Local letter and parcel delivery services as part of intercity courier network · California

Universal Mail Delivery Systems

San Fernando, CA · ~24 workers · 5 years of OSHA Injury Tracking Application data.

A
Excellent Safety Record
0.9
Avg TCR
6.5
Industry avg
0
Fatalities
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The verdict

Universal Mail Delivery Systems runs at 14% of its industry's injury rate - far safer than the typical Local letter and parcel delivery services as part of intercity courier network workplace, earning a grade A.

Universal Mail Delivery Systems: 0.9 TCR = 14% of Local letter and parcel delivery services as part of intercity courier network BLS 6.5 · 5y Form 300A (see methodology below)

Universal Mail Delivery Systems safety composite

Universal Mail Delivery Systems scores strongest on total case rate (tcr) (safer than 98% 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).

B

83/100

Percentile-weighted across 3 of 3 measures

Total Case Rate (TCR)
A 0.89 per 100 workers

Safer than 98% of industry peers

DART rate
B 0.04 per 100 workers

Safer than 89% 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%).

Universal Mail Delivery Systems held a steady TCR band

Universal Mail Delivery Systems's TCR held near 0.0 from 0.1 in 2019 to 0.0 in 2023. Peak filing year was 2022 at 4.3 TCR. In 2023, DART was 0.04× this establishment's average TCR (severity share of cases).

2019=0.1 · 2020=0.0 · 2021=0.0 · 2022=4.3 · 2023=0.0

OSHA ITA Form 300A scorecard

Establishment book 492110 · San Fernando, CA AT/BELOW-IND · SMALL

Grade A · TCR 0.9 · 14% of ind

  • DART 0.0 DART
  • RANK #8/710
  • PHOTO UPS NATIONAL TURNPIK…
  • BOOK 5y book
  • INJ 4 inj
  • SIZE ~24 FTE

Nearest TCR peer: UPS NATIONAL TURNPIKE (KYNAT) (0.0 TCR gap)

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Universal Mail Delivery Systems in the TCR neighbourhood

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

TCR

What this shows Universal Mail Delivery Systems averages 0.9 TCR (14% of the Local letter and parcel delivery services as part of intercity courier network BLS benchmark).

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

Universal Mail Delivery Systems TCR series: 2019=0.1 · 2020=0 · 2021=0 · 2022=4.3 · 2023=0 · BLS 6.5

Where Universal Mail Delivery Systems falls in its industry

6,679 Local letter and parcel delive establishments

Safer than 98% of graded establishments in this industry, whose median TCR is 8.0.

More dangerous than peersSafer than peers

Narrower to California alone (the establishments it most directly competes with for workers and contracts): ranked #8 safest of 710 Local letter and parcel delive employers in California.

Universal Mail Delivery Systems (24 employees, TCR 0.9) among 29 same-industry peers, split at the industry median of 113 employees and a TCR of 8.0 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 01,0002,0003,0004,000 0102030 Average employees Total Case Rate Universal Mail Delivery Systems
Universal Mail Delivery Systems (24 employees, TCR 0.9) among 29 same-industry peers, split at the industry median of 113 employees and a TCR of 8.0

Universal Mail Delivery Systems has fewer employees than the Local letter and parcel delivery service median and a lower injury rate than the industry's median TCR of 8.0. 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
2023 0.0 0.0 1 0 0
2022 4.3 4.3 1 0 0
2021 0.0 0.0 1 0 0
2020 0.0 0.0 0 0 0
2019 0.1 0.0 1 0 0

OSHA ITA peer cross-reference

Establishment peer ledger

492110 · CA · San Fernando

6,679 Local letter and parcel delivery services as part of intercity courier network employers nationwide with a credible TCR · 51,834 rated employers in California with headcount on file · 48 employers in San Fernando, CA · 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 UPS NATIONAL TURNPIKE (KYNAT) 0.9 TCR
NAICS-TCR Qualitative Strategies 0.9 TCR
NAICS-TCR Kru's Delivery Services Inc 0.9 TCR
NAICS-TCR Orlando Remote 0.9 TCR
STATE-SIZE Agro-Jal Farming Enterprises 24 FTE
STATE-SIZE MTD Farms 24 FTE
STATE-SIZE Marc Pura Ranch, LLC 24 FTE
STATE-SIZE Costa Farms 24 FTE
CITY-NEAR Pharmavite, LLC 369 FTE
CITY-NEAR Bernards 344 FTE
CITY-NEAR Pharmavite - San Fernando 334 FTE
CITY-NEAR Bernards Bros 323 FTE
NAT-TCR Chesapeake Containment Systems, Inc. 0.9 TCR
NAT-TCR Electrical Engineering and Equipment Co (Pc4426) 0.9 TCR
NAT-TCR Delta Sheet Metal 0.9 TCR
NAT-TCR Cal-Maine Foods Inc. 0.9 TCR
NAT-SIZE Ivey Industries Inc 24 FTE
NAT-SIZE J&S Chemical Corporation 24 FTE
NAT-SIZE Courtyard Topeka 24 FTE
NAT-SIZE Jendro Sanitation, Inc 24 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: 2023, 2022, 2021, 2020, 2019. This is publicly available government data - not a legal determination of workplace conditions.
Data sourced from official public datasets. See our methodology for details.