Owners / SEAM NY 2020 TRUST
SEAM NY 2020 TRUST
Facilities
10
across 3 states
Chains touched
1
operating names in fleet
Certified beds
1,610
Fleet mean score
46.0
composite percentile
D/F facilities
1
Open ML connections
0
Fleet
10| Facility | St | Setting | Chain | Beds | Stake | Role | Score | Grade |
|---|---|---|---|---|---|---|---|---|
| Sarah Neuman Center for Rehabilitation and Nursing | NY | snf | — | 300 | — | ADP OF THE SNF | 86.2 | D |
| SCOTT LAKE HEALTH AND REHABILITATION CENTER | FL | snf | SEAM NY 2020 TRUST | 120 | — | 5% OR GREATER INDIRECT OWNERSHIP INTEREST | 72.2 | C |
| REDBANK CENTER FOR REHABILITATION AND HEALING | NJ | snf | SEAM NY 2020 TRUST | 180 | 48% | 5% OR GREATER INDIRECT OWNERSHIP INTEREST | 65.9 | C |
| VALENCIA HILLS HEALTH AND REHABILITATION CENTER | FL | snf | SEAM NY 2020 TRUST | 249 | — | 5% OR GREATER INDIRECT OWNERSHIP INTEREST | 65.3 | C |
| SPRINGS AT BOCA CIEGA BAY | FL | snf | SEAM NY 2020 TRUST | 109 | — | 5% OR GREATER INDIRECT OWNERSHIP INTEREST | 45.1 | B |
| SEVEN HILLS HEALTH & REHABILITATION CENTER | FL | snf | SEAM NY 2020 TRUST | 156 | — | ADP OF THE SNF | 34.6 | B |
| TAMPA LAKES HEALTH AND REHABILITATION CENTER | FL | snf | SEAM NY 2020 TRUST | 179 | — | 5% OR GREATER INDIRECT OWNERSHIP INTEREST | 32.6 | B |
| SPRINGS AT LAKE POINTE WOODS | FL | snf | SEAM NY 2020 TRUST | 101 | — | 5% OR GREATER INDIRECT OWNERSHIP INTEREST | 32.5 | B |
| SURREY PLACE HEALTHCARE AND REHABILITATION | FL | snf | SEAM NY 2020 TRUST | 74 | — | 5% OR GREATER INDIRECT OWNERSHIP INTEREST | 14.0 | A |
| DIAMOND RIDGE HEALTH AND REHABILITATION CENTER | FL | snf | SEAM NY 2020 TRUST | 142 | — | 5% OR GREATER INDIRECT OWNERSHIP INTEREST | 11.1 | A |
role and stake are per CMS ownership disclosure; score is the deterministic composite percentile
Deal history
0No CHOW events match this owner's disclosed organization name as buyer or seller.
exact organization-name matches against the CMS CHOW tape — deterministic, no fuzzy merging
Deal history is exact case-insensitive organization-name matches against the CMS CHOW tape - deterministic, no fuzzy merging. ML signals come from the parallel engine.