Machinery and equipment, large-scale, installation · Mississippi

Cross Technologies Inc Nissan Canton

Canton, MS · ~28 workers · 4 years of OSHA Injury Tracking Application data.

C
Average Safety Record
2.7
Avg TCR
2.8
Industry avg
0
Fatalities
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The verdict

Cross Technologies Inc Nissan Canton runs at 96% of its industry's injury rate - about level with the typical Machinery and equipment, large-scale, installation workplace, earning a grade C.

Cross Technologies Inc Nissan Canton: 2.7 TCR = 96% of Machinery and equipment, large-scale, installation BLS 2.8 · 4y Form 300A (see methodology below)

Cross Technologies Inc Nissan Canton safety composite

Cross Technologies Inc Nissan Canton scores strongest on fatalities (safer than 51% of same-industry peers) and weakest on dart rate (safer than 15%), 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

32/100

Percentile-weighted across 3 of 3 measures

Total Case Rate (TCR)
D 2.7 per 100 workers

Safer than 36% of industry peers

DART rate
F 3.83 per 100 workers

Safer than 15% 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

−3.1

2021→2024

Cross Technologies Inc Nissan Canton injury rate improved

Cross Technologies Inc Nissan Canton's TCR fell 3.1 from 7.0 in 2021 to 3.8 in 2024. Peak filing year was 2021 at 7.0 TCR. In 2024, DART was 1.42× this establishment's average TCR (severity share of cases).

2021=7.0 · 2022=0.0 · 2023=0.0 · 2024=3.8

OSHA ITA Form 300A scorecard

Establishment book 238290 · Canton, MS AT/BELOW-IND · SMALL

Grade C · TCR 2.7 · 96% of ind

  • DART 3.8 DART
  • RANK #5/8
  • PHOTO Overhead Door Compan…
  • BOOK 4y book
  • INJ 3 inj
  • SIZE ~28 FTE

Nearest TCR peer: Overhead Door Company of Albuquerque (0.0 TCR gap)

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

Cross Technologies Inc Nissan Canton in the TCR neighbourhood

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

TCR

What this shows Cross Technologies Inc Nissan Canton averages 2.7 TCR (96% of the Machinery and equipment, large-scale, installation BLS benchmark).

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

Cross Technologies Inc Nissan Canton TCR series: 2021=7 · 2022=0 · 2023=0 · 2024=3.8 · BLS 2.8

Where Cross Technologies Inc Nissan Canton falls in its industry

1,138 Machinery and equipment, large establishments

Safer than 36% of graded establishments in this industry, whose median TCR is 2.0.

More dangerous than peersSafer than peers

Narrower to Mississippi alone (the establishments it most directly competes with for workers and contracts): ranked #5 safest of 8 Machinery and equipment, large employers in Mississippi.

Cross Technologies Inc Nissan Canton (28 employees, TCR 2.7) among 29 same-industry peers, split at the industry median of 52 employees and a TCR of 2.0 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 051015 Average employees Total Case Rate Cross Technologies Inc Nissan Canton
Cross Technologies Inc Nissan Canton (28 employees, TCR 2.7) among 29 same-industry peers, split at the industry median of 52 employees and a TCR of 2.0

Cross Technologies Inc Nissan Canton has fewer employees than the Machinery and equipment, large-scale, in median and a higher injury rate than the industry's median TCR of 2.0. 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 3.8 3.8 1 0 0
2023 0.0 0.0 0 0 0
2022 0.0 0.0 0 0 0
2021 7.0 3.5 2 0 0

OSHA ITA peer cross-reference

Establishment peer ledger

238290 · MS · Canton

1,138 Machinery and equipment, large-scale, installation employers nationwide with a credible TCR · 4,083 rated employers in Mississippi with headcount on file · 38 employers in Canton, MS · 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 Overhead Door Company of Albuquerque 2.7 TCR
NAICS-TCR TK Elevator Omaha 2.7 TCR
NAICS-TCR Headquarters 2.7 TCR
NAICS-TCR 520-Naples 2.7 TCR
STATE-SIZE Hi Grade Gin Corporation 28 FTE
STATE-SIZE Attala Power Plant 28 FTE
STATE-SIZE Pascagoula Service Center 28 FTE
STATE-SIZE Master Craft Builders, Inc. 28 FTE
CITY-NEAR Canton Vehicle Assembly 4,703 FTE
CITY-NEAR Amazon.com Services LLC - JAN1 2,034 FTE
CITY-NEAR Peco Foods- Fulton Canton Ms 890 FTE
CITY-NEAR Canton Distribution Center 376 FTE
NAT-TCR 8020236 Energizer Asheboro 2.7 TCR
NAT-TCR RHDD - Athens 2.7 TCR
NAT-TCR Tarrytown Hall Care Center 2.7 TCR
NAT-TCR Johnson March Systems, Inc. 2.7 TCR
NAT-SIZE Iowa Sports Turf 28 FTE
NAT-SIZE 8027506 Mars Fishcare Chalfront PA 28 FTE
NAT-SIZE Rochester, NY - 150 FedEx Way 28 FTE
NAT-SIZE Burlington, NJ - 600 Richards Run 28 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. This is publicly available government data - not a legal determination of workplace conditions.
Data sourced from official public datasets. See our methodology for details.