New Haven County, CT [09009] Demographic Characteristics & Trends
  -- a component of the New Haven-Milford, CT metropolitan area [35300] -- 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	863,618	864,725	865,335	864,558	864,073	861,594	859,973	860,435	-3,183
Births	...	9,265	9,047	8,912	8,990	8,886	8,723	8,650	8,925
Deaths	...	7,568	7,581	7,592	7,682	7,882	7,843	7,635	7,683
Natural Increase	...	1,697	1,466	1,320	1,308	1,004	880	1,015	1,241
Net Migration	...	-568	-848	-2,126	-1,815	-3,537	-2,508	-564	-1,709
International	...	3,521	3,559	3,659	3,954	4,246	4,332	4,323	3,942
Domestic	...	-4,089	-4,407	-5,785	-5,769	-7,783	-6,840	-4,887	-5,651

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	863,618	864,725	865,335	864,558	864,073	861,594	859,973	860,435	-3,183
Male	415,722	416,562	416,866	416,483	416,489	415,517	414,832	415,320	-402
Female	447,896	448,163	448,469	448,075	447,584	446,077	445,141	445,115	-2,781
Group Quarters	...	30,357	29,883	29,692	29,781	29,259	29,317	29,328	-591

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	863,618	864,725	865,335	864,558	864,073	861,594	859,973	860,435	-3,183
White alone	691,681	690,268	688,120	684,811	681,848	676,888	672,765	670,138	-21,543
Black alone	118,191	119,106	120,116	121,433	122,366	123,461	124,965	126,781	8,590
AIAN alone	3,860	4,012	4,111	4,208	4,334	4,447	4,460	4,573	713
Asian alone	31,572	32,567	33,929	34,372	35,264	36,033	36,553	37,258	5,686
NHOPI alone	791	810	793	805	830	863	858	885	94
Two+ Races	17,523	17,962	18,266	18,929	19,431	19,902	20,372	20,800	3,277
Hispanic (any race)	130,634	134,308	137,944	141,597	144,852	148,115	151,542	156,118	25,484

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	860,435	670,138	126,781	4,573	37,258	885	20,800	156,118
Age 0-4	44,544	31,506	7,965	365	1,926	66	2,716	13,390
Age 5-9	46,857	32,844	8,878	339	2,039	56	2,701	14,068
Age 10-14	50,920	36,314	9,307	350	2,388	74	2,487	14,290
Age 15-19	58,900	42,772	10,472	371	2,807	79	2,399	14,148
Age 20-24	60,395	44,028	10,775	318	3,124	70	2,080	13,605
Age 25-29	58,344	41,588	10,966	388	3,714	69	1,619	13,136
Age 30-34	56,323	41,881	9,168	388	3,477	78	1,331	12,210
Age 35-39	51,898	38,861	8,486	375	2,982	71	1,123	12,108
Age 40-44	48,591	36,683	7,709	320	2,862	75	942	10,768
Age 45-49	56,888	44,103	8,661	296	2,929	74	825	9,722
Age 50-54	61,719	49,444	8,780	261	2,505	54	675	8,219
Age 55-59	63,435	53,131	7,503	260	1,883	45	613	6,697
Age 60-64	55,989	48,101	5,699	190	1,545	30	424	4,739
Age 65-69	45,677	39,735	4,260	111	1,206	25	340	3,353
Age 70-74	36,056	31,698	3,217	92	818	9	222	2,397
Age 75-79	23,923	20,944	2,249	68	520	3	139	1,495
Age 80-84	17,133	15,324	1,404	33	289	1	82	908
Age 85 up	22,843	21,181	1,282	48	244	6	82	865

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Age 0000	9,189	9,255	9,041	8,932	9,005	8,899	8,728	8,662	-527
Age 0101	9,310	9,205	9,393	8,987	9,052	8,986	8,868	8,734	-576
Age 0202	9,902	9,302	9,259	9,366	8,994	9,139	9,020	8,988	-914
Age 0303	9,930	9,867	9,301	9,211	9,347	8,939	9,113	9,037	-893
Age 0404	10,066	9,924	9,857	9,268	9,146	9,298	8,914	9,123	-943
Age 0505	10,160	9,986	9,907	9,916	9,299	9,119	9,346	9,027	-1,133
Age 0606	10,213	10,083	10,005	9,879	9,904	9,296	9,141	9,382	-831
Age 0707	10,375	10,188	10,073	10,032	9,871	9,895	9,229	9,225	-1,150
Age 0808	10,323	10,344	10,247	10,067	10,025	9,910	9,892	9,298	-1,025
Age 0909	10,532	10,332	10,369	10,267	10,148	9,987	9,913	9,925	-607
Age 1010	11,040	10,499	10,371	10,353	10,225	10,091	9,965	9,965	-1,075
Age 1111	11,104	11,082	10,543	10,372	10,355	10,267	10,087	9,993	-1,111
Age 1212	11,153	11,174	11,181	10,567	10,391	10,384	10,273	10,168	-985
Age 1313	11,429	11,150	11,199	11,151	10,571	10,451	10,444	10,331	-1,098
Age 1414	11,415	11,502	11,113	11,232	11,232	10,616	10,491	10,463	-952
Age 1515	11,795	11,410	11,480	11,122	11,264	11,219	10,632	10,570	-1,225
Age 1616	11,989	11,817	11,396	11,516	11,154	11,300	11,283	10,716	-1,273
Age 1717	12,268	12,056	11,973	11,523	11,657	11,300	11,420	11,458	-810
Age 1818	13,292	13,806	13,535	13,412	13,111	13,147	12,860	12,999	-293
Age 1919	13,317	13,776	13,996	13,761	13,747	13,262	13,389	13,157	-160
Age 2020	12,920	13,144	13,384	13,693	13,490	13,315	13,016	13,032	112
Age 2121	12,120	12,335	12,338	12,731	13,110	12,680	12,660	12,352	232
Age 2222	11,725	11,362	11,524	11,501	11,844	12,165	11,768	11,818	93
Age 2323	11,554	11,473	11,045	11,081	11,117	11,386	11,710	11,401	-153
Age 2424	11,591	11,561	11,573	11,071	11,235	11,101	11,421	11,792	201
Age 2525	11,636	11,721	11,616	11,688	11,113	11,363	11,290	11,578	-58
Age 2626	11,252	11,787	11,826	11,743	11,815	11,336	11,608	11,610	358
Age 2727	11,311	11,229	11,743	11,822	11,800	11,842	11,456	11,761	450
Age 2828	11,278	11,335	11,175	11,690	11,786	11,788	11,863	11,559	281
Age 2929	10,789	11,272	11,370	11,138	11,675	11,660	11,796	11,836	1,047
Age 3030	11,103	10,840	11,186	11,281	11,063	11,580	11,439	11,703	600
Age 3131	10,536	11,103	10,821	11,178	11,146	11,055	11,538	11,389	853
Age 3232	10,293	10,446	10,980	10,765	11,151	11,114	11,003	11,507	1,214
Age 3333	10,218	10,264	10,410	10,815	10,621	10,989	10,897	10,870	652
Age 3434	9,923	10,238	10,220	10,353	10,725	10,515	10,943	10,854	931
Age 3535	10,129	9,819	10,286	10,187	10,302	10,668	10,476	10,833	704
Age 3636	9,753	10,028	9,877	10,164	10,131	10,302	10,621	10,402	649
Age 3737	10,078	9,716	10,016	9,750	10,098	10,083	10,249	10,518	440
Age 3838	10,769	10,033	9,711	9,978	9,647	10,007	9,961	10,191	-578
Age 3939	11,743	10,795	10,039	9,674	9,973	9,609	9,985	9,954	-1,789
Age 4040	12,320	11,685	10,739	9,955	9,593	9,842	9,504	9,935	-2,385
Age 4141	11,970	12,249	11,677	10,730	9,976	9,535	9,725	9,526	-2,444
Age 4242	11,850	11,953	12,212	11,667	10,684	9,899	9,516	9,700	-2,150
Age 4343	12,138	11,841	11,952	12,250	11,635	10,637	9,934	9,570	-2,568
Age 4444	12,558	12,049	11,797	11,882	12,172	11,485	10,494	9,860	-2,698
Age 4545	13,087	12,552	12,049	11,773	11,892	12,054	11,465	10,516	-2,571
Age 4646	13,210	13,007	12,473	11,982	11,678	11,815	11,919	11,412	-1,798
Age 4747	13,256	13,192	12,941	12,385	11,869	11,552	11,710	11,835	-1,421
Age 4848	13,170	13,238	13,177	12,915	12,284	11,787	11,470	11,703	-1,467
Age 4949	13,627	13,056	13,188	13,118	12,917	12,209	11,722	11,422	-2,205
Age 5050	13,728	13,562	13,000	13,107	13,029	12,818	12,121	11,655	-2,073
Age 5151	13,417	13,688	13,552	12,963	13,072	12,896	12,763	12,073	-1,344
Age 5252	13,381	13,341	13,613	13,484	12,859	12,888	12,759	12,618	-763
Age 5353	13,046	13,306	13,221	13,512	13,410	12,757	12,721	12,759	-287
Age 5454	12,676	12,951	13,195	13,118	13,369	13,226	12,618	12,614	-62
Age 5555	12,323	12,588	12,850	13,088	12,937	13,267	13,112	12,506	183
Age 5656	11,832	12,294	12,531	12,750	12,914	12,811	13,176	12,951	1,119
Age 5757	11,379	11,703	12,148	12,408	12,565	12,785	12,642	12,949	1,570
Age 5858	10,907	11,298	11,611	12,100	12,313	12,438	12,691	12,517	1,610
Age 5959	10,524	10,786	11,191	11,494	11,949	12,134	12,214	12,512	1,988
Age 6060	10,147	10,387	10,633	10,994	11,290	11,759	11,860	11,980	1,833
Age 6161	10,111	10,056	10,283	10,523	10,885	11,148	11,635	11,690	1,579
Age 6262	10,202	9,953	9,905	10,063	10,308	10,685	10,910	11,415	1,213
Age 6363	10,813	10,039	9,795	9,737	9,859	10,082	10,484	10,679	-134
Age 6464	7,956	10,587	9,842	9,621	9,608	9,633	9,864	10,225	2,269
Age 6565	7,688	7,799	10,352	9,654	9,425	9,424	9,416	9,694	2,006
Age 6666	7,631	7,553	7,665	10,171	9,434	9,244	9,235	9,244	1,613
Age 6767	8,080	7,459	7,399	7,509	9,979	9,243	9,041	9,049	969
Age 6868	6,774	7,951	7,330	7,242	7,371	9,716	9,031	8,869	2,095
Age 6969	5,835	6,608	7,730	7,133	7,011	7,185	9,434	8,821	2,986
Age 7070	5,635	5,714	6,480	7,573	6,986	6,869	7,041	9,265	3,630
Age 7171	5,251	5,536	5,565	6,338	7,411	6,804	6,707	6,877	1,626
Age 7272	5,103	5,133	5,422	5,464	6,184	7,218	6,667	6,556	1,453
Age 7373	4,638	4,979	5,021	5,300	5,325	6,025	7,025	6,484	1,846
Age 7474	4,593	4,550	4,901	4,883	5,192	5,183	5,874	6,874	2,281
Age 7575	4,651	4,470	4,405	4,760	4,763	5,031	5,031	5,708	1,057
Age 7676	4,343	4,499	4,364	4,277	4,651	4,616	4,892	4,861	518
Age 7777	4,278	4,204	4,380	4,246	4,157	4,547	4,500	4,765	487
Age 7878	4,165	4,117	4,040	4,190	4,110	3,987	4,374	4,341	176
Age 7979	4,185	4,002	3,995	3,913	4,033	3,964	3,838	4,248	63
Age 8080	4,116	4,034	3,832	3,842	3,742	3,839	3,809	3,701	-415
Age 8181	4,011	3,903	3,840	3,624	3,663	3,555	3,658	3,605	-406
Age 8282	3,951	3,802	3,758	3,689	3,438	3,503	3,390	3,497	-454
Age 8383	3,767	3,707	3,567	3,536	3,491	3,224	3,304	3,200	-567
Age 8484	3,532	3,502	3,478	3,362	3,309	3,334	3,040	3,130	-402
Age 8585	22,240	22,583	22,857	22,996	22,991	22,878	22,929	22,843	603
Age 0517	143,796	141,623	139,857	137,997	136,096	133,835	132,116	130,521	-13,275