Anoka County, MN [27003] 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	331,422	332,873	336,135	339,235	342,088	344,514	347,095	351,373	19,951
Births	...	4,068	4,066	4,064	4,321	4,122	4,341	4,228	4,173
Deaths	...	1,780	1,730	1,867	1,891	2,032	2,016	2,008	1,903
Natural Increase	...	2,288	2,336	2,197	2,430	2,090	2,325	2,220	2,269
Net Migration	...	-844	980	943	469	368	257	2,080	608
International	...	436	465	476	579	634	652	648	556
Domestic	...	-1,280	515	467	-110	-266	-395	1,432	52

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	331,422	332,873	336,135	339,235	342,088	344,514	347,095	351,373	19,951
Male	165,647	166,293	168,003	169,568	170,923	172,238	173,595	175,767	10,120
Female	165,775	166,580	168,132	169,667	171,165	172,276	173,500	175,606	9,831
Group Quarters	...	3,007	3,008	3,008	2,981	2,999	2,979	2,957	-52

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	331,422	332,873	336,135	339,235	342,088	344,514	347,095	351,373	19,951
White alone	292,848	293,175	294,845	296,482	297,408	297,812	297,909	299,006	6,158
Black alone	14,946	15,476	16,262	17,054	18,306	19,439	20,813	22,710	7,764
AIAN alone	2,512	2,558	2,636	2,663	2,767	2,944	2,969	3,041	529
Asian alone	13,159	13,388	13,823	14,193	14,479	14,945	15,747	16,635	3,476
NHOPI alone	146	160	165	171	175	178	183	196	50
Two+ Races	7,811	8,116	8,404	8,672	8,953	9,196	9,474	9,785	1,974
Hispanic (any race)	12,083	12,268	12,616	13,104	13,780	14,668	15,379	16,052	3,969

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	351,373	299,006	22,710	3,041	16,635	196	9,785	16,052
Age 0-4	22,099	17,071	2,169	257	1,169	22	1,411	1,603
Age 5-9	23,140	17,584	2,382	214	1,384	17	1,559	1,750
Age 10-14	24,305	18,793	2,457	218	1,397	14	1,426	1,891
Age 15-19	22,233	17,573	1,955	268	1,206	18	1,213	1,528
Age 20-24	20,164	16,282	1,633	219	1,128	11	891	1,339
Age 25-29	21,822	17,536	1,718	255	1,586	15	712	1,173
Age 30-34	24,300	20,074	1,791	212	1,704	11	508	1,304
Age 35-39	24,574	20,471	1,923	230	1,482	17	451	1,308
Age 40-44	21,714	18,125	1,752	209	1,270	7	351	1,156
Age 45-49	24,355	21,256	1,492	203	1,040	14	350	964
Age 50-54	26,311	23,941	1,066	205	832	16	251	642
Age 55-59	27,334	25,247	967	180	690	11	239	513
Age 60-64	21,440	19,966	644	122	552	6	150	330
Age 65-69	16,985	15,897	387	110	463	6	122	223
Age 70-74	12,456	11,806	194	62	318	9	67	150
Age 75-79	8,096	7,702	99	42	204	1	48	77
Age 80-84	5,185	4,986	44	27	106	1	21	60
Age 85 up	4,860	4,696	37	8	104	0	15	41

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Age 0000	4,329	4,048	4,046	4,036	4,299	4,098	4,319	4,204	-125
Age 0101	4,364	4,456	4,080	4,187	4,083	4,422	4,199	4,443	79
Age 0202	4,463	4,333	4,511	4,198	4,267	4,224	4,527	4,377	-86
Age 0303	4,558	4,498	4,390	4,629	4,276	4,322	4,272	4,634	76
Age 0404	4,579	4,554	4,549	4,510	4,677	4,317	4,390	4,441	-138
Age 0505	4,698	4,659	4,592	4,598	4,529	4,710	4,365	4,465	-233
Age 0606	4,842	4,698	4,660	4,660	4,657	4,557	4,693	4,466	-376
Age 0707	4,738	4,781	4,729	4,658	4,700	4,700	4,587	4,723	-15
Age 0808	4,681	4,742	4,869	4,744	4,727	4,724	4,767	4,677	-4
Age 0909	4,766	4,669	4,740	4,810	4,728	4,801	4,778	4,809	43
Age 1010	4,803	4,761	4,662	4,771	4,874	4,730	4,808	4,819	16
Age 1111	4,836	4,825	4,801	4,675	4,745	4,857	4,789	4,854	18
Age 1212	4,746	4,836	4,807	4,851	4,748	4,790	4,883	4,823	77
Age 1313	4,926	4,714	4,873	4,815	4,891	4,764	4,807	4,940	14
Age 1414	4,979	4,921	4,732	4,867	4,816	4,895	4,798	4,869	-110
Age 1515	5,050	4,975	4,939	4,774	4,909	4,812	4,938	4,900	-150
Age 1616	5,216	5,034	4,972	4,883	4,772	4,900	4,820	4,970	-246
Age 1717	5,207	5,171	5,023	4,967	4,897	4,824	4,918	4,862	-345
Age 1818	4,597	4,478	4,428	4,310	4,263	4,144	4,103	4,170	-427
Age 1919	3,602	3,763	3,687	3,566	3,484	3,410	3,365	3,331	-271
Age 2020	3,615	3,712	3,954	3,851	3,778	3,730	3,664	3,643	28
Age 2121	3,516	3,673	3,848	4,060	3,945	3,989	3,860	3,765	249
Age 2222	3,552	3,625	3,938	4,018	4,245	4,125	4,164	4,069	517
Age 2323	3,844	3,662	3,794	4,052	4,084	4,340	4,307	4,256	412
Age 2424	4,009	3,911	3,762	3,872	4,002	4,128	4,303	4,431	422
Age 2525	4,122	4,007	3,983	3,820	3,970	4,075	4,161	4,431	309
Age 2626	4,166	4,187	4,104	4,148	3,984	4,063	4,115	4,333	167
Age 2727	4,361	4,215	4,383	4,254	4,258	4,123	4,153	4,364	3
Age 2828	4,548	4,479	4,393	4,605	4,405	4,404	4,260	4,308	-240
Age 2929	4,463	4,583	4,582	4,535	4,716	4,595	4,431	4,386	-77
Age 3030	4,612	4,500	4,712	4,657	4,570	4,714	4,640	4,582	-30
Age 3131	4,592	4,675	4,589	4,818	4,706	4,602	4,870	4,834	242
Age 3232	4,392	4,619	4,740	4,732	4,932	4,775	4,767	5,043	651
Age 3333	4,252	4,388	4,657	4,818	4,820	4,996	4,849	4,905	653
Age 3434	4,267	4,310	4,444	4,784	4,880	4,881	5,049	4,936	669
Age 3535	4,455	4,245	4,306	4,516	4,825	4,905	4,920	5,185	730
Age 3636	4,228	4,412	4,274	4,326	4,541	4,790	4,874	4,989	761
Age 3737	4,247	4,267	4,466	4,313	4,350	4,555	4,844	4,944	697
Age 3838	4,618	4,249	4,306	4,444	4,327	4,329	4,574	4,843	225
Age 3939	5,126	4,609	4,280	4,345	4,480	4,322	4,352	4,613	-513
Age 4040	5,164	5,090	4,626	4,246	4,281	4,418	4,298	4,377	-787
Age 4141	5,045	5,163	5,119	4,659	4,264	4,273	4,463	4,351	-694
Age 4242	4,957	5,028	5,162	5,108	4,648	4,297	4,278	4,503	-454
Age 4343	5,001	4,904	5,034	5,161	5,105	4,612	4,245	4,241	-760
Age 4444	5,209	4,958	4,908	5,027	5,129	5,090	4,581	4,242	-967
Age 4545	5,570	5,170	4,934	4,886	5,008	5,117	5,058	4,547	-1,023
Age 4646	5,850	5,565	5,138	4,892	4,857	4,983	5,084	5,053	-797
Age 4747	5,824	5,834	5,514	5,136	4,868	4,840	4,952	5,095	-729
Age 4848	5,854	5,801	5,818	5,513	5,136	4,853	4,781	4,897	-957
Age 4949	6,033	5,823	5,790	5,733	5,483	5,100	4,803	4,763	-1,270
Age 5050	5,917	5,962	5,776	5,737	5,658	5,432	5,083	4,743	-1,174
Age 5151	5,624	5,879	5,936	5,739	5,705	5,592	5,421	5,069	-555
Age 5252	5,405	5,603	5,831	5,860	5,701	5,678	5,552	5,356	-49
Age 5353	5,129	5,349	5,600	5,809	5,824	5,667	5,662	5,518	389
Age 5454	4,823	5,078	5,333	5,531	5,800	5,779	5,605	5,625	802
Age 5555	4,653	4,800	5,081	5,300	5,475	5,779	5,720	5,546	893
Age 5656	4,413	4,598	4,732	5,041	5,250	5,445	5,735	5,655	1,242
Age 5757	4,286	4,418	4,571	4,688	5,008	5,236	5,402	5,676	1,390
Age 5858	4,111	4,235	4,367	4,483	4,619	4,936	5,173	5,306	1,195
Age 5959	3,905	4,040	4,212	4,335	4,421	4,594	4,919	5,151	1,246
Age 6060	3,720	3,879	4,016	4,132	4,279	4,379	4,543	4,853	1,133
Age 6161	3,632	3,679	3,812	3,966	4,089	4,231	4,294	4,471	839
Age 6262	3,517	3,608	3,612	3,755	3,911	4,027	4,154	4,197	680
Age 6363	3,738	3,460	3,547	3,574	3,716	3,853	3,910	4,066	328
Age 6464	2,543	3,696	3,388	3,475	3,529	3,630	3,774	3,853	1,310
Age 6565	2,523	2,501	3,676	3,335	3,429	3,516	3,555	3,734	1,211
Age 6666	2,511	2,503	2,476	3,647	3,257	3,365	3,472	3,510	999
Age 6767	2,540	2,481	2,470	2,417	3,607	3,187	3,290	3,390	850
Age 6868	2,179	2,504	2,466	2,459	2,393	3,530	3,147	3,239	1,060
Age 6969	2,039	2,134	2,455	2,437	2,426	2,335	3,441	3,112	1,073
Age 7070	1,837	2,011	2,115	2,426	2,406	2,380	2,293	3,378	1,541
Age 7171	1,652	1,824	1,985	2,093	2,402	2,373	2,347	2,247	595
Age 7272	1,583	1,618	1,785	1,968	2,061	2,363	2,328	2,297	714
Age 7373	1,455	1,557	1,590	1,762	1,930	2,025	2,308	2,277	822
Age 7474	1,396	1,430	1,525	1,570	1,722	1,901	1,982	2,257	861
Age 7575	1,373	1,375	1,403	1,508	1,546	1,688	1,869	1,932	559
Age 7676	1,185	1,345	1,334	1,383	1,473	1,479	1,663	1,814	629
Age 7777	1,141	1,146	1,317	1,294	1,340	1,431	1,434	1,624	483
Age 7878	1,093	1,104	1,121	1,276	1,274	1,297	1,383	1,405	312
Age 7979	974	1,059	1,063	1,082	1,209	1,206	1,258	1,321	347
Age 8080	876	938	1,009	1,019	1,068	1,157	1,163	1,220	344
Age 8181	856	852	912	981	980	1,028	1,112	1,119	263
Age 8282	772	807	830	853	936	941	978	1,053	281
Age 8383	724	751	766	794	809	885	896	945	221
Age 8484	623	679	700	715	742	752	833	848	225
Age 8585	3,202	3,390	3,675	3,953	4,154	4,392	4,570	4,860	1,658
Age 0517	63,488	62,786	62,399	62,073	61,993	62,064	61,951	62,177	-1,311