Dutchess County, NY [36027] Demographic Characteristics & Trends
  -- a component of the New York-Newark-Jersey City, NY-NJ-PA metropolitan area [35620] -- 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	297,751	298,361	297,423	296,922	296,058	295,309	294,567	295,568	-2,183
Births	...	2,753	2,666	2,745	2,572	2,680	2,608	2,576	2,657
Deaths	...	2,282	2,372	2,402	2,336	2,332	2,512	2,611	2,407
Natural Increase	...	471	294	343	236	348	96	-35	250
Net Migration	...	149	-1,260	-853	-1,114	-1,100	-842	1,051	-567
International	...	906	784	749	755	820	851	850	816
Domestic	...	-757	-2,044	-1,602	-1,869	-1,920	-1,693	201	-1,383

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	297,751	298,361	297,423	296,922	296,058	295,309	294,567	295,568	-2,183
Male	148,222	148,381	147,902	147,586	147,199	146,912	146,596	146,975	-1,247
Female	149,529	149,980	149,521	149,336	148,859	148,397	147,971	148,593	-936
Group Quarters	...	19,916	19,729	19,523	19,498	19,646	19,569	19,577	-382

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	297,751	298,361	297,423	296,922	296,058	295,309	294,567	295,568	-2,183
White alone	247,773	247,375	245,889	244,823	243,574	242,154	240,629	240,423	-7,350
Black alone	31,091	31,651	32,027	32,404	32,665	33,251	33,618	34,457	3,366
AIAN alone	1,335	1,344	1,339	1,351	1,340	1,352	1,359	1,395	60
Asian alone	10,835	11,137	11,180	11,322	11,354	11,357	11,556	11,651	816
NHOPI alone	196	199	206	201	209	210	220	236	40
Two+ Races	6,521	6,655	6,782	6,821	6,916	6,985	7,185	7,406	885
Hispanic (any race)	31,471	32,111	32,627	33,248	33,959	34,498	35,254	36,348	4,877

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	295,568	240,423	34,457	1,395	11,651	236	7,406	36,348
Age 0-4	13,644	10,219	1,919	78	488	14	926	2,579
Age 5-9	14,725	11,096	1,978	108	562	14	967	2,950
Age 10-14	16,666	12,717	2,168	129	771	14	867	3,038
Age 15-19	21,525	16,877	2,516	112	1,071	13	936	3,185
Age 20-24	22,132	17,382	2,887	108	930	21	804	3,217
Age 25-29	18,144	13,868	2,998	108	660	21	489	2,750
Age 30-34	16,425	12,767	2,540	102	665	21	330	2,677
Age 35-39	16,916	13,146	2,505	115	776	18	356	2,906
Age 40-44	17,055	13,250	2,394	120	917	21	353	2,813
Age 45-49	20,365	16,423	2,635	81	885	14	327	2,535
Age 50-54	23,356	19,577	2,548	84	847	19	281	2,326
Age 55-59	23,880	20,573	2,274	74	717	12	230	1,821
Age 60-64	20,464	17,786	1,629	73	794	11	171	1,300
Age 65-69	16,025	14,114	1,167	44	570	3	127	820
Age 70-74	12,566	11,113	923	19	413	9	89	589
Age 75-79	8,525	7,546	608	17	293	5	56	319
Age 80-84	6,221	5,599	385	13	174	1	49	260
Age 85 up	6,934	6,370	383	10	118	5	48	263

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Age 0000	2,952	2,763	2,686	2,748	2,580	2,690	2,626	2,589	-363
Age 0101	2,874	3,029	2,779	2,720	2,787	2,617	2,700	2,706	-168
Age 0202	3,033	2,919	3,041	2,815	2,787	2,782	2,660	2,782	-251
Age 0303	3,148	3,066	2,926	3,027	2,810	2,810	2,786	2,708	-440
Age 0404	3,218	3,159	3,075	2,887	3,029	2,860	2,825	2,859	-359
Age 0505	3,290	3,270	3,160	3,051	2,861	3,043	2,895	2,882	-408
Age 0606	3,433	3,271	3,269	3,169	3,058	2,857	3,023	2,937	-496
Age 0707	3,542	3,415	3,244	3,263	3,135	3,047	2,846	3,006	-536
Age 0808	3,569	3,547	3,444	3,208	3,238	3,172	3,026	2,865	-704
Age 0909	3,702	3,582	3,552	3,434	3,197	3,182	3,157	3,035	-667
Age 1010	3,758	3,687	3,584	3,524	3,439	3,180	3,188	3,203	-555
Age 1111	3,804	3,767	3,690	3,552	3,529	3,402	3,194	3,207	-597
Age 1212	3,891	3,774	3,774	3,678	3,534	3,484	3,384	3,232	-659
Age 1313	4,039	3,942	3,789	3,778	3,714	3,565	3,515	3,436	-603
Age 1414	4,096	4,045	3,968	3,799	3,799	3,712	3,579	3,588	-508
Age 1515	4,317	4,165	4,099	4,017	3,855	3,865	3,776	3,672	-645
Age 1616	4,412	4,352	4,197	4,130	4,040	3,849	3,885	3,786	-626
Age 1717	4,582	4,484	4,421	4,282	4,173	4,109	3,915	3,959	-623
Age 1818	5,296	5,362	5,256	5,114	5,008	4,923	4,857	4,718	-578
Age 1919	5,764	5,795	5,794	5,713	5,598	5,519	5,447	5,390	-374
Age 2020	5,483	5,424	5,466	5,480	5,409	5,275	5,233	5,160	-323
Age 2121	5,014	5,082	4,983	5,056	5,082	5,013	4,877	4,847	-167
Age 2222	4,274	4,432	4,485	4,453	4,514	4,537	4,465	4,310	36
Age 2323	3,466	3,739	3,836	3,955	3,901	3,919	3,995	3,860	394
Age 2424	3,428	3,433	3,705	3,839	3,931	3,901	3,875	3,955	527
Age 2525	3,423	3,380	3,349	3,619	3,717	3,813	3,771	3,768	345
Age 2626	3,107	3,407	3,300	3,282	3,463	3,594	3,705	3,686	579
Age 2727	3,138	3,097	3,385	3,288	3,230	3,424	3,523	3,712	574
Age 2828	3,249	3,128	3,123	3,302	3,229	3,251	3,442	3,533	284
Age 2929	3,179	3,254	3,110	3,122	3,242	3,221	3,221	3,445	266
Age 3030	3,307	3,221	3,286	3,146	3,131	3,304	3,267	3,309	2
Age 3131	3,089	3,349	3,214	3,229	3,125	3,141	3,286	3,288	199
Age 3232	3,104	3,156	3,373	3,214	3,222	3,149	3,165	3,325	221
Age 3333	3,095	3,152	3,187	3,352	3,234	3,242	3,170	3,224	129
Age 3434	3,139	3,115	3,084	3,189	3,405	3,229	3,279	3,279	140
Age 3535	3,269	3,220	3,158	3,101	3,208	3,446	3,267	3,349	80
Age 3636	3,254	3,307	3,182	3,140	3,118	3,278	3,500	3,341	87
Age 3737	3,335	3,297	3,340	3,209	3,165	3,135	3,337	3,592	257
Age 3838	3,529	3,342	3,278	3,348	3,239	3,139	3,166	3,377	-152
Age 3939	4,041	3,576	3,374	3,307	3,399	3,215	3,218	3,257	-784
Age 4040	4,354	4,081	3,605	3,430	3,341	3,482	3,246	3,335	-1,019
Age 4141	4,229	4,367	4,070	3,616	3,452	3,335	3,479	3,325	-904
Age 4242	4,249	4,212	4,343	4,063	3,575	3,442	3,316	3,475	-774
Age 4343	4,409	4,313	4,231	4,400	4,092	3,605	3,499	3,400	-1,009
Age 4444	4,712	4,389	4,260	4,244	4,359	4,100	3,576	3,520	-1,192
Age 4545	5,050	4,762	4,388	4,276	4,236	4,337	4,120	3,615	-1,435
Age 4646	5,060	5,031	4,723	4,399	4,257	4,241	4,340	4,110	-950
Age 4747	5,128	5,030	4,992	4,709	4,386	4,219	4,220	4,325	-803
Age 4848	5,083	5,091	4,953	4,945	4,647	4,306	4,151	4,177	-906
Age 4949	5,193	5,109	5,081	4,986	4,921	4,627	4,296	4,138	-1,055
Age 5050	5,280	5,182	5,054	5,043	4,923	4,883	4,589	4,288	-992
Age 5151	5,026	5,272	5,173	5,000	5,018	4,885	4,840	4,589	-437
Age 5252	4,888	4,941	5,167	5,090	4,907	4,947	4,827	4,763	-125
Age 5353	4,854	4,876	4,917	5,163	5,085	4,892	4,915	4,824	-30
Age 5454	4,635	4,807	4,849	4,893	5,131	5,057	4,878	4,892	257
Age 5555	4,546	4,555	4,726	4,765	4,817	5,057	4,985	4,809	263
Age 5656	4,340	4,511	4,505	4,676	4,685	4,760	4,989	4,943	603
Age 5757	4,093	4,307	4,465	4,473	4,624	4,638	4,704	4,951	858
Age 5858	3,823	4,049	4,255	4,382	4,388	4,564	4,570	4,650	827
Age 5959	3,739	3,812	3,999	4,212	4,352	4,345	4,543	4,527	788
Age 6060	3,525	3,683	3,768	3,929	4,169	4,277	4,257	4,528	1,003
Age 6161	3,398	3,473	3,659	3,729	3,882	4,053	4,189	4,209	811
Age 6262	3,529	3,339	3,409	3,607	3,673	3,792	3,987	4,145	616
Age 6363	3,745	3,440	3,292	3,364	3,543	3,581	3,710	3,919	174
Age 6464	2,714	3,689	3,358	3,221	3,311	3,493	3,505	3,663	949
Age 6565	2,632	2,660	3,604	3,303	3,171	3,260	3,439	3,457	825
Age 6666	2,638	2,622	2,617	3,518	3,273	3,123	3,207	3,377	739
Age 6767	2,686	2,585	2,537	2,566	3,428	3,205	3,030	3,137	451
Age 6868	2,283	2,660	2,552	2,532	2,539	3,364	3,159	2,988	705
Age 6969	2,081	2,207	2,570	2,489	2,461	2,463	3,243	3,066	985
Age 7070	1,988	2,057	2,205	2,559	2,457	2,438	2,436	3,206	1,218
Age 7171	1,957	1,976	2,031	2,175	2,501	2,414	2,385	2,390	433
Age 7272	1,870	1,913	1,926	1,983	2,138	2,458	2,355	2,324	454
Age 7373	1,747	1,831	1,862	1,883	1,945	2,087	2,392	2,304	557
Age 7474	1,689	1,703	1,799	1,824	1,832	1,901	2,034	2,342	653
Age 7575	1,536	1,629	1,635	1,745	1,756	1,767	1,809	1,946	410
Age 7676	1,529	1,484	1,569	1,584	1,695	1,691	1,727	1,756	227
Age 7777	1,530	1,498	1,448	1,516	1,555	1,650	1,627	1,675	145
Age 7878	1,516	1,514	1,475	1,416	1,506	1,531	1,627	1,595	79
Age 7979	1,448	1,446	1,419	1,406	1,350	1,439	1,446	1,553	105
Age 8080	1,363	1,384	1,366	1,373	1,347	1,305	1,372	1,388	25
Age 8181	1,193	1,285	1,310	1,317	1,325	1,299	1,224	1,329	136
Age 8282	1,159	1,162	1,239	1,248	1,278	1,264	1,237	1,186	27
Age 8383	1,093	1,093	1,085	1,154	1,180	1,205	1,202	1,175	82
Age 8484	954	1,033	1,036	1,035	1,082	1,111	1,128	1,143	189
Age 8585	5,614	5,793	5,930	6,141	6,330	6,522	6,711	6,934	1,320
Age 0517	50,435	49,301	48,191	46,885	45,572	44,467	43,383	42,808	-7,627