Baltimore city, MD [24510] 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	621,026	620,839	623,387	623,280	624,062	623,031	616,958	611,648	-9,378
Births	...	8,952	9,008	9,009	8,744	8,930	8,477	8,340	8,780
Deaths	...	6,271	6,075	6,408	6,176	6,311	6,632	6,711	6,369
Natural Increase	...	2,681	2,933	2,601	2,568	2,619	1,845	1,629	2,411
Net Migration	...	-2,841	-314	-2,675	-1,700	-3,625	-7,920	-6,927	-3,715
International	...	2,117	2,074	2,008	2,065	2,267	2,291	2,282	2,158
Domestic	...	-4,958	-2,388	-4,683	-3,765	-5,892	-10,211	-9,209	-5,872

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	621,026	620,839	623,387	623,280	624,062	623,031	616,958	611,648	-9,378
Male	292,543	292,483	293,595	293,349	293,710	292,923	289,714	287,234	-5,309
Female	328,483	328,356	329,792	329,931	330,352	330,108	327,244	324,414	-4,069
Group Quarters	...	25,502	25,289	25,211	26,115	26,124	26,089	26,111	655

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	621,026	620,839	623,387	623,280	624,062	623,031	616,958	611,648	-9,378
White alone	192,953	192,899	194,333	194,347	194,714	194,735	193,600	193,024	71
Black alone	398,321	397,502	397,888	397,611	397,431	395,638	390,493	385,384	-12,937
AIAN alone	2,727	2,745	2,735	2,693	2,778	2,785	2,751	2,721	-6
Asian alone	14,976	15,401	15,912	15,974	16,191	16,696	16,940	17,213	2,237
NHOPI alone	476	472	499	514	497	480	480	475	-1
Two+ Races	11,573	11,820	12,020	12,141	12,451	12,697	12,694	12,831	1,258
Hispanic (any race)	26,081	26,877	27,852	28,695	29,912	30,871	31,671	32,495	6,414

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	611,648	193,024	385,384	2,721	17,213	475	12,831	32,495
Age 0-4	39,143	11,601	24,289	243	1,031	50	1,929	4,407
Age 5-9	35,649	8,257	24,940	196	667	31	1,558	3,419
Age 10-14	32,558	6,645	24,085	168	446	21	1,193	2,547
Age 15-19	35,432	8,163	25,002	141	1,087	26	1,013	1,892
Age 20-24	42,674	12,050	27,612	147	1,784	22	1,059	2,284
Age 25-29	62,719	24,730	33,608	207	2,868	37	1,269	3,257
Age 30-34	54,705	23,510	27,244	220	2,656	47	1,028	3,368
Age 35-39	42,121	15,597	23,850	166	1,684	56	768	2,879
Age 40-44	32,916	11,116	20,032	183	1,022	37	526	2,255
Age 45-49	35,091	10,580	22,895	188	865	34	529	1,809
Age 50-54	38,302	10,909	26,003	188	718	35	449	1,359
Age 55-59	41,129	11,319	28,529	180	587	34	480	983
Age 60-64	36,284	11,032	24,207	142	537	17	349	722
Age 65-69	29,400	9,465	19,101	135	426	9	264	534
Age 70-74	19,725	6,819	12,403	83	257	4	159	322
Age 75-79	13,692	4,392	8,842	68	269	6	115	187
Age 80-84	9,469	2,930	6,315	32	132	2	58	124
Age 85 up	10,639	3,909	6,427	34	177	7	85	147

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Age 0000	8,592	8,903	8,968	8,984	8,704	8,904	8,446	8,279	-313
Age 0101	8,419	8,283	8,588	8,662	8,696	8,307	8,253	7,999	-420
Age 0202	8,382	8,170	8,126	8,294	8,268	8,280	7,860	7,888	-494
Age 0303	8,037	8,216	8,006	7,937	8,092	8,031	7,864	7,505	-532
Age 0404	7,671	7,858	8,056	7,872	7,754	7,834	7,679	7,472	-199
Age 0505	7,384	7,517	7,735	7,905	7,731	7,519	7,420	7,311	-73
Age 0606	7,187	7,263	7,521	7,664	7,802	7,613	7,231	7,040	-147
Age 0707	6,917	7,109	7,157	7,384	7,515	7,638	7,366	6,960	43
Age 0808	6,763	6,691	7,053	7,115	7,254	7,398	7,461	7,115	352
Age 0909	7,054	6,685	6,674	6,966	7,054	7,041	7,191	7,223	169
Age 1010	7,250	6,964	6,628	6,586	6,840	6,965	6,785	6,954	-296
Age 1111	7,022	7,089	6,858	6,513	6,500	6,692	6,732	6,593	-429
Age 1212	6,722	6,874	7,028	6,726	6,419	6,347	6,479	6,545	-177
Age 1313	6,709	6,636	6,817	6,970	6,682	6,328	6,248	6,319	-390
Age 1414	6,634	6,538	6,545	6,705	6,881	6,625	6,228	6,147	-487
Age 1515	7,011	6,521	6,513	6,423	6,627	6,722	6,453	6,115	-896
Age 1616	7,399	6,938	6,444	6,457	6,412	6,553	6,608	6,326	-1,073
Age 1717	7,869	7,435	6,921	6,453	6,490	6,413	6,479	6,525	-1,344
Age 1818	9,899	9,429	8,950	8,414	7,969	7,940	7,902	7,874	-2,025
Age 1919	11,356	10,672	10,100	9,622	9,296	8,796	8,711	8,592	-2,764
Age 2020	11,072	10,394	9,648	9,162	8,803	8,327	7,724	7,719	-3,353
Age 2121	11,065	10,836	10,250	9,450	9,030	8,552	8,065	7,483	-3,582
Age 2222	10,938	10,944	10,638	10,144	9,442	8,853	8,358	7,971	-2,967
Age 2323	11,350	11,385	11,400	11,311	10,952	10,236	9,609	9,088	-2,262
Age 2424	11,791	11,753	11,905	11,987	12,054	11,869	11,115	10,413	-1,378
Age 2525	12,154	12,021	12,246	12,228	12,389	12,643	12,380	11,574	-580
Age 2626	11,769	12,248	12,399	12,607	12,582	12,959	12,875	12,845	1,076
Age 2727	11,786	11,837	12,374	12,521	12,758	12,699	13,003	12,880	1,094
Age 2828	11,391	11,638	11,728	12,122	12,295	12,595	12,562	12,959	1,568
Age 2929	10,882	11,310	11,540	11,657	12,006	12,150	12,393	12,461	1,579
Age 3030	10,782	10,706	11,153	11,259	11,439	11,662	11,876	12,104	1,322
Age 3131	9,799	10,580	10,591	10,924	11,018	11,178	11,224	11,614	1,815
Age 3232	9,135	9,622	10,410	10,334	10,555	10,662	10,628	10,923	1,788
Age 3333	8,649	8,969	9,380	10,130	10,034	10,245	10,278	10,158	1,509
Age 3434	8,031	8,394	8,816	9,109	9,800	9,610	9,741	9,906	1,875
Age 3535	7,806	7,808	8,104	8,518	8,762	9,406	9,234	9,272	1,466
Age 3636	7,268	7,651	7,801	7,939	8,278	8,550	9,029	8,851	1,583
Age 3737	7,220	7,071	7,393	7,487	7,654	7,963	8,120	8,621	1,401
Age 3838	7,439	7,123	7,016	7,350	7,402	7,508	7,652	7,964	525
Age 3939	7,815	7,235	7,050	6,874	7,195	7,085	7,251	7,413	-402
Age 4040	7,969	7,675	7,145	6,888	6,756	6,942	6,892	6,974	-995
Age 4141	7,530	7,805	7,800	6,998	6,791	6,603	6,754	6,671	-859
Age 4242	7,642	7,489	7,841	7,595	6,990	6,638	6,407	6,638	-1,004
Age 4343	7,724	7,650	7,471	7,677	7,578	6,957	6,477	6,319	-1,405
Age 4444	7,958	7,652	7,547	7,351	7,564	7,435	6,796	6,314	-1,644
Age 4545	8,483	7,915	7,625	7,585	7,344	7,511	7,358	6,667	-1,816
Age 4646	8,638	8,342	7,822	7,528	7,465	7,227	7,324	7,176	-1,462
Age 4747	8,525	8,577	8,335	7,769	7,452	7,358	7,047	7,188	-1,337
Age 4848	8,678	8,460	8,579	8,226	7,670	7,334	7,262	6,892	-1,786
Age 4949	9,011	8,619	8,449	8,461	8,236	7,559	7,204	7,168	-1,843
Age 5050	9,185	8,976	8,608	8,406	8,460	8,171	7,456	7,075	-2,110
Age 5151	9,032	9,139	8,895	8,605	8,323	8,360	8,048	7,397	-1,635
Age 5252	8,944	8,997	9,067	8,870	8,543	8,239	8,230	7,925	-1,019
Age 5353	8,646	8,874	8,899	8,886	8,752	8,398	8,014	8,047	-599
Age 5454	8,260	8,602	8,803	8,834	8,857	8,688	8,241	7,858	-402
Age 5555	8,063	8,195	8,533	8,713	8,780	8,799	8,529	8,112	49
Age 5656	7,748	7,942	8,118	8,460	8,631	8,641	8,544	8,288	540
Age 5757	7,718	7,659	7,845	8,024	8,361	8,532	8,482	8,317	599
Age 5858	7,265	7,631	7,586	7,781	7,960	8,251	8,390	8,267	1,002
Age 5959	7,311	7,129	7,502	7,452	7,645	7,781	8,035	8,145	834
Age 6060	7,055	7,242	7,033	7,409	7,351	7,567	7,618	7,889	834
Age 6161	6,643	6,966	7,186	6,933	7,318	7,250	7,416	7,448	805
Age 6262	6,492	6,548	6,929	7,039	6,813	7,233	7,104	7,217	725
Age 6363	6,384	6,334	6,475	6,822	6,909	6,673	7,052	6,896	512
Age 6464	4,796	6,239	6,158	6,351	6,587	6,749	6,493	6,834	2,038
Age 6565	4,862	4,644	6,053	5,988	6,169	6,374	6,513	6,242	1,380
Age 6666	4,628	4,720	4,495	5,871	5,788	5,987	6,155	6,275	1,647
Age 6767	4,681	4,521	4,600	4,361	5,731	5,679	5,857	5,989	1,308
Age 6868	4,173	4,524	4,358	4,435	4,176	5,508	5,489	5,609	1,436
Age 6969	3,820	3,999	4,367	4,183	4,276	4,039	5,280	5,285	1,465
Age 7070	3,666	3,682	3,866	4,204	4,013	4,134	3,870	5,098	1,432
Age 7171	3,423	3,521	3,563	3,714	4,029	3,853	3,963	3,732	309
Age 7272	3,274	3,297	3,411	3,452	3,619	3,911	3,699	3,795	521
Age 7373	3,104	3,124	3,161	3,259	3,325	3,453	3,729	3,533	429
Age 7474	3,016	2,972	2,985	3,035	3,137	3,221	3,312	3,567	551
Age 7575	2,899	2,853	2,839	2,856	2,911	3,031	3,064	3,131	232
Age 7676	2,719	2,761	2,709	2,704	2,727	2,819	2,879	2,934	215
Age 7777	2,799	2,584	2,608	2,580	2,589	2,591	2,691	2,759	-40
Age 7878	2,533	2,619	2,475	2,472	2,433	2,425	2,457	2,541	8
Age 7979	2,411	2,380	2,474	2,306	2,331	2,295	2,301	2,327	-84
Age 8080	2,317	2,253	2,242	2,321	2,183	2,217	2,169	2,160	-157
Age 8181	2,190	2,142	2,123	2,059	2,164	2,023	2,061	2,028	-162
Age 8282	2,085	2,005	1,953	1,918	1,905	1,980	1,845	1,893	-192
Age 8383	2,037	1,905	1,859	1,791	1,762	1,783	1,828	1,693	-344
Age 8484	1,848	1,859	1,744	1,682	1,654	1,626	1,644	1,695	-153
Age 8585	10,422	10,501	10,721	10,661	10,570	10,488	10,466	10,639	217
Age 0517	91,921	90,260	89,894	89,867	90,207	89,854	88,681	87,173	-4,748