Shelters, temporary (e.g., battered women's, homeless, runaway youth) · Texas

UMLaEsperanza960

Brownsville, TX · ~129 workers · 8 years of OSHA Injury Tracking Application data.

C
Average Safety Record
3.6
Avg TCR
3.8
Industry avg
0
Fatalities
Subscribe to safety-record updates (RSS)

The verdict

UMLaEsperanza960 runs at 94% of its industry's injury rate - about level with the typical Shelters, temporary (e.g., battered women's, homeless, runaway youth) workplace, earning a grade C.

UMLaEsperanza960: 3.6 TCR = 94% of Shelters, temporary (e.g., battered women's, homeless, runaway youth) BLS 3.8 · 8y Form 300A (see methodology below)

UMLaEsperanza960 safety composite

UMLaEsperanza960 scores strongest on total case rate (tcr) (safer than 57% of same-industry peers) and weakest on fatalities (safer than 51%), blended into one 0-100 breakdown against same-industry peers. A missing measure drops out and redistributes its weight rather than deflating the score. This is a per-dimension breakdown, distinct from the single letter grade above it (which weights TCR alone against the BLS industry benchmark).

C

56/100

Percentile-weighted across 3 of 3 measures

Total Case Rate (TCR)
C 3.57 per 100 workers

Safer than 57% of industry peers

DART rate
C 1.51 per 100 workers

Safer than 57% of industry peers

Fatalities
D 0

Safer than 51% of industry peers

Benchmarked live against every credibly-rated employer in the same NAICS industry code in the current OSHA extract (a segment must have at least 8 rated peers to benchmark). Not a legal or compliance determination; PlainSafetyScore's own weighting (TCR 40%, DART 35%, fatalities 25%).

TCR Δ

−3.4

2017→2024

UMLaEsperanza960 injury rate improved

UMLaEsperanza960's TCR fell 3.4 from 5.0 in 2017 to 1.5 in 2024. Peak filing year was 2023 at 6.4 TCR. In 2024, DART was 0.42× this establishment's average TCR (severity share of cases).

2017=5.0 · 2018=4.0 · 2019=3.1 · 2020=0.9 · 2021=5.4 · 2022=2.3 · 2023=6.4 · 2024=1.5

OSHA ITA Form 300A scorecard

Establishment book 624221 · Brownsville, TX AT/BELOW-IND · MID

Grade C · TCR 3.6 · 94% of ind

  • DART 1.5 DART
  • RANK #9/30
  • PHOTO UMCombes956
  • BOOK 8y book
  • INJ 30 inj
  • SIZE ~129 FTE

Nearest TCR peer: UMCombes956 (0.0 TCR gap)

Read with this employer → · Industry book → · Texas employers → · Look up another →

UMLaEsperanza960 in the TCR neighbourhood

Average Total Case Rate among this establishment and nearest same-industry peers

TCR

What this shows UMLaEsperanza960 averages 3.6 TCR (94% of the Shelters, temporary (e.g., battered women's, homeless, runaway youth) BLS benchmark).

Source U.S. Department of Labor, OSHA Injury Tracking Application (Form 300A) As of 2026-08-25

UMLaEsperanza960 TCR series: 2017=5 · 2018=4 · 2019=3.1 · 2020=0.9 · 2021=5.4 · 2022=2.3 · 2023=6.4 · 2024=1.5 · BLS 3.8

Where UMLaEsperanza960 falls in its industry

200 Shelters, temporary (e.g., bat establishments

Safer than 57% of graded establishments in this industry, whose median TCR is 4.0.

More dangerous than peersSafer than peers

Narrower to Texas alone (the establishments it most directly competes with for workers and contracts): ranked #9 safest of 30 Shelters, temporary (e.g., bat employers in Texas.

UMLaEsperanza960 (129 employees, TCR 3.6) among 29 same-industry peers, split at the industry median of 90 employees and a TCR of 4.0 2×2 strategic matrix plotting 30 entities by Average employees (X) and Total Case Rate (Y), with a crosshair dividing the plot into four quadrants. Larger & higher-riskSmaller & higher-riskLarger & saferSmaller & safer than peers 05001,0001,500 010203040 Average employees Total Case Rate UMLaEsperanza960
UMLaEsperanza960 (129 employees, TCR 3.6) among 29 same-industry peers, split at the industry median of 90 employees and a TCR of 4.0

UMLaEsperanza960 has more employees than the Shelters, temporary (e.g., battered wome median and a lower injury rate than the industry's median TCR of 4.0. Workforce size and injury rate do not always move together within the same industry -- some of its smaller peers run higher rates than its larger ones, and vice versa.

Year-by-Year Safety Data

Year TCR DART Injuries Illnesses Fatalities
2024 1.5 1.5 2 0 0
2023 6.4 4.3 3 0 0
2022 2.3 2.3 3 0 0
2021 5.4 5.4 6 0 0
2020 0.9 0.9 1 0 0
2019 3.1 3.1 4 0 0
2018 4.0 4.0 6 0 0
2017 5.0 5.0 5 0 0

OSHA ITA peer cross-reference

Establishment peer ledger

624221 · TX · Brownsville

200 Shelters, temporary (e.g., battered women's, homeless, runaway youth) employers nationwide with a credible TCR · 38,394 rated employers in Texas with headcount on file · 155 employers in Brownsville, TX · 4 cross-state NAT-TCR peers · 4 cross-state NAT-SIZE peers. Closest matches by relationship code are listed below.

Rel Establishment Metric
NAICS-TCR UMCombes956 3.6 TCR
NAICS-TCR UMCasaFranklin931 3.5 TCR
NAICS-TCR UM - El Cajon 3.6 TCR
NAICS-TCR 6146-61462000-4589 3.5 TCR
STATE-SIZE Petro Mechanical and Supply, LLC 129 FTE
STATE-SIZE Houston Center of Excellence - Bld: TXHS - 53 129 FTE
STATE-SIZE Brownstone Construction 129 FTE
STATE-SIZE Taylor Morrison Dallas Division 129 FTE
CITY-NEAR Brownsville, TX 2,161 FTE
CITY-NEAR 4701-769 802 FTE
CITY-NEAR HCA Valley Regional Medical Center 764 FTE
CITY-NEAR Valley Regional Medical Center 759 FTE
NAT-TCR Central Wisconsin Woodworking Corporation 3.6 TCR
NAT-TCR Peoria Lab 3.6 TCR
NAT-TCR Shelton, WA 3.6 TCR
NAT-TCR Flowers Baking Co Of Henderson 3.6 TCR
NAT-SIZE EDGEhomes 129 FTE
NAT-SIZE Stanton 129 FTE
NAT-SIZE Vista Park Health and Rehabilitation 129 FTE
NAT-SIZE Falls Run Nursing & Rehab. 129 FTE

Rel codes: NAICS-TCR · STATE-SIZE · CITY-NEAR · NAT-TCR/NAT-SIZE cross-state. Read with this employer →

Data Source: OSHA Injury Tracking Application (ITA), mandatory establishment-level injury/illness reports. Grades compare employer Total Case Rate (TCR) to BLS IIF industry benchmarks. Data covers years reported by this establishment: 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017. This is publicly available government data - not a legal determination of workplace conditions.
Data sourced from official public datasets. See our methodology for details.