Monroe County, NY [36055] Demographic Characteristics & Trends
  -- a component of the Rochester, NY metropolitan area [40380] -- 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	744,906	747,461	748,524	750,126	749,803	748,504	747,326	747,642	2,736
Births	...	8,609	8,304	8,523	8,252	8,439	8,062	8,065	8,322
Deaths	...	6,428	6,528	6,484	6,423	6,817	6,597	6,657	6,562
Natural Increase	...	2,181	1,776	2,039	1,829	1,622	1,465	1,408	1,760
Net Migration	...	430	-685	-422	-2,165	-2,943	-2,645	-1,094	-1,361
International	...	2,443	2,577	2,642	2,828	3,013	3,094	3,074	2,810
Domestic	...	-2,013	-3,262	-3,064	-4,993	-5,956	-5,739	-4,168	-4,171

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	744,906	747,461	748,524	750,126	749,803	748,504	747,326	747,642	2,736
Male	359,426	360,915	361,545	362,410	362,050	361,513	360,915	360,998	1,572
Female	385,480	386,546	386,979	387,716	387,753	386,991	386,411	386,644	1,164
Group Quarters	...	26,737	26,679	26,454	26,393	26,310	26,318	26,324	-186

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	744,906	747,461	748,524	750,126	749,803	748,504	747,326	747,642	2,736
White alone	582,082	582,850	582,221	581,987	579,963	577,553	575,360	573,908	-8,174
Black alone	118,296	118,837	119,557	120,202	120,759	120,877	121,047	121,423	3,127
AIAN alone	2,591	2,649	2,709	2,749	2,845	2,897	2,950	3,074	483
Asian alone	25,010	25,603	26,132	26,729	27,263	27,834	28,253	29,053	4,043
NHOPI alone	439	461	468	492	507	507	518	517	78
Two+ Races	16,488	17,061	17,437	17,967	18,466	18,836	19,198	19,667	3,179
Hispanic (any race)	54,323	56,207	57,868	59,585	60,884	62,232	64,029	65,734	11,411

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	747,642	573,908	121,423	3,074	29,053	517	19,667	65,734
Age 0-4	41,466	27,452	9,154	213	1,868	63	2,716	5,982
Age 5-9	42,998	28,222	9,811	169	1,753	39	3,004	6,321
Age 10-14	44,268	29,658	9,958	183	1,782	48	2,639	6,333
Age 15-19	51,198	35,985	10,335	223	2,378	35	2,242	6,200
Age 20-24	52,706	36,983	10,183	212	3,310	36	1,982	5,917
Age 25-29	55,538	39,603	11,147	303	2,859	39	1,587	5,718
Age 30-34	50,214	38,086	8,107	230	2,628	39	1,124	5,054
Age 35-39	44,232	33,650	7,256	187	2,150	42	947	4,494
Age 40-44	39,512	29,921	6,601	218	2,034	34	704	3,954
Age 45-49	46,695	36,419	7,501	269	1,834	29	643	3,611
Age 50-54	51,133	41,368	7,473	188	1,510	34	560	3,205
Age 55-59	54,081	45,174	6,893	195	1,321	21	477	2,687
Age 60-64	48,605	41,563	5,374	143	1,116	26	383	2,069
Age 65-69	40,228	34,707	4,216	114	940	6	245	1,576
Age 70-74	31,090	27,106	3,083	78	641	7	175	1,040
Age 75-79	20,706	17,936	2,113	61	476	7	113	735
Age 80-84	14,538	12,933	1,239	48	246	5	67	461
Age 85 up	18,434	17,142	979	40	207	7	59	377

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Age 0000	8,558	8,591	8,276	8,498	8,247	8,434	8,040	8,050	-508
Age 0101	8,436	8,640	8,698	8,417	8,472	8,278	8,478	8,034	-402
Age 0202	8,697	8,469	8,684	8,775	8,427	8,487	8,343	8,532	-165
Age 0303	8,841	8,758	8,510	8,700	8,796	8,403	8,482	8,389	-452
Age 0404	8,760	8,815	8,722	8,500	8,700	8,660	8,356	8,461	-299
Age 0505	8,693	8,735	8,820	8,714	8,410	8,644	8,702	8,387	-306
Age 0606	8,849	8,730	8,754	8,812	8,670	8,389	8,657	8,772	-77
Age 0707	9,051	8,896	8,724	8,790	8,822	8,694	8,411	8,679	-372
Age 0808	9,043	9,067	8,871	8,742	8,809	8,836	8,728	8,436	-607
Age 0909	9,297	9,061	9,082	8,892	8,756	8,776	8,831	8,724	-573
Age 1010	9,565	9,308	9,045	9,074	8,900	8,745	8,755	8,868	-697
Age 1111	9,532	9,568	9,313	9,088	9,111	8,897	8,703	8,764	-768
Age 1212	9,611	9,546	9,556	9,337	9,118	9,115	8,893	8,733	-878
Age 1313	9,643	9,639	9,536	9,556	9,315	9,095	9,030	8,875	-768
Age 1414	9,781	9,644	9,600	9,562	9,570	9,293	9,074	9,028	-753
Age 1515	10,045	9,818	9,673	9,585	9,482	9,538	9,233	9,050	-995
Age 1616	10,733	10,048	9,828	9,735	9,634	9,533	9,545	9,265	-1,468
Age 1717	11,026	10,798	10,121	9,900	9,808	9,702	9,567	9,622	-1,404
Age 1818	12,562	12,897	12,671	11,995	11,781	11,651	11,611	11,520	-1,042
Age 1919	13,104	12,746	12,875	12,624	12,076	11,841	11,740	11,741	-1,363
Age 2020	12,948	12,119	11,697	11,823	11,622	11,043	10,856	10,747	-2,201
Age 2121	12,331	12,508	11,592	11,196	11,355	11,100	10,552	10,371	-1,960
Age 2222	11,621	11,921	12,154	11,264	10,876	10,898	10,727	10,246	-1,375
Age 2323	10,845	11,505	11,794	12,030	11,052	10,571	10,720	10,563	-282
Age 2424	10,621	11,011	11,530	11,777	12,048	11,121	10,742	10,779	158
Age 2525	10,788	10,837	10,964	11,503	11,698	11,967	11,050	10,780	-8
Age 2626	9,909	10,895	10,893	10,974	11,419	11,557	11,794	11,048	1,139
Age 2727	9,550	9,969	10,887	10,840	10,865	11,250	11,499	11,640	2,090
Age 2828	9,466	9,561	9,892	10,822	10,774	10,710	10,993	11,244	1,778
Age 2929	9,351	9,512	9,508	9,776	10,713	10,618	10,584	10,826	1,475
Age 3030	9,615	9,324	9,513	9,610	9,746	10,578	10,517	10,563	948
Age 3131	8,633	9,753	9,429	9,539	9,560	9,675	10,524	10,476	1,843
Age 3232	8,268	8,621	9,667	9,410	9,428	9,445	9,545	10,392	2,124
Age 3333	8,170	8,201	8,549	9,643	9,335	9,295	9,343	9,461	1,291
Age 3434	7,913	8,173	8,201	8,547	9,555	9,277	9,213	9,322	1,409
Age 3535	8,530	7,951	8,156	8,196	8,494	9,502	9,211	9,213	683
Age 3636	7,853	8,520	7,981	8,155	8,155	8,431	9,477	9,174	1,321
Age 3737	7,929	7,838	8,497	7,932	8,096	8,083	8,344	9,443	1,514
Age 3838	8,485	7,939	7,814	8,522	7,914	8,051	8,029	8,375	-110
Age 3939	9,635	8,433	7,890	7,767	8,408	7,863	7,983	8,027	-1,608
Age 4040	10,381	9,664	8,409	7,875	7,718	8,335	7,804	7,921	-2,460
Age 4141	9,950	10,381	9,662	8,491	7,920	7,729	8,326	7,824	-2,126
Age 4242	9,571	9,912	10,392	9,650	8,462	7,918	7,662	8,311	-1,260
Age 4343	9,704	9,532	9,890	10,303	9,573	8,392	7,815	7,640	-2,064
Age 4444	10,131	9,672	9,515	9,826	10,237	9,523	8,356	7,816	-2,315
Age 4545	11,025	10,079	9,665	9,482	9,772	10,174	9,492	8,306	-2,719
Age 4646	11,153	10,966	10,065	9,653	9,428	9,712	10,125	9,449	-1,704
Age 4747	11,104	11,099	10,926	10,028	9,586	9,356	9,648	10,054	-1,050
Age 4848	11,296	11,042	11,083	10,917	10,022	9,594	9,335	9,630	-1,666
Age 4949	11,486	11,197	10,969	10,965	10,830	9,922	9,504	9,256	-2,230
Age 5050	11,919	11,468	11,162	10,960	10,921	10,777	9,822	9,475	-2,444
Age 5151	11,486	11,812	11,397	11,038	10,860	10,825	10,667	9,778	-1,708
Age 5252	11,277	11,376	11,721	11,353	10,970	10,809	10,739	10,599	-678
Age 5353	11,062	11,219	11,348	11,672	11,291	10,922	10,733	10,673	-389
Age 5454	10,665	10,924	11,117	11,224	11,503	11,141	10,742	10,608	-57
Age 5555	10,796	10,613	10,866	11,059	11,127	11,430	11,056	10,644	-152
Age 5656	10,358	10,634	10,523	10,767	10,925	11,052	11,253	10,954	596
Age 5757	9,883	10,216	10,479	10,390	10,637	10,740	10,861	11,114	1,231
Age 5858	9,651	9,808	10,144	10,436	10,287	10,528	10,671	10,802	1,151
Age 5959	9,328	9,517	9,723	10,078	10,311	10,142	10,420	10,567	1,239
Age 6060	9,119	9,170	9,351	9,580	9,944	10,152	9,973	10,246	1,127
Age 6161	8,725	9,019	9,058	9,231	9,490	9,861	10,032	9,883	1,158
Age 6262	8,641	8,620	8,901	8,972	9,109	9,359	9,720	9,910	1,269
Age 6363	9,185	8,493	8,442	8,707	8,780	8,941	9,197	9,538	353
Age 6464	6,739	9,019	8,299	8,326	8,529	8,624	8,772	9,028	2,289
Age 6565	6,562	6,596	8,871	8,169	8,168	8,339	8,502	8,584	2,022
Age 6666	6,411	6,451	6,521	8,717	8,037	8,027	8,190	8,341	1,930
Age 6767	6,777	6,316	6,323	6,409	8,553	7,899	7,832	8,028	1,251
Age 6868	5,839	6,633	6,180	6,209	6,261	8,343	7,737	7,703	1,864
Age 6969	4,954	5,749	6,514	6,088	6,091	6,183	8,229	7,572	2,618
Age 7070	4,731	4,836	5,639	6,370	5,966	5,937	6,035	8,058	3,327
Age 7171	4,636	4,644	4,747	5,519	6,226	5,825	5,797	5,912	1,276
Age 7272	4,442	4,515	4,541	4,670	5,442	6,113	5,708	5,682	1,240
Age 7373	4,078	4,361	4,430	4,431	4,570	5,329	5,995	5,592	1,514
Age 7474	4,018	3,975	4,254	4,325	4,314	4,440	5,212	5,846	1,828
Age 7575	3,925	3,912	3,854	4,159	4,204	4,190	4,322	5,085	1,160
Age 7676	3,584	3,791	3,777	3,739	4,045	4,090	4,030	4,191	607
Age 7777	3,585	3,479	3,674	3,659	3,623	3,938	3,973	3,913	328
Age 7878	3,520	3,458	3,328	3,548	3,507	3,464	3,805	3,820	300
Age 7979	3,509	3,418	3,352	3,228	3,464	3,406	3,365	3,697	188
Age 8080	3,460	3,352	3,275	3,199	3,063	3,298	3,229	3,196	-264
Age 8181	3,197	3,330	3,193	3,151	3,064	2,953	3,166	3,108	-89
Age 8282	3,171	3,029	3,131	2,979	2,978	2,881	2,804	3,007	-164
Age 8383	3,100	2,984	2,861	2,966	2,867	2,833	2,728	2,666	-434
Age 8484	2,923	2,899	2,792	2,699	2,807	2,673	2,677	2,561	-362
Age 8585	17,561	17,916	18,193	18,287	18,304	18,339	18,383	18,434	873
Age 0517	124,869	122,858	120,923	119,787	118,405	117,257	116,129	115,203	-9,666