County Population Estimates

Anne Arundel County, MD [24003] Demographic Characteristics & Trends
-- a component of the Baltimore-Columbia-Towson, MD metropolitan area [12580] -- click link to view metro S&O report

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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.
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Table 1. Population & Components of Change -- 2010-2017

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	539,234	544,973	550,636	556,007	560,452	564,390	568,916	573,235	34,001
Births	...	6,950	6,920	6,771	6,872	6,964	6,992	6,933	6,915
Deaths	...	3,747	3,879	3,981	4,024	4,192	4,259	4,435	4,074
Natural Increase	...	3,203	3,041	2,790	2,848	2,772	2,733	2,498	2,841
Net Migration	...	2,582	2,677	2,608	1,671	1,241	1,793	1,833	2,058
International	...	953	1,462	1,185	1,208	1,504	1,267	1,077	1,237
Domestic	...	1,629	1,215	1,423	463	-263	526	756	821

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	539,234	544,973	550,636	556,007	560,452	564,390	568,916	573,235	34,001
Male	266,631	269,410	272,422	275,202	277,749	279,784	281,909	284,101	17,470
Female	272,603	275,563	278,214	280,805	282,703	284,606	287,007	289,134	16,531
Group Quarters	...	14,165	14,098	14,054	14,712	15,006	14,956	14,964	756

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	539,234	544,973	550,636	556,007	560,452	564,390	568,916	573,235	34,001
White alone	418,085	421,126	424,171	426,512	427,639	427,875	428,168	428,274	10,189
Black alone	85,450	87,053	88,517	90,265	92,340	94,719	97,400	100,089	14,639
AIAN alone	2,112	2,146	2,196	2,229	2,323	2,361	2,445	2,495	383
Asian alone	18,828	19,409	19,917	20,639	21,273	21,963	22,850	23,678	4,850
NHOPI alone	613	615	635	653	680	707	728	701	88
Two+ Races	14,146	14,624	15,200	15,709	16,197	16,765	17,325	17,998	3,852
Hispanic (any race)	33,298	34,802	36,164	37,836	39,547	40,890	43,009	45,093	11,795

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	573,235	428,274	100,089	2,495	23,678	701	17,998	45,093
Age 0-4	35,002	24,135	6,714	177	1,340	61	2,575	5,023
Age 5-9	36,047	24,793	6,986	185	1,293	47	2,743	4,847
Age 10-14	35,324	24,618	6,928	182	1,240	41	2,315	3,874
Age 15-19	34,239	24,080	6,762	157	1,177	49	2,014	3,316
Age 20-24	37,304	26,869	6,990	187	1,522	54	1,682	3,772
Age 25-29	40,225	28,752	7,862	184	2,126	53	1,248	3,714
Age 30-34	41,507	29,975	7,924	200	2,238	81	1,089	4,026
Age 35-39	39,988	28,555	8,145	195	2,012	84	997	4,387
Age 40-44	35,013	24,823	7,330	204	1,847	44	765	3,382
Age 45-49	38,697	28,863	7,134	172	1,843	47	638	2,686
Age 50-54	41,996	32,466	7,139	158	1,645	41	547	2,012
Age 55-59	41,115	32,790	6,132	163	1,543	33	454	1,444
Age 60-64	34,515	27,946	4,785	110	1,307	31	336	1,002
Age 65-69	27,573	22,743	3,579	87	948	12	204	643
Age 70-74	22,075	18,819	2,324	45	698	8	181	399
Age 75-79	14,365	12,218	1,547	37	473	9	81	242
Age 80-84	8,876	7,601	939	28	243	4	61	167
Age 85 up	9,374	8,228	869	24	183	2	68	157

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Age 0000	6,918	6,952	6,882	6,733	6,830	6,919	6,965	6,890	-28
Age 0101	6,859	7,052	7,092	6,995	6,842	6,940	6,956	7,044	185
Age 0202	7,010	7,000	7,122	7,196	7,018	6,855	7,038	7,037	27
Age 0303	6,994	7,038	7,074	7,144	7,161	6,991	6,920	7,054	60
Age 0404	6,930	7,123	7,074	7,043	7,193	7,226	7,077	6,977	47
Age 0505	6,847	7,002	7,187	7,061	6,993	7,221	7,272	7,126	279
Age 0606	6,991	6,861	6,996	7,160	7,089	6,973	7,284	7,376	385
Age 0707	6,833	7,037	6,912	7,056	7,222	7,088	6,990	7,382	549
Age 0808	6,780	6,884	7,045	6,973	7,005	7,201	7,119	7,002	222
Age 0909	6,893	6,864	6,874	7,134	6,965	7,052	7,252	7,161	268
Age 1010	7,139	6,924	6,875	6,896	7,106	6,980	7,087	7,301	162
Age 1111	7,033	7,284	6,933	6,901	6,907	7,076	6,989	7,127	94
Age 1212	6,936	7,053	7,274	7,013	6,927	6,907	7,057	6,948	12
Age 1313	6,811	6,999	7,115	7,253	6,982	6,901	6,891	7,077	266
Age 1414	6,941	6,895	7,021	7,090	7,257	6,996	6,896	6,871	-70
Age 1515	7,121	6,942	6,910	7,022	7,054	7,238	6,977	6,916	-205
Age 1616	7,048	7,149	6,965	6,915	6,998	7,036	7,268	6,963	-85
Age 1717	7,134	7,018	7,137	7,020	6,918	7,036	7,054	7,260	126
Age 1818	6,705	6,707	6,581	6,633	6,526	6,426	6,580	6,594	-111
Age 1919	6,624	6,699	6,594	6,477	6,494	6,451	6,421	6,506	-118
Age 2020	7,200	7,236	7,399	7,298	7,205	7,263	7,324	7,212	12
Age 2121	6,924	7,455	7,600	7,778	7,633	7,538	7,713	7,617	693
Age 2222	7,040	7,006	7,598	7,775	7,796	7,653	7,575	7,704	664
Age 2323	7,179	6,862	6,944	7,465	7,472	7,544	7,441	7,334	155
Age 2424	7,239	7,141	7,018	7,045	7,569	7,453	7,543	7,437	198
Age 2525	7,368	7,452	7,295	7,333	7,427	7,878	7,695	7,809	441
Age 2626	7,311	7,532	7,644	7,573	7,587	7,672	8,031	7,900	589
Age 2727	7,502	7,547	7,799	7,883	7,783	7,874	7,932	8,254	752
Age 2828	7,593	7,629	7,631	7,981	8,118	8,010	8,017	8,098	505
Age 2929	7,432	7,625	7,780	7,733	8,132	8,153	8,155	8,164	732
Age 3030	7,612	7,589	7,728	7,844	7,870	8,304	8,282	8,261	649
Age 3131	7,107	7,743	7,673	7,905	7,882	7,929	8,432	8,300	1,193
Age 3232	6,941	7,253	7,839	7,854	7,995	8,067	8,027	8,600	1,659
Age 3333	6,785	7,068	7,307	7,994	7,872	8,069	8,147	8,076	1,291
Age 3434	6,629	6,943	7,252	7,457	8,166	7,999	8,123	8,270	1,641
Age 3535	6,906	6,663	7,054	7,311	7,530	8,241	8,109	8,242	1,336
Age 3636	6,643	7,011	6,776	7,091	7,413	7,611	8,272	8,247	1,604
Age 3737	6,870	6,641	7,094	6,827	7,170	7,475	7,578	8,329	1,459
Age 3838	7,334	6,886	6,708	7,124	6,899	7,178	7,568	7,621	287
Age 3939	7,913	7,364	6,879	6,768	7,104	6,856	7,179	7,549	-364
Age 4040	8,108	7,840	7,388	6,862	6,714	7,127	6,830	7,111	-997
Age 4141	7,684	8,176	7,946	7,415	6,882	6,727	7,155	6,907	-777
Age 4242	7,804	7,720	8,216	7,901	7,513	6,892	6,758	7,244	-560
Age 4343	7,945	7,793	7,764	8,209	7,926	7,509	6,979	6,799	-1,146
Age 4444	8,262	7,956	7,755	7,755	8,184	7,894	7,487	6,952	-1,310
Age 4545	8,787	8,260	7,933	7,687	7,685	8,137	7,833	7,442	-1,345
Age 4646	9,163	8,773	8,250	7,986	7,759	7,707	8,152	7,857	-1,306
Age 4747	8,936	9,119	8,788	8,221	7,956	7,687	7,675	8,129	-807
Age 4848	8,848	8,860	9,088	8,836	8,208	7,861	7,618	7,625	-1,223
Age 4949	8,871	8,867	8,841	9,073	8,858	8,185	7,876	7,644	-1,227
Age 5050	8,867	8,829	8,796	8,839	8,999	8,834	8,079	7,782	-1,085
Age 5151	8,574	8,837	8,733	8,807	8,796	8,996	8,789	8,066	-508
Age 5252	8,344	8,421	8,742	8,690	8,760	8,767	8,868	8,686	342
Age 5353	8,104	8,314	8,400	8,749	8,616	8,723	8,735	8,855	751
Age 5454	7,856	8,042	8,266	8,347	8,665	8,573	8,613	8,607	751
Age 5555	7,889	7,826	7,955	8,197	8,228	8,570	8,491	8,528	639
Age 5656	7,451	7,825	7,738	7,850	8,105	8,115	8,473	8,444	993
Age 5757	7,186	7,391	7,736	7,613	7,790	8,005	8,045	8,386	1,200
Age 5858	6,803	7,121	7,285	7,667	7,513	7,660	7,884	7,950	1,147
Age 5959	6,575	6,685	7,002	7,241	7,531	7,401	7,531	7,807	1,232
Age 6060	6,365	6,433	6,567	6,865	7,124	7,278	7,249	7,446	1,081
Age 6161	6,351	6,291	6,335	6,494	6,773	7,009	7,195	7,139	788
Age 6262	6,422	6,215	6,117	6,184	6,362	6,620	6,854	7,032	610
Age 6363	6,942	6,301	6,090	5,936	6,000	6,195	6,413	6,636	-306
Age 6464	4,890	6,782	6,181	5,944	5,815	5,824	6,051	6,262	1,372
Age 6565	4,855	4,748	6,647	6,026	5,776	5,678	5,685	5,928	1,073
Age 6666	4,732	4,742	4,642	6,496	5,872	5,606	5,552	5,512	780
Age 6767	4,825	4,630	4,648	4,516	6,342	5,718	5,461	5,378	553
Age 6868	4,197	4,746	4,541	4,578	4,473	6,215	5,574	5,344	1,147
Age 6969	3,740	4,086	4,636	4,411	4,463	4,338	6,028	5,411	1,671
Age 7070	3,432	3,672	4,025	4,540	4,311	4,345	4,205	5,880	2,448
Age 7171	3,243	3,356	3,593	3,915	4,475	4,179	4,232	4,098	855
Age 7272	2,969	3,191	3,296	3,491	3,804	4,306	4,047	4,103	1,134
Age 7373	2,651	2,875	3,129	3,185	3,373	3,683	4,204	3,920	1,269
Age 7474	2,550	2,601	2,810	3,046	3,113	3,338	3,590	4,074	1,524
Age 7575	2,444	2,457	2,522	2,708	2,954	2,983	3,231	3,479	1,035
Age 7676	2,223	2,363	2,385	2,435	2,627	2,878	2,886	3,107	884
Age 7777	2,226	2,138	2,297	2,314	2,340	2,526	2,788	2,782	556
Age 7878	2,181	2,169	2,049	2,181	2,222	2,241	2,432	2,680	499
Age 7979	1,960	2,091	2,071	1,941	2,079	2,107	2,149	2,317	357
Age 8080	1,953	1,891	2,003	1,971	1,853	1,977	2,015	2,083	130
Age 8181	1,763	1,856	1,784	1,917	1,894	1,783	1,883	1,896	133
Age 8282	1,683	1,669	1,760	1,702	1,803	1,798	1,671	1,796	113
Age 8383	1,555	1,537	1,537	1,610	1,596	1,695	1,684	1,532	-23
Age 8484	1,388	1,442	1,458	1,437	1,490	1,487	1,569	1,569	181
Age 8585	7,562	7,907	8,210	8,465	8,720	8,933	9,161	9,374	1,812
Age 0517	90,507	90,912	91,244	91,494	91,423	91,705	92,136	92,510	2,003