Bucks County, PA [42017] 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	625,431	626,067	625,572	625,321	625,806	626,209	626,751	628,341	2,910
Births	...	5,999	5,652	5,604	5,943	6,004	5,999	5,960	5,880
Deaths	...	5,474	5,368	5,624	5,607	5,930	5,944	5,981	5,704
Natural Increase	...	525	284	-20	336	74	55	-21	176
Net Migration	...	152	-756	-202	215	380	502	1,653	278
International	...	768	785	806	913	989	1,004	1,002	895
Domestic	...	-616	-1,541	-1,008	-698	-609	-502	651	-618

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	625,431	626,067	625,572	625,321	625,806	626,209	626,751	628,341	2,910
Male	306,690	306,942	306,649	306,729	306,883	307,179	307,521	308,365	1,675
Female	318,741	319,125	318,923	318,592	318,923	319,030	319,230	319,976	1,235
Group Quarters	...	8,169	8,148	8,080	8,124	8,176	8,097	8,094	-139

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	625,431	626,067	625,572	625,321	625,806	626,209	626,751	628,341	2,910
White alone	566,732	565,688	563,435	561,691	560,177	558,685	557,354	557,096	-9,636
Black alone	23,249	23,696	24,239	24,711	25,413	25,903	26,499	27,000	3,751
AIAN alone	1,613	1,608	1,594	1,609	1,636	1,680	1,694	1,716	103
Asian alone	24,877	25,736	26,707	27,358	28,342	29,388	30,221	31,231	6,354
NHOPI alone	323	330	360	355	355	351	361	372	49
Two+ Races	8,637	9,009	9,237	9,597	9,883	10,202	10,622	10,926	2,289
Hispanic (any race)	27,028	27,807	28,390	29,309	30,080	31,152	32,517	33,927	6,899

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	628,341	557,096	27,000	1,716	31,231	372	10,926	33,927
Age 0-4	31,028	25,515	1,991	126	1,912	34	1,450	3,152
Age 5-9	34,505	28,574	2,016	130	2,100	30	1,655	3,055
Age 10-14	39,049	33,293	1,936	146	2,188	26	1,460	3,272
Age 15-19	39,185	33,595	2,140	116	2,011	26	1,297	2,850
Age 20-24	36,362	31,642	1,968	130	1,639	25	958	2,428
Age 25-29	34,327	29,306	2,165	132	2,016	31	677	2,399
Age 30-34	35,358	30,104	2,048	118	2,489	42	557	2,769
Age 35-39	36,921	31,676	1,945	133	2,660	26	481	2,998
Age 40-44	35,936	30,996	1,728	108	2,612	31	461	2,476
Age 45-49	43,719	38,735	1,932	102	2,479	19	452	2,263
Age 50-54	49,469	44,965	1,845	91	2,150	27	391	1,811
Age 55-59	52,621	48,703	1,539	131	1,860	18	370	1,456
Age 60-64	46,206	42,983	1,327	88	1,556	12	240	1,043
Age 65-69	36,842	34,319	933	63	1,314	12	201	714
Age 70-74	27,961	26,282	576	40	935	9	119	489
Age 75-79	18,752	17,656	365	22	627	3	79	306
Age 80-84	13,753	13,021	284	17	390	1	40	222
Age 85 up	16,347	15,731	262	23	293	0	38	224

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Age 0000	6,237	6,010	5,644	5,587	5,936	5,999	5,990	5,949	-288
Age 0101	6,551	6,389	6,052	5,726	5,708	6,056	6,207	6,110	-441
Age 0202	6,880	6,685	6,481	6,174	5,908	5,863	6,276	6,379	-501
Age 0303	7,049	6,952	6,773	6,543	6,339	6,063	5,994	6,425	-624
Age 0404	7,243	7,104	6,976	6,796	6,629	6,415	6,164	6,165	-1,078
Age 0505	7,356	7,286	7,215	7,114	6,870	6,781	6,555	6,301	-1,055
Age 0606	7,712	7,414	7,328	7,323	7,110	6,935	6,848	6,738	-974
Age 0707	7,691	7,759	7,444	7,337	7,358	7,217	7,023	6,980	-711
Age 0808	7,765	7,752	7,813	7,504	7,408	7,440	7,316	7,090	-675
Age 0909	8,180	7,792	7,800	7,893	7,473	7,475	7,544	7,396	-784
Age 1010	8,383	8,222	7,834	7,858	7,913	7,529	7,575	7,639	-744
Age 1111	8,423	8,415	8,292	7,877	7,938	7,995	7,608	7,633	-790
Age 1212	8,529	8,496	8,481	8,303	7,878	7,942	8,014	7,682	-847
Age 1313	8,682	8,560	8,498	8,537	8,373	7,915	7,998	8,039	-643
Age 1414	8,929	8,774	8,605	8,565	8,578	8,453	7,975	8,056	-873
Age 1515	9,013	8,987	8,797	8,651	8,593	8,585	8,513	8,027	-986
Age 1616	9,144	9,089	9,025	8,800	8,708	8,683	8,653	8,588	-556
Age 1717	9,204	9,122	9,019	9,005	8,819	8,672	8,686	8,684	-520
Age 1818	8,145	8,186	8,102	7,939	7,868	7,754	7,597	7,586	-559
Age 1919	6,437	6,914	6,895	6,728	6,602	6,529	6,387	6,300	-137
Age 2020	6,385	6,727	7,128	7,149	7,079	6,974	6,872	6,796	411
Age 2121	6,142	6,603	6,903	7,362	7,422	7,360	7,219	7,168	1,026
Age 2222	6,433	6,352	6,849	7,160	7,642	7,679	7,570	7,475	1,042
Age 2323	6,981	6,604	6,467	6,861	7,157	7,632	7,635	7,529	548
Age 2424	7,015	6,925	6,594	6,413	6,889	7,021	7,441	7,394	379
Age 2525	6,948	7,010	6,881	6,487	6,452	6,774	6,910	7,285	337
Age 2626	6,553	6,979	6,902	6,869	6,542	6,464	6,775	6,826	273
Age 2727	6,712	6,560	6,875	6,913	6,831	6,598	6,536	6,867	155
Age 2828	6,768	6,629	6,574	6,881	6,882	6,824	6,576	6,614	-154
Age 2929	6,699	6,796	6,624	6,587	6,852	6,896	6,864	6,735	36
Age 3030	6,807	6,743	6,815	6,714	6,597	6,924	6,900	6,923	116
Age 3131	6,634	6,868	6,798	6,897	6,742	6,696	6,930	7,096	462
Age 3232	6,482	6,641	6,913	6,833	6,991	6,839	6,807	7,124	642
Age 3333	6,474	6,513	6,817	7,054	6,996	7,154	7,041	6,983	509
Age 3434	6,412	6,593	6,573	6,882	7,198	7,164	7,315	7,232	820
Age 3535	6,790	6,477	6,617	6,656	7,011	7,314	7,284	7,468	678
Age 3636	6,826	6,831	6,501	6,715	6,738	7,157	7,468	7,465	639
Age 3737	7,195	6,929	6,913	6,629	6,804	6,788	7,262	7,593	398
Age 3838	7,808	7,239	6,970	7,011	6,670	6,925	6,943	7,343	-465
Age 3939	8,666	7,793	7,283	7,063	7,077	6,740	7,038	7,052	-1,614
Age 4040	9,032	8,717	7,795	7,268	7,153	7,092	6,744	7,143	-1,889
Age 4141	8,925	9,064	8,744	7,830	7,296	7,179	7,172	6,812	-2,113
Age 4242	8,992	8,968	9,125	8,744	7,868	7,353	7,247	7,278	-1,714
Age 4343	9,327	9,001	8,948	9,089	8,753	7,827	7,329	7,283	-2,044
Age 4444	9,641	9,347	9,029	8,955	9,069	8,799	7,921	7,420	-2,221
Age 4545	10,328	9,599	9,339	9,023	8,940	9,084	8,790	7,945	-2,383
Age 4646	10,759	10,307	9,598	9,357	9,028	8,949	9,114	8,845	-1,914
Age 4747	10,930	10,756	10,277	9,549	9,323	8,978	8,922	9,097	-1,833
Age 4848	11,061	10,848	10,713	10,218	9,510	9,284	8,984	8,891	-2,170
Age 4949	11,219	11,035	10,782	10,684	10,184	9,490	9,218	8,941	-2,278
Age 5050	11,290	11,167	10,943	10,690	10,630	10,122	9,419	9,192	-2,098
Age 5151	11,111	11,263	11,131	10,909	10,687	10,593	10,107	9,405	-1,706
Age 5252	11,088	10,974	11,164	11,050	10,817	10,585	10,451	10,018	-1,070
Age 5353	10,721	11,057	10,862	11,086	10,986	10,727	10,502	10,427	-294
Age 5454	10,352	10,684	10,949	10,797	10,982	10,855	10,655	10,427	75
Age 5555	10,168	10,286	10,575	10,893	10,682	10,872	10,738	10,562	394
Age 5656	9,747	10,114	10,229	10,486	10,784	10,585	10,786	10,659	912
Age 5757	9,264	9,675	9,991	10,114	10,369	10,651	10,427	10,644	1,380
Age 5858	8,800	9,170	9,555	9,893	10,039	10,271	10,524	10,369	1,569
Age 5959	8,491	8,686	9,072	9,408	9,811	9,955	10,147	10,387	1,896
Age 6060	8,024	8,384	8,595	8,947	9,276	9,608	9,801	9,980	1,956
Age 6161	7,899	7,929	8,260	8,530	8,827	9,133	9,475	9,669	1,770
Age 6262	7,951	7,785	7,837	8,145	8,413	8,688	8,965	9,326	1,375
Age 6363	8,480	7,828	7,651	7,730	8,045	8,257	8,558	8,817	337
Age 6464	5,890	8,330	7,655	7,530	7,582	7,919	8,102	8,414	2,524
Age 6565	5,738	5,792	8,218	7,538	7,446	7,476	7,784	7,974	2,236
Age 6666	5,755	5,632	5,703	8,064	7,356	7,327	7,377	7,635	1,880
Age 6767	6,214	5,659	5,548	5,580	7,904	7,225	7,166	7,233	1,019
Age 6868	5,204	6,099	5,546	5,433	5,506	7,780	7,109	7,038	1,834
Age 6969	4,609	5,102	5,954	5,453	5,309	5,423	7,642	6,962	2,353
Age 7070	4,298	4,514	5,014	5,821	5,329	5,203	5,319	7,503	3,205
Age 7171	4,145	4,221	4,468	4,916	5,722	5,223	5,096	5,226	1,081
Age 7272	4,078	4,023	4,114	4,378	4,807	5,568	5,076	4,983	905
Age 7373	3,831	3,995	3,961	4,034	4,304	4,708	5,437	4,939	1,108
Age 7474	3,655	3,733	3,916	3,854	3,920	4,204	4,561	5,310	1,655
Age 7575	3,574	3,542	3,626	3,808	3,737	3,771	4,081	4,419	845
Age 7676	3,270	3,488	3,467	3,550	3,762	3,648	3,695	4,015	745
Age 7777	3,249	3,161	3,366	3,361	3,455	3,656	3,519	3,555	306
Age 7878	3,309	3,136	3,037	3,266	3,270	3,369	3,499	3,385	76
Age 7979	3,273	3,183	3,051	2,922	3,153	3,172	3,264	3,378	105
Age 8080	3,081	3,119	3,039	2,904	2,808	3,014	3,049	3,126	45
Age 8181	2,895	2,954	3,007	2,913	2,804	2,698	2,909	2,920	25
Age 8282	2,845	2,762	2,839	2,886	2,789	2,676	2,621	2,803	-42
Age 8383	2,643	2,697	2,558	2,719	2,727	2,629	2,559	2,492	-151
Age 8484	2,431	2,468	2,517	2,384	2,528	2,535	2,430	2,412	-19
Age 8585	13,561	14,093	14,733	15,216	15,535	15,824	16,151	16,347	2,786
Age 0517	109,011	107,668	106,151	104,767	103,019	101,622	100,308	98,853	-10,158