Sumter County, FL [12119] Demographic Characteristics & Trends
  -- a component of the The Villages, FL metropolitan area [45540] -- click link to view metro S&O report

This document brings together several 2017 vintage population estimates developed by the Census Bureau for this area developed and released separately in 2018. These official model-based estimates are developed and updated annually. The data presesentation here provides more comprehensive insights into demographic characteristics and trends for this area than available elsewhere. ProximityOne uses these data to develop Situation & Outlook (S&O) estimates and projections to 2060. See related table. Join us in weekly Data Analytics Lab web sessions to discuss organization and use of these and related data. The S&O Trends Analysis package used to develop these tables is available to present/analyze these data with wide-ranging additional detail and alternative data formats.   • Bookmark this page -- http://proximityone.com/trends/cty1706037.htm; share with others.   • View profile for other counties -- http://proximityone.com/countytrends2017.htm; use link in table.

Table 1. Population & Components of Change -- 2010-2017

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	94,279	97,976	101,698	106,942	112,334	117,210	122,121	125,165	30,886
Births	...	443	437	456	468	522	481	494	472
Deaths	...	1,208	1,301	1,371	1,437	1,597	1,847	1,857	1,517
Natural Increase	...	-765	-864	-915	-969	-1,075	-1,366	-1,363	-1,045
Net Migration	...	4,354	4,476	6,072	6,165	5,851	6,266	4,388	5,367
International	...	4	2	1	22	29	31	32	17
Domestic	...	4,350	4,474	6,071	6,143	5,822	6,235	4,356	5,350

Table 2. Population by Gender & Group Quarters Population -- 2010-2017

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	94,279	97,976	101,698	106,942	112,334	117,210	122,121	125,165	30,886
Male	49,008	50,612	52,129	54,555	56,989	59,111	61,192	62,567	13,559
Female	45,271	47,364	49,569	52,387	55,345	58,099	60,929	62,598	17,327
Group Quarters	...	8,859	8,598	8,638	8,298	8,438	8,201	8,012	-894

Table 3. Population by Race/Origin -- 2010-2017

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	94,279	97,976	101,698	106,942	112,334	117,210	122,121	125,165	30,886
White alone	83,262	86,723	90,447	95,405	100,700	105,200	109,978	112,873	29,611
Black alone	9,093	9,195	9,108	9,229	9,197	9,323	9,332	9,351	258
AIAN alone	400	407	427	429	451	495	513	516	116
Asian alone	658	725	765	856	916	1,014	1,073	1,153	495
NHOPI alone	56	59	66	67	69	74	78	80	24
Two+ Races	810	867	885	956	1,001	1,104	1,147	1,192	382
Hispanic (any race)	5,603	5,823	5,925	6,104	6,335	6,638	6,859	7,105	1,502

Table 4. Population by Age by Race/Origin -- 2017

Population	Total	White alone	Black alone	AIAN alone	Asian alone	NHOPI alone	Two+ Races	Hispanic (any race)
Total	125,165	112,873	9,351	516	1,153	80	1,192	7,105
Age 0-4	2,518	1,910	420	21	35	3	129	378
Age 5-9	2,421	1,877	355	21	44	7	117	422
Age 10-14	2,520	1,992	381	12	42	2	91	401
Age 15-19	2,310	1,841	329	15	25	3	97	351
Age 20-24	3,003	2,212	648	18	29	4	92	448
Age 25-29	3,508	2,439	919	45	35	2	68	546
Age 30-34	3,796	2,538	1,075	64	51	3	65	616
Age 35-39	3,815	2,625	1,028	36	80	3	43	644
Age 40-44	3,525	2,545	831	32	52	9	56	563
Age 45-49	3,993	3,165	700	22	67	3	36	459
Age 50-54	4,585	3,874	606	38	43	3	21	392
Age 55-59	6,453	5,755	525	43	73	6	51	342
Age 60-64	11,444	10,784	457	38	103	5	57	323
Age 65-69	20,333	19,701	370	38	130	6	88	439
Age 70-74	22,366	21,785	307	31	144	5	94	342
Age 75-79	15,338	14,963	190	27	107	10	41	239
Age 80-84	8,046	7,829	106	10	71	4	26	107
Age 85 up	5,191	5,038	104	5	22	2	20	93

Table 5. Population by Single Year of Age -- 2010-2017

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Age 0000	427	435	431	452	455	507	470	484	57
Age 0101	427	429	440	434	517	465	550	492	65
Age 0202	463	449	406	444	460	494	470	562	99
Age 0303	466	466	451	417	459	470	488	480	14
Age 0404	455	481	468	462	419	453	487	500	45
Age 0505	483	484	468	484	470	417	481	468	-15
Age 0606	486	478	470	474	484	480	447	480	-6
Age 0707	467	495	490	488	472	495	504	435	-32
Age 0808	436	457	498	497	491	455	508	520	84
Age 0909	467	431	436	498	518	501	474	518	51
Age 1010	478	477	433	456	489	503	509	505	27
Age 1111	454	478	465	433	456	477	510	511	57
Age 1212	461	458	476	463	429	453	488	529	68
Age 1313	468	454	457	482	457	444	458	522	54
Age 1414	492	476	457	452	484	459	459	453	-39
Age 1515	520	515	492	460	453	505	469	476	-44
Age 1616	520	528	487	466	468	467	517	496	-24
Age 1717	517	513	510	498	467	472	459	525	8
Age 1818	502	487	468	472	454	448	431	423	-79
Age 1919	460	449	420	413	429	415	410	390	-70
Age 2020	499	513	526	502	474	516	512	508	9
Age 2121	511	571	567	599	573	566	577	584	73
Age 2222	487	534	572	602	623	608	601	617	130
Age 2323	486	517	560	636	651	661	618	639	153
Age 2424	493	514	563	588	647	650	685	655	162
Age 2525	543	504	528	551	615	628	667	685	142
Age 2626	565	571	532	550	607	635	679	694	129
Age 2727	576	594	595	573	598	629	678	684	108
Age 2828	583	603	624	642	606	628	684	688	105
Age 2929	655	657	679	700	710	688	716	757	102
Age 3030	668	675	661	687	686	728	711	725	57
Age 3131	692	704	696	708	732	723	767	751	59
Age 3232	731	736	733	752	739	766	748	808	77
Age 3333	716	721	703	720	705	747	759	737	21
Age 3434	711	723	729	727	729	746	776	775	64
Age 3535	761	728	754	784	758	783	781	803	42
Age 3636	711	724	682	735	731	726	758	739	28
Age 3737	761	745	757	709	760	768	777	770	9
Age 3838	783	745	717	726	688	753	748	757	-26
Age 3939	783	796	728	739	716	688	734	746	-37
Age 4040	740	745	746	694	692	686	657	712	-28
Age 4141	703	765	787	754	678	740	709	668	-35
Age 4242	704	683	741	785	736	670	699	692	-12
Age 4343	749	738	700	783	811	766	691	736	-13
Age 4444	753	744	727	698	784	829	759	717	-36
Age 4545	780	749	740	710	700	789	804	784	4
Age 4646	837	801	758	768	727	721	838	842	5
Age 4747	814	802	767	757	764	735	722	832	18
Age 4848	821	807	792	778	757	752	729	745	-76
Age 4949	868	874	867	860	856	815	844	790	-78
Age 5050	839	832	827	878	827	838	805	803	-36
Age 5151	860	879	890	890	936	873	891	860	0
Age 5252	912	860	908	914	926	966	925	919	7
Age 5353	897	912	864	924	959	928	989	955	58
Age 5454	932	955	959	893	986	1,012	1,000	1,048	116
Age 5555	1,116	1,000	1,022	1,045	1,010	1,092	1,114	1,087	-29
Age 5656	1,147	1,208	1,124	1,119	1,151	1,102	1,191	1,201	54
Age 5757	1,245	1,211	1,319	1,211	1,197	1,248	1,185	1,263	18
Age 5858	1,401	1,360	1,357	1,497	1,415	1,354	1,408	1,360	-41
Age 5959	1,592	1,531	1,518	1,552	1,663	1,572	1,535	1,542	-50
Age 6060	1,850	1,791	1,763	1,707	1,803	1,874	1,777	1,700	-150
Age 6161	2,107	2,080	2,044	1,998	1,993	2,012	2,099	1,963	-144
Age 6262	2,504	2,377	2,352	2,411	2,380	2,264	2,327	2,376	-128
Age 6363	3,133	2,815	2,714	2,731	2,811	2,760	2,580	2,604	-529
Age 6464	2,480	3,502	3,203	3,135	3,139	3,146	3,101	2,801	321
Age 6565	2,643	2,755	3,974	3,657	3,570	3,516	3,521	3,360	717
Age 6666	3,019	2,858	2,990	4,435	4,052	3,912	3,799	3,735	716
Age 6767	3,336	3,222	3,050	3,277	4,833	4,370	4,208	4,003	667
Age 6868	3,030	3,532	3,401	3,273	3,555	5,210	4,667	4,381	1,351
Age 6969	2,900	3,214	3,753	3,652	3,516	3,763	5,535	4,854	1,954
Age 7070	2,764	3,037	3,339	3,936	3,837	3,675	3,988	5,683	2,919
Age 7171	2,636	2,814	3,142	3,494	4,187	4,056	3,864	4,043	1,407
Age 7272	2,437	2,689	2,916	3,279	3,578	4,344	4,180	3,915	1,478
Age 7373	2,236	2,469	2,719	3,006	3,344	3,709	4,465	4,227	1,991
Age 7474	2,130	2,278	2,478	2,758	3,100	3,422	3,788	4,498	2,368
Age 7575	1,924	2,140	2,274	2,463	2,779	3,109	3,436	3,784	1,860
Age 7676	1,602	1,925	2,128	2,282	2,492	2,789	3,121	3,419	1,817
Age 7777	1,453	1,585	1,909	2,102	2,281	2,474	2,791	3,053	1,600
Age 7878	1,325	1,413	1,532	1,901	2,070	2,260	2,422	2,739	1,414
Age 7979	1,269	1,288	1,372	1,483	1,854	2,015	2,203	2,343	1,074
Age 8080	1,083	1,243	1,239	1,345	1,448	1,793	1,956	2,119	1,036
Age 8181	898	1,028	1,193	1,177	1,296	1,402	1,736	1,870	972
Age 8282	820	849	973	1,142	1,145	1,253	1,345	1,659	839
Age 8383	697	774	792	924	1,069	1,074	1,190	1,267	570
Age 8484	619	663	728	755	871	997	1,023	1,131	512
Age 8585	2,510	2,864	3,178	3,634	4,077	4,506	4,939	5,191	2,681
Age 0517	6,249	6,244	6,139	6,151	6,138	6,128	6,283	6,438	189