Montgomery County, OH [39113] Demographic Characteristics & Trends
  -- a component of the Dayton, OH metropolitan area [19380] -- 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	535,564	534,415	534,168	533,713	531,992	531,293	531,395	531,542	-4,022
Births	...	6,560	6,775	6,708	6,631	6,646	6,660	6,576	6,651
Deaths	...	5,693	5,630	5,877	5,867	6,047	6,067	5,883	5,866
Natural Increase	...	867	1,145	831	764	599	593	693	785
Net Migration	...	-2,007	-1,362	-1,260	-2,478	-1,258	-479	-525	-1,338
International	...	775	902	916	1,093	1,205	1,177	1,131	1,028
Domestic	...	-2,782	-2,264	-2,176	-3,571	-2,463	-1,656	-1,656	-2,367

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	535,564	534,415	534,168	533,713	531,992	531,293	531,395	531,542	-4,022
Male	257,266	256,699	256,913	256,817	255,900	255,897	256,012	256,171	-1,095
Female	278,298	277,716	277,255	276,896	276,092	275,396	275,383	275,371	-2,927
Group Quarters	...	14,569	14,789	15,078	14,820	14,960	15,214	14,951	449

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	535,564	534,415	534,168	533,713	531,992	531,293	531,395	531,542	-4,022
White alone	399,447	397,910	396,842	395,564	393,227	391,609	390,569	389,620	-9,827
Black alone	112,881	112,729	112,750	112,853	112,733	112,842	113,097	113,505	624
AIAN alone	1,352	1,345	1,375	1,400	1,404	1,427	1,432	1,453	101
Asian alone	9,635	9,834	10,259	10,556	10,885	11,292	11,868	12,203	2,568
NHOPI alone	224	239	248	263	274	293	313	346	122
Two+ Races	12,025	12,358	12,694	13,077	13,469	13,830	14,116	14,415	2,390
Hispanic (any race)	12,296	12,670	13,158	13,474	13,812	14,353	14,963	15,655	3,359

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	531,542	389,620	113,505	1,453	12,203	346	14,415	15,655
Age 0-4	32,714	21,439	8,263	135	675	28	2,174	1,700
Age 5-9	32,291	20,936	8,354	82	755	22	2,142	1,626
Age 10-14	32,561	21,590	8,153	79	761	15	1,963	1,582
Age 15-19	33,996	23,024	8,393	105	781	23	1,670	1,524
Age 20-24	35,276	24,519	8,378	119	962	61	1,237	1,326
Age 25-29	37,709	26,490	9,009	92	1,006	31	1,081	1,260
Age 30-34	33,862	24,866	6,975	83	1,167	26	745	1,157
Age 35-39	32,036	23,425	6,791	98	1,010	41	671	1,116
Age 40-44	28,241	20,651	5,975	90	938	11	576	996
Age 45-49	32,304	24,300	6,636	90	772	10	496	831
Age 50-54	34,582	26,400	6,894	116	745	15	412	720
Age 55-59	37,483	28,869	7,499	100	615	18	382	578
Age 60-64	34,807	27,237	6,522	103	642	13	290	405
Age 65-69	29,967	23,713	5,424	55	530	11	234	281
Age 70-74	22,593	18,301	3,724	46	377	7	138	197
Age 75-79	16,151	13,174	2,632	27	227	6	85	135
Age 80-84	11,681	9,544	1,935	22	119	6	55	94
Age 85 up	13,288	11,142	1,948	11	121	2	64	127

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Age 0000	6,730	6,489	6,702	6,655	6,571	6,618	6,609	6,534	-196
Age 0101	6,601	6,688	6,482	6,603	6,647	6,427	6,579	6,593	-8
Age 0202	6,703	6,571	6,701	6,449	6,543	6,596	6,389	6,560	-143
Age 0303	6,791	6,691	6,546	6,719	6,434	6,575	6,648	6,397	-394
Age 0404	6,640	6,802	6,677	6,520	6,629	6,401	6,530	6,630	-10
Age 0505	6,610	6,619	6,723	6,697	6,444	6,546	6,378	6,495	-115
Age 0606	6,651	6,619	6,625	6,726	6,650	6,453	6,503	6,313	-338
Age 0707	6,616	6,633	6,578	6,598	6,689	6,675	6,392	6,556	-60
Age 0808	6,734	6,574	6,590	6,517	6,546	6,686	6,608	6,382	-352
Age 0909	6,942	6,687	6,571	6,609	6,527	6,499	6,634	6,545	-397
Age 1010	6,988	6,933	6,675	6,567	6,564	6,482	6,468	6,653	-335
Age 1111	6,952	6,942	6,914	6,633	6,505	6,531	6,446	6,496	-456
Age 1212	6,861	6,901	6,941	6,878	6,609	6,493	6,500	6,438	-423
Age 1313	6,743	6,814	6,876	6,906	6,839	6,611	6,492	6,476	-267
Age 1414	6,786	6,769	6,830	6,833	6,862	6,832	6,623	6,498	-288
Age 1515	7,021	6,737	6,776	6,855	6,878	6,866	6,838	6,640	-381
Age 1616	7,252	6,961	6,697	6,751	6,808	6,872	6,917	6,795	-457
Age 1717	7,447	7,254	7,016	6,815	6,811	6,907	6,986	7,014	-433
Age 1818	7,433	7,097	7,030	6,785	6,512	6,592	6,655	6,659	-774
Age 1919	7,742	7,576	7,300	7,316	6,955	6,790	6,918	6,888	-854
Age 2020	7,822	7,849	7,679	7,407	7,345	7,052	6,958	6,965	-857
Age 2121	7,430	7,702	7,712	7,591	7,208	7,179	6,895	6,774	-656
Age 2222	7,272	7,595	7,861	8,017	7,733	7,449	7,431	7,104	-168
Age 2323	6,885	7,027	7,260	7,566	7,710	7,392	7,170	7,114	229
Age 2424	6,941	6,864	7,006	7,305	7,522	7,664	7,547	7,319	378
Age 2525	7,032	7,030	7,067	7,043	7,397	7,594	7,728	7,590	558
Age 2626	6,907	7,082	7,047	7,030	7,056	7,423	7,699	7,829	922
Age 2727	7,001	6,920	7,028	6,950	7,025	7,079	7,363	7,770	769
Age 2828	7,054	6,991	6,876	7,027	6,901	6,924	7,074	7,391	337
Age 2929	7,011	6,999	6,994	6,779	6,989	6,925	6,935	7,129	118
Age 3030	7,167	6,971	6,942	6,986	6,653	7,005	6,897	6,981	-186
Age 3131	6,713	7,166	6,825	6,873	6,827	6,674	6,938	6,839	126
Age 3232	6,365	6,623	7,064	6,744	6,691	6,701	6,602	6,924	559
Age 3333	6,183	6,339	6,554	6,959	6,627	6,615	6,590	6,525	342
Age 3434	5,892	6,125	6,341	6,519	6,856	6,574	6,530	6,593	701
Age 3535	5,956	5,752	6,040	6,218	6,344	6,765	6,556	6,512	556
Age 3636	5,930	5,912	5,758	5,988	6,156	6,319	6,736	6,530	600
Age 3737	6,062	5,844	5,890	5,735	5,886	6,071	6,342	6,695	633
Age 3838	6,470	5,957	5,801	5,816	5,626	5,839	6,058	6,309	-161
Age 3939	7,048	6,409	5,943	5,738	5,769	5,623	5,813	5,990	-1,058
Age 4040	7,033	6,963	6,340	5,912	5,650	5,738	5,580	5,752	-1,281
Age 4141	6,727	6,916	6,934	6,288	5,922	5,604	5,709	5,523	-1,204
Age 4242	6,583	6,585	6,835	6,960	6,216	5,841	5,570	5,677	-906
Age 4343	6,684	6,497	6,551	6,768	6,938	6,225	5,809	5,510	-1,174
Age 4444	6,817	6,661	6,419	6,533	6,748	6,876	6,181	5,779	-1,038
Age 4545	7,319	6,789	6,628	6,358	6,498	6,708	6,817	6,158	-1,161
Age 4646	7,670	7,298	6,793	6,646	6,374	6,476	6,686	6,817	-853
Age 4747	7,630	7,662	7,320	6,811	6,577	6,337	6,490	6,677	-953
Age 4848	7,803	7,552	7,566	7,211	6,767	6,509	6,214	6,470	-1,333
Age 4949	8,209	7,730	7,504	7,506	7,170	6,743	6,489	6,182	-2,027
Age 5050	8,123	8,148	7,702	7,466	7,447	7,128	6,673	6,442	-1,681
Age 5151	7,997	8,043	8,081	7,616	7,403	7,374	7,057	6,622	-1,375
Age 5252	8,057	7,957	7,947	7,998	7,539	7,332	7,318	7,009	-1,048
Age 5353	7,999	7,980	7,895	7,913	7,943	7,478	7,284	7,308	-691
Age 5454	7,821	7,913	7,862	7,796	7,832	7,873	7,371	7,201	-620
Age 5555	7,734	7,742	7,786	7,819	7,695	7,669	7,795	7,229	-505
Age 5656	7,448	7,614	7,640	7,694	7,773	7,608	7,609	7,751	303
Age 5757	7,289	7,370	7,541	7,547	7,591	7,691	7,541	7,535	246
Age 5858	6,933	7,183	7,260	7,438	7,432	7,508	7,577	7,439	506
Age 5959	6,892	6,886	7,099	7,141	7,375	7,370	7,435	7,529	637
Age 6060	6,740	6,823	6,783	7,000	7,068	7,269	7,273	7,356	616
Age 6161	6,745	6,641	6,703	6,672	6,923	6,921	7,173	7,177	432
Age 6262	6,744	6,601	6,548	6,587	6,575	6,811	6,861	7,021	277
Age 6363	7,023	6,639	6,537	6,420	6,518	6,469	6,653	6,740	-283
Age 6464	4,970	6,905	6,512	6,324	6,268	6,387	6,357	6,513	1,543
Age 6565	4,808	4,866	6,785	6,394	6,227	6,145	6,269	6,232	1,424
Age 6666	4,778	4,699	4,772	6,632	6,289	6,084	6,007	6,142	1,364
Age 6767	5,045	4,646	4,621	4,653	6,468	6,140	5,949	5,897	852
Age 6868	4,491	4,912	4,548	4,511	4,539	6,341	5,997	5,828	1,337
Age 6969	4,086	4,396	4,795	4,444	4,385	4,424	6,232	5,868	1,782
Age 7070	3,898	3,961	4,296	4,685	4,322	4,282	4,308	6,062	2,164
Age 7171	3,745	3,826	3,863	4,229	4,573	4,197	4,208	4,236	491
Age 7272	3,727	3,655	3,728	3,769	4,136	4,468	4,115	4,116	389
Age 7373	3,477	3,606	3,563	3,635	3,662	4,007	4,331	3,975	498
Age 7474	3,442	3,347	3,491	3,457	3,493	3,553	3,884	4,204	762
Age 7575	3,387	3,343	3,257	3,416	3,381	3,411	3,478	3,797	410
Age 7676	3,040	3,224	3,204	3,123	3,246	3,254	3,276	3,310	270
Age 7777	3,019	2,962	3,150	3,065	3,023	3,160	3,142	3,162	143
Age 7878	3,015	2,885	2,847	3,011	2,960	2,887	3,048	3,015	0
Age 7979	2,827	2,845	2,713	2,697	2,863	2,791	2,729	2,867	40
Age 8080	2,830	2,694	2,713	2,584	2,581	2,708	2,678	2,596	-234
Age 8181	2,624	2,677	2,531	2,589	2,456	2,459	2,559	2,533	-91
Age 8282	2,494	2,444	2,479	2,323	2,378	2,277	2,283	2,384	-110
Age 8383	2,378	2,393	2,311	2,395	2,223	2,263	2,167	2,183	-195
Age 8484	2,189	2,183	2,187	2,108	2,191	2,013	2,056	1,985	-204
Age 8585	11,890	12,239	12,590	12,846	13,010	13,165	13,182	13,288	1,398
Age 0517	89,603	88,443	87,812	87,385	86,732	86,453	85,785	85,301	-4,302