Industrial caterers (i.e., providing food services on a contractural arrangement (except single-event basis)) · California

IGF CT Mess Attendant Services

Twentynine Palms, CA · ~56 workers · 2 years of OSHA Injury Tracking Application data.

D
Poor Safety Record
5.9
Avg TCR
3.0
Industry avg
0
Fatalities
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The verdict

IGF CT Mess Attendant Services runs at 196% of its industry's injury rate - more dangerous than the typical Industrial caterers (i.e., providing food services on a contractural arrangement (except single-event basis)) workplace, earning a grade D.

IGF CT Mess Attendant Services: 5.9 TCR = 196% of Industrial caterers (i.e., providing food services on a contractural arrangement (except single-event basis)) BLS 3.0 · 2y Form 300A (see methodology below)

IGF CT Mess Attendant Services safety composite

IGF CT Mess Attendant Services scores strongest on fatalities (safer than 50% of same-industry peers) and weakest on total case rate (tcr) (safer than 26%), 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).

F

34/100

Percentile-weighted across 3 of 3 measures

Total Case Rate (TCR)
F 5.88 per 100 workers

Safer than 26% of industry peers

DART rate
F 2.3 per 100 workers

Safer than 33% of industry peers

Fatalities
D 0

Safer than 50% 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

−2.5

2016→2017

IGF CT Mess Attendant Services injury rate improved

IGF CT Mess Attendant Services's TCR fell 2.5 from 7.1 in 2016 to 4.6 in 2017. Peak filing year was 2016 at 7.1 TCR. In 2017, DART was 0.39× this establishment's average TCR (severity share of cases).

2016=7.1 · 2017=4.6

OSHA ITA Form 300A scorecard

Establishment book 722310 · Twentynine Palms, CA ABOVE-IND · SMALL

Grade D · TCR 5.9 · 196% of ind

  • DART 2.3 DART
  • RANK #360/586
  • PHOTO 4021-500082900
  • BOOK 2y book
  • INJ 5 inj
  • SIZE ~56 FTE

Nearest TCR peer: 4021-500082900 (0.0 TCR gap)

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IGF CT Mess Attendant Services in the TCR neighbourhood

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

TCR

What this shows IGF CT Mess Attendant Services averages 5.9 TCR (196% of the Industrial caterers (i.e., providing food services on a contractural arrangement (except single-event basis)) BLS benchmark).

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

IGF CT Mess Attendant Services TCR series: 2016=7.1 · 2017=4.6 · BLS 3.0

Where IGF CT Mess Attendant Services falls in its industry

6,952 Industrial caterers (i.e., pro establishments

Safer than 26% of graded establishments in this industry, whose median TCR is 3.5.

More dangerous than peersSafer than peers

Narrower to California alone (the establishments it most directly competes with for workers and contracts): ranked #360 safest of 586 Industrial caterers (i.e., pro employers in California.

IGF CT Mess Attendant Services (56 employees, TCR 5.9) among 29 same-industry peers, split at the industry median of 43 employees and a TCR of 3.5 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 0200400600800 051015 Average employees Total Case Rate IGF CT Mess Attendant Services
IGF CT Mess Attendant Services (56 employees, TCR 5.9) among 29 same-industry peers, split at the industry median of 43 employees and a TCR of 3.5

IGF CT Mess Attendant Services has more employees than the Industrial caterers (i.e., providing foo median and a higher injury rate than the industry's median TCR of 3.5. 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
2017 4.6 2.3 2 0 0
2016 7.1 7.1 3 0 0

OSHA ITA peer cross-reference

Establishment peer ledger

722310 · CA · Twentynine Palms

6,952 Industrial caterers (i.e., providing food services on a contractural arrangement (except single-event basis)) employers nationwide with a credible TCR · 51,834 rated employers in California with headcount on file · 9 employers in Twentynine Palms, 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 4021-500082900 5.9 TCR
NAICS-TCR EU BEV & RETAIL 5.9 TCR
NAICS-TCR Legends - FivePoint 5.9 TCR
NAICS-TCR SODEXO AT SHARP MEMORIAL HOSPITAL 5.9 TCR
STATE-SIZE Wallace Brothers 56 FTE
STATE-SIZE New Sun Farms, Inc 56 FTE
STATE-SIZE 1624 Poole Blvd., Yuba City, CA 95993 56 FTE
STATE-SIZE Copperhill 56 FTE
CITY-NEAR Tortoise Rock Casino 155 FTE
CITY-NEAR SODEXO AT USMC-W MH 1660 52 FTE
CITY-NEAR SODEXO AT USMC-W MH 1880 43 FTE
CITY-NEAR SODEXO AT USMC W MH 1460 26 FTE
NAT-TCR Appolo Heating 5.9 TCR
NAT-TCR TriMet Center Street Operations Headquarters 5.9 TCR
NAT-TCR NSK19 - North Sky - Olympia 5.9 TCR
NAT-TCR Freeport McMoRan Refinery 5.9 TCR
NAT-SIZE Maryland Parkway 56 FTE
NAT-SIZE ADS Buena Vista 56 FTE
NAT-SIZE 44974 - Carolina Service Center 56 FTE
NAT-SIZE Ross store 1799 56 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: 2017, 2016. This is publicly available government data - not a legal determination of workplace conditions.
Data sourced from official public datasets. See our methodology for details.