Waukesha County, WI [55133] Demographic Characteristics & Trends
  -- a component of the Milwaukee-Waukesha-West Allis, WI metropolitan area [33340] -- 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	390,013	390,810	392,669	393,887	395,078	395,842	398,225	400,621	10,608
Births	...	3,806	3,801	3,756	3,861	3,802	3,813	3,849	3,813
Deaths	...	3,059	3,100	3,182	3,273	3,367	3,257	3,394	3,233
Natural Increase	...	747	701	574	588	435	556	455	579
Net Migration	...	68	1,226	672	648	361	1,844	1,973	970
International	...	339	400	429	508	547	555	548	475
Domestic	...	-271	826	243	140	-186	1,289	1,425	495

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	390,013	390,810	392,669	393,887	395,078	395,842	398,225	400,621	10,608
Male	191,450	191,857	192,859	193,428	194,173	194,694	195,744	196,932	5,482
Female	198,563	198,953	199,810	200,459	200,905	201,148	202,481	203,689	5,126
Group Quarters	...	5,679	5,744	5,600	5,525	5,416	5,302	5,303	-395

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Total Population	390,013	390,810	392,669	393,887	395,078	395,842	398,225	400,621	10,608
White alone	368,353	368,359	369,666	369,931	370,060	370,091	371,173	372,165	3,812
Black alone	4,983	5,135	5,086	5,198	5,397	5,646	6,102	6,521	1,538
AIAN alone	1,171	1,163	1,148	1,178	1,205	1,191	1,220	1,264	93
Asian alone	11,000	11,472	11,892	12,449	13,030	13,368	14,048	14,794	3,794
NHOPI alone	185	188	195	205	222	212	217	208	23
Two+ Races	4,321	4,493	4,682	4,926	5,164	5,334	5,465	5,669	1,348
Hispanic (any race)	16,197	16,739	17,159	17,405	17,724	18,128	18,651	19,059	2,862

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	400,621	372,165	6,521	1,264	14,794	208	5,669	19,059
Age 0-4	20,573	18,179	455	71	1,095	19	754	1,575
Age 5-9	23,253	20,652	491	87	1,153	11	859	1,921
Age 10-14	26,215	23,321	591	152	1,184	13	954	2,145
Age 15-19	26,464	23,986	645	101	977	14	741	2,062
Age 20-24	22,091	20,299	520	109	664	15	484	1,495
Age 25-29	19,182	17,385	515	110	807	11	354	1,197
Age 30-34	22,470	20,234	459	80	1,428	16	253	1,301
Age 35-39	24,976	22,538	487	106	1,588	6	251	1,494
Age 40-44	23,644	21,448	471	71	1,411	19	224	1,322
Age 45-49	26,587	24,771	399	95	1,126	18	178	1,144
Age 50-54	30,476	28,963	391	89	848	24	161	963
Age 55-59	33,332	32,091	321	62	681	10	167	807
Age 60-64	28,979	27,949	284	54	544	10	138	614
Age 65-69	23,980	23,090	208	33	576	8	65	368
Age 70-74	17,594	17,088	128	23	311	3	41	277
Age 75-79	11,767	11,472	63	13	192	1	26	159
Age 80-84	8,808	8,621	57	2	107	7	14	100
Age 85 up	10,230	10,078	36	6	102	3	5	115

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

Item	2010	2011	2012	2013	2014	2015	2016	2017	2010-2017
Age 0000	3,816	3,780	3,783	3,736	3,843	3,791	3,799	3,835	19
Age 0101	4,025	3,968	3,926	3,969	3,870	3,953	4,003	3,979	-46
Age 0202	4,324	4,161	4,101	4,090	4,107	4,011	4,146	4,193	-131
Age 0303	4,527	4,371	4,229	4,232	4,173	4,149	4,170	4,301	-226
Age 0404	4,657	4,564	4,485	4,347	4,360	4,267	4,295	4,265	-392
Age 0505	4,933	4,726	4,654	4,594	4,450	4,453	4,421	4,431	-502
Age 0606	5,116	4,962	4,792	4,702	4,682	4,547	4,519	4,594	-522
Age 0707	5,164	5,144	5,025	4,837	4,769	4,683	4,636	4,634	-530
Age 0808	5,323	5,210	5,163	5,038	4,891	4,832	4,784	4,726	-597
Age 0909	5,479	5,322	5,229	5,253	5,104	4,932	4,873	4,868	-611
Age 1010	5,583	5,469	5,345	5,253	5,301	5,122	5,027	4,915	-668
Age 1111	5,540	5,590	5,469	5,342	5,301	5,328	5,194	5,112	-428
Age 1212	5,607	5,554	5,618	5,498	5,398	5,368	5,387	5,264	-343
Age 1313	5,694	5,659	5,580	5,627	5,529	5,447	5,404	5,455	-239
Age 1414	5,718	5,716	5,659	5,624	5,687	5,603	5,443	5,469	-249
Age 1515	5,898	5,769	5,733	5,727	5,670	5,742	5,660	5,522	-376
Age 1616	6,064	5,897	5,750	5,734	5,775	5,692	5,784	5,738	-326
Age 1717	5,955	6,057	5,824	5,725	5,696	5,755	5,690	5,771	-184
Age 1818	5,067	5,250	5,380	5,216	5,063	5,045	5,123	5,032	-35
Age 1919	3,812	4,465	4,652	4,695	4,504	4,395	4,372	4,401	589
Age 2020	3,550	3,784	4,488	4,589	4,615	4,482	4,368	4,359	809
Age 2121	3,463	3,553	3,853	4,453	4,578	4,652	4,492	4,390	927
Age 2222	3,445	3,456	3,580	3,835	4,409	4,526	4,600	4,462	1,017
Age 2323	3,730	3,502	3,502	3,596	3,799	4,343	4,397	4,490	760
Age 2424	3,955	3,720	3,533	3,544	3,591	3,785	4,221	4,390	435
Age 2525	3,932	3,914	3,731	3,511	3,515	3,624	3,815	4,188	256
Age 2626	3,780	3,917	3,953	3,784	3,530	3,542	3,698	3,869	89
Age 2727	3,968	3,778	3,974	3,967	3,826	3,500	3,641	3,732	-236
Age 2828	4,053	3,972	3,870	4,058	4,084	3,842	3,566	3,689	-364
Age 2929	4,117	4,106	4,135	3,963	4,178	4,173	3,983	3,704	-413
Age 3030	4,259	4,233	4,262	4,170	4,027	4,295	4,384	4,110	-149
Age 3131	4,025	4,326	4,345	4,361	4,319	4,120	4,386	4,461	436
Age 3232	4,035	4,187	4,455	4,536	4,520	4,489	4,302	4,572	537
Age 3333	4,054	4,168	4,275	4,609	4,668	4,591	4,639	4,544	490
Age 3434	4,106	4,163	4,261	4,397	4,732	4,729	4,800	4,783	677
Age 3535	4,267	4,222	4,296	4,332	4,582	4,859	4,887	4,967	700
Age 3636	4,285	4,335	4,364	4,390	4,457	4,693	5,068	5,080	795
Age 3737	4,445	4,339	4,489	4,400	4,547	4,573	4,858	5,189	744
Age 3838	4,753	4,473	4,417	4,555	4,475	4,621	4,670	4,978	225
Age 3939	5,238	4,768	4,516	4,452	4,629	4,482	4,734	4,762	-476
Age 4040	5,559	5,244	4,799	4,609	4,504	4,696	4,545	4,849	-710
Age 4141	5,476	5,603	5,285	4,847	4,681	4,528	4,742	4,645	-831
Age 4242	5,451	5,510	5,600	5,321	4,864	4,632	4,586	4,782	-669
Age 4343	5,885	5,438	5,534	5,588	5,335	4,885	4,674	4,633	-1,252
Age 4444	5,973	5,875	5,475	5,490	5,607	5,374	4,907	4,735	-1,238
Age 4545	6,355	5,906	5,835	5,448	5,460	5,560	5,360	4,896	-1,459
Age 4646	6,734	6,341	5,911	5,808	5,459	5,467	5,619	5,358	-1,376
Age 4747	6,677	6,708	6,323	5,896	5,729	5,421	5,410	5,595	-1,082
Age 4848	6,937	6,655	6,693	6,294	5,853	5,663	5,374	5,404	-1,533
Age 4949	7,161	6,907	6,605	6,653	6,238	5,828	5,624	5,334	-1,827
Age 5050	7,157	7,111	6,860	6,559	6,563	6,249	5,844	5,578	-1,579
Age 5151	7,082	7,111	7,089	6,823	6,473	6,538	6,209	5,813	-1,269
Age 5252	6,939	7,027	7,077	7,038	6,769	6,478	6,507	6,172	-767
Age 5353	6,745	6,867	6,987	6,998	7,000	6,675	6,452	6,480	-265
Age 5454	6,438	6,732	6,856	6,980	6,935	6,966	6,613	6,433	-5
Age 5555	6,297	6,405	6,674	6,801	6,895	6,884	6,911	6,584	287
Age 5656	6,008	6,283	6,346	6,624	6,741	6,821	6,821	6,822	814
Age 5757	5,836	5,937	6,177	6,269	6,538	6,653	6,752	6,766	930
Age 5858	5,728	5,807	5,902	6,105	6,171	6,502	6,593	6,647	919
Age 5959	5,512	5,687	5,739	5,829	6,048	6,104	6,429	6,513	1,001
Age 6060	5,216	5,442	5,609	5,682	5,760	5,938	6,029	6,332	1,116
Age 6161	5,065	5,141	5,374	5,550	5,612	5,672	5,901	5,960	895
Age 6262	5,050	4,993	5,072	5,286	5,453	5,506	5,584	5,812	762
Age 6363	5,238	5,002	4,906	4,981	5,181	5,360	5,445	5,504	266
Age 6464	3,667	5,110	4,942	4,807	4,900	5,095	5,306	5,371	1,704
Age 6565	3,562	3,625	5,016	4,912	4,742	4,849	5,045	5,246	1,684
Age 6666	3,512	3,504	3,560	4,939	4,837	4,652	4,738	4,974	1,462
Age 6767	3,693	3,475	3,445	3,492	4,864	4,739	4,579	4,691	998
Age 6868	3,130	3,616	3,449	3,406	3,428	4,758	4,651	4,490	1,360
Age 6969	2,753	3,073	3,587	3,389	3,340	3,372	4,699	4,579	1,826
Age 7070	2,593	2,705	3,022	3,550	3,357	3,294	3,337	4,616	2,023
Age 7171	2,596	2,548	2,658	2,960	3,486	3,314	3,251	3,290	694
Age 7272	2,497	2,552	2,501	2,610	2,881	3,427	3,257	3,193	696
Age 7373	2,298	2,441	2,505	2,424	2,570	2,838	3,356	3,167	869
Age 7474	2,304	2,264	2,423	2,474	2,388	2,533	2,808	3,328	1,024
Age 7575	2,213	2,240	2,214	2,371	2,410	2,330	2,480	2,756	543
Age 7676	2,058	2,171	2,200	2,159	2,336	2,360	2,297	2,424	366
Age 7777	2,067	2,005	2,133	2,141	2,095	2,259	2,298	2,229	162
Age 7878	2,081	2,024	1,946	2,078	2,078	2,051	2,187	2,229	148
Age 7979	2,024	2,016	1,978	1,891	2,025	2,013	1,991	2,129	105
Age 8080	1,941	1,927	1,953	1,923	1,820	1,952	1,953	1,943	2
Age 8181	1,829	1,870	1,852	1,865	1,839	1,769	1,886	1,876	47
Age 8282	1,743	1,721	1,769	1,769	1,769	1,753	1,679	1,806	63
Age 8383	1,635	1,664	1,643	1,703	1,683	1,705	1,677	1,607	-28
Age 8484	1,474	1,515	1,586	1,547	1,609	1,608	1,617	1,576	102
Age 8585	8,062	8,462	8,863	9,257	9,498	9,735	9,963	10,230	2,168
Age 0517	72,074	71,075	69,841	68,954	68,253	67,504	66,822	66,499	-5,575