Dakota County, MN [27037] Demographic Characteristics & Trends
  -- a component of the Minneapolis-St. Paul-Bloomington, MN-WI metropolitan area [33460] -- 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	399,190	401,799	404,749	408,138	411,845	414,120	417,421	421,751	22,561
Births	...	5,122	5,219	5,156	5,291	5,307	5,247	5,219	5,223
Deaths	...	2,268	2,136	2,319	2,327	2,460	2,465	2,575	2,364
Natural Increase	...	2,854	3,083	2,837	2,964	2,847	2,782	2,644	2,859
Net Migration	...	-232	-115	589	788	-560	521	1,709	386
International	...	617	638	577	660	765	759	753	681
Domestic	...	-849	-753	12	128	-1,325	-238	956	-296

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	399,190	401,799	404,749	408,138	411,845	414,120	417,421	421,751	22,561
Male	195,972	197,314	198,746	200,707	202,471	203,673	205,397	207,757	11,785
Female	203,218	204,485	206,003	207,431	209,374	210,447	212,024	213,994	10,776
Group Quarters	...	2,848	2,851	2,843	2,840	2,832	2,831	2,831	-22

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	399,190	401,799	404,749	408,138	411,845	414,120	417,421	421,751	22,561
White alone	349,652	350,781	352,137	353,701	355,359	355,148	355,854	357,089	7,437
Black alone	19,472	20,244	21,175	22,241	23,354	24,777	26,424	28,190	8,718
AIAN alone	2,035	2,104	2,123	2,161	2,226	2,291	2,372	2,495	460
Asian alone	17,967	18,354	18,635	19,034	19,493	20,120	20,653	21,376	3,409
NHOPI alone	286	318	296	297	290	307	328	337	51
Two+ Races	9,778	9,998	10,383	10,704	11,123	11,477	11,790	12,264	2,486
Hispanic (any race)	24,190	24,892	25,621	26,424	27,167	27,737	28,868	29,905	5,715

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	421,751	357,089	28,190	2,495	21,376	337	12,264	29,905
Age 0-4	27,569	21,124	2,842	206	1,571	44	1,782	2,899
Age 5-9	28,625	21,602	3,057	306	1,563	31	2,066	3,341
Age 10-14	29,680	23,072	2,747	230	1,589	15	2,027	3,363
Age 15-19	26,711	21,790	1,989	155	1,285	22	1,470	2,925
Age 20-24	24,619	20,103	1,926	214	1,228	11	1,137	2,458
Age 25-29	25,743	20,569	2,414	209	1,743	28	780	2,136
Age 30-34	29,282	23,774	2,436	198	2,175	26	673	2,277
Age 35-39	29,735	24,441	2,364	166	2,083	29	652	2,523
Age 40-44	25,940	21,426	1,968	164	1,941	25	416	2,045
Age 45-49	28,612	24,659	1,739	155	1,665	25	369	1,800
Age 50-54	30,414	27,375	1,398	151	1,182	28	280	1,324
Age 55-59	31,587	29,015	1,202	112	1,016	19	223	1,041
Age 60-64	25,841	23,936	875	67	796	14	153	634
Age 65-69	20,195	18,761	622	69	617	10	116	429
Age 70-74	14,467	13,640	296	38	430	6	57	292
Age 75-79	9,496	9,030	163	36	237	2	28	166
Age 80-84	6,248	5,998	78	13	133	2	24	126
Age 85 up	6,987	6,774	74	6	122	0	11	126

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Age 0000	5,368	5,118	5,203	5,124	5,265	5,274	5,224	5,204	-164
Age 0101	5,435	5,466	5,187	5,266	5,356	5,464	5,404	5,376	-59
Age 0202	5,607	5,507	5,516	5,245	5,400	5,483	5,563	5,586	-21
Age 0303	5,702	5,720	5,547	5,613	5,356	5,540	5,605	5,660	-42
Age 0404	5,699	5,710	5,669	5,631	5,665	5,388	5,640	5,743	44
Age 0505	5,821	5,728	5,720	5,694	5,679	5,653	5,465	5,714	-107
Age 0606	5,837	5,828	5,738	5,745	5,729	5,768	5,706	5,546	-291
Age 0707	5,809	5,848	5,832	5,767	5,765	5,741	5,822	5,738	-71
Age 0808	5,691	5,804	5,905	5,846	5,813	5,782	5,653	5,877	186
Age 0909	5,757	5,645	5,830	5,939	5,833	5,769	5,822	5,750	-7
Age 1010	5,926	5,770	5,655	5,819	5,969	5,853	5,842	5,836	-90
Age 1111	5,828	5,962	5,802	5,677	5,845	5,973	5,882	5,885	57
Age 1212	5,928	5,842	5,977	5,832	5,697	5,856	5,967	6,027	99
Age 1313	6,024	5,903	5,852	6,005	5,878	5,727	5,895	5,993	-31
Age 1414	6,028	5,991	5,863	5,810	6,079	5,836	5,713	5,939	-89
Age 1515	6,111	6,006	5,975	5,926	5,809	6,046	5,864	5,715	-396
Age 1616	6,219	6,066	5,997	5,970	5,890	5,787	6,098	5,875	-344
Age 1717	6,111	6,210	6,054	5,955	5,991	5,899	5,772	6,068	-43
Age 1818	5,269	5,268	5,388	5,189	5,159	5,139	5,084	4,967	-302
Age 1919	3,813	4,331	4,312	4,340	4,243	4,156	4,151	4,086	273
Age 2020	3,847	3,977	4,507	4,573	4,610	4,462	4,433	4,409	562
Age 2121	3,864	4,019	4,153	4,708	4,770	4,820	4,676	4,665	801
Age 2222	4,194	4,121	4,334	4,372	4,969	5,045	5,142	4,989	795
Age 2323	4,715	4,407	4,373	4,604	4,571	5,084	5,224	5,280	565
Age 2424	5,103	4,818	4,721	4,616	4,770	4,746	5,229	5,276	173
Age 2525	5,392	5,239	4,910	4,847	4,700	4,879	4,837	5,342	-50
Age 2626	5,317	5,472	5,312	5,041	4,901	4,849	5,001	4,963	-354
Age 2727	5,325	5,490	5,642	5,411	5,193	4,958	4,926	5,187	-138
Age 2828	5,546	5,365	5,495	5,704	5,456	5,226	5,036	5,088	-458
Age 2929	5,663	5,541	5,411	5,602	5,810	5,511	5,259	5,163	-500
Age 3030	5,766	5,743	5,583	5,470	5,671	5,847	5,553	5,466	-300
Age 3131	5,531	5,768	5,780	5,711	5,643	5,796	5,989	5,728	197
Age 3232	5,361	5,571	5,889	5,856	5,805	5,744	5,846	6,141	780
Age 3333	5,317	5,426	5,611	5,962	5,999	5,885	5,809	5,993	676
Age 3434	5,102	5,337	5,385	5,679	6,071	6,020	5,947	5,954	852
Age 3535	5,283	5,184	5,350	5,430	5,706	6,060	6,067	6,049	766
Age 3636	5,096	5,306	5,239	5,319	5,433	5,756	6,162	6,156	1,060
Age 3737	5,069	5,113	5,320	5,251	5,336	5,401	5,760	6,233	1,164
Age 3838	5,438	5,023	5,091	5,366	5,176	5,270	5,469	5,770	332
Age 3939	5,957	5,435	5,031	5,081	5,378	5,168	5,389	5,527	-430
Age 4040	6,222	5,941	5,423	5,014	5,103	5,308	5,212	5,382	-840
Age 4141	6,025	6,201	5,898	5,404	5,033	5,112	5,274	5,222	-803
Age 4242	5,669	5,998	6,181	5,924	5,389	4,971	5,036	5,240	-429
Age 4343	5,774	5,675	5,969	6,192	5,904	5,361	5,000	5,067	-707
Age 4444	6,059	5,810	5,650	5,939	6,181	5,905	5,375	5,029	-1,030
Age 4545	6,521	6,013	5,758	5,602	5,899	6,108	5,875	5,325	-1,196
Age 4646	6,719	6,503	5,971	5,745	5,628	5,870	6,079	5,881	-838
Age 4747	6,883	6,666	6,431	5,970	5,690	5,592	5,826	6,046	-837
Age 4848	6,856	6,831	6,613	6,373	5,920	5,656	5,552	5,825	-1,031
Age 4949	7,005	6,793	6,725	6,585	6,344	5,894	5,608	5,535	-1,470
Age 5050	7,080	6,998	6,721	6,667	6,555	6,256	5,837	5,590	-1,490
Age 5151	6,643	6,995	6,911	6,732	6,623	6,506	6,202	5,749	-894
Age 5252	6,503	6,586	6,951	6,867	6,682	6,585	6,475	6,167	-336
Age 5353	6,201	6,439	6,578	6,918	6,801	6,645	6,538	6,442	241
Age 5454	5,900	6,147	6,413	6,477	6,845	6,724	6,535	6,466	566
Age 5555	5,755	5,821	6,057	6,295	6,417	6,758	6,613	6,468	713
Age 5656	5,438	5,699	5,749	5,980	6,207	6,324	6,673	6,472	1,034
Age 5757	5,161	5,352	5,627	5,713	5,916	6,124	6,230	6,589	1,428
Age 5858	4,946	5,082	5,263	5,566	5,613	5,863	6,021	6,131	1,185
Age 5959	4,645	4,892	5,009	5,250	5,479	5,539	5,774	5,927	1,282
Age 6060	4,458	4,589	4,828	4,977	5,168	5,411	5,449	5,650	1,192
Age 6161	4,226	4,433	4,576	4,781	4,881	5,067	5,368	5,371	1,145
Age 6262	4,080	4,174	4,355	4,492	4,684	4,781	4,972	5,236	1,156
Age 6363	4,285	4,049	4,115	4,287	4,452	4,596	4,750	4,923	638
Age 6464	3,033	4,216	3,985	4,045	4,207	4,328	4,509	4,661	1,628
Age 6565	2,929	2,973	4,176	3,917	3,987	4,160	4,274	4,454	1,525
Age 6666	2,792	2,886	2,928	4,137	3,851	3,914	4,092	4,205	1,413
Age 6767	2,893	2,763	2,853	2,895	4,066	3,784	3,846	4,055	1,162
Age 6868	2,570	2,847	2,739	2,818	2,867	3,995	3,718	3,798	1,228
Age 6969	2,315	2,540	2,849	2,715	2,787	2,830	3,961	3,683	1,368
Age 7070	2,063	2,286	2,503	2,797	2,664	2,772	2,776	3,888	1,825
Age 7171	1,942	2,029	2,279	2,489	2,765	2,615	2,737	2,751	809
Age 7272	1,836	1,910	2,001	2,247	2,436	2,709	2,552	2,695	859
Age 7373	1,737	1,814	1,902	1,985	2,212	2,401	2,681	2,515	778
Age 7474	1,618	1,679	1,762	1,866	1,916	2,146	2,347	2,618	1,000
Age 7575	1,556	1,606	1,664	1,733	1,854	1,885	2,117	2,298	742
Age 7676	1,406	1,525	1,593	1,646	1,705	1,805	1,849	2,097	691
Age 7777	1,406	1,371	1,483	1,561	1,603	1,661	1,748	1,792	386
Age 7878	1,379	1,359	1,337	1,429	1,530	1,540	1,628	1,719	340
Age 7979	1,294	1,364	1,328	1,328	1,390	1,489	1,511	1,590	296
Age 8080	1,238	1,238	1,323	1,281	1,297	1,321	1,436	1,468	230
Age 8181	1,086	1,199	1,158	1,271	1,225	1,228	1,260	1,379	293
Age 8282	1,068	1,061	1,177	1,109	1,222	1,167	1,182	1,201	133
Age 8383	1,003	1,042	1,034	1,131	1,057	1,186	1,121	1,131	128
Age 8484	942	940	1,004	991	1,098	983	1,126	1,069	127
Age 8585	5,161	5,386	5,740	6,001	6,303	6,584	6,750	6,987	1,826
Age 0517	77,090	76,603	76,200	75,985	75,977	75,690	75,501	75,963	-1,127