Composite
0.7 / 100 percentile
Screener / 335793
A
KENDAL AT ITHACA
snfNY
2230 NORTH TRIPHAMMER ROAD, ITHACA, NY 14850 · CCN 335793
Peer group
snf n = 14,684
Evidence depth
deep
Certified beds
48
Model
v1.2
Reads as: riskier than 0.7% of the 14,684 facilities in the snf peer group. percentile within peer group, 100 = highest risk. Grade bands are fixed percentile cuts (F is the top 5% of peer risk), so a grade is a position, not an absolute level.
Score model5ML signals1Components16CHOW radar1Distress radar1Staffing16Penalties0Deficiencies9Licensure0Ownership52Related party5Transactions0Comps12Market rent36
Composite explanation
5| Component | Percentile | Raw | Weight | Weight share | Contribution | Counts |
|---|---|---|---|---|---|---|
| chow risk | 34.4 | 33.0 | 0.15 | 0.1154 | 3.97 | in index |
| regulatory risk | 13.5 | 8.7 | 0.30 | 0.2308 | 3.12 | in index |
| staffing risk | 12.7 | 12.8 | 0.25 | 0.1923 | 2.44 | in index |
| financial risk | 8.2 | 17.3 | 0.30 | 0.2308 | 1.89 | in index |
| billing conduct | 0.0 | 0.0 | 0.30 | 0.2308 | 0.00 | in index |
weighted_contribution sums to pre_rank_index over rows where counts_toward_index is true. The composite is the facility's percentile position of that index within its peer group, so contributions explain the input, and the rank explains the score.
ML signals — parallel engine
1| Kind | Finding | Signal | Subject | First seen |
|---|---|---|---|---|
| connection | Owner spans multiple chains | 13 chains | FRIENDS SERVICES FOR THE AGING | 18 facilities |
Findings from the always-on scanning layer: anomalies on this facility, connections through its current owners and past buyers. Runs beside the deterministic composite, never inside it. Full board on the ML Lab page.
Component scores and registry models
16| Score type | Score | Grade | Model | Status | Registry model notes |
|---|---|---|---|---|---|
| billing conduct | 0.0 | A | v0.1-pacpuf-snf | default · in composite | R22. PAC PUF SNF 2023. PDPM coding intensity vs acuity, stay length, charge markup. |
| chow risk | 25.0 | B | v0.1-pos | default · in composite | Change-of-ownership footprint in the CMS Provider of Services file: control-family, legal-name and address deltas across quarterly snapshots, plus certification reset recency and Medicare tenure. |
| chow risk | 40.9 | B | v0.6 | default · in composite | |
| financial risk | 17.3 | A | v0.5 | default · in composite | R18. |
| p adverse action 12m | 1.6 | — | v0.1 | default · in composite | R23/W4-3. Deterministic logistic p(Medicare termination within 12m), SNF only. Label = first POS termination date (any code: voluntary closure, involuntary termination, merger exit); facilities already terminated by the panel date are excluded, not counted as safe. Trained on panels 2024-07/2024-10/2025-01 (n=46,466, 283 positives), evaluated on the held-out later panel 2025-04 BEFORE shipping: AUC 0.971, top-decile lift 9.5x, top-decile capture 95.4% of the 65 terminations that followed. Separability is high because closures announce themselves in the data: collapsing occupancy is the strongest signal, and the learned NEGATIVE weight on 12m deficiency counts is the surveys-stop signature of a facility winding down, not a claim that clean inspections are dangerous. Same 15 as-of-date features and anti-leakage chassis as p_chow_12m; SFF entry rejected as a label (only one month of SFF history exists, so as-of transitions cannot be reconstructed). Score = probability x 100; grade NULL. Not in any composite. |
| p chow 12m | 0.2 | — | v0.1 | default · in composite | R22/W4-2. Deterministic logistic p(CHOW within 12m), SNF only. Trained on panels 2024-07/2024-10/2025-01 (n=50,700, 1,207 positives), evaluated on the held-out later panel 2025-04 BEFORE shipping: AUC 0.874, top-decile lift 5.0x (top 10% of predictions captured 49.6% of the CHOWs that actually closed in the next 12 months). Shipped coefficients are the evaluated ones; no post-holdout refit. Caveat: holdout positives (133) run below the training base rate because recent CHOWs surface in public records with a lag, so measured lift is conservative. Features are as-of-date public records: PBJ staffing level/trend/contract share (quarterly history to 2022Q1), deficiency and CMP counts (12m), ownership tenure and churn from CHOW-evidenced transactions, beds, occupancy, ownership type, chain size. Chain membership and ownership type are current-state (history not published). SFF and star ratings deliberately excluded (no as-of history). Notable learned direction: long ownership tenure RAISES sale odds and a recent prior CHOW lowers them. Score = probability x 100; grade is NULL because a probability is not a quality letter. Not in any composite. |
| regulatory risk | 8.7 | A | v0.3 | default · in composite | Deficiency-based, SNF population. Runs alongside v0.5-pos. |
| staffing risk | 12.8 | A | v0.3 | default · in composite | Cost-report staffing, SNF population. Runs alongside v0.4-pos, which covers ICF/IID from POS. |
| financial risk | 40.5 | B | v0.1 | superseded | Pre-registry model iteration, superseded by a later financial_risk rebuild. Rows retained for audit per project convention (see regulatory_risk v0.4-pos); never consumed because v_cii_api_facility_score and the composite eligibility join both require status = default. Backfilled 2026-07-26 by alert triage on model_registry_integrity. |
| financial risk | 20.5 | A | v0.2 | superseded | Pre-registry model iteration, superseded by a later financial_risk rebuild. Rows retained for audit per project convention (see regulatory_risk v0.4-pos); never consumed because v_cii_api_facility_score and the composite eligibility join both require status = default. Backfilled 2026-07-26 by alert triage on model_registry_integrity. |
| financial risk | 21.9 | A | v0.3 | superseded | Pre-registry model iteration, superseded by a later financial_risk rebuild. Rows retained for audit per project convention (see regulatory_risk v0.4-pos); never consumed because v_cii_api_facility_score and the composite eligibility join both require status = default. Backfilled 2026-07-26 by alert triage on model_registry_integrity. |
| financial risk | 17.5 | A | v0.4 | superseded | Pre-registry model iteration, superseded by a later financial_risk rebuild. Rows retained for audit per project convention (see regulatory_risk v0.4-pos); never consumed because v_cii_api_facility_score and the composite eligibility join both require status = default. Backfilled 2026-07-26 by alert triage on model_registry_integrity. |
| regulatory risk | 8.6 | A | v0.1 | superseded | Pre-registry model iteration, superseded by a later regulatory_risk rebuild. Rows retained for audit per project convention (see regulatory_risk v0.4-pos); never consumed because v_cii_api_facility_score and the composite eligibility join both require status = default. Backfilled 2026-07-26 by alert triage on model_registry_integrity. |
| regulatory risk | 8.6 | A | v0.2 | superseded | Pre-registry model iteration, superseded by a later regulatory_risk rebuild. Rows retained for audit per project convention (see regulatory_risk v0.4-pos); never consumed because v_cii_api_facility_score and the composite eligibility join both require status = default. Backfilled 2026-07-26 by alert triage on model_registry_integrity. |
| staffing risk | 12.8 | A | v0.1 | superseded | Pre-registry model iteration, superseded by a later staffing_risk rebuild. Rows retained for audit per project convention (see regulatory_risk v0.4-pos); never consumed because v_cii_api_facility_score and the composite eligibility join both require status = default. Backfilled 2026-07-26 by alert triage on model_registry_integrity. |
| staffing risk | 12.8 | A | v0.2 | superseded | Pre-registry model iteration, superseded by a later staffing_risk rebuild. Rows retained for audit per project convention (see regulatory_risk v0.4-pos); never consumed because v_cii_api_facility_score and the composite eligibility join both require status = default. Backfilled 2026-07-26 by alert triage on model_registry_integrity. |
Rows with counts_toward_composite false come from models that are addressable or retracted rather than default. They exist and may be informative, but they did not enter the published composite and must not be summed as though they had.
CHOW radar — 12-month sale probability
full board →p(CHOW, 12m)
0.2%
model v0.1 · computed 2026-07-29
Percentile among SNFs
35.0
100 = most likely to sell
Holdout AUC
0.874
evaluated before shipping, never refit
| Driver | Value | Pull on odds | |
|---|---|---|---|
| For-profit ownership | 0.00 | -1.24 | |
| Occupancy | 0.97 | -0.80 | |
| Never sold on record | 1.00 | +0.62 | |
| Current owner tenure (years) | 25.00 | +0.57 | |
| No PBJ staffing report | 0.00 | +0.42 | |
| Chain size (log) | 0.00 | -0.40 | |
| Total nurse staffing (HPRD) | 4.21 | -0.23 | |
| Ownership changes, last 5 years | 0.00 | +0.20 |
p_adverse_action_12m: probability the facility's Medicare participation terminates within 12 months (any POS termination code; already-terminated facilities are excluded, not scored safe). Deterministic logistic over as-of-date public records, SNF only. Holdout (2025-04 panel, evaluated before shipping): AUC 0.971, top-decile lift 9.5x. Closures announce themselves: collapsing occupancy dominates, and fewer recent surveys is a winding-down signature. inputs.features holds raw feature values, inputs.contributions each feature's standardized pull on the log-odds. Predictions never enter the composite. See /v1/models. | p_chow_12m: probability of a change of ownership within 12 months. Deterministic logistic over as-of-date public records, SNF only. Holdout (2025-04 panel, evaluated before shipping): AUC 0.874, top-decile lift 5.0x. inputs.features holds raw feature values, inputs.contributions each feature's standardized pull on the log-odds. Predictions never enter the composite. See /v1/models for full notes.
Distress radar — 12-month termination probability
full board →p(termination, 12m)
1.6%
model v0.1 · computed 2026-07-29
Percentile among SNFs
89.5
100 = most likely to lose certification
Holdout AUC
0.971
top decile caught 95% of actual exits
| Driver | Value | Pull on odds | |
|---|---|---|---|
| For-profit ownership | 0.00 | +1.62 | |
| Deficiencies, last 12 months | 0.00 | +1.43 | |
| Chain size (log) | 0.00 | +1.20 | |
| Occupancy | 0.97 | -0.94 | |
| Total nurse staffing (HPRD) | 4.21 | -0.42 | |
| No PBJ staffing report | 0.00 | +0.39 | |
| Staffing trend, last 4 quarters | -0.51 | -0.27 | |
| Fine amount, 12m (log) | 0.00 | +0.18 |
Probability the facility's Medicare participation ends within 12 months, from public records only. Red bars raise exit odds. A negative pull from deficiencies is the winding-down signature — surveys stop as a facility empties — not evidence that clean inspections are dangerous.
Staffing vs peers
16| 2025Q4 HPRD | This facility | NY median | National median | National p25–p75 |
|---|---|---|---|---|
| Total nurse | 4.21 | 3.33 | 3.28 | 2.90–3.77 |
| RN | 0.91 | 0.43 | 0.39 | 0.25–0.58 |
| Weekend total | 4.15 | 3.03 | 3.11 | — |
| Weekday total | 4.23 | 3.44 | 3.35 | — |
| Quarter | Days | Avg census | Total HPRD | RN | LPN | CNA | Weekend | Contract % |
|---|---|---|---|---|---|---|---|---|
| 2025Q4 | 92 | 46.7 | 4.21 | 0.91 | 1.01 | 2.29 | 4.15 | 2.7% |
| 2025Q3 | 92 | 44.6 | 4.27 | 0.90 | 0.93 | 2.45 | 4.15 | 2.2% |
| 2025Q2 | 91 | 43.6 | 4.36 | 0.83 | 1.12 | 2.42 | 4.33 | 0.0% |
| 2025Q1 | 90 | 43.8 | 4.45 | 0.84 | 1.09 | 2.52 | 4.44 | 0.0% |
| 2024Q4 | 92 | 42.6 | 4.72 | 0.86 | 1.19 | 2.67 | 4.65 | 0.0% |
| 2024Q3 | 92 | 40.2 | 4.89 | 0.87 | 1.36 | 2.66 | 4.71 | 0.0% |
| 2024Q2 | 91 | 39.1 | 5.22 | 0.99 | 1.57 | 2.67 | 4.84 | 0.0% |
| 2024Q1 | 91 | 39.8 | 5.05 | 1.06 | 1.43 | 2.57 | 4.82 | 0.0% |
| 2023Q4 | 92 | 36.6 | 4.98 | 0.90 | 1.32 | 2.75 | 5.02 | 0.0% |
| 2023Q3 | 92 | 40.0 | 4.52 | 0.67 | 1.29 | 2.55 | 4.59 | 0.0% |
| 2023Q2 | 91 | 41.2 | 4.65 | 0.70 | 1.42 | 2.53 | 4.36 | 0.0% |
| 2023Q1 | 90 | 43.6 | 4.90 | 0.78 | 1.38 | 2.73 | 4.75 | 0.0% |
| 2022Q4 | 92 | 46.7 | 4.25 | 0.69 | 1.17 | 2.40 | 4.04 | 0.0% |
| 2022Q3 | 92 | 47.0 | 4.00 | 0.44 | 1.22 | 2.34 | 3.79 | 0.0% |
| 2022Q2 | 91 | 46.2 | 3.96 | 0.46 | 1.24 | 2.26 | 3.85 | 0.0% |
| 2022Q1 | 90 | 45.8 | 4.29 | 0.73 | 1.30 | 2.26 | 4.06 | 0.0% |
HPRD is census-weighted: total hours over the quarter divided by total resident-days, not an average of daily ratios. Source is CMS Payroll-Based Journal daily records; only SNFs report PBJ, so other settings legitimately return zero rows.
Penalties
0No penalties on record for this facility. Absence of a record here means the sources CII ingests contain none, not that none exists anywhere.
Deficiencies
9D × 9
deficiencies by survey year
| Survey | Type | Tag | Deficiency | Scope | Corrected |
|---|---|---|---|---|---|
| 2024-12-19 | Health | F0656 | Develop and implement a complete care plan that meets all the resident's needs, with timetables and actions that can be measured. | D | 2025-02-14 |
| 2024-12-19 | Health | F0689 | Ensure that a nursing home area is free from accident hazards and provides adequate supervision to prevent accidents. | D | 2025-01-14 |
| 2024-12-19 | Health | F0695 | Provide safe and appropriate respiratory care for a resident when needed. | D | 2025-02-14 |
| 2024-12-19 | Health | F0700 | Try different approaches before using a bed rail. If a bed rail is needed, the facility must (1) assess a resident for safety risk; (2) review these risks and benefits with the resident/representative; (3) get informed consent; and (4) Correctly install and maintain the bed rail. | D | 2025-02-14 |
| 2024-12-19 | Health | F0758 | Implement gradual dose reductions(GDR) and non-pharmacological interventions, unless contraindicated, prior to initiating or instead of continuing psychotropic medication; and PRN orders for psychotropic medications are only used when the medication is necessary and PRN use is limited. | D | 2025-02-14 |
| 2024-12-19 | Health | F0804 | Ensure food and drink is palatable, attractive, and at a safe and appetizing temperature. | D | 2025-02-14 |
| 2024-12-19 | Health | F0806 | Ensure each resident receives and the facility provides food that accommodates resident allergies, intolerances, and preferences, as well as appealing options. | D | 2025-02-14 |
| 2023-05-05 | Health | F0761 | Ensure drugs and biologicals used in the facility are labeled in accordance with currently accepted professional principles; and all drugs and biologicals must be stored in locked compartments, separately locked, compartments for controlled drugs. | D | 2023-06-30 |
| 2023-05-05 | Health | F0880 | Provide and implement an infection prevention and control program. | D | 2023-06-30 |
scope_severity uses the CMS letter grid: A is least serious, L most. J, K and L are immediate jeopardy. Rows are the surveyor's findings of record, not the model's opinion.
Licensure actions
0No licensure actions on record for this facility. Absence of a record here means the sources CII ingests contain none, not that none exists anywhere.
Ownership
52| Owner | Role | Pct | From | Status | Source |
|---|---|---|---|---|---|
| ACKERMAN, CHARLES | CORPORATE OFFICER | — | 2023-04-01 | current | pecos_ownership |
| AFFINITY REHABILITATION LLP | ADP OF THE SNF | — | 2016-12-07 | current | pecos_ownership |
| BANK OF NY MELLON | ADP OF THE SNF | — | 2023-09-01 | current | pecos_ownership |
| BRADLEY, RUTH | ADP OF THE SNF | — | 2025-04-01 | current | pecos_ownership |
| CRANE, WILLIAM | TRUSTEE OF THE SNF | — | 2021-04-01 | current | pecos_ownership |
| DESNOES, DAVINA | TRUSTEE OF THE SNF | — | 2020-04-01 | current | pecos_ownership |
| DUGO, PETER | ADP OF THE SNF | — | 2023-04-01 | current | pecos_ownership |
| EHREN, JUDITH | CORPORATE OFFICER | — | 2021-04-01 | current | pecos_ownership |
| ERICKSON, MARY ANN | ADP OF THE SNF | — | 2018-04-01 | current | pecos_ownership |
| FRETTO, MEGAN | CORPORATE DIRECTOR | — | 2025-07-07 | current | pecos_ownership |
| FRIENDS SERVICES FOR THE AGING | OPERATIONAL/MANAGERIAL CONTROL | — | 2015-01-01 | current | pecos_ownership |
| FRIENDS SERVICES FOR THE AGING | ADP OF THE SNF | — | 2025-07-17 | current | pecos_ownership |
| HOLOCHAK, AUSTEN | CORPORATE DIRECTOR | — | 2025-07-07 | current | pecos_ownership |
| LAYTON, JEFFREY | TRUSTEE OF THE SNF | — | 2019-01-01 | current | pecos_ownership |
| MANTE, LAURIE | CORPORATE DIRECTOR | — | 2019-11-11 | current | pecos_ownership |
| MAREANE, JOE | CORPORATE OFFICER | — | 2024-04-01 | current | pecos_ownership |
| MATHIOS, ALAN | TRUSTEE OF THE SNF | — | 2020-10-01 | current | pecos_ownership |
| NUNLEY, STEPHEN | CORPORATE OFFICER | — | 2022-04-01 | current | pecos_ownership |
| PEDERSON, ALAN | CORPORATE OFFICER | — | 2018-04-01 | current | pecos_ownership |
| PENOYER, JEFFREY | ADP OF THE SNF | — | 2023-04-01 | current | pecos_ownership |
| RUCKER, SONIA | TRUSTEE OF THE SNF | — | 2024-04-01 | current | pecos_ownership |
| SHEPPARD, CHRISTINE | TRUSTEE OF THE SNF | — | 2023-04-01 | current | pecos_ownership |
| SKEZAS, JACOB | OPERATIONAL/MANAGERIAL CONTROL | — | 2019-08-01 | current | pecos_ownership |
| SOMMERS, GREGORY | OPERATIONAL/MANAGERIAL CONTROL | — | 2014-09-09 | current | pecos_ownership |
| STALEY, LUCY | TRUSTEE OF THE SNF | — | 2020-04-01 | current | pecos_ownership |
| TALTY, HELEN | ADP OF THE SNF | — | 2021-04-01 | current | pecos_ownership |
| WILSON, DONALD | CORPORATE OFFICER | — | 2020-04-01 | current | pecos_ownership |
| YOUMANS, MICHAEL | OPERATIONAL/MANAGERIAL CONTROL | — | 2025-07-09 | current | pecos_ownership |
| LAURIE MANTE | CORPORATE DIRECTOR | 50% | 2019-11-11 | ended 2026-05-18 | pecos_ownership |
| ALAN MATHIOS | CORPORATE OFFICER | 5% | 2020-10-01 | ended 2026-05-18 | pecos_ownership |
| ALAN PEDERSON | CORPORATE OFFICER | 5% | 2018-04-01 | ended 2026-05-18 | pecos_ownership |
| CHARLES ACKERMAN | CORPORATE OFFICER | 5% | 2023-04-01 | ended 2026-05-18 | pecos_ownership |
| CHRISTINE SHEPPARD | CORPORATE OFFICER | 5% | 2023-04-01 | ended 2026-05-18 | pecos_ownership |
| DAVINA DESNOES | CORPORATE OFFICER | 5% | 2020-04-01 | ended 2026-05-18 | pecos_ownership |
| DONALD WILSON | CORPORATE OFFICER | 5% | 2020-04-01 | ended 2026-05-18 | pecos_ownership |
| HELEN TALTY | CORPORATE OFFICER | 5% | 2021-04-01 | ended 2026-05-18 | pecos_ownership |
| JEFFREY LAYTON | CORPORATE OFFICER | 5% | 2019-01-01 | ended 2026-05-18 | pecos_ownership |
| JEFFREY PENOYER | CORPORATE OFFICER | 5% | 2023-04-01 | ended 2026-05-18 | pecos_ownership |
| JOE MAREANE | CORPORATE OFFICER | 5% | 2024-04-01 | ended 2026-05-18 | pecos_ownership |
| JUDITH EHREN | CORPORATE OFFICER | 5% | 2021-04-01 | ended 2026-05-18 | pecos_ownership |
| LUCY STALEY | CORPORATE OFFICER | 5% | 2020-04-01 | ended 2026-05-18 | pecos_ownership |
| MARY ANN ERICKSON | CORPORATE OFFICER | 5% | 2018-04-01 | ended 2026-05-18 | pecos_ownership |
| PETER DUGO | CORPORATE OFFICER | 5% | 2023-04-01 | ended 2026-05-18 | pecos_ownership |
| RUTH BRADLEY | CORPORATE OFFICER | 5% | 2025-04-01 | ended 2026-05-18 | pecos_ownership |
| SONIA RUCKER | CORPORATE OFFICER | 5% | 2024-04-01 | ended 2026-05-18 | pecos_ownership |
| STEPHEN NUNLEY | CORPORATE OFFICER | 5% | 2022-04-01 | ended 2026-05-18 | pecos_ownership |
| WILLIAM CRANE | CORPORATE OFFICER | 5% | 2021-04-01 | ended 2026-05-18 | pecos_ownership |
| AUSTEN HOLOCHAK | CORPORATE DIRECTOR | 0% | 2025-07-07 | ended 2026-05-18 | pecos_ownership |
| GREGORY SOMMERS | CORPORATE OFFICER | 0% | 2014-09-09 | ended 2026-05-18 | pecos_ownership |
| MEGAN FRETTO | CORPORATE DIRECTOR | 0% | 2025-07-07 | ended 2026-05-18 | pecos_ownership |
| JACOB SKEZAS | ADP OF THE SNF | — | 2019-08-01 | ended 2026-05-18 | pecos_ownership |
| MICHAEL YOUMANS | OPERATIONAL/MANAGERIAL CONTROL | — | 2025-07-09 | ended 2026-05-18 | pecos_ownership |
PECOS ownership and managing-control associations. Current edges have no end date in the source; historical edges are retained.
Transactions
0No transactions on record for this facility. Absence of a record here means the sources CII ingests contain none, not that none exists anywhere.
Comparable trades — NY snf
12| Close | Facility | Price | $/bed | Cap rate | Beds | Buyer |
|---|---|---|---|---|---|---|
| 2024-06-01 | PINE FOREST CARE CENTER FOR REHAB & HEALTHCARE | — | — | — | 76 | HILAIRE CARE NETWORK LLC |
| 2024-05-17 | Fairport Rehabilitation and Nursing Center | — | — | — | 196 | FAIRPORT SNF LLC |
| 2024-05-09 | MARIA REGINA REHABILITATION AND NURSING | — | — | — | 188 | OPTIMA CARE BRENTWOOD LLC |
| 2024-02-01 | TUPPER LAKE CENTER FOR NURSING AND REHABILITATION | — | — | — | 60 | TUPPER LAKE CENTER LLC |
| 2023-08-31 | WEST VILLAGE REHABILITATION AND NURSING CENTER | — | — | — | 105 | VILLAGE ACQUISITION I LLC |
| 2023-06-23 | Crest Manor Living and Rehabilitation Center | — | — | — | 80 | CREST OPCO LLC |
| 2023-06-23 | East Side Nursing Home | — | — | — | 80 | EASTSIDE OPCO LLC |
| 2023-05-05 | SPRINGVALE NURSING & REHABILITATION CENTER | — | — | — | 200 | THE PREMIER CENTER FOR REHABILITATION OF WESTCHESTER LLC |
| 2023-04-21 | LIVINGSTON HILLS NURSING AND REHABILITATION CENTER | — | — | — | 120 | LIVINGSTON TWO OPERATIONS LLC |
| 2023-01-12 | EDEN REHABILITATION NURSING CENTER | — | — | — | 40 | EDRNC OPERATING LLC |
| 2023-01-01 | DUNKIRK REHABILITATION & NURSING CENTER | — | — | — | 40 | DURNC OPERATING LLC |
| 2022-09-12 | ROSS CENTER FOR NURSING AND REHABILITATION | — | — | — | 135 | ROSS OPCO LLC |
Most recent same-state, same-setting trades. Most CHOW-derived trades carry no disclosed consideration, so price, $/bed, and cap rate show only where a sale price was resolved from a deed or filing — blanks are honest, not missing data.
Market rent context
36| Geo | Kind | BR | Amount | As of | Source |
|---|---|---|---|---|---|
| county 36109 | acs median gross | 0 | $1,053 | 2024-12-31 | CENSUS_ACS5 |
| county 36109 | fmr | 0 | $1,263 | 2025-10-01 | HUD_USER_FMR |
| county 36109 | acs median gross | 1 | $1,226 | 2024-12-31 | CENSUS_ACS5 |
| county 36109 | fmr | 1 | $1,466 | 2025-10-01 | HUD_USER_FMR |
| county 36109 | acs median gross | 2 | $1,493 | 2024-12-31 | CENSUS_ACS5 |
| county 36109 | fmr | 2 | $1,753 | 2025-10-01 | HUD_USER_FMR |
| county 36109 | acs median gross | 3 | $1,666 | 2024-12-31 | CENSUS_ACS5 |
| county 36109 | fmr | 3 | $2,102 | 2025-10-01 | HUD_USER_FMR |
| county 36109 | acs median gross | 4 | $2,205 | 2024-12-31 | CENSUS_ACS5 |
| county 36109 | fmr | 4 | $2,624 | 2025-10-01 | HUD_USER_FMR |
| county 36109 | acs median gross | 5 | $1,359 | 2024-12-31 | CENSUS_ACS5 |
| county 36109 | acs median gross | $1,411 | 2024-12-31 | CENSUS_ACS5 | |
| county 36109 | acs recent mover gross | $1,480 | 2024-12-31 | CENSUS_ACS5 | |
| zcta 14850 | acs median gross | 0 | $1,076 | 2024-12-31 | CENSUS_ACS5 |
| zcta 14850 | acs median gross | 1 | $1,314 | 2024-12-31 | CENSUS_ACS5 |
| zcta 14850 | acs median gross | 2 | $1,663 | 2024-12-31 | CENSUS_ACS5 |
| zcta 14850 | acs median gross | 3 | $1,724 | 2024-12-31 | CENSUS_ACS5 |
| zcta 14850 | acs median gross | 4 | $2,255 | 2024-12-31 | CENSUS_ACS5 |
| zcta 14850 | acs median gross | 5 | $1,355 | 2024-12-31 | CENSUS_ACS5 |
| zcta 14850 | acs median gross | $1,480 | 2024-12-31 | CENSUS_ACS5 | |
| zcta 14850 | acs recent mover gross | $1,577 | 2024-12-31 | CENSUS_ACS5 | |
| zip 14850 | payment standard 110 | 0 | $1,496 | 2025-10-01 | HUD_USER_SAFMR |
| zip 14850 | payment standard 90 | 0 | $1,224 | 2025-10-01 | HUD_USER_SAFMR |
| zip 14850 | safmr | 0 | $1,360 | 2025-10-01 | HUD_USER_SAFMR |
| zip 14850 | payment standard 110 | 1 | $1,738 | 2025-10-01 | HUD_USER_SAFMR |
| zip 14850 | payment standard 90 | 1 | $1,422 | 2025-10-01 | HUD_USER_SAFMR |
| zip 14850 | safmr | 1 | $1,580 | 2025-10-01 | HUD_USER_SAFMR |
| zip 14850 | payment standard 110 | 2 | $2,079 | 2025-10-01 | HUD_USER_SAFMR |
| zip 14850 | payment standard 90 | 2 | $1,701 | 2025-10-01 | HUD_USER_SAFMR |
| zip 14850 | safmr | 2 | $1,890 | 2025-10-01 | HUD_USER_SAFMR |
| zip 14850 | payment standard 110 | 3 | $2,497 | 2025-10-01 | HUD_USER_SAFMR |
| zip 14850 | payment standard 90 | 3 | $2,043 | 2025-10-01 | HUD_USER_SAFMR |
| zip 14850 | safmr | 3 | $2,270 | 2025-10-01 | HUD_USER_SAFMR |
| zip 14850 | payment standard 110 | 4 | $3,113 | 2025-10-01 | HUD_USER_SAFMR |
| zip 14850 | payment standard 90 | 4 | $2,547 | 2025-10-01 | HUD_USER_SAFMR |
| zip 14850 | safmr | 4 | $2,830 | 2025-10-01 | HUD_USER_SAFMR |
ACS median gross rents and HUD FMR/SAFMR for the facility's county and ZIP. Context for underwriting, not facility pricing.