Bags and bagging fabrics made in warp or weft knitting mills · Pennsylvania

JetNet Corporation

Sewickley, PA · ~55 workers · 9 years of OSHA Injury Tracking Application data.

D
Poor Safety Record
4.8
Avg TCR
3.3
Industry avg
0
Fatalities
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The verdict

JetNet Corporation runs at 147% of its industry's injury rate - more dangerous than the typical Bags and bagging fabrics made in warp or weft knitting mills workplace, earning a grade D.

JetNet Corporation: 4.8 TCR = 147% of Bags and bagging fabrics made in warp or weft knitting mills BLS 3.3 · 9y Form 300A (see methodology below)

JetNet Corporation safety composite

JetNet Corporation scores strongest on fatalities (safer than 50% of same-industry peers) and weakest on dart rate (safer than 27%), 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

35/100

Percentile-weighted across 3 of 3 measures

Total Case Rate (TCR)
F 4.84 per 100 workers

Safer than 32% of industry peers

DART rate
F 2.67 per 100 workers

Safer than 27% 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

−7.0

2016→2024

JetNet Corporation injury rate improved

JetNet Corporation's TCR fell 7.0 from 9.7 in 2016 to 2.7 in 2024. Peak filing year was 2016 at 9.7 TCR. In 2024, DART was 0.55× this establishment's average TCR (severity share of cases).

2016=9.7 · 2017=1.8 · 2018=9.4 · 2019=3.8 · 2020=2.1 · 2021=6.8 · 2022=2.4 · 2023=4.9 · 2024=2.7

OSHA ITA Form 300A scorecard

Establishment book 313240 · Sewickley, PA ABOVE-IND · SMALL

Grade D · TCR 4.8 · 147% of ind

  • DART 2.7 DART
  • RANK #5/7
  • PHOTO Darligton Fabrics A …
  • BOOK 9y book
  • INJ 21 inj
  • SIZE ~55 FTE

Nearest TCR peer: Darligton Fabrics A division of the Moore Co., Canal Street Location (0.0 TCR gap)

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JetNet Corporation in the TCR neighbourhood

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

TCR

What this shows JetNet Corporation averages 4.8 TCR (147% of the Bags and bagging fabrics made in warp or weft knitting mills BLS benchmark).

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

JetNet Corporation TCR series: 2016=9.7 · 2017=1.8 · 2018=9.4 · 2019=3.8 · 2020=2.1 · 2021=6.8 · 2022=2.4 · 2023=4.9 · 2024=2.7 · BLS 3.3

Where JetNet Corporation falls in its industry

41 Bags and bagging fabrics made establishments

Safer than 32% of graded establishments in this industry, whose median TCR is 3.6.

More dangerous than peersSafer than peers

Narrower to Pennsylvania alone (the establishments it most directly competes with for workers and contracts): ranked #5 safest of 7 Bags and bagging fabrics made employers in Pennsylvania.

JetNet Corporation (55 employees, TCR 4.8) among 29 same-industry peers, split at the industry median of 55 employees and a TCR of 3.6 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 050100150200250 05101520 Average employees Total Case Rate JetNet Corporation
JetNet Corporation (55 employees, TCR 4.8) among 29 same-industry peers, split at the industry median of 55 employees and a TCR of 3.6

JetNet Corporation has more employees than the Bags and bagging fabrics made in warp or median and a higher injury rate than the industry's median TCR of 3.6. 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 2.7 2.7 1 0 0
2023 4.9 4.9 2 0 0
2022 2.4 2.4 1 0 0
2021 6.8 4.5 3 0 0
2020 2.1 2.1 1 0 0
2019 3.8 1.9 2 0 0
2018 9.4 1.9 5 0 0
2017 1.8 0.0 1 0 0
2016 9.7 5.8 5 0 0

OSHA ITA peer cross-reference

Establishment peer ledger

313240 · PA · Sewickley

41 Bags and bagging fabrics made in warp or weft knitting mills employers nationwide with a credible TCR · 22,692 rated employers in Pennsylvania with headcount on file · 31 employers in Sewickley, PA · 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 Darligton Fabrics A division of the Moore Co., Canal Street Location 4.8 TCR
NAICS-TCR Helmont Mills Inc 4.8 TCR
NAICS-TCR Bedford Weaving Inc 4.9 TCR
NAICS-TCR SF Fabrics LLC 4.6 TCR
STATE-SIZE Olyphant, PA 55 FTE
STATE-SIZE Viridity Energy Solutions Inc. 55 FTE
STATE-SIZE Stable Hollow Woodworking LLC 55 FTE
STATE-SIZE Whistler Construction Company 55 FTE
CITY-NEAR Valley Medical Facilities - Heritage Valley Health System 2,563 FTE
CITY-NEAR Heritage Valley Sewickley 950 FTE
CITY-NEAR Heritage Valley Health System 821 FTE
CITY-NEAR AMZL : DPP1 485 FTE
NAT-TCR Humble Brands, Inc. 4.8 TCR
NAT-TCR Metalcrafters of Albuquerque 4.8 TCR
NAT-TCR Alpha Sheet Metal Works, Inc 4.8 TCR
NAT-TCR MOM's Organic Market - Hampden 4.8 TCR
NAT-SIZE Stay-Lite Lighting 55 FTE
NAT-SIZE Embassy Suites by Hilton Tucson East 55 FTE
NAT-SIZE Soundview Transportation 55 FTE
NAT-SIZE Hydrometrics, Inc. 55 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, 2020, 2019, 2018, 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.