Burlington County, NJ [34005] 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	449,200	450,486	451,256	449,858	450,318	448,844	448,342	448,596	-604
Births	...	4,669	4,571	4,397	4,526	4,502	4,342	4,384	4,484
Deaths	...	3,704	3,690	3,933	3,822	4,101	4,059	4,032	3,906
Natural Increase	...	965	881	464	704	401	283	352	579
Net Migration	...	364	-82	-1,880	-198	-1,883	-785	-88	-650
International	...	848	1,173	911	977	1,130	1,029	930	1,000
Domestic	...	-484	-1,255	-2,791	-1,175	-3,013	-1,814	-1,018	-1,650

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	449,200	450,486	451,256	449,858	450,318	448,844	448,342	448,596	-604
Male	220,740	221,243	221,927	221,336	221,557	220,656	220,489	220,576	-164
Female	228,460	229,243	229,329	228,522	228,761	228,188	227,853	228,020	-440
Group Quarters	...	13,547	13,500	13,526	13,568	12,718	12,465	12,356	-898

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	449,200	450,486	451,256	449,858	450,318	448,844	448,342	448,596	-604
White alone	339,040	338,757	338,483	336,283	335,583	332,861	330,860	329,474	-9,566
Black alone	77,348	77,743	78,004	78,432	78,769	79,065	79,648	80,347	2,999
AIAN alone	1,247	1,286	1,347	1,341	1,363	1,393	1,433	1,423	176
Asian alone	20,102	20,906	21,382	21,622	22,154	22,901	23,504	24,157	4,055
NHOPI alone	286	308	307	323	333	350	337	375	89
Two+ Races	11,177	11,486	11,733	11,857	12,116	12,274	12,560	12,820	1,643
Hispanic (any race)	29,111	30,515	31,792	32,536	33,540	34,238	35,182	36,284	7,173

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	448,596	329,474	80,347	1,423	24,157	375	12,820	36,284
Age 0-4	22,926	15,202	4,529	103	1,443	34	1,615	3,082
Age 5-9	25,219	17,207	4,642	78	1,607	29	1,656	3,123
Age 10-14	28,149	19,505	5,178	99	1,637	28	1,702	3,003
Age 15-19	27,143	18,709	5,689	86	1,325	22	1,312	2,709
Age 20-24	28,708	19,256	6,910	136	1,165	38	1,203	3,218
Age 25-29	28,465	19,818	5,998	127	1,586	38	898	3,189
Age 30-34	27,422	19,419	5,173	112	1,918	28	772	3,255
Age 35-39	27,819	19,856	5,113	103	2,064	35	648	2,955
Age 40-44	27,152	19,354	5,057	92	2,074	21	554	2,527
Age 45-49	31,386	23,009	5,852	101	1,879	11	534	2,315
Age 50-54	34,885	26,371	6,153	86	1,717	30	528	1,914
Age 55-59	35,279	27,784	5,534	82	1,383	23	473	1,639
Age 60-64	29,331	23,266	4,282	68	1,339	13	363	1,178
Age 65-69	23,609	18,688	3,531	43	1,110	5	232	822
Age 70-74	18,430	15,077	2,398	44	774	8	129	540
Age 75-79	12,879	10,350	1,855	25	559	8	82	317
Age 80-84	9,096	7,416	1,298	19	311	3	49	260
Age 85 up	10,698	9,187	1,155	19	266	1	70	238

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Age 0000	4,893	4,675	4,588	4,380	4,506	4,481	4,330	4,374	-519
Age 0101	4,915	4,913	4,723	4,638	4,530	4,551	4,508	4,407	-508
Age 0202	5,209	4,999	4,974	4,692	4,668	4,619	4,659	4,597	-612
Age 0303	5,423	5,236	4,988	4,980	4,768	4,652	4,707	4,776	-647
Age 0404	5,436	5,440	5,295	5,005	4,980	4,812	4,663	4,772	-664
Age 0505	5,566	5,481	5,494	5,367	5,054	5,004	4,844	4,761	-805
Age 0606	5,646	5,612	5,512	5,376	5,329	5,068	5,107	4,866	-780
Age 0707	5,704	5,677	5,639	5,494	5,369	5,329	5,114	5,094	-610
Age 0808	5,622	5,745	5,711	5,622	5,517	5,418	5,321	5,148	-474
Age 0909	5,814	5,652	5,761	5,692	5,645	5,525	5,475	5,350	-464
Age 1010	6,013	5,838	5,690	5,746	5,701	5,661	5,500	5,487	-526
Age 1111	6,037	6,036	5,816	5,703	5,780	5,668	5,684	5,518	-519
Age 1212	6,075	6,044	6,013	5,865	5,666	5,765	5,676	5,712	-363
Age 1313	6,044	6,072	6,000	6,013	5,855	5,657	5,732	5,711	-333
Age 1414	6,105	6,072	6,094	5,997	6,011	5,822	5,627	5,721	-384
Age 1515	6,359	6,133	6,126	6,115	6,036	6,015	5,750	5,646	-713
Age 1616	6,451	6,375	6,124	6,051	6,116	5,989	5,977	5,771	-680
Age 1717	6,630	6,508	6,379	6,157	6,100	6,101	5,975	6,001	-629
Age 1818	5,987	5,864	5,723	5,596	5,392	5,273	5,284	5,184	-803
Age 1919	4,903	5,231	5,073	4,914	4,998	4,625	4,498	4,541	-362
Age 2020	4,987	5,486	5,786	5,608	5,670	5,413	5,210	5,058	71
Age 2121	5,113	5,380	5,814	6,043	5,963	5,748	5,641	5,421	308
Age 2222	5,257	5,430	5,681	5,998	6,377	6,041	5,920	5,927	670
Age 2323	5,529	5,505	5,743	5,938	6,209	6,426	6,235	6,124	595
Age 2424	5,596	5,574	5,538	5,678	5,870	6,037	6,288	6,178	582
Age 2525	5,612	5,652	5,601	5,527	5,669	5,776	6,004	6,325	713
Age 2626	4,911	5,237	5,323	5,179	5,232	5,259	5,454	5,722	811
Age 2727	5,373	5,278	5,551	5,559	5,458	5,425	5,465	5,681	308
Age 2828	5,099	5,264	5,169	5,416	5,396	5,358	5,326	5,342	243
Age 2929	5,321	5,254	5,322	5,201	5,599	5,411	5,495	5,395	74
Age 3030	5,384	5,244	5,233	5,286	5,182	5,563	5,443	5,534	150
Age 3131	5,151	5,474	5,351	5,256	5,352	5,208	5,622	5,530	379
Age 3232	5,026	5,134	5,407	5,301	5,197	5,359	5,191	5,595	569
Age 3333	5,085	5,104	5,232	5,530	5,461	5,339	5,531	5,216	131
Age 3434	4,953	5,137	5,124	5,270	5,506	5,475	5,359	5,547	594
Age 3535	5,259	5,059	5,210	5,189	5,356	5,632	5,602	5,514	255
Age 3636	5,371	5,263	5,088	5,193	5,178	5,411	5,759	5,671	300
Age 3737	5,406	5,388	5,255	5,071	5,177	5,217	5,399	5,737	331
Age 3838	5,795	5,534	5,540	5,349	5,189	5,256	5,347	5,540	-255
Age 3939	6,470	5,780	5,486	5,462	5,325	5,247	5,287	5,357	-1,113
Age 4040	6,649	6,471	5,786	5,472	5,518	5,371	5,247	5,295	-1,354
Age 4141	6,564	6,698	6,509	5,835	5,546	5,562	5,424	5,326	-1,238
Age 4242	6,683	6,640	6,697	6,507	5,869	5,538	5,610	5,481	-1,202
Age 4343	6,794	6,701	6,657	6,715	6,538	5,910	5,567	5,670	-1,124
Age 4444	6,958	6,611	6,536	6,437	6,491	6,334	5,760	5,380	-1,578
Age 4545	7,412	6,870	6,545	6,416	6,336	6,431	6,211	5,718	-1,694
Age 4646	7,662	7,399	6,902	6,498	6,399	6,380	6,433	6,253	-1,409
Age 4747	7,776	7,682	7,379	6,824	6,430	6,339	6,389	6,434	-1,342
Age 4848	7,882	7,967	7,862	7,570	6,972	6,587	6,475	6,562	-1,320
Age 4949	7,895	7,749	7,842	7,693	7,454	6,853	6,479	6,419	-1,476
Age 5050	7,829	7,829	7,674	7,731	7,566	7,348	6,800	6,459	-1,370
Age 5151	7,515	7,622	7,643	7,452	7,549	7,391	7,186	6,615	-900
Age 5252	7,401	7,436	7,590	7,578	7,396	7,516	7,306	7,144	-257
Age 5353	7,287	7,410	7,419	7,588	7,568	7,403	7,507	7,302	15
Age 5454	6,863	7,158	7,283	7,316	7,448	7,452	7,257	7,365	502
Age 5555	6,552	6,800	7,071	7,181	7,227	7,395	7,344	7,198	646
Age 5656	6,132	6,385	6,629	6,934	7,031	7,088	7,278	7,161	1,029
Age 5757	6,000	6,078	6,363	6,606	6,908	7,019	7,075	7,231	1,231
Age 5858	5,750	5,920	5,990	6,255	6,504	6,810	6,863	6,930	1,180
Age 5959	5,551	5,675	5,839	5,924	6,166	6,372	6,724	6,759	1,208
Age 6060	5,542	5,540	5,721	5,842	5,906	6,173	6,369	6,709	1,167
Age 6161	5,268	5,295	5,311	5,440	5,563	5,634	5,908	6,097	829
Age 6262	5,438	5,203	5,262	5,243	5,394	5,522	5,551	5,816	378
Age 6363	5,822	5,375	5,128	5,204	5,192	5,369	5,494	5,485	-337
Age 6464	4,040	5,568	5,129	4,905	4,970	4,945	5,095	5,224	1,184
Age 6565	3,973	4,026	5,499	5,086	4,896	4,914	4,908	5,053	1,080
Age 6666	3,819	3,830	3,892	5,325	4,926	4,715	4,740	4,758	939
Age 6767	4,084	3,727	3,739	3,799	5,190	4,779	4,604	4,657	573
Age 6868	3,588	4,028	3,681	3,667	3,730	5,111	4,675	4,535	947
Age 6969	3,224	3,559	4,023	3,641	3,677	3,716	5,037	4,606	1,382
Age 7070	2,963	3,145	3,470	3,913	3,518	3,586	3,612	4,890	1,927
Age 7171	2,894	2,840	3,008	3,341	3,803	3,379	3,421	3,469	575
Age 7272	2,897	2,841	2,804	2,965	3,272	3,706	3,320	3,338	441
Age 7373	2,655	2,829	2,759	2,713	2,880	3,188	3,602	3,216	561
Age 7474	2,519	2,619	2,784	2,718	2,625	2,816	3,120	3,517	998
Age 7575	2,422	2,466	2,526	2,710	2,639	2,520	2,730	3,019	597
Age 7676	2,249	2,339	2,423	2,478	2,624	2,571	2,460	2,686	437
Age 7777	2,218	2,190	2,280	2,326	2,444	2,541	2,499	2,384	166
Age 7878	2,341	2,113	2,143	2,202	2,228	2,397	2,460	2,430	89
Age 7979	2,306	2,234	1,996	2,051	2,090	2,062	2,266	2,360	54
Age 8080	2,177	2,213	2,134	1,918	1,967	2,011	2,009	2,211	34
Age 8181	1,995	2,061	2,086	2,004	1,829	1,864	1,914	1,923	-72
Age 8282	1,863	1,892	1,962	1,948	1,883	1,714	1,750	1,811	-52
Age 8383	1,792	1,757	1,787	1,858	1,847	1,764	1,607	1,655	-137
Age 8484	1,627	1,669	1,655	1,677	1,724	1,724	1,649	1,496	-131
Age 8585	8,799	9,246	9,661	9,895	10,198	10,388	10,598	10,698	1,899
Age 0517	78,066	77,245	76,359	75,198	74,179	73,022	71,782	70,786	-7,280