New York expanded Medicaid, so the federal work requirement that takes effect January 1, 2027 applies to its expansion adults. About 1,861,116 of them (15.5% of an expansion pool of 1,989,558) 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 406,888 people in New York lose coverage by 2034: 351,055 of them still eligible but lost to paperwork and reporting failures, and 55,833 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. New York scores 62 of 100 on this model's ex parte capability index, a mid band; its eligibility system is NYSoH / WMS.
Key figures
| Measure | New York |
|---|---|
| Expansion state | Yes |
| Subject to the requirement via waiver | No |
| Expansion pool (adults 19 to 64) | 1,989,558 |
| Adults subject, strict definition | 1,861,116 |
| Adults subject, permissive definition | 1,823,893 |
| Share of expansion pool subject | 15.5% |
| Projected coverage loss by 2034 | 406,888 |
| Hardship exception status | Adopting |
| Early implementer | No |
| Ex parte capability score (0 to 100) | 62 (mid) |
Who is subject in New York
Of the 1,861,115 subject adults, 34% already work 80 or more hours a month and 58% are not working. 30% have a child under 14 at home. Among those not working, 42% report a disability and 15% are caregivers.
| Characteristic | Share of subject adults |
|---|---|
| Age 19-24 | 14% |
| Age 25-34 | 20% |
| Age 35-44 | 20% |
| Age 45-54 | 19% |
| 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 | 42% |
| Not working: Caregiver | 15% |
| Not working: Postpartum | 1% |
| Not working: Student | 5% |
| Not working: Other | 37% |
Why eligible people lose coverage
Of the 406,888 projected to lose coverage in New York, 351,055 meet the requirement or qualify for an exemption but fail to document it. 161,722 of those are working people who cannot prove their hours through data the state can see, and 189,333 qualify for an exemption the state does not detect automatically.
| Group | Projected to lose coverage |
|---|---|
| Multiple part-time jobs (aggregation failure) | 50,699 |
| Variable shifts / on-call work | 33,690 |
| Self-employed (other) | 30,491 |
| Full-time students not auto-verified | 14,643 |
| Gig / courier (DoorDash, Uber, Lyft, Instacart) | 9,963 |
| Volunteering / job training | 9,060 |
| Seasonal: agriculture, hospitality, food service | 6,973 |
| Cash-paid construction & trades | 6,203 |
| Medically frail without auto-match | 77,958 |
| Caregivers of a disabled adult | 53,689 |
| Parent caregivers of children ≤13 without auto-match | 16,520 |
| SUD treatment not flagged in claims data | 14,534 |
| Kinship caregivers (non-parent) of children ≤13 | 10,348 |
| American Indian / Alaska Native (tribal exemption) | 9,186 |
| Other categorical exemptions (foster, AYA cancer, SNAP/TANF) | 4,805 |
| Recent incarceration (data-match gap) | 1,611 |
| Pregnancy / postpartum data lag | 681 |
Can the state renew people automatically?
The ex parte capability index blends the state's observed automatic-renewal rate (55% in CMS eligibility-processing data), the wage, disability, and other data sources it can query, and its history of churn. New York's composite score is 62 (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 | 62 |
| Observed ex parte | 55 |
| Core capability | 100 |
| Data sources | 76 |
| Historical churn | 50 |
How subjects overlap across exemption categories
| Combination | Adults | Share |
|---|---|---|
| None of the four | 751,601 | 40.4% |
| Working ≥ qualifying hours / income | 348,957 | 18.8% |
| Medically frail | 255,862 | 13.8% |
| Working ≥ qualifying hours / income + Parent caregiver of child ≤13 | 216,266 | 11.6% |
| Full-time student | 105,301 | 5.7% |
| Parent caregiver of child ≤13 | 93,342 | 5.0% |
| Working ≥ qualifying hours / income + Full-time student | 41,716 | 2.2% |
| Working ≥ qualifying hours / income + Medically frail | 14,273 | 0.8% |
Counties in New York
Subject adults concentrate: Kings County (214,811), Queens County (203,971), and Suffolk County (146,465) account for 30% of the state's subject population.
| County | Adults subject | Subject rate | Projected loss | Poverty rate | Working-age population |
|---|---|---|---|---|---|
| Kings County | 214,811 | 13.3% | 46,963 | 19.0% | 1,615,318 |
| Queens County | 203,971 | 14.2% | 44,593 | 12.0% | 1,433,407 |
| Suffolk County | 146,465 | 15.9% | 32,021 | 6.0% | 918,596 |
| Nassau County | 139,582 | 17.1% | 30,516 | 5.0% | 815,106 |
| New York County | 135,695 | 12.5% | 29,666 | 16.0% | 1,089,422 |
| Bronx County | 118,688 | 14.1% | 25,948 | 27.0% | 841,440 |
| Westchester County | 96,165 | 16.2% | 21,024 | 9.0% | 592,857 |
| Erie County | 93,210 | 16.5% | 20,378 | 14.0% | 563,461 |
| Monroe County | 74,889 | 16.8% | 16,373 | 13.0% | 447,158 |
| Onondaga County | 46,948 | 17.0% | 10,264 | 14.0% | 276,546 |
| Richmond County | 46,857 | 15.8% | 10,244 | 10.0% | 297,298 |
| Orange County | 39,185 | 16.6% | 8,567 | 13.0% | 236,502 |
| Albany County | 33,471 | 17.1% | 7,318 | 13.0% | 195,864 |
| Rockland County | 33,344 | 18.3% | 7,290 | 15.0% | 182,090 |
| Dutchess County | 30,400 | 16.7% | 6,646 | 9.0% | 181,615 |
| Saratoga County | 23,893 | 16.8% | 5,224 | 7.0% | 142,580 |
| Oneida County | 22,529 | 17.1% | 4,925 | 14.0% | 131,544 |
| Broome County | 22,311 | 19.4% | 4,878 | 19.0% | 115,275 |
| Niagara County | 21,229 | 17.3% | 4,641 | 13.0% | 122,868 |
| Ulster County | 18,512 | 16.8% | 4,047 | 15.0% | 110,016 |
| Rensselaer County | 16,650 | 17.1% | 3,640 | 11.0% | 97,664 |
| Schenectady County | 15,608 | 16.4% | 3,412 | 12.0% | 95,025 |
| Tompkins County | 13,670 | 20.5% | 2,989 | 16.0% | 66,542 |
| Chautauqua County | 13,056 | 18.4% | 2,854 | 18.0% | 71,012 |
| Oswego County | 12,463 | 17.8% | 2,725 | 17.0% | 69,985 |
| St. Lawrence County | 12,089 | 19.2% | 2,643 | 17.0% | 62,908 |
| Ontario County | 11,935 | 18.5% | 2,609 | 9.0% | 64,526 |
| Putnam County | 10,329 | 17.4% | 2,258 | 6.0% | 59,180 |
| Jefferson County | 9,848 | 14.3% | 2,153 | 13.0% | 68,654 |
| Steuben County | 9,351 | 17.8% | 2,044 | 13.0% | 52,504 |
| Wayne County | 9,293 | 17.8% | 2,032 | 11.0% | 52,102 |
| Chemung County | 8,097 | 17.1% | 1,770 | 15.0% | 47,320 |
| Cattaraugus County | 8,034 | 18.9% | 1,756 | 17.0% | 42,614 |
| Clinton County | 8,030 | 16.7% | 1,756 | 13.0% | 48,018 |
| Sullivan County | 8,020 | 17.3% | 1,753 | 15.0% | 46,287 |
| Cayuga County | 7,563 | 17.3% | 1,654 | 13.0% | 43,775 |
| Madison County | 7,503 | 19.0% | 1,640 | 10.0% | 39,568 |
| Otsego County | 7,169 | 19.9% | 1,567 | 13.0% | 35,950 |
| Warren County | 6,980 | 18.6% | 1,526 | 9.0% | 37,544 |
| Livingston County | 6,796 | 18.5% | 1,486 | 12.0% | 36,693 |
| Columbia County | 6,695 | 19.2% | 1,464 | 10.0% | 34,876 |
| Herkimer County | 6,324 | 18.9% | 1,383 | 12.0% | 33,554 |
| Allegany County | 5,916 | 22.1% | 1,293 | 17.0% | 26,744 |
| Washington County | 5,880 | 16.4% | 1,286 | 11.0% | 35,743 |
| Genesee County | 5,600 | 16.6% | 1,224 | 10.0% | 33,694 |
| Cortland County | 5,320 | 18.8% | 1,163 | 13.0% | 28,242 |
| Fulton County | 5,192 | 17.0% | 1,135 | 14.0% | 30,540 |
| Tioga County | 5,043 | 18.5% | 1,103 | 10.0% | 27,234 |
| Delaware County | 5,041 | 20.4% | 1,102 | 15.0% | 24,714 |
| Chenango County | 4,847 | 18.7% | 1,060 | 12.0% | 25,960 |
| Montgomery County | 4,840 | 17.3% | 1,058 | 15.0% | 27,896 |
| Greene County | 4,769 | 17.1% | 1,043 | 10.0% | 27,917 |
| Franklin County | 4,352 | 15.7% | 952 | 18.0% | 27,754 |
| Wyoming County | 3,978 | 16.6% | 870 | 11.0% | 23,962 |
| Orleans County | 3,957 | 16.5% | 865 | 13.0% | 23,918 |
| Essex County | 3,917 | 18.5% | 856 | 10.0% | 21,214 |
| Schoharie County | 3,434 | 20.2% | 751 | 10.0% | 17,044 |
| Seneca County | 3,337 | 17.8% | 730 | 13.0% | 18,801 |
| Lewis County | 2,813 | 18.9% | 615 | 13.0% | 14,854 |
| Yates County | 2,659 | 20.1% | 581 | 14.0% | 13,206 |
| Schuyler County | 1,915 | 19.1% | 419 | 16.0% | 10,044 |
| Hamilton County | 646 | 23.8% | 141 | 11.0% | 2,706 |
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.