California expanded Medicaid, so the federal work requirement that takes effect January 1, 2027 applies to its expansion adults. About 4,700,448 of them (19.6% of an expansion pool of 5,024,843) 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 1,022,390 people in California lose coverage by 2034: 881,376 of them still eligible but lost to paperwork and reporting failures, and 141,013 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. California scores 74 of 100 on this model's ex parte capability index, a low band; its eligibility system is CalSAWS.
Key figures
| Measure | California |
|---|---|
| Expansion state | Yes |
| Subject to the requirement via waiver | No |
| Expansion pool (adults 19 to 64) | 5,024,843 |
| Adults subject, strict definition | 4,700,448 |
| Adults subject, permissive definition | 4,606,439 |
| Share of expansion pool subject | 19.6% |
| Projected coverage loss by 2034 | 1,022,390 |
| Hardship exception status | Adopting |
| Early implementer | No |
| Ex parte capability score (0 to 100) | 74 (low) |
Who is subject in California
Of the 4,700,448 subject adults, 34% already work 80 or more hours a month and 58% are not working. 29% have a child under 14 at home. Among those not working, 38% report a disability and 19% are caregivers.
| Characteristic | Share of subject adults |
|---|---|
| Age 19-24 | 19% |
| Age 25-34 | 20% |
| Age 35-44 | 17% |
| Age 45-54 | 18% |
| Age 55-64 | 26% |
| Not working | 58% |
| 1 to 19 hours a month | 1% |
| 20 to 79 hours a month | 7% |
| 80 or more hours a month (meets the bar) | 34% |
| Not working: Disabled | 38% |
| Not working: Caregiver | 19% |
| Not working: Postpartum | 0% |
| Not working: Student | 7% |
| Not working: Other | 36% |
Why eligible people lose coverage
Of the 1,022,390 projected to lose coverage in California, 881,376 meet the requirement or qualify for an exemption but fail to document it. 405,559 of those are working people who cannot prove their hours through data the state can see, and 475,817 qualify for an exemption the state does not detect automatically.
| Group | Projected to lose coverage |
|---|---|
| Multiple part-time jobs (aggregation failure) | 122,306 |
| Self-employed (other) | 90,807 |
| Variable shifts / on-call work | 74,637 |
| Full-time students not auto-verified | 36,983 |
| Seasonal: agriculture, hospitality, food service | 24,876 |
| Cash-paid construction & trades | 23,056 |
| Volunteering / job training | 17,336 |
| Gig / courier (DoorDash, Uber, Lyft, Instacart) | 15,559 |
| Medically frail without auto-match | 183,651 |
| Caregivers of a disabled adult | 146,213 |
| American Indian / Alaska Native (tribal exemption) | 41,703 |
| SUD treatment not flagged in claims data | 35,394 |
| Kinship caregivers (non-parent) of children ≤13 | 28,546 |
| Parent caregivers of children ≤13 without auto-match | 22,690 |
| Other categorical exemptions (foster, AYA cancer, SNAP/TANF) | 12,135 |
| Recent incarceration (data-match gap) | 4,068 |
| Pregnancy / postpartum data lag | 1,417 |
Can the state renew people automatically?
The ex parte capability index blends the state's observed automatic-renewal rate (76% in CMS eligibility-processing data), the wage, disability, and other data sources it can query, and its history of churn. California's composite score is 74 (low 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 | 74 |
| Observed ex parte | 76 |
| Core capability | 100 |
| Data sources | 80 |
| Historical churn | 50 |
How subjects overlap across exemption categories
| Combination | Adults | Share |
|---|---|---|
| None of the four | 1,950,216 | 41.5% |
| Working ≥ qualifying hours / income | 1,058,820 | 22.5% |
| Medically frail | 603,593 | 12.8% |
| Full-time student | 378,368 | 8.1% |
| Working ≥ qualifying hours / income + Parent caregiver of child ≤13 | 298,989 | 6.4% |
| Working ≥ qualifying hours / income + Full-time student | 183,282 | 3.9% |
| Parent caregiver of child ≤13 | 124,343 | 2.6% |
| Working ≥ qualifying hours / income + Medically frail | 39,043 | 0.8% |
Counties in California
Subject adults concentrate: Los Angeles County (1,135,381), Orange County (388,787), and San Diego County (380,226) account for 41% of the state's subject population.
| County | Adults subject | Subject rate | Projected loss | Poverty rate | Working-age population |
|---|---|---|---|---|---|
| Los Angeles County | 1,135,381 | 18.4% | 246,956 | 14.0% | 6,179,654 |
| Orange County | 388,787 | 20.0% | 84,565 | 10.0% | 1,944,130 |
| San Diego County | 380,226 | 18.6% | 82,703 | 11.0% | 2,048,204 |
| Riverside County | 304,922 | 20.8% | 66,323 | 11.0% | 1,463,871 |
| San Bernardino County | 256,916 | 19.3% | 55,881 | 14.0% | 1,329,721 |
| Santa Clara County | 225,179 | 18.7% | 48,978 | 7.0% | 1,206,320 |
| Alameda County | 185,894 | 17.7% | 40,434 | 9.0% | 1,049,320 |
| Sacramento County | 183,525 | 19.0% | 39,918 | 13.0% | 967,520 |
| Contra Costa County | 141,595 | 20.3% | 30,798 | 8.0% | 696,179 |
| Fresno County | 120,705 | 20.5% | 26,254 | 20.0% | 588,426 |
| Kern County | 108,704 | 20.4% | 23,644 | 19.0% | 532,014 |
| Ventura County | 105,773 | 21.2% | 23,007 | 9.0% | 498,372 |
| San Joaquin County | 94,440 | 20.1% | 20,541 | 13.0% | 469,876 |
| San Francisco County | 89,269 | 15.8% | 19,417 | 10.0% | 563,228 |
| San Mateo County | 88,281 | 19.3% | 19,202 | 6.0% | 457,478 |
| Stanislaus County | 66,606 | 20.6% | 14,487 | 14.0% | 322,646 |
| Sonoma County | 63,388 | 22.4% | 13,787 | 9.0% | 282,528 |
| Santa Barbara County | 61,049 | 23.4% | 13,279 | 14.0% | 260,404 |
| Tulare County | 57,594 | 21.2% | 12,527 | 18.0% | 271,918 |
| Placer County | 53,434 | 22.5% | 11,622 | 7.0% | 237,540 |
| Solano County | 52,937 | 19.7% | 11,514 | 9.0% | 269,364 |
| Monterey County | 52,817 | 20.8% | 11,488 | 12.0% | 253,490 |
| San Luis Obispo County | 43,430 | 26.6% | 9,446 | 13.0% | 163,028 |
| Santa Cruz County | 38,388 | 24.1% | 8,350 | 11.0% | 159,568 |
| Merced County | 36,358 | 21.7% | 7,908 | 19.0% | 167,269 |
| Marin County | 34,436 | 23.9% | 7,490 | 7.0% | 143,769 |
| Yolo County | 31,670 | 22.7% | 6,888 | 17.0% | 139,434 |
| Butte County | 29,323 | 23.7% | 6,378 | 18.0% | 123,644 |
| El Dorado County | 26,873 | 24.9% | 5,845 | 9.0% | 107,884 |
| Shasta County | 23,733 | 23.4% | 5,162 | 13.0% | 101,347 |
| Imperial County | 21,141 | 20.8% | 4,598 | 21.0% | 101,788 |
| Madera County | 19,343 | 21.1% | 4,207 | 20.0% | 91,723 |
| Humboldt County | 17,817 | 22.1% | 3,875 | 20.0% | 80,476 |
| Napa County | 17,706 | 22.5% | 3,851 | 8.0% | 78,544 |
| Kings County | 16,480 | 17.6% | 3,585 | 16.0% | 93,568 |
| Nevada County | 14,460 | 26.7% | 3,145 | 10.0% | 54,205 |
| Mendocino County | 12,260 | 25.4% | 2,667 | 16.0% | 48,258 |
| Sutter County | 11,980 | 21.2% | 2,606 | 13.0% | 56,494 |
| Yuba County | 9,514 | 19.3% | 2,069 | 15.0% | 49,348 |
| Lake County | 8,915 | 24.5% | 1,939 | 17.0% | 36,358 |
| Tehama County | 8,347 | 23.4% | 1,816 | 16.0% | 35,604 |
| San Benito County | 8,191 | 20.4% | 1,782 | 8.0% | 40,115 |
| Tuolumne County | 7,542 | 25.7% | 1,640 | 11.0% | 29,350 |
| Calaveras County | 6,578 | 26.8% | 1,431 | 13.0% | 24,577 |
| Siskiyou County | 6,153 | 27.7% | 1,338 | 17.0% | 22,220 |
| Amador County | 5,272 | 22.6% | 1,147 | 8.0% | 23,358 |
| Glenn County | 3,737 | 23.9% | 813 | 15.0% | 15,631 |
| Lassen County | 3,353 | 17.2% | 729 | 15.0% | 19,443 |
| Del Norte County | 3,225 | 20.5% | 701 | 14.0% | 15,711 |
| Plumas County | 3,124 | 31.7% | 680 | 11.0% | 9,852 |
| Colusa County | 2,888 | 23.2% | 628 | 11.0% | 12,460 |
| Mariposa County | 2,517 | 28.0% | 547 | 16.0% | 9,003 |
| Inyo County | 2,468 | 24.3% | 537 | 12.0% | 10,136 |
| Trinity County | 2,132 | 26.0% | 464 | 22.0% | 8,202 |
| Mono County | 1,696 | 20.1% | 369 | 11.0% | 8,454 |
| Modoc County | 1,270 | 30.6% | 276 | 17.0% | 4,150 |
| Sierra County | 460 | 36.0% | 100 | 13.0% | 1,280 |
| Alpine County | 247 | 26.6% | 54 | 14.0% | 930 |
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.