Chester County, PA [42029] Demographic Characteristics & Trends
  -- a component of the Philadelphia-Camden-Wilmington, PA-NJ-DE-MD metropolitan area [37980] -- 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	499,920	503,404	506,283	509,388	512,864	515,226	516,489	519,293	19,373
Births	...	5,552	5,563	5,384	5,494	5,671	5,365	5,438	5,495
Deaths	...	3,630	3,621	3,755	3,739	3,899	4,000	4,072	3,817
Natural Increase	...	1,922	1,942	1,629	1,755	1,772	1,365	1,366	1,679
Net Migration	...	1,631	993	1,538	1,806	623	-100	1,461	1,136
International	...	1,071	1,104	1,126	1,352	1,515	1,561	1,566	1,328
Domestic	...	560	-111	412	454	-892	-1,661	-105	-192

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	499,920	503,404	506,283	509,388	512,864	515,226	516,489	519,293	19,373
Male	245,678	247,258	248,911	250,650	252,479	253,739	254,379	255,833	10,155
Female	254,242	256,146	257,372	258,738	260,385	261,487	262,110	263,460	9,218
Group Quarters	...	13,775	13,671	13,542	13,637	13,494	13,514	13,518	-92

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	499,920	503,404	506,283	509,388	512,864	515,226	516,489	519,293	19,373
White alone	438,873	441,038	442,244	444,038	445,168	445,671	445,504	446,388	7,515
Black alone	31,875	32,021	32,184	32,087	32,541	32,538	32,458	32,484	609
AIAN alone	1,272	1,281	1,354	1,403	1,438	1,453	1,465	1,446	174
Asian alone	19,907	20,771	21,927	22,924	24,450	25,962	27,186	28,871	8,964
NHOPI alone	296	303	305	322	306	316	320	314	18
Two+ Races	7,697	7,990	8,269	8,614	8,961	9,286	9,556	9,790	2,093
Hispanic (any race)	32,730	33,669	34,531	35,442	36,232	37,258	38,160	39,229	6,499

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	519,293	446,388	32,484	1,446	28,871	314	9,790	39,229
Age 0-4	28,846	23,154	2,123	118	2,043	34	1,374	4,142
Age 5-9	32,606	26,251	2,095	136	2,488	32	1,604	4,115
Age 10-14	35,605	29,463	2,046	100	2,460	22	1,514	3,730
Age 15-19	36,679	30,448	3,103	96	1,795	23	1,214	3,432
Age 20-24	32,621	26,840	3,560	113	1,213	15	880	3,502
Age 25-29	29,163	24,633	2,223	113	1,593	25	576	3,216
Age 30-34	30,432	25,246	1,947	125	2,671	26	417	3,085
Age 35-39	31,762	26,023	1,937	102	3,204	35	461	3,022
Age 40-44	31,771	26,290	1,772	95	3,235	29	350	2,655
Age 45-49	36,148	31,207	1,937	91	2,540	20	353	2,258
Age 50-54	38,566	34,292	2,137	88	1,747	15	287	1,949
Age 55-59	39,026	35,455	2,053	83	1,198	16	221	1,431
Age 60-64	33,999	31,170	1,744	56	793	11	225	1,043
Age 65-69	27,140	24,929	1,348	43	693	4	123	622
Age 70-74	20,841	19,311	901	30	520	4	75	445
Age 75-79	13,712	12,634	667	33	321	1	56	268
Age 80-84	9,229	8,541	434	13	201	1	39	165
Age 85 up	11,147	10,501	457	11	156	1	21	149

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Age 0000	5,670	5,595	5,598	5,421	5,535	5,705	5,407	5,474	-196
Age 0101	6,013	5,814	5,614	5,756	5,517	5,669	5,804	5,543	-470
Age 0202	6,237	6,126	5,910	5,734	5,902	5,693	5,818	5,931	-306
Age 0303	6,442	6,319	6,244	6,004	5,908	6,055	5,828	5,922	-520
Age 0404	6,634	6,578	6,423	6,385	6,206	6,058	6,196	5,976	-658
Age 0505	6,771	6,704	6,668	6,525	6,500	6,357	6,129	6,285	-486
Age 0606	6,986	6,828	6,764	6,727	6,593	6,600	6,388	6,235	-751
Age 0707	7,084	7,052	6,913	6,817	6,805	6,740	6,661	6,499	-585
Age 0808	6,918	7,075	7,085	6,954	6,895	6,846	6,744	6,744	-174
Age 0909	7,075	6,985	7,122	7,139	7,003	6,961	6,923	6,843	-232
Age 1010	7,202	7,090	7,005	7,126	7,214	7,001	6,963	6,929	-273
Age 1111	7,080	7,228	7,135	7,040	7,171	7,235	7,074	7,033	-47
Age 1212	7,126	7,120	7,254	7,204	7,070	7,158	7,265	7,115	-11
Age 1313	7,152	7,130	7,124	7,272	7,230	7,080	7,165	7,340	188
Age 1414	7,177	7,200	7,169	7,160	7,347	7,269	7,131	7,188	11
Age 1515	7,288	7,192	7,215	7,177	7,209	7,362	7,281	7,143	-145
Age 1616	7,407	7,280	7,204	7,242	7,210	7,220	7,393	7,285	-122
Age 1717	7,512	7,456	7,325	7,233	7,278	7,239	7,229	7,429	-83
Age 1818	7,520	7,826	7,733	7,602	7,514	7,473	7,429	7,423	-97
Age 1919	7,000	7,676	7,819	7,689	7,582	7,460	7,402	7,399	399
Age 2020	6,450	6,339	6,978	7,135	7,059	6,951	6,906	6,888	438
Age 2121	6,232	6,192	5,983	6,688	6,894	6,768	6,723	6,687	455
Age 2222	5,904	6,136	6,113	5,821	6,593	6,733	6,642	6,626	722
Age 2323	5,947	5,777	5,864	5,932	5,608	6,283	6,319	6,291	344
Age 2424	5,837	5,848	5,657	5,841	5,930	5,534	6,054	6,129	292
Age 2525	5,711	5,791	5,819	5,677	5,827	5,926	5,479	5,998	287
Age 2626	5,476	5,653	5,756	5,862	5,670	5,691	5,894	5,543	67
Age 2727	5,541	5,478	5,708	5,811	5,909	5,703	5,749	5,959	418
Age 2828	5,426	5,586	5,507	5,678	5,772	5,877	5,726	5,825	399
Age 2929	5,342	5,449	5,609	5,530	5,789	5,832	5,991	5,838	496
Age 3030	5,447	5,437	5,602	5,667	5,553	5,867	5,920	6,094	647
Age 3131	5,443	5,455	5,523	5,683	5,737	5,694	5,954	6,027	584
Age 3232	5,379	5,538	5,628	5,696	5,845	5,887	5,865	6,095	716
Age 3333	5,408	5,544	5,661	5,804	5,900	5,921	5,969	6,057	649
Age 3434	5,545	5,566	5,685	5,842	6,027	6,139	6,074	6,159	614
Age 3535	5,975	5,666	5,627	5,815	5,996	6,185	6,200	6,303	328
Age 3636	5,801	6,041	5,793	5,742	5,915	6,129	6,344	6,315	514
Age 3737	6,040	5,961	6,155	5,863	5,889	6,037	6,197	6,487	447
Age 3838	6,473	6,153	6,009	6,242	5,929	6,010	6,145	6,361	-112
Age 3939	7,146	6,575	6,214	6,079	6,339	6,027	6,108	6,296	-850
Age 4040	7,421	7,193	6,628	6,280	6,193	6,372	6,169	6,244	-1,177
Age 4141	7,294	7,503	7,210	6,736	6,360	6,255	6,455	6,254	-1,040
Age 4242	7,261	7,311	7,542	7,276	6,766	6,383	6,303	6,488	-773
Age 4343	7,401	7,270	7,368	7,595	7,328	6,827	6,390	6,343	-1,058
Age 4444	7,645	7,406	7,281	7,372	7,573	7,306	6,809	6,442	-1,203
Age 4545	8,121	7,669	7,385	7,321	7,376	7,546	7,298	6,819	-1,302
Age 4646	8,254	8,070	7,592	7,392	7,309	7,314	7,534	7,279	-975
Age 4747	8,302	8,253	8,111	7,575	7,358	7,310	7,279	7,526	-776
Age 4848	8,304	8,303	8,205	8,101	7,598	7,325	7,268	7,270	-1,034
Age 4949	8,395	8,278	8,267	8,170	8,115	7,522	7,287	7,254	-1,141
Age 5050	8,335	8,387	8,305	8,265	8,148	8,094	7,482	7,264	-1,071
Age 5151	8,249	8,338	8,306	8,280	8,224	8,116	8,001	7,406	-843
Age 5252	8,232	8,198	8,293	8,282	8,204	8,144	8,020	7,937	-295
Age 5353	7,948	8,135	8,149	8,209	8,211	8,126	8,096	7,955	7
Age 5454	7,520	7,915	8,064	8,113	8,104	8,083	8,026	8,004	484
Age 5555	7,403	7,446	7,840	8,004	8,038	7,973	8,004	7,935	532
Age 5656	7,162	7,357	7,407	7,814	7,946	7,926	7,883	7,904	742
Age 5757	6,909	7,166	7,339	7,346	7,757	7,904	7,849	7,843	934
Age 5858	6,565	6,824	7,086	7,233	7,253	7,621	7,749	7,722	1,157
Age 5959	6,215	6,528	6,784	7,022	7,173	7,181	7,493	7,622	1,407
Age 6060	5,895	6,163	6,497	6,739	6,960	7,100	7,084	7,371	1,476
Age 6161	5,626	5,851	6,078	6,412	6,625	6,845	6,935	6,940	1,314
Age 6262	5,751	5,612	5,810	6,050	6,307	6,532	6,705	6,841	1,090
Age 6363	6,223	5,660	5,529	5,734	5,961	6,226	6,368	6,590	367
Age 6464	4,397	6,094	5,570	5,420	5,635	5,832	6,095	6,257	1,860
Age 6565	4,372	4,342	6,023	5,490	5,342	5,581	5,710	6,027	1,655
Age 6666	4,274	4,301	4,275	5,940	5,386	5,270	5,488	5,593	1,319
Age 6767	4,452	4,206	4,234	4,165	5,825	5,287	5,142	5,405	953
Age 6868	3,744	4,377	4,145	4,162	4,093	5,721	5,180	5,030	1,286
Age 6969	3,339	3,696	4,307	4,059	4,092	4,030	5,619	5,085	1,746
Age 7070	3,169	3,301	3,647	4,227	3,989	4,004	3,953	5,507	2,338
Age 7171	2,950	3,092	3,233	3,602	4,157	3,906	3,908	3,878	928
Age 7272	2,840	2,912	3,038	3,189	3,539	4,078	3,814	3,846	1,006
Age 7373	2,628	2,792	2,860	2,974	3,135	3,471	4,009	3,709	1,081
Age 7474	2,536	2,578	2,743	2,814	2,912	3,058	3,374	3,901	1,365
Age 7575	2,436	2,467	2,515	2,691	2,734	2,828	2,957	3,285	849
Age 7676	2,209	2,367	2,447	2,446	2,648	2,695	2,744	2,873	664
Age 7777	2,199	2,122	2,302	2,386	2,357	2,578	2,604	2,650	451
Age 7878	2,256	2,143	2,059	2,228	2,310	2,316	2,495	2,515	259
Age 7979	2,178	2,166	2,055	1,979	2,131	2,229	2,226	2,389	211
Age 8080	2,176	2,118	2,100	1,999	1,920	2,053	2,143	2,144	-32
Age 8181	1,933	2,060	1,997	1,963	1,889	1,795	1,932	2,032	99
Age 8282	1,885	1,859	1,978	1,917	1,884	1,821	1,714	1,835	-50
Age 8383	1,779	1,799	1,754	1,870	1,814	1,793	1,714	1,611	-168
Age 8484	1,575	1,694	1,681	1,664	1,776	1,724	1,695	1,607	32
Age 8585	9,345	9,623	10,029	10,267	10,539	10,750	10,997	11,147	1,802
Age 0517	92,778	92,340	91,983	91,616	91,525	91,068	90,346	90,068	-2,710