Counties in Wisconsin by net international migration rate, July to June

Dane County had the highest net international migration rate, July to June of 72 counties in 2015, at 4.73 per 1,000 inhabitants. Green Lake County had the lowest, at -0.11 per 1,000 inhabitants. The median was 0.53 per 1,000 inhabitants and the figure for Wisconsin was 1.62 per 1,000 inhabitants. Source: the U.S. Census Bureau.

Highest4.73Dane County

Lowest-0.11Green Lake County

Median0.5372 counties

Wisconsin1.62History

Map of counties, 2015

Under 0
0 to 0.35
0.35 to 0.83
0.83 and over

per 1,000 inhabitants, 2015. Red areas are below zero and blue areas above it. Source: U.S. Census Bureau, Population Estimates Program: net international migration rate per 1,000 residents, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021. Boundaries: U.S. Census Bureau cartographic boundary files.

Top 40 counties, 2015

per 1,000 inhabitants. Source: U.S. Census Bureau, Population Estimates Program: net international migration rate per 1,000 residents, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021. Retrieved 2026-10-12.

Full ranking

Rank	Counties	2015 per 1,000 inhabitants	Change on 2014
1	Dane County Estimated	4.73	+0.97 pts
2	Milwaukee County Estimated	3.05	+0.38 pts
3	Portage County Estimated	2.38	+0.58 pts
4	Fond du Lac County Estimated	1.83	-0.04 pts
5	Pierce County Estimated	1.73	+0.6 pts
6	Dunn County Estimated	1.7	+0.52 pts
7	Waukesha County Estimated	1.62	+0.14 pts
8	Brown County Estimated	1.61	+0.07 pts
9	Ozaukee County Estimated	1.49	-0.01 pts
10	Rusk County Estimated	1.48	-0.47 pts
11	Sauk County Estimated	1.27	+0.6 pts
12	Eau Claire County Estimated	1.27	-0.1 pts
13	Douglas County Estimated	1.22	+0.41 pts
14	Outagamie County Estimated	1.21	-0.24 pts
15	Monroe County Estimated	1.17	+0.71 pts
16	Winnebago County Estimated	1.07	+0.21 pts
17	Langlade County Estimated	1.04	+0.11 pts
18	Richland County Estimated	0.96	+0.12 pts
19	Trempealeau County Estimated	0.92	+0.27 pts
20	Green County Estimated	0.89	-0.19 pts
21	Manitowoc County Estimated	0.89	+0.17 pts
22	Sheboygan County Estimated	0.89	-0.14 pts
23	Kenosha County Estimated	0.88	+0.21 pts
24	Grant County Estimated	0.85	+0.24 pts
25	Vilas County Estimated	0.79	-0.19 pts
26	Racine County Estimated	0.77	+0.39 pts
27	Washington County Estimated	0.7	-0.09 pts
28	Marathon County Estimated	0.69	+0.3 pts
29	Kewaunee County Estimated	0.69	+0.15 pts
30	Taylor County Estimated	0.69	+0.2 pts
31	Rock County Estimated	0.66	+0.12 pts
32	Wood County Estimated	0.64	+0.22 pts
33	Barron County Estimated	0.62	+0.02 pts
34	Washburn County Estimated	0.58	-0.06 pts
35	Adams County Estimated	0.55	+0.35 pts
36	La Crosse County Estimated	0.54	+0.02 pts
37	Buffalo County Estimated	0.53	+0.15 pts
38	Calumet County Estimated	0.52	+0.14 pts
39	Jefferson County Estimated	0.52	-0.08 pts
40	Columbia County Estimated	0.51	+0.07 pts
41	Crawford County Estimated	0.49	+0.06 pts
42	St. Croix County Estimated	0.47	-0 pts
43	Price County Estimated	0.44	-1.09 pts
44	Walworth County Estimated	0.41	+0.11 pts
45	Waupaca County Estimated	0.41	+0.16 pts
46	Oconto County Estimated	0.4	-0 pts
47	Polk County Estimated	0.37	+0.16 pts
48	Shawano County Estimated	0.34	0 pts
49	Forest County Estimated	0.33	0 pts
50	Clark County Estimated	0.32	+0.15 pts
51	Dodge County Estimated	0.27	+0.11 pts
52	Bayfield County Estimated	0.27	-0.13 pts
53	Juneau County Estimated	0.27	+0.08 pts
54	Iowa County Estimated	0.25	-0.25 pts
55	Ashland County Estimated	0.25	-0.31 pts
56	Vernon County Estimated	0.23	+0.1 pts
57	Marinette County Estimated	0.22	+0.05 pts
58	Door County Estimated	0.22	+0.18 pts
59	Lincoln County Estimated	0.21	+0.11 pts
60	Waushara County Estimated	0.21	-0.04 pts
61	Marquette County Estimated	0.2	+0.07 pts
62	Jackson County Estimated	0.19	0 pts
63	Chippewa County Estimated	0.19	-0.03 pts
64	Iron County Estimated	0.17	+0.17 pts
65	Pepin County Estimated	0.14	-0.14 pts
66	Burnett County Estimated	0.13	0 pts
67	Sawyer County Estimated	0.12	-0.06 pts
68	Oneida County Estimated	0.08	-0.25 pts
69	Lafayette County Estimated	0.06	-0.06 pts
70	Florence County Estimated	0	0 pts
70	Menominee County Estimated	0	-3.37 pts
72	Green Lake County Estimated	-0.11	-0.37 pts

Other periods

About this ranking

Net international migration from July 1 of the previous year through June 30 of the reported year per 1,000 residents, using the average of the population estimates at the two July 1 endpoints.

Every value in the ranking comes from the same publisher and the same period, so the counties are compared on one definition. Equal values share a rank.

How to cite

U.S. Census Bureau. Population Estimates Program: net international migration rate per 1,000 residents, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021. https://www.census.gov/programs-surveys/popest/data/data-sets.html. Retrieved 2026-10-12.

Citation styles

The publisher is the author. Invokely is named only as the place the figures were read, where a style asks for it.

APA 7

U.S. Census Bureau. (2026). Population Estimates Program: net international migration rate per 1,000 residents, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021 (Counties in Wisconsin by net international migration rate, July to June, 2015) [Data set]. Retrieved October 12, 2026, from https://www.census.gov/programs-surveys/popest/data/data-sets.html

MLA 9

Population Estimates Program: net international migration rate per 1,000 residents, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021, Counties in Wisconsin by net international migration rate, July to June, 2015. U.S. Census Bureau, 26 Mar. 2026, https://www.census.gov/programs-surveys/popest/data/data-sets.html. Invokely, https://invokely.ai/rankings/net-international-migration-rate-july-june/wisconsin-counties?period=2015. Accessed 12 Oct. 2026.

Chicago (author-date)

U.S. Census Bureau. 2026. Population Estimates Program: net international migration rate per 1,000 residents, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021. Counties in Wisconsin by net international migration rate, July to June, 2015. Dataset. Accessed October 12, 2026. https://www.census.gov/programs-surveys/popest/data/data-sets.html. Also distributed by Invokely, https://invokely.ai/rankings/net-international-migration-rate-july-june/wisconsin-counties?period=2015.

Harvard

U.S. Census Bureau (2026) Population Estimates Program: net international migration rate per 1,000 residents, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021, Counties in Wisconsin by net international migration rate, July to June, 2015 [Dataset]. Available at: https://www.census.gov/programs-surveys/popest/data/data-sets.html, via Invokely: https://invokely.ai/rankings/net-international-migration-rate-july-june/wisconsin-counties?period=2015 (Accessed: 12 October 2026).

BibTeX

@misc{census_counties_in_wisconsin_by_2015,
  author = {{U.S. Census Bureau}},
  title = {{Population Estimates Program: net international migration rate per 1,000 residents, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021: Counties in Wisconsin by net international migration rate, July to June, 2015}},
  year = {2026},
  howpublished = {Data set},
  url = {https://www.census.gov/programs-surveys/popest/data/data-sets.html},
  urldate = {2026-10-12},
  note = {Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-rate-july-june/wisconsin-counties?period=2015. Publisher attribution: U.S. Census Bureau. Population Estimates Program: net international migration rate per 1,000 residents, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021. https://www.census.gov/programs-surveys/popest/data/data-sets.html. Retrieved 2026-10-12.},
}

RIS

TY  - DATA
AU  - U.S. Census Bureau
TI  - Population Estimates Program: net international migration rate per 1,000 residents, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021: Counties in Wisconsin by net international migration rate, July to June, 2015
PY  - 2026
DA  - 2026/03/26
PB  - U.S. Census Bureau
DB  - Invokely
UR  - https://www.census.gov/programs-surveys/popest/data/data-sets.html
L2  - https://invokely.ai/rankings/net-international-migration-rate-july-june/wisconsin-counties?period=2015
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-international-migration-rate-july-june/wisconsin-counties?period=2015.
N1  - Publisher attribution: U.S. Census Bureau. Population Estimates Program: net international migration rate per 1,000 residents, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021. https://www.census.gov/programs-surveys/popest/data/data-sets.html. Retrieved 2026-10-12.
ER  -

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Questions

Which county has the highest net international migration rate, July to June?

Dane County, with 4.73 per 1,000 inhabitants in 2015, according to the U.S. Census Bureau.

Which county has the lowest net international migration rate, July to June?

Green Lake County, with -0.11 per 1,000 inhabitants in 2015.

Where does this ranking come from?

Every value comes from one source and one period, so the places are comparable: U.S. Census Bureau, Population Estimates Program: net international migration rate per 1,000 residents, July 1 of the previous year to June 30 of the reported year; vintage 2020 files for 2011 to 2020 and the latest 2020s vintage from 2021. Retrieved 2026-10-12.