Baltimore County, MD [24005] 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	806,405	813,280	818,583	823,364	826,545	829,379	831,431	832,468	26,063
Births	...	9,950	9,664	9,539	9,852	10,071	9,888	9,798	9,823
Deaths	...	7,589	7,510	7,845	7,646	8,126	8,431	8,437	7,941
Natural Increase	...	2,361	2,154	1,694	2,206	1,945	1,457	1,361	1,883
Net Migration	...	4,638	3,285	3,210	1,072	965	599	-321	1,921
International	...	3,506	3,337	3,182	3,244	3,572	3,586	3,546	3,425
Domestic	...	1,132	-52	28	-2,172	-2,607	-2,987	-3,867	-1,504

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	806,405	813,280	818,583	823,364	826,545	829,379	831,431	832,468	26,063
Male	380,973	384,603	387,367	389,817	391,566	393,173	394,499	394,898	13,925
Female	425,432	428,677	431,216	433,547	434,979	436,206	436,932	437,570	12,138
Group Quarters	...	21,375	21,222	21,290	21,436	21,434	21,426	21,427	643

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	806,405	813,280	818,583	823,364	826,545	829,379	831,431	832,468	26,063
White alone	530,815	530,737	529,796	527,538	524,699	521,073	516,044	510,759	-20,056
Black alone	213,624	217,904	221,321	225,630	229,209	233,376	238,659	243,212	29,588
AIAN alone	3,226	3,287	3,353	3,410	3,428	3,490	3,555	3,643	417
Asian alone	41,433	43,291	45,252	47,191	48,871	50,504	51,790	52,941	11,508
NHOPI alone	522	530	551	570	599	615	643	639	117
Two+ Races	16,785	17,531	18,310	19,025	19,739	20,321	20,740	21,274	4,489
Hispanic (any race)	34,134	36,104	37,587	38,964	40,778	42,549	44,005	45,895	11,761

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	832,468	510,759	243,212	3,643	52,941	639	21,274	45,895
Age 0-4	49,099	25,811	16,364	320	3,498	79	3,027	5,502
Age 5-9	49,950	25,866	17,063	267	3,617	61	3,076	4,715
Age 10-14	50,372	26,381	17,464	262	3,383	43	2,839	4,272
Age 15-19	52,968	28,840	18,220	251	3,318	33	2,306	3,639
Age 20-24	51,399	28,552	17,479	255	3,242	32	1,839	3,282
Age 25-29	58,211	32,824	19,050	262	4,440	48	1,587	3,496
Age 30-34	57,008	32,848	17,714	284	4,759	58	1,345	3,869
Age 35-39	52,907	30,203	16,824	289	4,490	55	1,046	4,157
Age 40-44	48,027	26,966	15,591	252	4,316	41	861	3,356
Age 45-49	52,492	30,585	16,914	266	3,893	61	773	2,607
Age 50-54	56,291	35,857	16,401	232	3,023	38	740	2,045
Age 55-59	59,726	40,791	15,188	205	2,948	34	560	1,642
Age 60-64	54,570	38,896	12,485	170	2,559	17	443	1,099
Age 65-69	44,811	31,868	10,383	137	2,073	13	337	780
Age 70-74	33,012	24,543	6,697	81	1,455	10	226	539
Age 75-79	22,278	17,046	4,120	39	932	11	130	326
Age 80-84	16,649	13,363	2,598	39	574	5	70	269
Age 85 up	22,698	19,519	2,657	32	421	0	69	300

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Age 0000	9,542	9,912	9,624	9,522	9,822	10,052	9,882	9,788	246
Age 0101	9,590	9,786	10,036	9,647	9,531	9,786	10,068	9,850	260
Age 0202	9,754	9,730	9,809	10,088	9,769	9,555	9,846	10,049	295
Age 0303	9,786	9,829	9,830	9,854	10,032	9,686	9,594	9,785	-1
Age 0404	9,597	9,922	9,923	9,884	9,905	10,016	9,790	9,627	30
Age 0505	9,578	9,660	10,013	9,975	9,889	9,886	10,057	9,822	244
Age 0606	9,494	9,669	9,695	10,040	9,944	9,862	9,880	10,125	631
Age 0707	9,346	9,498	9,799	9,761	10,068	9,922	9,901	9,870	524
Age 0808	9,367	9,498	9,597	9,893	9,897	10,138	10,028	10,006	639
Age 0909	9,701	9,410	9,545	9,608	9,926	10,049	10,202	10,127	426
Age 1010	9,835	9,825	9,474	9,695	9,759	9,962	10,136	10,296	461
Age 1111	9,786	9,952	9,902	9,522	9,737	9,801	10,018	10,126	340
Age 1212	9,704	9,876	10,037	10,056	9,642	9,844	9,934	10,072	368
Age 1313	9,795	9,809	9,962	10,086	10,082	9,720	9,909	9,983	188
Age 1414	10,087	9,855	9,899	10,008	10,159	10,182	9,737	9,895	-192
Age 1515	10,242	10,117	9,892	9,972	10,019	10,188	10,156	9,751	-491
Age 1616	10,627	10,375	10,293	10,012	10,110	10,159	10,341	10,321	-306
Age 1717	11,027	10,804	10,552	10,415	10,110	10,140	10,208	10,533	-494
Age 1818	11,962	12,150	11,822	11,637	11,527	11,242	11,303	11,326	-636
Age 1919	12,145	11,667	11,711	11,483	11,244	11,128	10,893	11,037	-1,108
Age 2020	12,191	11,658	10,902	11,033	10,764	10,578	10,523	10,225	-1,966
Age 2121	11,840	11,998	11,142	10,601	10,707	10,394	10,182	10,207	-1,633
Age 2222	11,617	11,569	11,788	10,960	10,340	10,460	10,183	9,957	-1,660
Age 2323	11,217	11,859	11,714	11,904	10,984	10,502	10,532	10,238	-979
Age 2424	11,080	11,531	11,895	12,019	12,127	11,372	10,746	10,772	-308
Age 2525	11,099	11,319	11,699	12,089	12,107	12,121	11,438	10,861	-238
Age 2626	10,704	11,268	11,471	11,805	11,991	11,997	12,205	11,489	785
Age 2727	10,896	10,926	11,466	11,556	11,815	12,039	12,008	12,263	1,367
Age 2828	10,869	11,034	11,085	11,635	11,581	11,824	12,043	11,823	954
Age 2929	10,552	10,958	11,064	11,150	11,690	11,561	11,779	11,775	1,223
Age 3030	10,825	10,653	11,090	11,141	11,187	11,633	11,487	11,717	892
Age 3131	10,159	10,936	10,818	11,013	11,189	11,168	11,561	11,441	1,282
Age 3232	9,860	10,199	10,932	11,011	11,101	11,222	11,253	11,502	1,642
Age 3333	9,758	9,869	10,321	10,931	11,028	11,216	11,239	11,218	1,460
Age 3434	9,451	9,722	9,918	10,291	10,944	11,083	11,186	11,130	1,679
Age 3535	9,702	9,541	9,819	9,959	10,293	10,943	10,919	11,117	1,415
Age 3636	9,205	9,782	9,557	9,884	9,969	10,329	10,896	10,883	1,678
Age 3737	9,563	9,267	9,895	9,617	9,821	9,968	10,332	10,855	1,292
Age 3838	10,104	9,525	9,295	9,923	9,622	9,793	9,878	10,219	115
Age 3939	10,687	10,109	9,557	9,332	9,930	9,628	9,808	9,833	-854
Age 4040	10,835	10,730	10,207	9,572	9,297	9,895	9,513	9,744	-1,091
Age 4141	10,344	10,886	10,799	10,270	9,651	9,276	9,906	9,489	-855
Age 4242	10,511	10,424	11,017	10,877	10,246	9,735	9,338	9,832	-679
Age 4343	10,675	10,488	10,446	11,071	10,864	10,154	9,700	9,287	-1,388
Age 4444	10,904	10,652	10,496	10,395	10,996	10,845	10,121	9,675	-1,229
Age 4545	11,601	10,909	10,729	10,492	10,379	10,966	10,833	10,100	-1,501
Age 4646	11,943	11,613	10,918	10,731	10,437	10,399	10,928	10,721	-1,222
Age 4747	11,791	11,932	11,537	10,936	10,778	10,480	10,454	10,870	-921
Age 4848	11,792	11,851	11,954	11,574	10,934	10,756	10,397	10,401	-1,391
Age 4949	12,223	11,780	11,862	11,954	11,536	10,947	10,734	10,400	-1,823
Age 5050	12,512	12,234	11,737	11,805	11,853	11,477	10,842	10,680	-1,832
Age 5151	12,418	12,566	12,245	11,775	11,889	11,846	11,532	10,824	-1,594
Age 5252	12,432	12,374	12,493	12,157	11,717	11,804	11,745	11,414	-1,018
Age 5353	12,374	12,345	12,355	12,499	12,094	11,760	11,725	11,694	-680
Age 5454	11,944	12,290	12,324	12,338	12,416	12,107	11,727	11,679	-265
Age 5555	11,887	11,890	12,258	12,334	12,245	12,350	12,091	11,696	-191
Age 5656	11,219	11,798	11,799	12,224	12,211	12,162	12,208	12,035	816
Age 5757	10,800	11,129	11,756	11,705	12,176	12,098	12,022	12,136	1,336
Age 5858	10,463	10,754	11,046	11,698	11,585	12,086	12,006	11,934	1,471
Age 5959	10,391	10,367	10,681	10,964	11,578	11,492	11,924	11,925	1,534
Age 6060	9,971	10,318	10,326	10,616	10,858	11,443	11,388	11,792	1,821
Age 6161	9,869	9,846	10,181	10,167	10,543	10,711	11,279	11,235	1,366
Age 6262	9,958	9,733	9,724	10,103	10,028	10,399	10,572	11,190	1,232
Age 6363	10,208	9,828	9,618	9,502	9,894	9,807	10,184	10,394	186
Age 6464	7,269	10,039	9,664	9,450	9,396	9,731	9,586	9,959	2,690
Age 6565	6,928	7,200	9,878	9,519	9,311	9,276	9,560	9,410	2,482
Age 6666	6,677	6,836	7,082	9,684	9,317	9,108	9,036	9,412	2,735
Age 6767	7,166	6,546	6,723	6,934	9,510	9,037	8,832	8,812	1,646
Age 6868	6,211	7,059	6,392	6,612	6,791	9,299	8,798	8,618	2,407
Age 6969	5,568	6,088	6,899	6,251	6,504	6,633	9,030	8,559	2,991
Age 7070	5,145	5,465	5,975	6,785	6,141	6,357	6,495	8,820	3,675
Age 7171	5,024	5,025	5,342	5,841	6,616	6,024	6,214	6,328	1,304
Age 7272	5,008	4,909	4,931	5,199	5,697	6,453	5,850	6,025	1,017
Age 7373	4,585	4,922	4,791	4,815	5,045	5,567	6,319	5,678	1,093
Age 7474	4,473	4,485	4,810	4,701	4,670	4,937	5,442	6,161	1,688
Age 7575	4,422	4,321	4,322	4,662	4,525	4,515	4,760	5,302	880
Age 7676	4,054	4,320	4,217	4,214	4,518	4,381	4,401	4,619	565
Age 7777	4,140	3,913	4,191	4,083	4,037	4,340	4,231	4,243	103
Age 7878	4,119	4,008	3,784	4,027	3,977	3,899	4,196	4,071	-48
Age 7979	4,058	3,983	3,890	3,637	3,910	3,824	3,762	4,043	-15
Age 8080	4,168	3,939	3,865	3,769	3,531	3,788	3,700	3,623	-545
Age 8181	3,989	4,002	3,804	3,689	3,597	3,423	3,612	3,532	-457
Age 8282	3,849	3,755	3,764	3,575	3,483	3,379	3,232	3,417	-432
Age 8383	3,761	3,663	3,552	3,557	3,385	3,271	3,218	3,088	-673
Age 8484	3,520	3,498	3,390	3,313	3,320	3,153	3,025	2,989	-531
Age 8585	20,862	21,500	21,966	22,276	22,697	22,840	22,882	22,698	1,836
Age 0517	128,589	128,348	128,660	129,043	129,342	129,853	130,507	130,927	2,338