Medicaid work requirements · Wisconsin

Medicaid work requirements in Wisconsin: who is subject and who loses coverage (2027)

Data snapshot 2026-06-03 · part of These 5 Million People Are About to Lose Their Medicaid — But They Don't Have To

Wisconsin has not adopted the ACA expansion but covers a similar population under a waiver, so the federal work requirement that takes effect January 1, 2027 reaches about 121,155 adults there. BadgerCare Plus childless adults (Section 1115 waiver, ≤100% FPL).

This model's bottom-up estimate is that 38,753 people in Wisconsin lose coverage by 2034: 35,118 of them still eligible but lost to paperwork and reporting failures, and 3,635 not meeting the requirement. Nationally the same model gives 5,461,400, against CBO's 5,200,000.

Whether those eligible people keep coverage depends on the state's ability to renew them automatically (ex parte) from data it already holds. Wisconsin scores null of 100 on this model's ex parte capability index, a null band; its eligibility system is CARES.

Key figures

Model v2-2026-06-03. "Strict" counts adults whose ACS record shows them subject with no observable exemption; "permissive" allows the broader exemption reading.
MeasureWisconsin
Expansion stateNo
Subject to the requirement via waiverYes
Expansion pool (adults 19 to 64)198,000
Adults subject, strict definition121,155
Adults subject, permissive definition118,732
Share of expansion pool subject3.5%
Projected coverage loss by 203438,753
Hardship exception statusNon expansion
Early implementerNo
Ex parte capability score (0 to 100)null (null)

Why eligible people lose coverage

Of the 38,753 projected to lose coverage in Wisconsin, 35,118 meet the requirement or qualify for an exemption but fail to document it. 16,065 of those are working people who cannot prove their hours through data the state can see, and 19,053 qualify for an exemption the state does not detect automatically.

Bottom-up model v8.0-2026-05-30; documentation-failure buckets compound over the 14 six-month renewal cycles through 2034.
GroupProjected to lose coverage
Multiple part-time jobs (aggregation failure)4,652
Variable shifts / on-call work2,778
Self-employed (other)2,724
Full-time students not auto-verified2,105
Seasonal: agriculture, hospitality, food service1,573
Volunteering / job training1,274
Cash-paid construction & trades513
Gig / courier (DoorDash, Uber, Lyft, Instacart)446
Medically frail without auto-match10,662
American Indian / Alaska Native (tribal exemption)2,361
Caregivers of a disabled adult2,113
SUD treatment not flagged in claims data1,774
Recent incarceration (data-match gap)830
Other categorical exemptions (foster, AYA cancer, SNAP/TANF)654
Kinship caregivers (non-parent) of children ≤13534
Pregnancy / postpartum data lag123
Parent caregivers of children ≤13 without auto-match0

Can the state renew people automatically?

The ex parte capability index blends the state's observed automatic-renewal rate (44% in CMS eligibility-processing data), the wage, disability, and other data sources it can query, and its history of churn. Wisconsin's composite score is null (null band). A low score means more eligible people will be dropped for paperwork unless the state changes its process before January 1, 2027.

ComponentScore
Composite
Observed ex parte
Core capability
Data sources
Historical churn

Counties in Wisconsin

Subject adults concentrate: Milwaukee County (16,789), Dane County (11,811), and Waukesha County (8,573) account for 31% of the state's subject population.

All 72 counties in Wisconsin with subject adults, sorted by count. County figures are model allocations of the state estimate by ACS tract characteristics.
CountyAdults subjectSubject rateProjected lossPoverty rateWorking-age population
Milwaukee County16,7893.0%5,37018.0%557,686
Dane County11,8113.3%3,77811.0%363,736
Waukesha County8,5733.6%2,7425.0%236,762
Brown County5,2433.3%1,67710.0%160,653
Racine County3,9143.4%1,25211.0%114,674
Outagamie County3,7743.3%1,2077.0%114,304
Winnebago County3,4863.3%1,11511.0%104,720
Kenosha County3,3323.2%1,06611.0%102,734
Rock County3,2403.4%1,03610.0%96,346
Washington County2,8483.6%9115.0%80,122
Marathon County2,8043.5%8978.0%79,344
La Crosse County2,6363.6%84312.0%72,830
Sheboygan County2,4883.6%7968.0%68,212
Walworth County2,4513.9%78410.0%62,164
Eau Claire County2,3133.5%74012.0%65,410
Fond du Lac County2,1803.6%6979.0%60,255
Ozaukee County1,9793.8%6334.0%52,190
St. Croix County1,8683.3%5986.0%56,806
Jefferson County1,8353.6%5878.0%51,339
Dodge County1,7803.3%5698.0%53,670
Manitowoc County1,7393.8%55610.0%45,973
Portage County1,6663.9%53310.0%43,008
Wood County1,5123.7%48410.0%41,315
Chippewa County1,3433.5%42910.0%38,644
Sauk County1,3183.5%4229.0%37,500
Grant County1,2624.2%40414.0%29,952
Columbia County1,1923.5%3818.0%34,312
Calumet County1,0963.5%3516.0%31,520
Waupaca County1,0763.6%3449.0%29,759
Dunn County1,0563.8%33811.0%27,521
Barron County1,0204.0%32612.0%25,430
Polk County1,0043.9%3218.0%25,756
Monroe County9293.6%29712.0%25,724
Pierce County9233.6%29510.0%25,772
Douglas County9163.5%29311.0%26,075
Marinette County9093.9%29110.0%23,106
Oneida County8814.3%28210.0%20,682
Oconto County8683.9%2788.0%22,472
Shawano County8673.8%27710.0%22,779
Green County7603.6%2437.0%21,071
Door County7344.8%2359.0%15,444
Clark County7334.1%23412.0%18,027
Vernon County6804.2%21715.0%16,016
Trempealeau County6283.8%2017.0%16,532
Lincoln County6053.7%19410.0%16,410
Vilas County5984.9%19110.0%12,146
Waushara County5594.1%17911.0%13,722
Juneau County5453.5%17415.0%15,474
Adams County5204.6%16615.0%11,322
Iowa County5043.7%1618.0%13,602
Kewaunee County4413.8%1417.0%11,544
Langlade County4404.2%14112.0%10,571
Taylor County4394.0%1409.0%10,902
Sawyer County4384.4%14013.0%9,864
Burnett County4375.1%14012.0%8,662
Jackson County4313.6%13813.0%12,058
Green Lake County4254.1%13613.0%10,333
Bayfield County4034.7%12910.0%8,554
Washburn County3934.4%12612.0%8,926
Richland County3874.3%12415.0%9,078
Lafayette County3664.1%11711.0%9,022
Marquette County3644.3%11610.0%8,456
Ashland County3543.9%11317.0%9,045
Crawford County3534.0%11312.0%8,772
Price County3454.6%11114.0%7,487
Rusk County3184.2%10211.0%7,528
Buffalo County2954.0%948.0%7,382
Forest County2184.3%7014.0%5,100
Pepin County1674.3%538.0%3,886
Iron County1494.7%4810.0%3,152
Florence County1084.3%3510.0%2,534
Menominee County974.4%3120.0%2,224

State brief and methodology

Estimates, not counts. The model rakes to CBO's national subject total and allocates by ACS microdata; state agencies hold the administrative data that would replace these figures.

Sources

Back to These 5 Million People Are About to Lose Their Medicaid — But They Don't Have To