Harford County, MD [24025] Demographic Characteristics & Trends
  -- a component of the Baltimore-Columbia-Towson, MD metropolitan area [12580] -- 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	245,224	246,730	248,585	248,969	249,430	249,661	250,439	252,160	6,936
Births	...	2,776	2,611	2,651	2,658	2,820	2,676	2,713	2,701
Deaths	...	1,840	1,845	2,019	1,924	2,006	2,089	2,130	1,979
Natural Increase	...	936	766	632	734	814	587	583	722
Net Migration	...	602	1,117	-232	-254	-575	195	1,156	287
International	...	274	347	254	274	313	294	271	290
Domestic	...	328	770	-486	-528	-888	-99	885	-3

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	245,224	246,730	248,585	248,969	249,430	249,661	250,439	252,160	6,936
Male	119,936	120,573	121,632	121,883	122,082	122,065	122,495	123,332	3,396
Female	125,288	126,157	126,953	127,086	127,348	127,596	127,944	128,828	3,540
Group Quarters	...	2,740	2,741	2,750	2,758	2,761	2,749	2,749	-14

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	245,224	246,730	248,585	248,969	249,430	249,661	250,439	252,160	6,936
White alone	201,053	201,605	202,372	202,156	201,832	201,086	200,802	200,810	-243
Black alone	31,688	32,056	32,507	32,691	33,156	33,835	34,448	35,706	4,018
AIAN alone	691	719	749	759	754	761	789	789	98
Asian alone	6,003	6,433	6,806	7,041	7,198	7,378	7,566	7,755	1,752
NHOPI alone	248	243	226	228	241	233	233	247	-1
Two+ Races	5,541	5,674	5,925	6,094	6,249	6,368	6,601	6,853	1,312
Hispanic (any race)	8,697	9,090	9,477	9,739	10,251	10,520	11,018	11,516	2,819

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	252,160	200,810	35,706	789	7,755	247	6,853	11,516
Age 0-4	14,173	10,379	2,425	43	368	18	940	1,016
Age 5-9	15,317	11,026	2,706	60	458	19	1,048	1,073
Age 10-14	16,507	11,853	2,890	53	638	13	1,060	1,041
Age 15-19	16,332	12,070	2,822	40	556	25	819	1,020
Age 20-24	14,992	11,413	2,551	42	393	16	577	882
Age 25-29	15,360	11,824	2,624	41	403	15	453	776
Age 30-34	16,033	12,688	2,383	69	549	29	315	1,088
Age 35-39	15,702	12,391	2,294	52	610	16	339	1,045
Age 40-44	14,796	11,524	2,347	55	590	22	258	943
Age 45-49	17,649	14,020	2,642	55	681	14	237	673
Age 50-54	19,564	16,028	2,631	61	618	12	214	584
Age 55-59	19,519	16,333	2,413	62	493	21	197	464
Age 60-64	16,443	14,044	1,745	49	444	8	153	308
Age 65-69	13,431	11,606	1,316	47	352	9	101	215
Age 70-74	10,511	9,330	832	20	264	7	58	179
Age 75-79	6,952	6,208	513	18	178	1	34	85
Age 80-84	4,358	3,937	291	11	86	2	31	58
Age 85 up	4,521	4,136	281	11	74	0	19	66

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Age 0000	2,779	2,762	2,601	2,629	2,639	2,801	2,661	2,701	-78
Age 0101	2,879	2,800	2,786	2,630	2,707	2,742	2,874	2,737	-142
Age 0202	3,010	2,902	2,832	2,845	2,726	2,737	2,847	2,967	-43
Age 0303	3,107	3,042	2,966	2,850	2,857	2,811	2,834	2,895	-212
Age 0404	3,121	3,070	3,088	2,969	2,875	2,908	2,862	2,873	-248
Age 0505	3,131	3,165	3,089	3,104	3,039	2,945	3,019	2,964	-167
Age 0606	3,171	3,125	3,162	3,098	3,128	3,038	2,953	3,013	-158
Age 0707	3,260	3,202	3,140	3,166	3,091	3,148	3,087	2,999	-261
Age 0808	3,300	3,278	3,235	3,164	3,199	3,117	3,167	3,109	-191
Age 0909	3,420	3,315	3,350	3,256	3,188	3,174	3,140	3,232	-188
Age 1010	3,581	3,416	3,337	3,395	3,269	3,220	3,213	3,207	-374
Age 1111	3,596	3,579	3,449	3,349	3,400	3,260	3,237	3,292	-304
Age 1212	3,556	3,596	3,603	3,451	3,367	3,385	3,313	3,261	-295
Age 1313	3,623	3,561	3,573	3,605	3,458	3,363	3,382	3,322	-301
Age 1414	3,625	3,658	3,601	3,587	3,602	3,409	3,382	3,425	-200
Age 1515	3,678	3,622	3,698	3,573	3,587	3,620	3,407	3,418	-260
Age 1616	3,681	3,659	3,620	3,664	3,569	3,596	3,594	3,464	-217
Age 1717	3,709	3,675	3,639	3,632	3,646	3,541	3,598	3,615	-94
Age 1818	3,317	3,301	3,287	3,237	3,196	3,205	3,119	3,203	-114
Age 1919	2,934	2,866	2,802	2,800	2,756	2,673	2,682	2,632	-302
Age 2020	2,963	2,940	2,935	2,881	2,881	2,887	2,778	2,829	-134
Age 2121	2,641	3,062	3,047	2,994	2,924	2,941	2,986	2,870	229
Age 2222	2,741	2,793	3,187	3,189	3,080	3,027	3,073	3,066	325
Age 2323	2,845	2,895	2,962	3,264	3,288	3,149	3,077	3,162	317
Age 2424	2,868	2,861	2,924	2,915	3,192	3,238	3,091	3,065	197
Age 2525	2,878	2,968	3,000	2,963	2,881	3,103	3,181	3,097	219
Age 2626	2,805	2,959	3,045	2,990	2,971	2,814	3,127	3,212	407
Age 2727	2,970	2,903	3,018	3,072	3,010	2,999	2,881	3,190	220
Age 2828	2,941	3,027	2,943	3,011	3,061	2,962	2,928	2,851	-90
Age 2929	2,825	2,997	3,099	2,982	3,044	3,067	3,024	3,010	185
Age 3030	2,813	2,927	3,071	3,099	3,029	3,091	3,104	3,055	242
Age 3131	2,740	2,836	2,979	3,135	3,105	3,086	3,185	3,198	458
Age 3232	2,848	2,751	2,941	3,023	3,127	3,176	3,174	3,247	399
Age 3333	2,790	2,855	2,730	2,985	3,074	3,126	3,203	3,259	469
Age 3434	2,754	2,820	2,855	2,783	3,030	3,160	3,245	3,274	520
Age 3535	2,831	2,743	2,839	2,864	2,798	3,103	3,211	3,322	491
Age 3636	2,854	2,834	2,772	2,840	2,878	2,855	3,126	3,264	410
Age 3737	2,989	2,905	2,851	2,779	2,866	2,896	2,913	3,238	249
Age 3838	3,248	2,977	2,921	2,824	2,799	2,911	2,924	2,942	-306
Age 3939	3,614	3,292	2,975	2,928	2,833	2,822	2,897	2,936	-678
Age 4040	3,650	3,616	3,332	2,998	2,951	2,865	2,838	2,939	-711
Age 4141	3,546	3,665	3,649	3,314	2,998	2,985	2,890	2,910	-636
Age 4242	3,583	3,545	3,686	3,668	3,331	2,972	3,016	2,946	-637
Age 4343	3,710	3,613	3,561	3,673	3,664	3,351	2,977	3,017	-693
Age 4444	3,799	3,700	3,621	3,512	3,630	3,654	3,327	2,984	-815
Age 4545	4,147	3,803	3,683	3,622	3,520	3,637	3,652	3,324	-823
Age 4646	4,288	4,121	3,785	3,668	3,609	3,466	3,629	3,653	-635
Age 4747	4,156	4,294	4,138	3,785	3,660	3,578	3,444	3,637	-519
Age 4848	4,143	4,157	4,316	4,151	3,760	3,617	3,601	3,451	-692
Age 4949	4,224	4,096	4,139	4,271	4,116	3,736	3,596	3,584	-640
Age 5050	4,244	4,216	4,082	4,117	4,240	4,118	3,712	3,585	-659
Age 5151	4,075	4,210	4,228	4,050	4,105	4,220	4,081	3,686	-389
Age 5252	4,043	4,092	4,233	4,211	4,011	4,081	4,181	4,090	47
Age 5353	3,846	4,004	4,094	4,216	4,196	3,913	4,039	4,148	302
Age 5454	3,712	3,844	4,013	4,039	4,182	4,155	3,895	4,055	343
Age 5555	3,644	3,718	3,823	3,968	4,004	4,095	4,045	3,840	196
Age 5656	3,364	3,626	3,725	3,811	3,978	3,961	4,072	4,020	656
Age 5757	3,416	3,334	3,604	3,691	3,773	3,908	3,911	4,021	605
Age 5858	3,149	3,394	3,314	3,577	3,644	3,724	3,837	3,877	728
Age 5959	2,995	3,148	3,358	3,284	3,531	3,571	3,683	3,761	766
Age 6060	2,946	2,972	3,142	3,298	3,204	3,479	3,508	3,634	688
Age 6161	2,960	2,917	2,937	3,114	3,249	3,154	3,414	3,456	496
Age 6262	2,950	2,924	2,876	2,882	3,068	3,146	3,107	3,342	392
Age 6363	3,178	2,893	2,850	2,807	2,838	2,958	3,063	3,002	-176
Age 6464	2,235	3,129	2,826	2,801	2,779	2,776	2,890	3,009	774
Age 6565	2,193	2,218	3,113	2,781	2,742	2,732	2,748	2,858	665
Age 6666	2,140	2,167	2,185	3,041	2,745	2,681	2,698	2,726	586
Age 6767	2,252	2,098	2,132	2,132	2,972	2,680	2,635	2,643	391
Age 6868	1,973	2,216	2,076	2,094	2,089	2,929	2,659	2,582	609
Age 6969	1,798	1,948	2,200	2,049	2,044	2,053	2,883	2,622	824
Age 7070	1,629	1,770	1,911	2,151	1,986	1,997	2,019	2,831	1,202
Age 7171	1,518	1,584	1,738	1,858	2,106	1,928	1,954	1,996	478
Age 7272	1,455	1,467	1,536	1,682	1,814	2,056	1,876	1,914	459
Age 7373	1,287	1,419	1,432	1,504	1,657	1,774	2,007	1,815	528
Age 7474	1,280	1,273	1,385	1,391	1,476	1,627	1,719	1,955	675
Age 7575	1,247	1,256	1,243	1,341	1,348	1,449	1,570	1,669	422
Age 7676	1,118	1,217	1,198	1,194	1,287	1,311	1,391	1,520	402
Age 7777	1,066	1,082	1,197	1,160	1,147	1,264	1,266	1,342	276
Age 7878	1,027	1,018	1,033	1,146	1,123	1,098	1,218	1,225	198
Age 7979	965	993	986	999	1,105	1,061	1,063	1,196	231
Age 8080	950	894	923	922	937	1,038	1,003	1,005	55
Age 8181	850	900	872	888	890	893	975	943	93
Age 8282	874	807	836	830	839	836	845	916	42
Age 8383	826	830	745	793	780	794	780	797	-29
Age 8484	709	758	765	676	735	725	718	697	-12
Age 8585	3,628	3,845	4,112	4,284	4,397	4,509	4,505	4,521	893
Age 0517	45,331	44,851	44,496	44,044	43,543	42,816	42,492	42,321	-3,010