York County, PA [42133] Demographic Characteristics & Trends
  -- a component of the York-Hanover, PA metropolitan area [49620] -- 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	435,426	436,702	437,483	438,926	440,444	441,822	443,809	446,078	10,652
Births	...	5,004	4,838	4,758	4,936	4,937	4,881	4,891	4,892
Deaths	...	3,740	3,668	3,818	3,801	4,128	4,070	3,988	3,888
Natural Increase	...	1,264	1,170	940	1,135	809	811	903	1,005
Net Migration	...	55	-341	552	466	629	1,188	1,398	564
International	...	539	553	606	669	697	736	732	647
Domestic	...	-484	-894	-54	-203	-68	452	666	-84

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	435,426	436,702	437,483	438,926	440,444	441,822	443,809	446,078	10,652
Male	214,838	215,734	216,214	217,023	217,772	218,371	219,326	220,480	5,642
Female	220,588	220,968	221,269	221,903	222,672	223,451	224,483	225,598	5,010
Group Quarters	...	8,736	8,741	8,739	8,738	8,741	8,741	8,743	271

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	435,426	436,702	437,483	438,926	440,444	441,822	443,809	446,078	10,652
White alone	394,166	394,536	394,538	394,985	395,595	395,885	396,481	397,568	3,402
Black alone	26,378	26,867	27,196	27,686	28,203	28,786	29,549	30,195	3,817
AIAN alone	1,291	1,338	1,386	1,444	1,465	1,482	1,524	1,559	268
Asian alone	5,648	5,746	5,884	5,996	6,082	6,298	6,494	6,739	1,091
NHOPI alone	220	234	235	251	267	291	297	298	78
Two+ Races	7,723	7,981	8,244	8,564	8,832	9,080	9,464	9,719	1,996
Hispanic (any race)	24,622	25,792	26,821	27,991	29,223	30,539	31,876	33,584	8,962

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	446,078	397,568	30,195	1,559	6,739	298	9,719	33,584
Age 0-4	25,369	20,821	2,576	141	374	35	1,422	3,553
Age 5-9	27,345	22,583	2,650	118	426	31	1,537	3,590
Age 10-14	28,653	23,881	2,591	119	549	21	1,492	3,457
Age 15-19	27,951	23,525	2,625	123	513	24	1,141	3,319
Age 20-24	25,894	22,146	2,452	102	381	16	797	2,878
Age 25-29	27,657	24,061	2,378	122	441	26	629	2,792
Age 30-34	27,408	24,150	2,042	105	564	26	521	2,633
Age 35-39	27,246	24,022	2,072	125	587	17	423	2,581
Age 40-44	26,143	23,152	1,904	119	544	22	402	2,295
Age 45-49	30,873	27,721	2,099	107	549	16	381	1,814
Age 50-54	32,123	29,466	1,894	82	399	20	262	1,462
Age 55-59	33,338	31,081	1,535	92	358	18	254	1,026
Age 60-64	29,923	28,114	1,212	72	363	8	154	770
Age 65-69	24,881	23,569	856	51	287	10	108	585
Age 70-74	19,343	18,510	533	42	178	5	75	373
Age 75-79	12,986	12,415	380	19	112	3	57	209
Age 80-84	9,108	8,783	219	11	68	0	27	148
Age 85 up	9,837	9,568	177	9	46	0	37	99

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Age 0000	5,061	4,958	4,808	4,730	4,903	4,912	4,853	4,864	-197
Age 0101	5,222	5,109	5,079	4,895	4,868	4,983	5,094	4,971	-251
Age 0202	5,393	5,253	5,134	5,166	5,008	4,991	5,019	5,207	-186
Age 0303	5,378	5,427	5,247	5,171	5,206	5,139	5,033	5,157	-221
Age 0404	5,464	5,418	5,434	5,370	5,239	5,255	5,215	5,170	-294
Age 0505	5,625	5,483	5,462	5,515	5,374	5,272	5,270	5,290	-335
Age 0606	5,608	5,680	5,494	5,505	5,579	5,431	5,317	5,361	-247
Age 0707	5,574	5,593	5,680	5,537	5,514	5,633	5,508	5,377	-197
Age 0808	5,635	5,628	5,563	5,651	5,572	5,534	5,691	5,550	-85
Age 0909	5,691	5,661	5,630	5,649	5,666	5,606	5,562	5,767	76
Age 1010	5,774	5,709	5,645	5,681	5,658	5,706	5,693	5,619	-155
Age 1111	5,646	5,761	5,735	5,682	5,696	5,714	5,761	5,697	51
Age 1212	5,816	5,627	5,767	5,751	5,677	5,689	5,732	5,787	-29
Age 1313	5,685	5,833	5,626	5,776	5,779	5,699	5,746	5,774	89
Age 1414	5,926	5,718	5,838	5,661	5,771	5,744	5,706	5,776	-150
Age 1515	5,976	5,974	5,709	5,864	5,698	5,818	5,795	5,752	-224
Age 1616	6,065	5,998	5,991	5,683	5,832	5,699	5,891	5,834	-231
Age 1717	6,239	6,030	6,002	5,972	5,690	5,873	5,744	5,900	-339
Age 1818	5,953	5,946	5,756	5,761	5,654	5,445	5,590	5,473	-480
Age 1919	5,261	5,393	5,300	5,150	5,121	5,041	4,857	4,992	-269
Age 2020	5,344	5,398	5,417	5,364	5,232	5,176	5,140	4,936	-408
Age 2121	4,984	5,349	5,391	5,326	5,322	5,210	5,148	5,109	125
Age 2222	4,740	4,978	5,272	5,271	5,311	5,284	5,227	5,107	367
Age 2323	4,972	4,927	5,181	5,432	5,367	5,420	5,393	5,345	373
Age 2424	4,945	5,036	4,966	5,188	5,547	5,396	5,384	5,397	452
Age 2525	4,953	5,062	5,016	5,081	5,266	5,663	5,430	5,537	584
Age 2626	4,883	5,027	5,079	5,019	5,117	5,331	5,656	5,536	653
Age 2727	5,051	4,901	5,069	5,154	5,067	5,165	5,355	5,757	706
Age 2828	5,202	5,163	5,013	5,202	5,260	5,208	5,277	5,453	251
Age 2929	5,191	5,323	5,191	5,039	5,287	5,313	5,293	5,374	183
Age 3030	5,212	5,229	5,366	5,281	5,153	5,445	5,393	5,391	179
Age 3131	4,981	5,237	5,260	5,447	5,351	5,227	5,533	5,446	465
Age 3232	5,082	5,027	5,331	5,353	5,469	5,383	5,365	5,643	561
Age 3333	5,093	5,080	5,038	5,362	5,387	5,453	5,443	5,391	298
Age 3434	4,920	5,096	5,121	5,071	5,390	5,371	5,544	5,537	617
Age 3535	5,163	4,922	5,083	5,135	5,129	5,453	5,423	5,633	470
Age 3636	5,087	5,167	4,930	5,114	5,181	5,141	5,548	5,561	474
Age 3737	5,437	5,092	5,159	4,902	5,167	5,170	5,176	5,580	143
Age 3838	5,972	5,435	5,104	5,194	4,911	5,188	5,192	5,272	-700
Age 3939	6,518	5,950	5,396	5,093	5,169	4,928	5,191	5,200	-1,318
Age 4040	6,673	6,503	5,955	5,446	5,118	5,196	5,019	5,270	-1,403
Age 4141	6,299	6,651	6,499	5,954	5,497	5,129	5,229	5,020	-1,279
Age 4242	6,240	6,293	6,680	6,465	5,976	5,481	5,153	5,255	-985
Age 4343	6,331	6,220	6,225	6,631	6,444	5,909	5,477	5,120	-1,211
Age 4444	6,363	6,339	6,197	6,227	6,621	6,395	5,897	5,478	-885
Age 4545	6,825	6,312	6,275	6,171	6,172	6,630	6,348	5,889	-936
Age 4646	7,018	6,792	6,330	6,264	6,135	6,186	6,590	6,347	-671
Age 4747	6,963	6,949	6,754	6,278	6,237	6,092	6,130	6,532	-431
Age 4848	6,992	6,885	6,897	6,723	6,268	6,234	6,060	6,081	-911
Age 4949	7,198	6,921	6,869	6,903	6,659	6,195	6,151	6,024	-1,174
Age 5050	7,071	7,120	6,843	6,840	6,829	6,602	6,130	6,105	-966
Age 5151	6,970	7,016	7,095	6,824	6,804	6,804	6,572	6,132	-838
Age 5252	6,929	6,897	6,976	7,037	6,740	6,731	6,780	6,511	-418
Age 5353	6,776	6,879	6,870	6,938	6,996	6,671	6,688	6,712	-64
Age 5454	6,505	6,696	6,853	6,806	6,884	6,952	6,663	6,663	158
Age 5555	6,516	6,438	6,658	6,814	6,737	6,824	6,928	6,587	71
Age 5656	6,294	6,480	6,409	6,613	6,777	6,689	6,834	6,861	567
Age 5757	6,036	6,205	6,415	6,352	6,564	6,734	6,629	6,710	674
Age 5858	5,863	5,960	6,156	6,382	6,289	6,503	6,676	6,592	729
Age 5959	5,543	5,787	5,885	6,108	6,328	6,230	6,426	6,588	1,045
Age 6060	5,289	5,484	5,729	5,851	6,067	6,235	6,183	6,357	1,068
Age 6161	5,362	5,225	5,403	5,664	5,797	6,021	6,177	6,087	725
Age 6262	5,476	5,290	5,104	5,317	5,564	5,713	5,932	6,122	646
Age 6363	5,862	5,398	5,228	5,046	5,273	5,499	5,619	5,848	-14
Age 6464	4,022	5,787	5,323	5,141	4,983	5,237	5,408	5,509	1,487
Age 6565	3,926	3,980	5,725	5,263	5,099	4,891	5,159	5,306	1,380
Age 6666	4,049	3,881	3,918	5,659	5,187	5,000	4,819	5,105	1,056
Age 6767	4,164	3,962	3,791	3,853	5,528	5,089	4,895	4,744	580
Age 6868	3,562	4,137	3,926	3,774	3,800	5,445	4,993	4,849	1,287
Age 6969	3,257	3,482	4,063	3,838	3,672	3,691	5,318	4,877	1,620
Age 7070	3,035	3,182	3,420	3,984	3,772	3,591	3,622	5,226	2,191
Age 7171	2,874	2,963	3,144	3,340	3,909	3,691	3,513	3,542	668
Age 7272	2,786	2,835	2,891	3,044	3,256	3,823	3,599	3,423	637
Age 7373	2,615	2,716	2,771	2,827	2,974	3,179	3,742	3,504	889
Age 7474	2,564	2,546	2,643	2,722	2,769	2,901	3,088	3,648	1,084
Age 7575	2,497	2,484	2,469	2,568	2,670	2,662	2,834	2,987	490
Age 7676	2,296	2,431	2,417	2,385	2,504	2,612	2,586	2,745	449
Age 7777	2,235	2,218	2,363	2,335	2,290	2,437	2,543	2,493	258
Age 7878	2,128	2,176	2,145	2,284	2,253	2,224	2,380	2,469	341
Age 7979	2,066	2,065	2,107	2,052	2,214	2,156	2,150	2,292	226
Age 8080	1,943	1,963	1,946	1,989	1,953	2,125	2,058	2,050	107
Age 8181	1,769	1,847	1,873	1,873	1,895	1,841	2,008	1,963	194
Age 8282	1,839	1,686	1,756	1,805	1,763	1,796	1,747	1,900	61
Age 8383	1,712	1,737	1,553	1,651	1,695	1,655	1,669	1,643	-69
Age 8484	1,528	1,606	1,616	1,425	1,534	1,563	1,556	1,552	24
Age 8585	8,443	8,680	9,035	9,262	9,360	9,449	9,643	9,837	1,394
Age 0517	75,260	74,695	74,142	73,927	73,506	73,418	73,416	73,484	-1,776