2,014 65-79 1,094 1,220 1,271 1,574 1,837 2,051 2,112 2,212 80+ 351 388 402 473 583 756 921 1,057 Non-Hispanic Black Total 3,747 3,853 3,928 4,082 4,232 4,376 4,518 4,646 0-4 265 247 245 256 269 267 270 271 5-17 633 611 612 638 635 654 677 690 18-24 435 439 444 420 458 452 442 464 25-54 1,857 1,911 1,951 1,959 1,971 2,024 2,100 2,129 55-64 343 394 411 440 429 399 398 432 65-79 157 189 200 301 377 454 452 434 80+ 57 62 65 68 93 126 179 226 Female 1,448 1,430 1,444 1,523 1,602 1,679 1,746 1,808 0-4 138 123 120 125 131 130 131 132 5-17 296 293 297 314 310 313 326 331 18-24 156 141 138 120 153 153 142 153 25-54 582 542 540 548 533 563 603 606 55-64 155 189 199 207 195 181 170 196 65-79 82 98 104 163 223 260 264 241 80+ 39 44 46 46 57 79 110 149 Hispanic Total 520 549 569 670 766 853 939 1,018 0-4 39 40 41 51 59 68 74 79 5-17 125 124 127 133 147 168 193 211 18-24 60 69 72 87 97 88 97 111 25-54 221 227 234 274 316 375 405 444 55-64 48 58 62 71 77 67 71 75 65-79 26 30 32 46 56 72 74 70 80+ 1 1 1 8 14 15 25 28 Female 230 244 251 303 352 399 441 482 0-4 21 20 20 25 29 33 36 39 5-17 58 61 63 67 73 82 93 102 18-24 30 32 33 40 46 44 46 53 25-54 88 93 96 114 131 165 182 203 55-64 22 25 26 28 38 29 28 32 65-79 11 12 12 25 29 39 41 38 80+ 0 1 1 4 6 7 15 15 7
BAY All Races Total 168,852 170,781 172,509 181,247 189,349 197,265 205,001 211,787 0-4 10,633 10,468 10,501 10,708 11,279 11,473 11,735 11,927 5-17 26,443 26,563 26,787 27,232 27,916 28,300 30,072 30,423 18-24 16,077 15,382 15,312 14,921 16,155 16,501 16,057 17,076 25-54 70,239 68,616 68,710 69,348 71,123 74,801 78,934 80,104 55-64 20,901 22,365 22,898 25,823 24,266 21,936 21,736 24,630 65-79 18,295 20,190 20,817 24,553 28,193 31,762 31,640 30,486 80+ 6,264 7,197 7,484 8,662 10,417 12,492 14,827 17,141 Female 85,196 86,006 86,839 91,055 95,012 98,881 102,755 106,155 0-4 5,182 5,123 5,145 5,247 5,527 5,622 5,750 5,844 5-17 13,042 13,111 13,228 13,399 13,667 13,866 14,745 14,908 18-24 7,825 7,511 7,482 7,376 8,100 8,077 7,909 8,395 25-54 34,821 33,750 33,728 33,969 34,911 36,869 39,031 39,805 55-64 10,717 11,585 11,887 13,186 12,057 10,942 10,789 12,040 65-79 9,819 10,647 10,934 12,740 14,718 16,402 16,165 15,391 80+ 3,790 4,279 4,435 5,138 6,032 7,103 8,366 9,772 Non-Hispanic White Total 136,594 136,628 137,688 143,045 147,887 152,554 157,076 161,055 0-4 7,706 7,499 7,505 7,553 7,795 7,782 7,826 7,831 5-17 19,708 19,358 19,420 19,323 19,543 19,539 20,467 20,404 18-24 12,240 11,474 11,371 10,891 11,466 11,438 11,128 11,712 25-54 56,702 54,657 54,566 53,936 54,764 56,982 59,507 59,848 55-64 18,097 19,092 19,486 21,962 20,503 18,205 17,841 20,142 65-79 16,497 18,077 18,612 21,600 24,472 27,431 27,254 26,078 80+ 5,644 6,471 6,728 7,780 9,344 11,177 13,053 15,040 Female 68,717 68,603 69,106 71,642 73,963 76,200 78,451 80,431 0-4 3,745 3,668 3,677 3,701 3,820 3,813 3,835 3,837 5-17 9,655 9,488 9,520 9,457 9,544 9,557 10,017 9,979 18-24 5,973 5,609 5,562 5,374 5,705 5,609 5,486 5,779 25-54 28,000 26,792 26,697 26,334 26,825 27,947 29,275 29,506 55-64 9,168 9,803 10,036 11,142 10,095 8,993 8,805 9,858 65-79 8,763 9,413 9,648 11,057 12,618 14,019 13,767 13,013 80+ 3,413 3,830 3,966 4,577 5,356 6,262 7,266 8,459 Non-Hispanic Black Total 18,922 19,334 19,584 20,850 22,060 23,246 24,389 25,390 0-4 1,646 1,629 1,636 1,676 1,724 1,746 1,798 1,823 5-17 4,131 4,071 4,085 4,177 4,233 4,315 4,561 4,693 18-24 2,190 2,172 2,186 2,117 2,298 2,321 2,335 2,483 25-54 7,700 7,666 7,712 8,121 8,521 9,070 9,563 9,808 55-64 1,693 1,966 2,051 2,294 2,205 2,175 2,248 2,496 65-79 1,121 1,330 1,395 1,881 2,371 2,759 2,717 2,711 80+ 441 500 519 584 708 860 1,167 1,376 Female 9,594 9,801 9,927 10,577 11,213 11,832 12,395 12,883 0-4 816 797 798 815 836 844 869 881 5-17 2,070 2,050 2,060 2,076 2,070 2,093 2,218 2,277 18-24 1,084 1,064 1,068 1,055 1,178 1,143 1,141 1,210 25-54 3,852 3,818 3,835 4,029 4,226 4,560 4,817 4,999 55-64 870 1,012 1,056 1,178 1,129 1,124 1,144 1,206 65-79 642 757 794 1,056 1,332 1,520 1,484 1,450 80+ 260 303 316 368 442 548 722 860 Hispanic Total 8,107 9,453 9,799 11,568 13,305 15,059 16,817 18,353 0-4 993 1,025 1,035 1,106 1,333 1,465 1,617 1,773 5-17 1,768 2,260 2,392 2,743 3,059 3,260 3,789 4,039 18-24 1,066 1,146 1,161 1,338 1,760 2,104 1,953 2,199 25-54 3,441 3,971 4,106 4,923 5,423 6,250 7,232 7,749 55-64 451 591 627 814 893 958 1,028 1,306 65-79 291 337 348 481 655 809 918 947 80+ 97 123 130 163 182 213 280 340 Female 3,914 4,580 4,751 5,626 6,502 7,390 8,288 9,080 0-4 476 500 507 542 653 718 792 869 5-17 888 1,118 1,183 1,352 1,495 1,604 1,861 1,989 18-24 468 536 548 646 876 991 949 1,053 25-54 1,624 1,858 1,918 2,323 2,570 3,029 3,533 3,840 55-64 233 301 318 400 446 497 506 623 65-79 166 193 199 264 350 419 481 505 80+ 59 74 78 99 112 132 166 201 8
BRADFORD All Races Total 28,520 27,323 27,632 28,446 29,194 29,882 30,474 30,979 0-4 1,670 1,623 1,621 1,581 1,620 1,574 1,610 1,619 5-17 3,965 3,974 4,003 4,084 4,004 4,033 4,060 4,096 18-24 2,551 2,339 2,352 2,319 2,529 2,501 2,431 2,480 25-54 12,709 11,163 11,207 10,940 11,142 11,349 11,770 11,589 55-64 3,512 3,616 3,685 3,885 3,507 3,231 3,314 3,687 65-79 3,103 3,423 3,526 4,249 4,617 5,093 4,749 4,704 80+ 1,010 1,185 1,238 1,388 1,775 2,101 2,540 2,804 Female 12,510 12,560 12,647 13,021 13,379 13,712 14,003 14,255 0-4 794 790 794 774 793 771 789 793 5-17 1,943 1,942 1,955 1,982 1,948 1,975 1,989 2,007 18-24 1,013 964 957 980 1,075 1,032 1,024 1,048 25-54 4,754 4,517 4,484 4,312 4,409 4,505 4,677 4,545 55-64 1,702 1,795 1,829 1,949 1,713 1,583 1,627 1,837 65-79 1,656 1,801 1,846 2,190 2,413 2,628 2,470 2,417 80+ 648 751 782 834 1,028 1,218 1,427 1,608 Non-Hispanic White Total 21,325 20,941 21,134 21,721 22,256 22,742 23,162 23,515 0-4 1,217 1,189 1,188 1,164 1,184 1,129 1,161 1,166 5-17 3,002 2,991 3,007 3,037 2,956 2,990 2,976 2,993 18-24 1,732 1,642 1,649 1,650 1,798 1,736 1,708 1,736 25-54 8,820 8,020 8,001 7,666 7,803 7,930 8,222 8,006 55-64 2,907 3,008 3,061 3,260 2,927 2,668 2,730 3,062 65-79 2,758 3,036 3,125 3,713 3,991 4,404 4,116 4,070 80+ 889 1,055 1,103 1,231 1,597 1,885 2,249 2,482 Female 10,125 10,155 10,225 10,486 10,744 10,978 11,190 11,371 0-4 584 580 582 570 580 553 569 571 5-17 1,479 1,472 1,480 1,487 1,444 1,466 1,460 1,468 18-24 760 733 731 754 832 779 776 790 25-54 3,854 3,627 3,593 3,402 3,476 3,547 3,675 3,520 55-64 1,420 1,493 1,521 1,660 1,438 1,309 1,350 1,557 65-79 1,458 1,585 1,625 1,880 2,059 2,241 2,119 2,058 80+ 570 665 693 733 915 1,083 1,241 1,407 Non-Hispanic Black Total 5,908 5,204 5,286 5,423 5,551 5,669 5,771 5,858 0-4 367 350 348 336 346 347 345 341 5-17 788 783 790 826 819 811 830 837 18-24 668 567 569 518 560 578 550 560 25-54 3,210 2,583 2,628 2,657 2,675 2,704 2,787 2,803 55-64 491 492 507 510 480 467 478 510 65-79 280 317 331 445 521 582 536 537 80+ 104 112 113 131 150 180 245 270 Female 1,955 1,960 1,971 2,043 2,109 2,171 2,214 2,251 0-4 176 169 168 162 167 168 167 165 5-17 382 381 384 398 396 390 400 402 18-24 211 191 187 171 187 197 184 189 25-54 730 727 728 736 740 748 777 788 55-64 225 238 244 236 232 230 232 234 65-79 164 179 183 254 290 325 299 306 80+ 67 75 77 86 97 113 155 167 Hispanic Total 1,020 920 943 1,029 1,108 1,185 1,251 1,314 0-4 67 66 66 64 72 79 85 94 5-17 134 156 163 175 185 189 209 221 18-24 127 110 113 131 147 159 144 156 25-54 567 457 467 503 541 586 631 649 55-64 71 73 75 79 70 71 81 90 65-79 39 42 42 56 72 76 68 67 80+ 15 16 17 21 21 25 33 37 Female 274 292 297 339 379 418 451 484 0-4 22 30 32 31 35 39 42 46 5-17 63 66 68 72 83 93 102 109 18-24 30 30 29 46 45 43 51 56 25-54 103 102 102 116 139 160 173 186 55-64 31 36 37 31 24 28 30 32 65-79 16 19 20 32 42 41 32 32 80+ 9 9 9 11 11 14 21 23 9
BREVARD All Races Total 543,376 552,427 557,665 584,509 609,013 631,123 650,734 668,020 0-4 26,809 27,046 27,242 28,093 29,352 29,588 30,813 30,498 5-17 80,877 77,176 76,642 77,627 77,541 80,265 82,567 85,645 18-24 42,781 44,565 45,253 41,839 43,509 41,632 42,602 43,892 25-54 207,545 198,809 197,688 193,142 199,020 207,010 218,980 221,443 55-64 74,652 84,707 87,692 99,681 90,425 76,119 71,888 78,812 65-79 79,924 84,999 86,744 104,190 121,967 142,332 138,776 129,672 80+ 30,788 35,125 36,404 39,937 47,199 54,177 65,108 78,058 Female 277,134 281,450 284,046 297,331 309,404 320,212 330,002 338,580 0-4 12,895 13,204 13,349 13,765 14,382 14,498 15,098 14,944 5-17 39,504 37,703 37,465 37,963 38,061 39,544 40,695 42,203 18-24 19,680 21,038 21,470 20,289 21,074 19,977 20,761 21,323 25-54 105,614 100,311 99,521 96,024 98,250 101,541 106,968 108,108 55-64 38,637 43,449 44,893 51,315 46,809 39,548 36,952 39,847 65-79 42,597 45,391 46,344 54,742 63,622 73,844 72,675 68,003 80+ 18,207 20,354 21,004 23,233 27,206 31,260 36,853 44,152 Non-Hispanic White Total 428,550 427,556 429,791 441,151 451,478 460,782 469,057 476,342 0-4 17,752 17,487 17,522 17,692 18,023 17,624 18,039 17,380 5-17 56,613 51,814 50,916 49,545 48,203 49,030 49,783 50,814 18-24 30,448 31,192 31,558 27,810 27,830 25,541 26,100 26,682 25-54 162,344 150,884 148,895 139,829 140,699 144,074 151,032 150,460 55-64 63,431 71,094 73,422 82,091 72,465 58,145 53,384 58,956 65-79 69,918 73,446 74,757 89,007 103,121 119,480 114,691 104,919 80+ 28,044 31,639 32,721 35,177 41,137 46,888 56,028 67,131 Female 217,442 216,621 217,675 223,038 227,940 232,328 236,479 240,135 0-4 8,515 8,532 8,586 8,669 8,831 8,636 8,839 8,516 5-17 27,561 25,213 24,773 24,151 23,628 24,136 24,525 25,020 18-24 14,246 14,849 15,085 13,444 13,401 12,259 12,705 13,001 25-54 81,523 75,282 74,159 68,958 68,927 70,246 73,447 73,035 55-64 32,276 35,864 36,969 41,672 36,945 29,618 26,817 29,424 65-79 36,850 38,695 39,383 45,882 52,765 60,789 58,996 53,834 80+ 16,471 18,186 18,720 20,262 23,443 26,644 31,150 37,305 Non-Hispanic Black Total 55,881 58,969 60,089 65,927 71,236 76,042 80,292 84,040 0-4 4,446 4,525 4,570 4,742 4,938 5,044 5,294 5,343 5-17 12,260 12,170 12,193 12,819 12,808 13,317 13,792 14,531 18-24 6,368 6,466 6,556 6,240 6,962 6,630 6,884 7,038 25-54 20,726 21,640 21,998 23,867 25,849 28,163 30,113 31,306 55-64 5,500 6,515 6,809 8,312 8,477 8,400 8,377 9,058 65-79 5,158 5,869 6,081 7,561 9,198 10,945 11,414 11,513 80+ 1,423 1,784 1,882 2,386 3,004 3,543 4,418 5,251 Female 28,778 30,397 30,982 34,005 36,710 39,141 41,180 42,956 0-4 2,143 2,208 2,237 2,314 2,402 2,446 2,567 2,591 5-17 5,990 5,954 5,977 6,241 6,255 6,511 6,756 7,106 18-24 2,806 2,991 3,058 3,074 3,383 3,167 3,342 3,402 25-54 10,996 11,233 11,359 12,053 12,959 13,957 14,742 15,324 55-64 3,009 3,521 3,672 4,459 4,570 4,616 4,576 4,732 65-79 2,917 3,364 3,496 4,366 5,279 6,188 6,429 6,499 80+ 917 1,126 1,183 1,498 1,862 2,256 2,768 3,302 Hispanic Total 43,943 50,014 51,581 59,703 67,185 73,943 79,902 85,150 0-4 3,851 4,179 4,265 4,629 5,198 5,574 6,068 6,349 5-17 9,610 10,663 10,955 12,329 13,354 14,362 15,310 16,420 18-24 4,606 5,420 5,612 6,281 6,940 7,693 7,781 8,295 25-54 17,613 19,415 19,884 22,349 25,176 27,248 29,798 31,315 55-64 3,747 4,892 5,185 6,696 7,033 7,316 7,878 8,372 65-79 3,453 4,096 4,259 5,579 7,168 8,962 9,600 10,144 80+ 1,063 1,349 1,421 1,840 2,316 2,788 3,467 4,255 Female 22,466 25,582 26,387 30,538 34,351 37,774 40,803 43,454 0-4 1,875 2,045 2,090 2,268 2,547 2,731 2,973 3,111 5-17 4,721 5,238 5,390 6,073 6,551 7,072 7,521 8,086 18-24 2,034 2,506 2,609 3,008 3,393 3,664 3,778 3,968 25-54 9,124 9,933 10,145 11,179 12,486 13,426 14,647 15,456 55-64 2,086 2,691 2,846 3,637 3,865 4,019 4,277 4,366 65-79 1,975 2,353 2,449 3,243 4,082 5,133 5,447 5,848 80+ 651 816 858 1,130 1,427 1,729 2,160 2,619 10
BROWARD All Races Total 1,748,066 1,803,903 1,818,678 1,891,345 1,953,078 2,008,957 2,059,286 2,105,566 0-4 103,256 105,089 105,613 108,575 110,785 111,625 113,650 113,360 5-17 288,093 288,084 288,256 290,986 293,463 296,723 303,060 307,866 18-24 147,168 159,804 163,059 155,889 162,566 156,463 162,515 160,790 25-54 752,944 736,992 733,370 731,970 731,699 754,898 772,831 793,511 55-64 207,181 231,437 237,571 261,340 254,645 228,794 214,112 218,419 65-79 169,727 196,716 203,504 250,032 290,493 328,186 332,532 322,729 80+ 79,697 85,781 87,305 92,553 109,427 132,268 160,586 188,891 Female 901,495 929,131 936,472 972,267 1,003,688 1,031,767 1,057,937 1,081,818 0-4 50,601 51,495 51,750 53,202 54,285 54,697 55,689 55,546 5-17 140,539 141,128 141,360 142,972 144,108 145,650 148,795 151,124 18-24 72,560 77,993 79,401 75,797 80,292 76,566 80,039 78,622 25-54 386,401 378,949 377,285 375,943 373,047 383,227 389,695 398,648 55-64 107,722 119,664 122,689 134,129 132,231 120,228 113,322 115,285 65-79 92,987 106,165 109,485 133,068 154,043 172,996 176,680 172,553 80+ 50,685 53,737 54,502 57,156 65,682 78,403 93,717 110,040 Non-Hispanic White Total 778,216 752,611 745,993 714,959 690,509 670,909 655,751 644,101 0-4 32,341 30,560 30,106 28,661 27,749 26,510 26,065 25,278 5-17 95,737 88,868 87,124 79,500 73,843 70,888 70,338 69,514 18-24 47,742 49,290 49,663 44,340 43,167 37,680 37,330 36,039 25-54 311,263 277,122 268,509 236,880 217,528 212,680 211,890 209,383 55-64 120,095 123,048 123,749 123,414 108,011 86,702 71,886 71,400 65-79 107,938 119,942 122,909 142,116 152,742 159,311 149,441 134,295 80+ 63,100 63,781 63,933 60,048 67,469 77,138 88,801 98,192 Female 391,435 377,213 373,547 356,297 343,601 333,342 326,158 320,734 0-4 15,724 14,950 14,752 14,044 13,597 12,990 12,772 12,386 5-17 46,041 43,014 42,243 38,780 36,186 34,783 34,535 34,110 18-24 23,128 23,551 23,651 21,347 20,932 18,379 18,292 17,678 25-54 150,013 134,126 130,117 115,099 105,721 103,533 103,401 102,210 55-64 59,696 60,223 60,336 59,317 52,186 42,295 35,024 35,162 65-79 56,929 61,762 62,952 71,411 75,725 77,735 72,993 65,602 80+ 39,904 39,587 39,496 36,299 39,254 43,627 49,141 53,586 Non-Hispanic Black Total 463,372 495,842 504,544 546,199 580,082 608,775 632,393 652,176 0-4 36,828 38,496 38,955 40,739 41,507 41,780 42,528 42,349 5-17 99,161 100,731 101,202 105,079 106,762 108,573 110,532 112,212 18-24 51,190 55,049 56,107 53,847 57,300 55,157 57,752 57,222 25-54 199,900 206,650 208,581 223,162 232,527 246,882 253,727 261,175 55-64 41,344 50,553 52,931 60,361 61,720 60,249 61,055 65,433 65-79 27,839 35,046 36,893 49,542 62,507 72,717 75,954 75,592 80+ 7,110 9,317 9,875 13,469 17,759 23,417 30,845 38,193 Female 247,631 264,139 268,572 289,627 306,559 320,609 332,188 341,736 0-4 18,152 18,884 19,088 19,972 20,358 20,502 20,869 20,781 5-17 49,019 49,939 50,202 51,903 52,644 53,333 54,422 55,121 18-24 25,981 27,688 28,169 26,868 28,902 27,533 28,796 28,432 25-54 110,307 113,010 113,816 120,517 123,525 129,775 131,534 134,183 55-64 23,079 28,176 29,490 33,282 34,123 33,516 34,026 36,171 65-79 16,332 20,302 21,318 28,331 35,810 41,147 43,392 42,990 80+ 4,761 6,140 6,489 8,754 11,197 14,803 19,149 24,058 Hispanic Total 438,247 482,232 493,603 549,330 596,781 639,546 677,934 713,169 0-4 29,699 31,232 31,639 33,751 35,706 37,173 38,785 39,486 5-17 81,539 86,177 87,404 92,586 97,966 101,247 105,888 109,589 18-24 42,767 48,995 50,590 50,784 54,197 55,492 58,916 59,092 25-54 207,990 219,214 222,190 236,663 246,121 258,945 269,813 284,452 55-64 38,153 48,932 51,665 67,592 75,271 72,970 72,178 71,948 65-79 29,548 36,254 37,959 50,796 65,868 85,449 95,952 101,711 80+ 8,551 11,428 12,156 17,158 21,652 28,270 36,402 46,891 Female 226,722 249,554 255,456 284,247 308,920 331,063 351,147 369,516 0-4 14,553 15,304 15,503 16,538 17,496 18,215 19,005 19,348 5-17 39,760 42,147 42,777 45,544 48,020 49,757 51,903 53,855 18-24 20,760 23,559 24,277 24,184 26,525 26,639 28,752 28,367 25-54 107,892 113,607 115,124 121,605 125,195 130,994 135,578 142,689 55-64 20,936 26,530 27,949 36,221 40,713 39,530 39,310 38,677 65-79 17,382 21,174 22,139 29,223 37,306 48,114 53,966 57,692 80+ 5,439 7,233 7,687 10,932 13,665 17,814 22,633 28,888 11
CALHOUN All Races Total 14,625 14,592 14,589 15,055 15,500 15,919 16,288 16,612 0-4 909 868 863 831 856 853 865 858 5-17 2,223 2,137 2,132 2,142 2,099 2,111 2,142 2,188 18-24 1,241 1,247 1,248 1,205 1,259 1,244 1,220 1,210 25-54 6,217 6,019 5,932 5,924 6,012 6,072 6,264 6,337 55-64 1,777 1,894 1,928 2,046 1,977 1,949 1,932 1,944 65-79 1,733 1,831 1,868 2,196 2,401 2,695 2,657 2,731 80+ 525 596 618 711 896 995 1,208 1,344 Female 6,670 6,616 6,653 6,874 7,094 7,304 7,491 7,647 0-4 459 428 423 407 420 418 424 420 5-17 1,101 1,064 1,064 1,067 1,042 1,039 1,055 1,077 18-24 543 538 540 515 543 545 522 515 25-54 2,480 2,363 2,352 2,330 2,375 2,421 2,512 2,530 55-64 872 917 936 996 950 906 918 960 65-79 891 945 965 1,163 1,262 1,405 1,374 1,384 80+ 324 361 373 396 502 570 686 761 Non-Hispanic White Total 11,569 11,513 11,549 11,926 12,288 12,629 12,925 13,180 0-4 694 670 669 655 665 664 667 654 5-17 1,794 1,697 1,685 1,683 1,658 1,677 1,688 1,720 18-24 939 944 950 893 917 884 907 879 25-54 4,629 4,435 4,392 4,392 4,458 4,501 4,626 4,708 55-64 1,497 1,600 1,632 1,705 1,654 1,637 1,620 1,615 65-79 1,550 1,637 1,672 1,965 2,125 2,369 2,331 2,402 80+ 466 530 549 633 811 897 1,086 1,202 Female 5,632 5,585 5,615 5,796 5,975 6,144 6,293 6,415 0-4 357 332 328 321 326 325 327 320 5-17 884 845 842 843 827 827 833 848 18-24 458 449 450 411 426 424 421 407 25-54 2,095 2,008 2,001 1,996 2,021 2,054 2,111 2,133 55-64 764 794 807 837 822 784 791 827 65-79 789 839 859 1,041 1,106 1,222 1,197 1,211 80+ 285 318 328 347 447 508 613 669 Non-Hispanic Black Total 2,055 2,051 2,013 2,018 2,030 2,038 2,046 2,058 0-4 121 115 114 103 103 98 98 94 5-17 268 252 249 251 243 235 231 233 18-24 209 212 208 192 192 195 189 187 25-54 1,081 1,065 1,029 991 984 959 969 961 55-64 193 208 211 248 232 222 218 222 65-79 134 143 144 169 207 253 247 250 80+ 49 56 58 64 69 76 94 111 Female 686 676 674 682 690 701 702 708 0-4 57 56 56 50 50 47 47 45 5-17 134 123 121 121 115 112 110 111 18-24 60 59 58 53 57 54 53 52 25-54 255 238 232 215 217 209 211 206 55-64 76 91 96 119 94 92 93 89 65-79 74 75 75 84 113 140 133 133 80+ 30 34 36 40 44 47 55 72 Hispanic Total 755 788 787 858 929 998 1,057 1,112 0-4 80 70 67 59 75 77 86 96 5-17 124 154 163 173 164 167 191 204 18-24 75 71 70 100 128 140 101 120 25-54 409 421 413 439 460 504 556 557 55-64 48 47 47 52 59 60 65 77 65-79 16 22 24 30 37 38 44 43 80+ 3 3 3 5 6 12 14 15 Female 220 234 240 275 311 345 378 405 0-4 39 34 33 29 37 38 42 47 5-17 62 77 81 84 81 82 94 100 18-24 14 19 21 42 50 57 39 47 25-54 80 76 76 81 99 125 154 156 55-64 18 15 15 20 20 15 18 28 65-79 5 11 12 18 21 20 22 18 80+ 2 2 2 1 3 8 9 9 12
CHARLOTTE All Races Total 159,978 164,467 166,083 174,224 181,503 187,521 192,578 197,564 0-4 5,545 5,681 5,728 5,818 6,213 6,269 6,623 6,482 5-17 17,333 16,493 16,320 16,486 16,313 17,108 17,561 18,655 18-24 8,612 9,377 9,593 8,777 9,086 8,496 8,834 8,976 25-54 46,513 46,201 46,254 44,975 47,093 47,993 51,823 52,175 55-64 27,376 27,945 28,176 30,239 29,503 26,223 24,792 26,042 65-79 39,768 41,868 42,534 48,886 50,227 55,208 53,341 53,132 80+ 14,831 16,902 17,478 19,043 23,068 26,224 29,604 32,102 Female 82,216 84,751 85,636 90,110 93,791 96,817 98,956 101,052 0-4 2,692 2,779 2,807 2,851 3,044 3,072 3,245 3,176 5-17 8,428 8,059 7,983 8,097 8,009 8,414 8,639 9,177 18-24 4,014 4,472 4,597 4,229 4,454 4,111 4,316 4,371 25-54 23,540 22,924 22,833 21,901 22,809 23,186 25,253 25,500 55-64 14,916 15,262 15,397 16,001 15,095 13,255 12,228 12,659 65-79 20,259 21,994 22,502 26,480 27,606 29,781 28,122 27,335 80+ 8,367 9,261 9,517 10,551 12,774 14,998 17,153 18,834 Non-Hispanic White Total 139,023 140,901 141,889 146,835 151,169 154,643 157,471 160,250 0-4 4,094 4,071 4,080 4,043 4,245 4,165 4,329 4,133 5-17 13,201 12,121 11,894 11,669 11,288 11,650 11,829 12,378 18-24 6,636 7,081 7,220 6,320 6,399 5,845 6,055 6,094 25-54 38,710 37,502 37,340 35,023 35,972 36,034 39,083 38,973 55-64 25,204 25,290 25,403 26,880 25,905 22,516 20,830 21,736 65-79 37,235 39,029 39,621 45,347 46,037 50,179 48,085 47,521 80+ 13,943 15,807 16,331 17,553 21,323 24,254 27,260 29,415 Female 71,612 72,822 73,391 76,250 78,480 80,262 81,314 82,340 0-4 1,991 1,992 1,999 1,981 2,080 2,041 2,121 2,025 5-17 6,351 5,850 5,745 5,701 5,544 5,728 5,819 6,087 18-24 3,207 3,412 3,476 2,985 3,083 2,840 2,955 2,975 25-54 19,734 18,843 18,689 17,354 17,658 17,578 19,194 19,027 55-64 13,686 13,765 13,835 14,180 13,245 11,400 10,288 10,728 65-79 18,837 20,368 20,827 24,421 25,171 26,918 25,262 24,364 80+ 7,806 8,592 8,820 9,628 11,699 13,757 15,675 17,134 Non-Hispanic Black Total 9,185 10,077 10,308 11,475 12,552 13,493 14,314 15,117 0-4 531 592 609 676 724 774 844 838 5-17 1,702 1,665 1,655 1,765 1,841 1,986 2,086 2,277 18-24 974 1,050 1,069 948 983 927 1,016 1,057 25-54 3,171 3,510 3,600 4,028 4,462 4,808 5,034 5,153 55-64 952 1,173 1,231 1,459 1,538 1,538 1,639 1,813 65-79 1,326 1,458 1,491 1,769 2,060 2,419 2,465 2,555 80+ 529 629 653 830 944 1,041 1,230 1,424 Female 4,485 4,943 5,062 5,661 6,182 6,632 7,003 7,366 0-4 249 279 287 321 346 372 406 403 5-17 831 826 825 865 887 959 1,009 1,099 18-24 360 473 499 480 508 449 494 512 25-54 1,414 1,479 1,499 1,673 1,911 2,130 2,270 2,432 55-64 540 646 675 765 750 717 755 748 65-79 756 852 876 1,034 1,196 1,338 1,291 1,274 80+ 335 388 401 523 584 667 778 898 Hispanic Total 9,213 10,695 11,025 12,721 14,288 15,636 16,818 17,996 0-4 786 865 881 920 1,047 1,115 1,216 1,279 5-17 2,030 2,305 2,366 2,600 2,694 2,919 3,068 3,368 18-24 835 1,041 1,089 1,294 1,455 1,467 1,481 1,532 25-54 3,539 4,049 4,162 4,697 5,355 5,823 6,314 6,619 55-64 851 1,055 1,101 1,419 1,597 1,745 1,871 1,995 65-79 895 1,025 1,053 1,310 1,572 1,934 2,104 2,346 80+ 277 355 373 481 568 633 764 857 Female 4,659 5,416 5,584 6,448 7,247 7,929 8,530 9,126 0-4 375 422 432 451 513 546 596 627 5-17 1,024 1,156 1,184 1,283 1,317 1,438 1,508 1,660 18-24 375 486 512 647 724 687 718 730 25-54 1,767 1,991 2,040 2,259 2,602 2,838 3,105 3,307 55-64 461 593 623 781 853 923 958 957 65-79 486 560 576 745 899 1,123 1,180 1,314 80+ 171 208 217 282 339 374 465 531 13
CITRUS All Races Total 141,236 140,798 142,465 150,923 158,871 166,260 172,689 178,455 0-4 5,537 5,413 5,453 5,477 5,950 6,062 6,465 6,283 5-17 16,857 15,463 15,322 15,655 15,513 16,336 16,937 18,091 18-24 8,021 8,602 8,856 7,943 8,383 8,007 8,226 8,372 25-54 42,279 40,713 40,835 40,645 43,389 44,676 49,406 50,302 55-64 23,501 23,691 24,036 26,467 25,988 23,890 22,796 23,691 65-79 33,463 33,911 34,442 39,839 41,278 46,927 45,386 46,490 80+ 11,578 13,005 13,521 14,897 18,370 20,362 23,473 25,226 Female 72,877 72,851 73,763 78,397 82,502 86,307 89,296 91,950 0-4 2,754 2,661 2,672 2,684 2,916 2,970 3,168 3,078 5-17 8,219 7,609 7,561 7,725 7,644 8,017 8,315 8,878 18-24 3,804 4,125 4,255 3,890 4,115 3,963 4,032 4,098 25-54 21,855 20,759 20,746 20,436 21,556 22,021 24,309 24,718 55-64 12,806 12,835 13,004 13,971 13,576 12,530 11,719 12,002 65-79 16,922 17,743 18,168 21,576 22,625 25,154 24,237 24,462 80+ 6,517 7,119 7,357 8,115 10,070 11,652 13,516 14,714 Non-Hispanic White Total 127,828 126,748 127,995 134,336 140,229 145,666 150,345 154,504 0-4 4,589 4,441 4,457 4,412 4,746 4,751 5,008 4,805 5-17 14,091 12,791 12,619 12,663 12,398 12,913 13,310 14,067 18-24 6,984 7,328 7,503 6,567 6,806 6,455 6,555 6,672 25-54 37,545 35,926 35,948 35,083 37,125 37,914 41,988 42,372 55-64 21,927 21,909 22,168 24,287 23,540 21,195 19,940 20,927 65-79 31,528 31,877 32,347 37,140 38,234 43,180 41,480 41,998 80+ 11,164 12,476 12,953 14,184 17,380 19,258 22,064 23,663 Female 66,008 65,615 66,303 69,810 72,848 75,649 77,785 79,655 0-4 2,283 2,183 2,184 2,162 2,326 2,328 2,454 2,354 5-17 6,881 6,310 6,243 6,257 6,106 6,332 6,530 6,898 18-24 3,330 3,522 3,612 3,234 3,365 3,205 3,215 3,276 25-54 19,411 18,341 18,292 17,672 18,448 18,699 20,668 20,780 55-64 11,904 11,800 11,916 12,758 12,290 11,129 10,227 10,608 65-79 15,911 16,631 17,011 20,014 20,803 22,976 22,048 22,030 80+ 6,288 6,828 7,045 7,713 9,510 10,980 12,643 13,709 Non-Hispanic Black Total 4,177 4,341 4,451 5,017 5,573 6,105 6,570 7,002 0-4 305 309 314 316 323 333 372 371 5-17 972 868 857 887 868 908 931 1,033 18-24 344 427 453 410 427 381 424 414 25-54 1,454 1,419 1,433 1,639 1,801 1,880 2,027 2,165 55-64 432 539 575 671 755 880 898 804 65-79 559 618 642 855 1,051 1,335 1,418 1,618 80+ 111 161 177 239 348 388 500 597 Female 2,042 2,148 2,210 2,529 2,832 3,123 3,339 3,540 0-4 146 147 149 150 153 158 176 176 5-17 465 426 424 432 418 434 446 493 18-24 144 185 199 198 209 181 201 196 25-54 709 671 673 777 864 911 961 1,040 55-64 238 305 327 357 372 454 480 409 65-79 275 325 342 484 620 751 770 844 80+ 65 89 96 131 196 234 305 382 Hispanic Total 6,584 6,930 7,167 8,361 9,531 10,632 11,615 12,529 0-4 531 536 549 594 702 770 851 876 5-17 1,379 1,399 1,437 1,637 1,746 1,943 2,108 2,340 18-24 554 655 691 756 907 932 981 1,026 25-54 2,279 2,402 2,485 2,865 3,326 3,698 4,111 4,405 55-64 767 802 830 1,012 1,181 1,259 1,387 1,453 65-79 834 863 888 1,169 1,244 1,562 1,589 1,847 80+ 240 273 287 328 425 468 588 582 Female 3,316 3,505 3,627 4,244 4,844 5,406 5,890 6,338 0-4 265 264 269 291 344 377 417 429 5-17 659 660 678 790 859 954 1,033 1,149 18-24 262 324 343 346 412 454 479 493 25-54 1,133 1,188 1,226 1,400 1,628 1,788 2,025 2,188 55-64 433 454 470 564 638 638 683 706 65-79 436 465 482 664 727 916 894 1,011 80+ 128 150 159 189 236 279 359 362 14
CLAY All Races Total 190,865 197,403 201,817 224,587 246,980 268,409 288,303 306,137 0-4 11,869 12,249 12,516 13,611 14,907 15,860 17,271 17,512 5-17 38,301 36,857 37,024 39,541 40,546 44,219 46,565 50,451 18-24 16,222 18,684 19,555 19,823 22,154 20,721 22,449 23,169 25-54 79,157 78,281 79,163 85,139 93,342 102,329 111,474 118,401 55-64 23,024 24,630 25,380 30,156 31,600 31,184 30,802 32,244 65-79 17,377 20,930 22,112 28,337 33,673 39,616 41,695 43,214 80+ 4,915 5,772 6,067 7,980 10,758 14,480 18,047 21,146 Female 97,374 100,614 102,842 114,305 125,576 136,304 146,256 155,119 0-4 5,790 5,997 6,133 6,670 7,304 7,771 8,463 8,581 5-17 18,735 18,051 18,140 19,394 19,958 21,777 22,943 24,847 18-24 7,793 8,996 9,415 9,605 10,707 10,040 10,946 11,262 25-54 40,872 40,305 40,735 43,579 47,400 51,336 55,375 58,626 55-64 11,966 12,782 13,166 15,522 16,350 16,475 16,439 16,893 65-79 9,186 11,032 11,649 14,892 17,710 20,673 21,902 22,891 80+ 3,032 3,451 3,604 4,643 6,147 8,232 10,188 12,019 Non-Hispanic White Total 149,966 151,627 154,131 167,075 179,798 191,978 203,276 213,391 0-4 8,553 8,601 8,732 9,253 9,888 10,259 10,959 11,037 5-17 27,927 26,241 26,183 27,224 27,130 29,130 30,204 32,258 18-24 12,175 13,353 13,830 13,654 15,166 13,741 14,686 15,080 25-54 61,789 59,478 59,717 61,659 66,015 71,350 76,746 80,300 55-64 19,610 20,344 20,809 24,080 24,097 22,774 22,317 23,650 65-79 15,432 18,387 19,379 24,052 27,913 31,914 32,730 32,934 80+ 4,480 5,223 5,481 7,153 9,589 12,810 15,634 18,132 Female 76,060 76,815 78,064 84,506 90,852 96,904 102,522 107,529 0-4 4,178 4,212 4,279 4,534 4,845 5,027 5,370 5,408 5-17 13,667 12,869 12,847 13,367 13,371 14,357 14,895 15,901 18-24 5,857 6,408 6,633 6,618 7,294 6,659 7,127 7,321 25-54 31,508 30,249 30,352 31,210 33,262 35,515 37,937 39,482 55-64 10,063 10,449 10,690 12,227 12,218 11,821 11,664 12,220 65-79 8,054 9,550 10,056 12,448 14,451 16,363 16,827 17,037 80+ 2,733 3,078 3,207 4,102 5,411 7,162 8,702 10,160 Non-Hispanic Black Total 19,177 21,002 21,815 25,981 30,169 34,279 37,986 41,308 0-4 1,527 1,653 1,711 1,935 2,155 2,353 2,658 2,685 5-17 4,976 4,880 4,932 5,465 5,820 6,460 6,947 7,739 18-24 1,981 2,549 2,737 2,794 3,074 2,917 3,341 3,410 25-54 8,193 8,701 8,972 10,792 12,445 14,134 15,728 17,331 55-64 1,522 1,898 2,028 2,702 3,489 4,005 3,965 3,990 65-79 786 1,084 1,180 1,917 2,649 3,619 4,204 4,765 80+ 192 237 255 376 537 791 1,143 1,388 Female 9,930 10,859 11,278 13,413 15,560 17,662 19,489 21,107 0-4 756 814 842 948 1,050 1,140 1,288 1,301 5-17 2,415 2,376 2,403 2,662 2,842 3,141 3,385 3,762 18-24 963 1,250 1,344 1,358 1,502 1,426 1,638 1,665 25-54 4,404 4,632 4,767 5,673 6,426 7,207 7,869 8,662 55-64 823 1,006 1,071 1,441 1,899 2,211 2,222 2,159 65-79 432 618 678 1,088 1,513 2,027 2,380 2,691 80+ 137 163 173 243 328 510 707 867 Hispanic Total 14,609 16,905 17,687 21,717 25,680 29,472 33,003 36,168 0-4 1,388 1,528 1,582 1,816 2,129 2,380 2,673 2,800 5-17 3,916 4,233 4,370 5,048 5,561 6,246 6,851 7,598 18-24 1,527 2,014 2,154 2,465 2,846 2,986 3,189 3,421 25-54 6,006 6,759 7,029 8,604 10,219 11,618 13,198 14,369 55-64 993 1,362 1,472 2,099 2,550 2,918 3,049 3,126 65-79 621 800 856 1,388 1,952 2,740 3,198 3,746 80+ 158 209 224 297 423 584 845 1,108 Female 7,418 8,582 8,978 11,015 13,032 14,954 16,761 18,374 0-4 666 746 775 890 1,043 1,166 1,310 1,372 5-17 1,922 2,058 2,123 2,461 2,716 3,073 3,363 3,738 18-24 713 957 1,023 1,177 1,372 1,407 1,551 1,637 25-54 3,112 3,506 3,648 4,413 5,187 5,845 6,548 7,153 55-64 517 708 765 1,104 1,381 1,593 1,700 1,686 65-79 386 467 493 773 1,056 1,506 1,781 2,129 80+ 102 140 151 197 277 364 508 659 15