Unmanned and robotic automobiles manufacturing · Illinois

Dakkota Integrated Systems

Chicago, IL · ~567 workers · 3 years of OSHA Injury Tracking Application data.

A
Excellent Safety Record
1.3
Avg TCR
3.3
Industry avg
0
Fatalities
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The verdict

Dakkota Integrated Systems runs at 39% of its industry's injury rate - far safer than the typical Unmanned and robotic automobiles manufacturing workplace, earning a grade A.

Dakkota Integrated Systems: 1.3 TCR = 39% of Unmanned and robotic automobiles manufacturing BLS 3.3 · 3y Form 300A (see methodology below)

Dakkota Integrated Systems safety composite

Dakkota Integrated Systems scores strongest on total case rate (tcr) (safer than 85% of same-industry peers) and weakest on fatalities (safer than 58%), 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

71/100

Percentile-weighted across 3 of 3 measures

Total Case Rate (TCR)
B 1.29 per 100 workers

Safer than 85% of industry peers

DART rate
C 0.92 per 100 workers

Safer than 65% of industry peers

Fatalities
C 0

Safer than 58% 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

−0.7

2022→2024

Dakkota Integrated Systems injury rate improved

Dakkota Integrated Systems's TCR fell 0.7 from 1.6 in 2022 to 0.9 in 2024. Peak filing year was 2022 at 1.6 TCR. In 2024, DART was 0.71× this establishment's average TCR (severity share of cases).

2022=1.6 · 2023=1.4 · 2024=0.9

OSHA ITA Form 300A scorecard

Establishment book 336110 · Chicago, IL AT/BELOW-IND · MID

Grade A · TCR 1.3 · 39% of ind

  • DART 0.9 DART
  • RANK P85
  • PHOTO NA-US-CA-Fremont-474…
  • BOOK 3y book
  • INJ 21 inj
  • SIZE ~567 FTE

Nearest TCR peer: NA-US-CA-Fremont-47400 Kato Road (0.6 TCR gap)

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

Dakkota Integrated Systems in the TCR neighbourhood

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

TCR

What this shows Dakkota Integrated Systems averages 1.3 TCR (39% of the Unmanned and robotic automobiles manufacturing BLS benchmark).

Source U.S. Department of Labor, OSHA Injury Tracking Application (Form 300A) As of 2026-09-26

Dakkota Integrated Systems TCR series: 2022=1.6 · 2023=1.4 · 2024=0.9 · BLS 3.3

Where Dakkota Integrated Systems falls in its industry

13 Unmanned and robotic automobil establishments

Safer than 85% of graded establishments in this industry, whose median TCR is 4.1.

More dangerous than peersSafer than peers
Dakkota Integrated Systems (567 employees, TCR 1.3) among 10 same-industry peers, split at the industry median of 567 employees and a TCR of 4.1 2×2 strategic matrix plotting 11 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 05,00010,00015,00020,00025,000 051015 Average employees Total Case Rate NA-US-TX-Austin-Giga TexasGLOVIS SHPorsche Cars North AmericaMOBIS North America, LLCWarren Truck Assembly PlantNA-US-CA-Fremont-44320-44350 Nobel DrGLOVIS AMERICA WPNA-US-CA-Fremont-47400 Kato RoadNA-US-CA-Fremont-45500 Fremont BlvdGLOVIS AMERICA HUDakkota Integrated Systems
Dakkota Integrated Systems (567 employees, TCR 1.3) among 10 same-industry peers, split at the industry median of 567 employees and a TCR of 4.1

Dakkota Integrated Systems has more employees than the Unmanned and robotic automobiles manufac median and a lower injury rate than the industry's median TCR of 4.1. 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 0.9 0.9 5 0 0
2023 1.4 1.4 6 0 0
2022 1.6 1.6 10 0 0

OSHA ITA peer cross-reference

Establishment peer ledger

336110 · IL · Chicago

13 Unmanned and robotic automobiles manufacturing employers nationwide with a credible TCR · 22,804 rated employers in Illinois with headcount on file · 2,934 employers in Chicago, IL · 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 NA-US-CA-Fremont-47400 Kato Road 1.9 TCR
NAICS-TCR Warren Truck Assembly Plant 1.9 TCR
NAICS-TCR Hyundai Motor Group Metaplant America 2.3 TCR
NAICS-TCR Porsche Cars North America 0.2 TCR
STATE-SIZE 1953-1171 567 FTE
STATE-SIZE 48130009-FREEMAN EXPO CHICAGO MIDWEST 567 FTE
STATE-SIZE 1855-ILARL012 566 FTE
STATE-SIZE SMD-DECATUR-1 HSHS ST MARY S HOSPITAL 566 FTE
CITY-NEAR Chicago Public Schools 49,500 FTE
CITY-NEAR Chicago/Corporate 18,831 FTE
CITY-NEAR University of Illinois at Chicago 13,092 FTE
CITY-NEAR University Health Service UIC UIC Campus 12,732 FTE
NAT-TCR NWH, Ridgway 1.3 TCR
NAT-TCR S11003 - Azusa MRF 1.3 TCR
NAT-TCR S10284 - Albany Hauling 1.3 TCR
NAT-TCR American Weldquip, LLC 1.3 TCR
NAT-SIZE Honolulu Board of Water Supply 567 FTE
NAT-SIZE Metropolitan Edison Company 567 FTE
NAT-SIZE Strive Health 567 FTE
NAT-SIZE City of Redlands 567 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. This is publicly available government data - not a legal determination of workplace conditions.

Read our methodology - how this data is sourced, computed, and verified.

Data sourced from official public datasets. See our methodology for details.