CitiesOR
OSHA + DOL WHD Federal data Public records

Happy valley, OR

OSHA inspections and DOL WHD cases sourced from the most recent federal release. Each employer record links to the full inspection or case history.

As of 2024, Happy valley, OR has 28 employers tracked by OSHA with 72 total inspections and $202K in penalties assessed.

28
Employers
72
Inspections
149
Violations
$202K
Penalties

What the Data Says About Happy valley

Workplace safety enforcement records in Happy valley, OR span 28 employers and 72 OSHA inspections, producing an average of 2.6 inspections per employer. Across those inspections, federal inspectors documented 149 violations — a rate of 2.07 violations per inspection. Cumulative penalties assessed against local employers reach $202K, averaging $7K per tracked employer.

Penalty activity in this city is concentrated: MANNY G CONSTRUCTION INC alone accounts for $72K in current OSHA penalties, representing 35.5% of the citywide total. The 149 violations on record include every citation category OSHA tracks — serious, willful, repeat, and other-than-serious. Because OSHA prioritizes complaint-driven and high-hazard inspections, cities with active enforcement footprints like Happy valley typically represent workplaces where either workers filed reports or inspectors targeted known industry risks.

For job seekers, workers, and journalists, these 28 employer records provide a verifiable compliance trail. Each record below links to that employer's full inspection history, violation breakdown, and penalty timeline. The underlying data comes directly from the U.S. Department of Labor's public enforcement database and reflects current assessed amounts following any settlements, informal conferences, or formal contests.

Top Employers in Happy valley

# Employer Inspections Violations Penalty
1 MANNY G CONSTRUCTION INC
Construction
3 17 $72K
2 WALL 2 WALL CONSTRUCTION LLC
Construction
2 8 $29K
3 Sinju Sushi
Accommodation & Food Services
0 0 $0
4 LOS ANGELES FRAMING LLC
Construction
4 12 $22K
5 OLD STAR CONSTRUCTION INC
Construction
2 8 $16K
6 ALTAMIRANO CONSTRUCTION LLC
Construction
7 19 $14K
7 LENNAR NORTHWEST INC
Construction
2 2 $8K
8 Chipotle Mexican Grill
Accommodation & Food Services
0 0 $0
9 PACIFIC GROUND WORKS INC
Construction
2 6 $5K
10 JOSE GARCIA CONSTRUCTION LLC
Construction
4 8 $5K

Nearby Cities in OR

Compare top employers in Happy valley side-by-side →

All Employers in Happy valley, OR

Employer Industry Inspections Penalty
MANNY G CONSTRUCTION INC Construction 3 $72K
WALL 2 WALL CONSTRUCTION LLC Construction 2 $29K
Sinju Sushi Accommodation & Food Services 0 $0
LOS ANGELES FRAMING LLC Construction 4 $22K
OLD STAR CONSTRUCTION INC Construction 2 $16K
ALTAMIRANO CONSTRUCTION LLC Construction 7 $14K
LENNAR NORTHWEST INC Construction 2 $8K
Chipotle Mexican Grill Accommodation & Food Services 0 $0
PACIFIC GROUND WORKS INC Construction 2 $5K
JOSE GARCIA CONSTRUCTION LLC Construction 4 $5K
BRAVO'S CONSTRUCTION SERVICES LLC Construction 2 $4K
PERAZA CONSTRUCTION LLC Construction 2 $4K
EVANS CONSTRUCTION SIDING CORP Construction 2 $4K
JRD CONSTRUCTION LLC Construction 2 $4K
TALIESIN HOMES NW LLC Construction 2 $3K
COLSON & COLSON GENERAL CONTRACTOR INC Construction 3 $3K
INLINE SIDING INC Construction 8 $3K
G CAM CONSTRUCTION INC Construction 2 $2K
D R HORTON INC PORTLAND Construction 2 $2K
STF CONSTRUCTION INC Construction 2 $1K
LINDBERG PIPE & GRADE INC Construction 2 $840
TCV EMPLOYEES LLC Healthcare & Social Assistance 2 $690
WOOD FLOORS BY DESIGN INC Construction 2 $565
DOLLAR TREE STORES INC Retail Trade 2 $560
NORTHWEST GROUP INC Accommodation & Food Services 2 $500
MACY'S WEST STORES INC Retail Trade 2 $480
MG CONSTRUCTION INC Construction 4 $350
THE SANKOZ CORPORATION Construction 3 $100

Source: OSHA Enforcement Data — U.S. Department of Labor (data.dol.gov)
Source: Wage & Hour Division (WHD) Compliance Actions — U.S. Department of Labor

Disclaimer: This information is provided for informational purposes only and does not constitute professional advice. Consult a qualified professional before making decisions based on this data.

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