Sheet metal forming machines manufacturing · California

American International Manufacturing Co, Inc

Woodland, CA · ~30 workers · 4 years of OSHA Injury Tracking Application data.

F
Failing Safety Record
7.0
Avg TCR
3.3
Industry avg
0
Fatalities
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The verdict

American International Manufacturing Co, Inc runs at 211% of its industry's injury rate - far more dangerous than the typical Sheet metal forming machines manufacturing workplace, earning a grade F.

American International Manufacturing Co, Inc: 7.0 TCR = 211% of Sheet metal forming machines manufacturing BLS 3.3 · 4y Form 300A (see methodology below)

American International Manufacturing Co, Inc safety composite

American International Manufacturing Co, Inc scores strongest on dart rate (safer than 75% of same-industry peers) and weakest on total case rate (tcr) (safer than 18%), 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).

D

46/100

Percentile-weighted across 3 of 3 measures

Total Case Rate (TCR)
F 6.96 per 100 workers

Safer than 18% of industry peers

DART rate
B 0 per 100 workers

Safer than 75% 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

−17.6

2019→2024

American International Manufacturing Co, Inc injury rate improved

American International Manufacturing Co, Inc's TCR fell 17.6 from 17.6 in 2019 to 0.0 in 2024. Peak filing year was 2019 at 17.6 TCR. In 2024, DART was 0× this establishment's average TCR (severity share of cases).

2019=17.6 · 2021=0.0 · 2022=10.3 · 2024=0.0

OSHA ITA Form 300A scorecard

Establishment book 333517 · Woodland, CA ABOVE-IND · SMALL

Grade F · TCR 7.0 · 211% of ind

  • DART 0.0 DART
  • RANK #12/14
  • PHOTO EIT Lansing Olds
  • BOOK 4y book
  • INJ 8 inj
  • SIZE ~30 FTE

Nearest TCR peer: EIT Lansing Olds (0.0 TCR gap)

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

American International Manufacturing Co, Inc in the TCR neighbourhood

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

TCR

What this shows American International Manufacturing Co, Inc averages 7.0 TCR (211% of the Sheet metal forming machines manufacturing BLS benchmark).

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

American International Manufacturing Co, Inc TCR series: 2019=17.6 · 2021=0 · 2022=10.3 · 2024=0 · BLS 3.3

Where American International Manufacturing Co, Inc falls in its industry

391 Sheet metal forming machines m establishments

Safer than 18% of graded establishments in this industry, whose median TCR is 3.4.

More dangerous than peersSafer than peers

Narrower to California alone (the establishments it most directly competes with for workers and contracts): ranked #12 safest of 14 Sheet metal forming machines m employers in California.

American International Manufacturing Co, Inc (30 employees, TCR 7.0) among 29 same-industry peers, split at the industry median of 55 employees and a TCR of 3.4 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 0100200300 051015 Average employees Total Case Rate American International Manufacturing Co, Inc
American International Manufacturing Co, Inc (30 employees, TCR 7.0) among 29 same-industry peers, split at the industry median of 55 employees and a TCR of 3.4

American International Manufacturing Co, Inc has fewer employees than the Sheet metal forming machines manufacturi median and a higher injury rate than the industry's median TCR of 3.4. 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 0.0 0.0 0 0 0
2022 10.3 6.9 3 0 0
2021 0.0 0.0 0 0 0
2019 17.6 14.6 5 1 0

OSHA ITA peer cross-reference

Establishment peer ledger

333517 · CA · Woodland

391 Sheet metal forming machines manufacturing employers nationwide with a credible TCR · 51,834 rated employers in California with headcount on file · 172 employers in Woodland, 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 EIT Lansing Olds 6.9 TCR
NAICS-TCR Bitterroot Tool & Machine LLC 7.0 TCR
NAICS-TCR Felss Rotaform LLC 6.8 TCR
NAICS-TCR Ohio Tool Works LLC 6.8 TCR
STATE-SIZE BZNUR 30 FTE
STATE-SIZE 1780 San Juan Rd. 30 FTE
STATE-SIZE Charter Oaks 30 FTE
STATE-SIZE Greenfields Turf, Inc. 30 FTE
CITY-NEAR California Department of Transportation Facility 800 2,413 FTE
CITY-NEAR 0555 - Woodland CA DC 1,759 FTE
CITY-NEAR 0555 - Sacramento DC 1,196 FTE
CITY-NEAR 6403-64030173 820 FTE
NAT-TCR William Kelley Elementary 7.0 TCR
NAT-TCR Colmac Industries, Inc. 7.0 TCR
NAT-TCR Center for Rehab Medicine - EHC 7.0 TCR
NAT-TCR Cresco Labs - Fall River 7.0 TCR
NAT-SIZE Empire Truck Sales - Monroe 30 FTE
NAT-SIZE Pumpman - NYC 30 FTE
NAT-SIZE Mosaic Ellsworth 30 FTE
NAT-SIZE Robinson Construction, Inc. 30 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, 2022, 2021, 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.