Montgomery County, PA [42091] 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	800,981	805,186	808,912	812,838	815,947	817,869	820,656	826,075	25,094
Births	...	9,162	8,916	8,866	9,037	8,712	8,918	8,814	8,918
Deaths	...	7,205	7,042	7,457	7,205	7,561	7,587	7,803	7,409
Natural Increase	...	1,957	1,874	1,409	1,832	1,151	1,331	1,011	1,509
Net Migration	...	2,371	1,973	2,625	1,375	838	1,470	4,465	2,160
International	...	2,022	2,150	2,322	2,648	2,839	2,902	2,879	2,537
Domestic	...	349	-177	303	-1,273	-2,001	-1,432	1,586	-378

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	800,981	805,186	808,912	812,838	815,947	817,869	820,656	826,075	25,094
Male	388,543	390,668	392,790	395,010	396,616	397,401	399,035	401,978	13,435
Female	412,438	414,518	416,122	417,828	419,331	420,468	421,621	424,097	11,659
Group Quarters	...	21,293	21,554	22,092	21,732	21,586	21,456	21,728	709

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	800,981	805,186	808,912	812,838	815,947	817,869	820,656	826,075	25,094
White alone	661,143	661,845	661,381	661,272	661,184	660,158	659,113	660,015	-1,128
Black alone	71,206	72,446	73,785	75,436	76,466	77,130	78,673	80,636	9,430
AIAN alone	1,633	1,663	1,708	1,720	1,735	1,766	1,872	1,934	301
Asian alone	52,861	54,532	56,656	58,460	60,156	61,744	63,427	65,404	12,543
NHOPI alone	443	445	455	463	463	483	489	506	63
Two+ Races	13,695	14,255	14,927	15,487	15,943	16,588	17,082	17,580	3,885
Hispanic (any race)	34,420	35,222	36,287	37,571	38,660	39,710	41,128	42,788	8,368

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	826,075	660,015	80,636	1,934	65,404	506	17,580	42,788
Age 0-4	45,641	33,662	5,061	197	4,129	53	2,539	4,421
Age 5-9	49,331	36,457	5,278	170	4,443	45	2,938	4,476
Age 10-14	51,639	38,971	5,615	150	4,320	31	2,552	4,127
Age 15-19	50,922	38,516	6,135	127	4,119	29	1,996	3,422
Age 20-24	48,007	36,712	5,877	138	3,769	23	1,488	3,096
Age 25-29	49,217	37,022	5,891	210	5,020	36	1,038	3,272
Age 30-34	53,976	41,274	5,611	168	5,900	53	970	3,883
Age 35-39	52,836	40,506	5,464	151	5,789	52	874	3,620
Age 40-44	49,418	37,858	5,272	141	5,408	36	703	3,058
Age 45-49	56,021	44,705	5,648	95	4,938	36	599	2,553
Age 50-54	59,121	48,604	5,549	84	4,322	40	522	2,103
Age 55-59	61,593	52,395	5,081	79	3,520	30	488	1,639
Age 60-64	55,177	47,545	4,156	70	3,046	19	341	1,146
Age 65-69	44,367	38,338	3,416	49	2,342	11	211	722
Age 70-74	34,250	30,016	2,343	27	1,742	5	117	478
Age 75-79	23,665	20,492	1,772	40	1,262	6	93	329
Age 80-84	17,669	15,597	1,191	18	798	1	64	205
Age 85 up	23,225	21,345	1,276	20	537	0	47	238

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Age 0000	9,143	9,156	8,911	8,847	9,042	8,715	8,918	8,820	-323
Age 0101	9,306	9,201	9,299	9,044	8,936	9,118	8,936	9,100	-206
Age 0202	9,527	9,362	9,325	9,367	9,150	9,031	9,209	9,084	-443
Age 0303	9,544	9,696	9,429	9,441	9,458	9,222	9,167	9,377	-167
Age 0404	9,726	9,564	9,780	9,485	9,551	9,449	9,306	9,260	-466
Age 0505	9,998	9,883	9,601	9,960	9,648	9,662	9,663	9,490	-508
Age 0606	10,054	10,073	9,929	9,801	10,019	9,728	9,760	9,780	-274
Age 0707	9,972	10,104	10,139	9,991	9,878	10,051	9,794	9,888	-84
Age 0808	10,004	10,013	10,181	10,203	10,032	9,954	10,135	9,933	-71
Age 0909	10,222	10,110	10,076	10,179	10,282	10,080	10,071	10,240	18
Age 1010	10,364	10,256	10,120	10,086	10,238	10,357	10,104	10,098	-266
Age 1111	10,317	10,431	10,266	10,153	10,124	10,226	10,426	10,219	-98
Age 1212	10,304	10,400	10,445	10,312	10,203	10,212	10,293	10,529	225
Age 1313	10,535	10,352	10,432	10,534	10,329	10,260	10,339	10,359	-176
Age 1414	10,940	10,609	10,473	10,474	10,669	10,460	10,316	10,434	-506
Age 1515	11,032	11,015	10,662	10,549	10,609	10,789	10,596	10,443	-589
Age 1616	11,107	11,050	11,059	10,738	10,597	10,654	10,796	10,653	-454
Age 1717	11,194	11,110	11,082	11,112	10,789	10,601	10,697	10,866	-328
Age 1818	10,177	10,508	10,340	10,306	10,357	10,058	9,886	9,983	-194
Age 1919	8,562	9,434	9,568	9,483	9,407	9,423	9,181	8,977	415
Age 2020	8,175	8,571	9,391	9,687	9,496	9,465	9,488	9,283	1,108
Age 2121	8,096	8,351	8,669	9,517	9,752	9,653	9,572	9,647	1,551
Age 2222	8,509	8,348	8,511	8,826	9,645	9,910	9,742	9,729	1,220
Age 2323	9,173	8,620	8,313	8,507	8,703	9,402	9,623	9,568	395
Age 2424	9,504	9,452	8,908	8,614	8,861	8,927	9,571	9,780	276
Age 2525	9,590	9,723	9,794	9,215	8,869	9,170	9,166	9,831	241
Age 2626	9,494	9,916	10,006	10,020	9,561	9,207	9,476	9,487	-7
Age 2727	9,910	9,656	10,061	10,184	10,270	9,693	9,509	9,868	-42
Age 2828	9,997	10,089	9,839	10,276	10,317	10,382	9,874	9,857	-140
Age 2929	9,829	10,077	10,197	10,097	10,391	10,385	10,455	10,174	345
Age 3030	10,058	10,031	10,208	10,447	10,237	10,552	10,520	10,750	692
Age 3131	9,666	10,235	10,268	10,328	10,606	10,380	10,728	10,731	1,065
Age 3232	9,601	9,715	10,392	10,305	10,452	10,614	10,480	10,935	1,334
Age 3333	9,462	9,765	9,779	10,470	10,404	10,515	10,778	10,639	1,177
Age 3434	9,391	9,564	9,816	9,986	10,522	10,508	10,573	10,921	1,530
Age 3535	9,737	9,455	9,712	9,910	10,027	10,642	10,663	10,748	1,011
Age 3636	9,513	9,740	9,498	9,689	9,911	10,078	10,717	10,801	1,288
Age 3737	9,624	9,505	9,809	9,516	9,764	9,932	10,129	10,829	1,205
Age 3838	10,395	9,644	9,613	9,903	9,515	9,849	10,026	10,287	-108
Age 3939	11,439	10,368	9,718	9,678	9,935	9,580	9,898	10,171	-1,268
Age 4040	11,780	11,459	10,470	9,754	9,701	10,010	9,685	9,998	-1,782
Age 4141	11,384	11,798	11,463	10,531	9,825	9,669	9,948	9,703	-1,681
Age 4242	11,456	11,480	11,815	11,522	10,588	9,927	9,749	10,028	-1,428
Age 4343	11,283	11,365	11,404	11,818	11,433	10,521	9,908	9,737	-1,546
Age 4444	11,710	11,319	11,365	11,409	11,826	11,399	10,521	9,952	-1,758
Age 4545	12,536	11,717	11,312	11,367	11,413	11,772	11,356	10,527	-2,009
Age 4646	12,867	12,544	11,687	11,305	11,372	11,323	11,724	11,344	-1,523
Age 4747	12,686	12,828	12,478	11,670	11,244	11,318	11,241	11,674	-1,012
Age 4848	12,915	12,619	12,836	12,451	11,605	11,162	11,283	11,242	-1,673
Age 4949	13,216	12,856	12,526	12,778	12,359	11,546	11,051	11,234	-1,982
Age 5050	13,200	13,167	12,835	12,477	12,737	12,268	11,480	11,037	-2,163
Age 5151	12,864	13,073	13,033	12,691	12,367	12,622	12,104	11,395	-1,469
Age 5252	13,019	12,837	13,010	13,042	12,629	12,275	12,589	12,116	-903
Age 5353	12,691	12,878	12,772	12,917	12,947	12,458	12,134	12,483	-208
Age 5454	12,208	12,665	12,849	12,716	12,823	12,825	12,336	12,090	-118
Age 5555	11,964	12,101	12,489	12,699	12,574	12,720	12,613	12,211	247
Age 5656	11,435	11,918	11,995	12,379	12,565	12,426	12,549	12,540	1,105
Age 5757	11,148	11,321	11,821	11,948	12,210	12,446	12,312	12,422	1,274
Age 5858	10,646	11,072	11,258	11,728	11,817	12,138	12,347	12,194	1,548
Age 5959	10,017	10,535	10,965	11,156	11,537	11,685	11,967	12,226	2,209
Age 6060	9,624	9,911	10,446	10,854	11,028	11,461	11,534	11,857	2,233
Age 6161	9,421	9,522	9,792	10,305	10,707	10,907	11,280	11,365	1,944
Age 6262	9,445	9,341	9,440	9,652	10,153	10,549	10,738	11,149	1,704
Age 6363	10,080	9,353	9,247	9,400	9,528	10,010	10,377	10,629	549
Age 6464	7,136	9,921	9,225	9,076	9,207	9,375	9,820	10,177	3,041
Age 6565	7,037	7,029	9,746	9,084	8,915	9,007	9,223	9,632	2,595
Age 6666	7,046	6,881	6,896	9,572	8,957	8,784	8,779	9,059	2,013
Age 6767	7,487	6,974	6,785	6,811	9,424	8,817	8,664	8,655	1,168
Age 6868	6,272	7,396	6,853	6,649	6,692	9,270	8,641	8,520	2,248
Age 6969	5,667	6,159	7,254	6,710	6,538	6,577	9,090	8,501	2,834
Age 7070	5,441	5,562	6,069	7,114	6,590	6,465	6,493	8,930	3,489
Age 7171	5,178	5,308	5,428	5,960	6,961	6,404	6,320	6,383	1,205
Age 7272	5,108	5,099	5,205	5,337	5,881	6,791	6,303	6,230	1,122
Age 7373	4,795	5,010	4,993	5,119	5,235	5,736	6,642	6,180	1,385
Age 7474	4,718	4,698	4,923	4,904	5,001	5,116	5,649	6,527	1,809
Age 7575	4,647	4,599	4,641	4,795	4,806	4,906	5,020	5,550	903
Age 7676	4,284	4,459	4,442	4,500	4,631	4,641	4,738	4,832	548
Age 7777	4,304	4,158	4,378	4,337	4,376	4,529	4,539	4,628	324
Age 7878	4,347	4,181	4,038	4,224	4,206	4,233	4,400	4,404	57
Age 7979	4,341	4,178	4,016	3,891	4,075	4,046	4,063	4,251	-90
Age 8080	4,312	4,169	4,006	3,873	3,751	3,915	3,920	3,916	-396
Age 8181	4,031	4,111	3,974	3,821	3,721	3,578	3,721	3,747	-284
Age 8282	4,044	3,837	3,913	3,773	3,665	3,573	3,439	3,571	-473
Age 8383	3,805	3,814	3,627	3,678	3,557	3,462	3,393	3,260	-545
Age 8484	3,420	3,548	3,610	3,377	3,459	3,315	3,279	3,175	-245
Age 8585	20,775	21,264	21,963	22,424	22,755	22,998	23,113	23,225	2,450
Age 0517	136,043	135,406	134,465	134,092	133,417	133,034	132,990	132,932	-3,111