West Virginia expanded Medicaid, so the federal work requirement that takes effect January 1, 2027 applies to its expansion adults. About 159,195 of them (15.5% of an expansion pool of 170,182) will have to prove 80 hours a month of work, school, or service, or an exemption, to keep coverage.
This model's bottom-up estimate is that 51,586 people in West Virginia lose coverage by 2034: 46,810 of them still eligible but lost to paperwork and reporting failures, and 4,776 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. West Virginia scores 60 of 100 on this model's ex parte capability index, a mid band; its eligibility system is RAPIDS.
Key figures
| Measure | West Virginia |
|---|---|
| Expansion state | Yes |
| Subject to the requirement via waiver | No |
| Expansion pool (adults 19 to 64) | 170,182 |
| Adults subject, strict definition | 159,195 |
| Adults subject, permissive definition | 156,011 |
| Share of expansion pool subject | 15.5% |
| Projected coverage loss by 2034 | 51,586 |
| Hardship exception status | Adopting |
| Early implementer | No |
| Ex parte capability score (0 to 100) | 60 (mid) |
Who is subject in West Virginia
Of the 159,195 subject adults, 33% already work 80 or more hours a month and 63% are not working. 36% have a child under 14 at home. Among those not working, 51% report a disability and 16% are caregivers.
| Characteristic | Share of subject adults |
|---|---|
| Age 19-24 | 12% |
| Age 25-34 | 22% |
| Age 35-44 | 23% |
| Age 45-54 | 19% |
| Age 55-64 | 24% |
| Not working | 63% |
| 1 to 19 hours a month | 1% |
| 20 to 79 hours a month | 4% |
| 80 or more hours a month (meets the bar) | 33% |
| Not working: Disabled | 51% |
| Not working: Caregiver | 16% |
| Not working: Postpartum | 0% |
| Not working: Student | 2% |
| Not working: Other | 30% |
Why eligible people lose coverage
Of the 51,586 projected to lose coverage in West Virginia, 46,810 meet the requirement or qualify for an exemption but fail to document it. 13,054 of those are working people who cannot prove their hours through data the state can see, and 33,756 qualify for an exemption the state does not detect automatically.
| Group | Projected to lose coverage |
|---|---|
| Multiple part-time jobs (aggregation failure) | 4,157 |
| Variable shifts / on-call work | 3,724 |
| Self-employed (other) | 1,698 |
| Volunteering / job training | 969 |
| Full-time students not auto-verified | 869 |
| Seasonal: agriculture, hospitality, food service | 749 |
| Cash-paid construction & trades | 665 |
| Gig / courier (DoorDash, Uber, Lyft, Instacart) | 222 |
| Medically frail without auto-match | 10,676 |
| Caregivers of a disabled adult | 8,220 |
| Parent caregivers of children ≤13 without auto-match | 7,818 |
| Kinship caregivers (non-parent) of children ≤13 | 2,799 |
| SUD treatment not flagged in claims data | 1,253 |
| Recent incarceration (data-match gap) | 1,069 |
| American Indian / Alaska Native (tribal exemption) | 999 |
| Other categorical exemptions (foster, AYA cancer, SNAP/TANF) | 822 |
| Pregnancy / postpartum data lag | 100 |
Can the state renew people automatically?
The ex parte capability index blends the state's observed automatic-renewal rate (59% in CMS eligibility-processing data), the wage, disability, and other data sources it can query, and its history of churn. West Virginia's composite score is 60 (mid band). A low score means more eligible people will be dropped for paperwork unless the state changes its process before January 1, 2027.
| Component | Score |
|---|---|
| Composite | 60 |
| Observed ex parte | 59 |
| Core capability | 62 |
| Data sources | 65 |
| Historical churn | 50 |
How subjects overlap across exemption categories
| Combination | Adults | Share |
|---|---|---|
| None of the four | 60,887 | 38.3% |
| Medically frail | 26,818 | 16.9% |
| Working ≥ qualifying hours / income | 23,279 | 14.6% |
| Working ≥ qualifying hours / income + Parent caregiver of child ≤13 | 22,761 | 14.3% |
| Parent caregiver of child ≤13 | 12,443 | 7.8% |
| Full-time student | 3,471 | 2.2% |
| Working ≥ qualifying hours / income + Full-time student | 2,897 | 1.8% |
| Parent caregiver of child ≤13 + Medically frail | 2,009 | 1.3% |
Counties in West Virginia
Subject adults concentrate: Kanawha County (15,404), Monongalia County (11,325), and Berkeley County (10,454) account for 23% of the state's subject population.
| County | Adults subject | Subject rate | Projected loss | Poverty rate | Working-age population |
|---|---|---|---|---|---|
| Kanawha County | 15,404 | 15.3% | 4,992 | 16.0% | 100,730 |
| Monongalia County | 11,325 | 15.8% | 3,670 | 21.0% | 71,900 |
| Berkeley County | 10,454 | 13.3% | 3,387 | 11.0% | 78,498 |
| Cabell County | 8,531 | 15.7% | 2,764 | 20.0% | 54,294 |
| Wood County | 7,294 | 15.5% | 2,364 | 15.0% | 47,153 |
| Raleigh County | 6,273 | 15.4% | 2,033 | 22.0% | 40,741 |
| Harrison County | 5,581 | 14.9% | 1,809 | 14.0% | 37,358 |
| Marion County | 5,278 | 16.1% | 1,710 | 15.0% | 32,708 |
| Putnam County | 5,141 | 15.6% | 1,666 | 11.0% | 32,952 |
| Mercer County | 5,032 | 15.6% | 1,631 | 19.0% | 32,276 |
| Jefferson County | 5,031 | 14.1% | 1,630 | 9.0% | 35,698 |
| Ohio County | 3,789 | 16.2% | 1,228 | 15.0% | 23,392 |
| Fayette County | 3,422 | 15.5% | 1,109 | 22.0% | 22,130 |
| Wayne County | 3,243 | 15.1% | 1,051 | 17.0% | 21,523 |
| Greenbrier County | 2,876 | 16.0% | 932 | 20.0% | 17,954 |
| Preston County | 2,870 | 13.8% | 930 | 14.0% | 20,822 |
| Marshall County | 2,766 | 16.4% | 896 | 15.0% | 16,826 |
| Logan County | 2,655 | 15.1% | 860 | 24.0% | 17,556 |
| Hancock County | 2,629 | 16.5% | 852 | 13.0% | 15,956 |
| Randolph County | 2,424 | 15.2% | 785 | 15.0% | 15,912 |
| Jackson County | 2,422 | 15.5% | 785 | 20.0% | 15,598 |
| Mineral County | 2,396 | 15.9% | 777 | 14.0% | 15,065 |
| Nicholas County | 2,282 | 17.3% | 739 | 17.0% | 13,157 |
| Upshur County | 2,277 | 17.1% | 738 | 18.0% | 13,324 |
| Hampshire County | 2,189 | 16.4% | 709 | 17.0% | 13,342 |
| Mason County | 2,173 | 15.5% | 704 | 16.0% | 14,047 |
| Brooke County | 2,165 | 17.6% | 702 | 11.0% | 12,278 |
| Boone County | 1,898 | 16.0% | 615 | 17.0% | 11,863 |
| Mingo County | 1,894 | 15.4% | 614 | 29.0% | 12,312 |
| Wyoming County | 1,885 | 16.3% | 611 | 24.0% | 11,592 |
| Lincoln County | 1,748 | 15.9% | 566 | 19.0% | 11,023 |
| Morgan County | 1,645 | 16.7% | 533 | 11.0% | 9,879 |
| Lewis County | 1,568 | 16.6% | 508 | 17.0% | 9,422 |
| Taylor County | 1,476 | 15.7% | 478 | 17.0% | 9,406 |
| Barbour County | 1,414 | 16.1% | 458 | 22.0% | 8,788 |
| McDowell County | 1,412 | 13.4% | 458 | 33.0% | 10,579 |
| Hardy County | 1,315 | 16.4% | 426 | 17.0% | 7,996 |
| Wetzel County | 1,273 | 16.4% | 413 | 17.0% | 7,754 |
| Roane County | 1,247 | 16.4% | 404 | 21.0% | 7,626 |
| Braxton County | 1,180 | 17.3% | 382 | 18.0% | 6,812 |
| Monroe County | 1,134 | 17.5% | 367 | 13.0% | 6,493 |
| Grant County | 1,064 | 17.9% | 345 | 12.0% | 5,940 |
| Summers County | 1,050 | 15.9% | 340 | 21.0% | 6,601 |
| Ritchie County | 765 | 16.5% | 248 | 20.0% | 4,625 |
| Webster County | 761 | 17.3% | 247 | 18.0% | 4,400 |
| Tyler County | 747 | 16.7% | 242 | 12.0% | 4,480 |
| Clay County | 740 | 17.7% | 240 | 25.0% | 4,188 |
| Pleasants County | 718 | 15.8% | 233 | 8.0% | 4,548 |
| Pocahontas County | 702 | 16.8% | 228 | 20.0% | 4,172 |
| Doddridge County | 699 | 14.6% | 226 | 14.0% | 4,792 |
| Tucker County | 637 | 17.0% | 206 | 10.0% | 3,739 |
| Pendleton County | 625 | 20.6% | 202 | 16.0% | 3,033 |
| Gilmer County | 620 | 13.2% | 201 | 11.0% | 4,692 |
| Calhoun County | 564 | 17.3% | 183 | 34.0% | 3,252 |
| Wirt County | 493 | 17.8% | 160 | 20.0% | 2,772 |
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.