Composite
66.0 / 100 percentile
Screener / 325118
C
Gallup Nursing & Rehabilitation LLC
snfNM
306 East Nizhoni Blvd, Gallup, NM 87301 · CCN 325118 · chain FIRST SWEETZER HOLDINGS LLC
Peer group
snf n = 14,684
Evidence depth
deep
Certified beds
62
Model
v1.2
Reads as: riskier than 66.0% 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 signals25Components16CHOW radar1Distress radar1Staffing16Penalties0Deficiencies20Licensure0Ownership29Related party6Transactions1Comps12Market rent34
Composite explanation
5| Component | Percentile | Raw | Weight | Weight share | Contribution | Counts |
|---|---|---|---|---|---|---|
| staffing risk | 85.5 | 85.5 | 0.25 | 0.1923 | 16.44 | in index |
| billing conduct | 54.8 | 41.4 | 0.30 | 0.2308 | 12.65 | in index |
| financial risk | 46.2 | 43.2 | 0.30 | 0.2308 | 10.66 | in index |
| regulatory risk | 40.4 | 29.4 | 0.30 | 0.2308 | 9.32 | in index |
| chow risk | 46.6 | 29.0 | 0.15 | 0.1154 | 5.38 | 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
25| Kind | Finding | Signal | Subject | First seen |
|---|---|---|---|---|
| connection | Owner fleet risk far above national | +33.9 vs natl | STERNSHEIN JENNIFER | 49 facilities |
| connection | Owner fleet risk far above national | +33.8 vs natl | HAGINS ELIZABETH | 52 facilities |
| connection | Owner fleet risk far above national | +33.0 vs natl | THE WRIGHT GROUP CONSULTING LLC | 18 facilities |
| connection | Owner fleet risk far above national | +32.5 vs natl | ZIMMERMAN CAROLINE | 35 facilities |
| connection | Owner fleet risk far above national | +32.2 vs natl | OPCO NM SKILLED MGMT LLC | 16 facilities |
| connection | Owner fleet risk far above national | +32.1 vs natl | GARETZ DAVID | 66 facilities |
| connection | Owner fleet risk far above national | +32.0 vs natl | MINDLE ADAM | 56 facilities |
| connection | Owner fleet risk far above national | +30.5 vs natl | KAPLAN ESTHER | 55 facilities |
| connection | Owner fleet risk far above national | +29.4 vs natl | KAPLAN MOSHA | 23 facilities |
| connection | Owner fleet risk far above national | +29.0 vs natl | FIRST SWEETZER HOLDINGS LLC | 26 facilities |
| connection | Owner fleet risk far above national | +29.0 vs natl | OPCO CA SKILLED MGMT INC | 41 facilities |
| connection | Owner fleet risk far above national | +28.9 vs natl | UNGER JEFFREY | 46 facilities |
| connection | Owner fleet risk far above national | +28.8 vs natl | GURWITZ SOLOMON | 42 facilities |
| connection | Owner fleet risk far above national | +28.3 vs natl | HALLMARK ADVISORS LLC | 8 facilities |
| connection | Owner fleet risk far above national | +28.2 vs natl | CONTINUUM REHAB GROUP LLC | 36 facilities |
| connection | Owner fleet risk far above national | +26.2 vs natl | HATTERAS INVESTMENTS LLC | 19 facilities |
| connection | Owner spans multiple chains | 12 chains | GARETZ DAVID | 61 facilities |
| connection | Owner spans multiple chains | 11 chains | HAGINS ELIZABETH | 48 facilities |
| connection | Owner spans multiple chains | 11 chains | KAPLAN ESTHER | 54 facilities |
| connection | Owner spans multiple chains | 11 chains | MINDLE ADAM | 52 facilities |
| connection | Owner spans multiple chains | 10 chains | HANSEN HUNTER LLC | 28 facilities |
| connection | Owner spans multiple chains | 10 chains | STERNSHEIN JENNIFER | 44 facilities |
| connection | Owner spans multiple chains | 10 chains | GURWITZ SOLOMON | 41 facilities |
| connection | Owner spans multiple chains | 9 chains | UNGER JEFFREY | 45 facilities |
| connection | Owner spans multiple chains | 9 chains | OPCO CA SKILLED MGMT INC | 40 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 | 41.4 | B | v0.1-pacpuf-snf | default · in composite | R22. PAC PUF SNF 2023. PDPM coding intensity vs acuity, stay length, charge markup. |
| chow risk | 55.0 | C | 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 | 3.1 | A | v0.6 | default · in composite | |
| financial risk | 43.2 | B | v0.5 | default · in composite | R18. |
| p adverse action 12m | 0.0 | — | 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 | 0.0 | — | 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 | 29.4 | B | v0.3 | default · in composite | Deficiency-based, SNF population. Runs alongside v0.5-pos. |
| staffing risk | 85.5 | F | v0.3 | default · in composite | Cost-report staffing, SNF population. Runs alongside v0.4-pos, which covers ICF/IID from POS. |
| financial risk | 51.1 | C | 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 | 31.1 | B | 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 | 52.9 | C | 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 | 46.9 | C | 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 | 29.2 | B | 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 | 29.2 | B | 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 | 85.5 | F | 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 | 85.5 | F | 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)
0.0%
model v0.1 · computed 2026-07-29
Percentile among SNFs
7.0
100 = most likely to sell
Holdout AUC
0.874
evaluated before shipping, never refit
| Driver | Value | Pull on odds | |
|---|---|---|---|
| Never sold on record | 0.00 | -1.62 | |
| Current owner tenure (years) | 2.97 | -1.56 | |
| Ownership changes, last 5 years | 1.00 | -0.87 | |
| Occupancy | 0.94 | -0.71 | |
| For-profit ownership | 1.00 | +0.69 | |
| No PBJ staffing report | 0.00 | +0.42 | |
| Chain size (log) | 3.09 | +0.25 | |
| Total nurse staffing (HPRD) | 2.67 | +0.07 |
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)
0.0%
model v0.1 · computed 2026-07-29
Percentile among SNFs
20.0
100 = most likely to lose certification
Holdout AUC
0.971
top decile caught 95% of actual exits
| Driver | Value | Pull on odds | |
|---|---|---|---|
| Occupancy | 0.94 | -0.82 | |
| For-profit ownership | 1.00 | -0.69 | |
| Chain size (log) | 3.09 | -0.60 | |
| No PBJ staffing report | 0.00 | +0.39 | |
| Deficiencies, last 12 months | 6.00 | +0.32 | |
| Never sold on record | 0.00 | -0.28 | |
| Current owner tenure (years) | 2.97 | -0.25 | |
| Ownership changes, last 5 years | 1.00 | +0.23 |
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 | NM median | National median | National p25–p75 |
|---|---|---|---|---|
| Total nurse | 2.67 | 2.82 | 3.28 | 2.90–3.77 |
| RN | 0.69 | 0.41 | 0.39 | 0.25–0.58 |
| Weekend total | 2.46 | 2.65 | 3.11 | — |
| Weekday total | 2.76 | 2.88 | 3.35 | — |
| Quarter | Days | Avg census | Total HPRD | RN | LPN | CNA | Weekend | Contract % |
|---|---|---|---|---|---|---|---|---|
| 2025Q4 | 92 | 58.5 | 2.67 | 0.69 | 0.10 | 1.89 | 2.46 | 4.8% |
| 2025Q3 | 92 | 57.4 | 2.63 | 0.70 | 0.12 | 1.81 | 2.32 | 5.3% |
| 2025Q2 | 91 | 58.4 | 2.61 | 0.53 | 0.22 | 1.86 | 2.48 | 4.7% |
| 2025Q1 | 90 | 58.7 | 2.64 | 0.46 | 0.34 | 1.84 | 2.56 | 0.0% |
| 2024Q4 | 92 | 59.8 | 2.48 | 0.41 | 0.36 | 1.72 | 2.46 | 5.2% |
| 2024Q3 | 92 | 59.0 | 2.47 | 0.42 | 0.35 | 1.70 | 2.34 | 0.0% |
| 2024Q2 | 91 | 57.0 | 2.63 | 0.47 | 0.42 | 1.74 | 2.37 | 0.0% |
| 2024Q1 | 91 | 56.9 | 2.79 | 0.34 | 0.48 | 1.97 | 2.72 | 3.5% |
| 2023Q4 | 92 | 56.5 | 2.93 | 0.49 | 0.35 | 2.09 | 2.78 | 6.8% |
| 2023Q3 | 92 | 58.7 | 2.81 | 0.41 | 0.42 | 1.98 | 2.58 | 9.4% |
| 2023Q2 | 91 | 58.1 | 2.65 | 0.27 | 0.64 | 1.75 | 2.56 | 7.7% |
| 2023Q1 | 90 | 60.3 | 2.31 | 0.37 | 0.45 | 1.49 | 2.34 | 8.9% |
| 2022Q4 | 92 | 56.4 | 2.55 | 0.39 | 0.50 | 1.66 | 2.51 | 3.5% |
| 2022Q3 | 92 | 52.2 | 2.40 | 0.36 | 0.51 | 1.53 | 2.48 | 9.6% |
| 2022Q2 | 91 | 51.2 | 2.39 | 0.39 | 0.45 | 1.55 | 2.28 | 4.3% |
| 2022Q1 | 90 | 53.7 | 2.44 | 0.35 | 0.43 | 1.65 | 2.37 | 3.8% |
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
20D × 12E × 4F × 3J × 1
deficiencies by survey year
| Survey | Type | Tag | Deficiency | Scope | Corrected |
|---|---|---|---|---|---|
| 2026-01-23 | Health | F0655 | Create and put into place a plan for meeting the resident's most immediate needs within 48 hours of being admitted | D | 2026-02-13 |
| 2026-01-23 | Health | F0658 | Ensure services provided by the nursing facility meet professional standards of quality. | E | 2026-02-13 |
| 2026-01-23 | Health | F0689 | Ensure that a nursing home area is free from accident hazards and provides adequate supervision to prevent accidents. | E | 2026-02-13 |
| 2026-01-23 | Health | F0842 | Safeguard resident-identifiable information and/or maintain medical records on each resident that are in accordance with accepted professional standards. | D | 2026-02-13 |
| 2026-01-23 | Health | F0880 | Provide and implement an infection prevention and control program. | D | 2026-02-13 |
| 2026-01-23 | Health | F0921 | Make sure that the nursing home area is safe, easy to use, clean and comfortable for residents, staff and the public. | E | 2026-02-13 |
| 2024-12-18 | Health · complaint | F0609 | Timely report suspected abuse, neglect, or theft and report the results of the investigation to proper authorities. | D | 2025-01-28 |
| 2024-12-18 | Health · complaint | F0684 | Provide appropriate treatment and care according to orders, resident’s preferences and goals. | J | 2025-01-28 |
| 2024-10-10 | Health | F0550 | Honor the resident's right to a dignified existence, self-determination, communication, and to exercise his or her rights. | D | 2024-11-10 |
| 2024-10-10 | Health | F0655 | Create and put into place a plan for meeting the resident's most immediate needs within 48 hours of being admitted | D | 2024-11-10 |
| 2024-10-10 | Health · complaint | F0658 | Ensure services provided by the nursing facility meet professional standards of quality. | D | 2024-11-10 |
| 2024-10-10 | Health | F0848 | Provide a neutral and fair arbitration process and agree to arbitrator and venue. | E | 2024-11-10 |
| 2023-06-16 | Health | F0580 | Immediately tell the resident, the resident's doctor, and a family member of situations (injury/decline/room, etc.) that affect the resident. | D | 2023-07-26 |
| 2023-06-16 | Health | F0609 | Timely report suspected abuse, neglect, or theft and report the results of the investigation to proper authorities. | D | 2023-07-26 |
| 2023-06-16 | Health | F0679 | Provide activities to meet all resident's needs. | D | 2023-07-26 |
| 2023-06-16 | Health | F0688 | Provide appropriate care for a resident to maintain and/or improve range of motion (ROM), limited ROM and/or mobility, unless a decline is for a medical reason. | D | 2023-07-26 |
| 2023-06-16 | Health | F0740 | Ensure each resident must receive and the facility must provide necessary behavioral health care and services. | D | 2023-07-26 |
| 2023-06-16 | 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. | F | 2023-07-26 |
| 2023-06-16 | Health | F0812 | Procure food from sources approved or considered satisfactory and store, prepare, distribute and serve food in accordance with professional standards. | F | 2023-07-26 |
| 2023-06-16 | Health | F0880 | Provide and implement an infection prevention and control program. | F | 2023-07-26 |
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
29| Owner | Role | Pct | From | Status | Source |
|---|---|---|---|---|---|
| 306 E NIZHONI BLVD NM LLC | Individual has financial interest in both related organization and provider | 100% | 2024-09-01 | current | hcris_a_8_1 |
| 306 E NIZHONI BLVD NM LLC | Individual has financial interest in both related organization and provider | 100% | 2023-08-11 | current | hcris_a_8_1 |
| 306 E NIZHONI BLVD NM, LLC | ADP OF THE SNF | — | 2023-06-12 | current | pecos_ownership |
| ACER REALTY INVESTORS, LLC | ADP OF THE SNF | — | 2023-06-12 | current | pecos_ownership |
| CALISTO HOLDINGS LLC | INDIRECT OWNERSHIP INTEREST | — | 2023-06-12 | current | pecos_ownership |
| CONTINUUM REHAB GROUP LLC | ADP OF THE SNF | — | 2023-06-12 | current | pecos_ownership |
| FIRST SWEETZER HOLDINGS LLC | INDIRECT OWNERSHIP INTEREST | — | 2023-06-12 | current | pecos_ownership |
| GARETZ, DAVID | CORPORATE OFFICER | — | 2023-06-12 | current | pecos_ownership |
| GREENBERG, DAVID | ADP OF THE SNF | — | 2025-03-19 | current | pecos_ownership |
| GURWITZ, SOLOMON | INDIVIDUAL IS AN OWNER, PARTNER OR TRUSTEE OF ANY ADP OF THE SNF | — | 2025-07-18 | current | pecos_ownership |
| HAGINS, ELIZABETH | INDIVIDUAL IS AN OWNER, PARTNER OR TRUSTEE OF ANY ADP OF THE SNF | — | 2025-07-18 | current | pecos_ownership |
| HALLMARK ADVISORS, LLC | ADP OF THE SNF | — | 2023-06-12 | current | pecos_ownership |
| HANSEN HUNTER LLC | ADP OF THE SNF | — | 2025-07-18 | current | pecos_ownership |
| HATTERAS INVESTMENTS LLC | INDIRECT OWNERSHIP INTEREST | — | 2023-06-12 | current | pecos_ownership |
| ISAACSON, SHEENA | ADP OF THE SNF | — | 2024-04-22 | current | pecos_ownership |
| KAPLAN, ESTHER | INDIVIDUAL IS AN OWNER, PARTNER OR TRUSTEE OF ANY ADP OF THE SNF | — | 2025-07-18 | current | pecos_ownership |
| KAPLAN, MOSHA | INDIVIDUAL IS AN OWNER, PARTNER OR TRUSTEE OF ANY ADP OF THE SNF | — | 2025-07-18 | current | pecos_ownership |
| MINDLE, ADAM | INDIVIDUAL IS AN OWNER, PARTNER OR TRUSTEE OF ANY ADP OF THE SNF | — | 2025-07-18 | current | pecos_ownership |
| OPCO CA SKILLED MGMT INC. | ADP OF THE SNF | — | 2023-06-12 | current | pecos_ownership |
| OPCO NM SKILLED MGMT, LLC | ADP OF THE SNF | — | 2023-06-12 | current | pecos_ownership |
| STERNSHEIN, JENNIFER | INDIVIDUAL IS AN OWNER, PARTNER OR TRUSTEE OF ANY ADP OF THE SNF | — | 2025-04-07 | current | pecos_ownership |
| THE WRIGHT GROUP CONSULTING, LLC | ADP OF THE SNF | — | 2024-04-01 | current | pecos_ownership |
| UNGER, JEFFREY | INDIVIDUAL IS AN OWNER, PARTNER OR TRUSTEE OF ANY ADP OF THE SNF | — | 2025-07-18 | current | pecos_ownership |
| WALNUT SUMMER LLC | DIRECT OWNERSHIP INTEREST | — | 2023-06-12 | current | pecos_ownership |
| ZIMMERMAN, CAROLINE | INDIVIDUAL IS AN OWNER, PARTNER OR TRUSTEE OF ANY ADP OF THE SNF | — | 2025-04-07 | current | pecos_ownership |
| DAVID GARETZ | CORPORATE OFFICER | 0% | 2023-06-12 | ended 2026-05-18 | pecos_ownership |
| DAVID GREENBERG | ADP OF THE SNF | — | 2025-03-19 | ended 2026-05-18 | pecos_ownership |
| HANSEN HUNTER LLC | OPERATIONAL/MANAGERIAL CONTROL | — | 2024-04-01 | ended 2026-05-18 | pecos_ownership |
| SHEENA ISAACSON | ADP OF THE SNF | — | 2024-04-22 | 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
1| Close date | Price | Buyer | Seller | Evidence |
|---|---|---|---|---|
| 2023-08-11 | — | GALLUP NURSING & REHABILITATION LLC | PEAK MEDICAL GALLUP LLC | chow |
Comparable trades — NM snf
12| Close | Facility | Price | $/bed | Cap rate | Beds | Buyer |
|---|---|---|---|---|---|---|
| 2025-04-01 | Luna Wellness Rehabilitation LLC | — | — | — | 66 | LUNA WELLNESS & REHABILITATION LLC |
| 2024-11-01 | Manzano Del Sol by Purehealth | — | — | — | 117 | MM OPS ALBUQUERQUE LLC |
| 2024-11-01 | Socorro Wellness & Rehabilitation | — | — | — | 66 | SOCORRO WELLNESS & REHABILITATION LLC |
| 2024-11-01 | Grants Wellness & Rehabilitation LLC | — | — | — | 80 | GRANTS WELLNESS & REHABILITATION LLC |
| 2024-11-01 | Betty Dare Wellness & Rehabilitation LLC | — | — | — | 90 | BETTY DARE WELLNESS & REHABILITATION LLC |
| 2024-11-01 | Las Cruces Village Nursing & Rehabilitation LLC | — | — | — | 94 | LAS CRUCES VILLAGE NURSING & REHABILITATION LLC |
| 2024-05-01 | Las Cruces Wellness & Rehabilitation LLC | — | — | — | 75 | LAS CRUCES WELLNESS & REHABILITATION LLC |
| 2024-02-01 | Princeton Health & Rehabilitation | — | — | — | 369 | 369 ALBUQUERQUE OPS LLC |
| 2023-10-01 | Los Alamos Wellness & Rehabilitation | — | — | — | 66 | LOS ALAMOS WELLNESS & REHABILITATION LLC |
| 2023-08-24 | San Juan Care Center | — | — | — | 93 | SAN JUAN CARE CENTER LLC |
| 2023-08-11 | Gallup Nursing & Rehabilitation LLCthis facility | — | — | — | 62 | GALLUP NURSING & REHABILITATION LLC |
| 2023-07-01 | La Vida Buena Healthcare | — | — | — | 102 | LA VIDA BUENA HEALTHCARE 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
34| Geo | Kind | BR | Amount | As of | Source |
|---|---|---|---|---|---|
| county 35031 | acs median gross | 0 | $612 | 2024-12-31 | CENSUS_ACS5 |
| county 35031 | fmr | 0 | $752 | 2025-10-01 | HUD_USER_FMR |
| county 35031 | acs median gross | 1 | $724 | 2024-12-31 | CENSUS_ACS5 |
| county 35031 | fmr | 1 | $894 | 2025-10-01 | HUD_USER_FMR |
| county 35031 | acs median gross | 2 | $890 | 2024-12-31 | CENSUS_ACS5 |
| county 35031 | fmr | 2 | $1,090 | 2025-10-01 | HUD_USER_FMR |
| county 35031 | acs median gross | 3 | $1,014 | 2024-12-31 | CENSUS_ACS5 |
| county 35031 | fmr | 3 | $1,307 | 2025-10-01 | HUD_USER_FMR |
| county 35031 | acs median gross | 4 | $753 | 2024-12-31 | CENSUS_ACS5 |
| county 35031 | fmr | 4 | $1,443 | 2025-10-01 | HUD_USER_FMR |
| county 35031 | acs median gross | 5 | $1,000 | 2024-12-31 | CENSUS_ACS5 |
| county 35031 | acs median gross | $859 | 2024-12-31 | CENSUS_ACS5 | |
| county 35031 | acs recent mover gross | $996 | 2024-12-31 | CENSUS_ACS5 | |
| zcta 87301 | acs median gross | 0 | $611 | 2024-12-31 | CENSUS_ACS5 |
| zcta 87301 | acs median gross | 1 | $735 | 2024-12-31 | CENSUS_ACS5 |
| zcta 87301 | acs median gross | 2 | $942 | 2024-12-31 | CENSUS_ACS5 |
| zcta 87301 | acs median gross | 3 | $1,347 | 2024-12-31 | CENSUS_ACS5 |
| zcta 87301 | acs median gross | $930 | 2024-12-31 | CENSUS_ACS5 | |
| zcta 87301 | acs recent mover gross | $1,085 | 2024-12-31 | CENSUS_ACS5 | |
| zip 87301 | payment standard 110 | 0 | $847 | 2025-10-01 | HUD_USER_SAFMR |
| zip 87301 | payment standard 90 | 0 | $693 | 2025-10-01 | HUD_USER_SAFMR |
| zip 87301 | safmr | 0 | $770 | 2025-10-01 | HUD_USER_SAFMR |
| zip 87301 | payment standard 110 | 1 | $1,001 | 2025-10-01 | HUD_USER_SAFMR |
| zip 87301 | payment standard 90 | 1 | $819 | 2025-10-01 | HUD_USER_SAFMR |
| zip 87301 | safmr | 1 | $910 | 2025-10-01 | HUD_USER_SAFMR |
| zip 87301 | payment standard 110 | 2 | $1,221 | 2025-10-01 | HUD_USER_SAFMR |
| zip 87301 | payment standard 90 | 2 | $999 | 2025-10-01 | HUD_USER_SAFMR |
| zip 87301 | safmr | 2 | $1,110 | 2025-10-01 | HUD_USER_SAFMR |
| zip 87301 | payment standard 110 | 3 | $1,463 | 2025-10-01 | HUD_USER_SAFMR |
| zip 87301 | payment standard 90 | 3 | $1,197 | 2025-10-01 | HUD_USER_SAFMR |
| zip 87301 | safmr | 3 | $1,330 | 2025-10-01 | HUD_USER_SAFMR |
| zip 87301 | payment standard 110 | 4 | $1,617 | 2025-10-01 | HUD_USER_SAFMR |
| zip 87301 | payment standard 90 | 4 | $1,323 | 2025-10-01 | HUD_USER_SAFMR |
| zip 87301 | safmr | 4 | $1,470 | 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.