Active SLED Opportunity · GEORGIA · GEORGIA

    2026 LMIG/LRA ROAD IMPROVEMENTS

    Issued by Mitchell County Board Of Commissioners
    stateRFPgeorgiaSol. PE-77082-NONST-2026-000000006
    Open · 12d remaining
    DAYS TO CLOSE
    12
    due Jun 15, 2026
    PUBLISHED
    May 13, 2026
    Posting date
    JURISDICTION
    georgia
    state
    NAICS CODE
    237310
    AI-classified industry

    AI Summary

    Mitchell County, Georgia seeks contractors for road repair and resurfacing on 7 roads totaling 10.7 miles, including asphalt patching, leveling, chip seal, and traffic control services.

    Opportunity details

    Solicitation No.
    PE-77082-NONST-2026-000000006
    Type / RFx
    RFP
    Status
    Open
    Level
    state
    Published Date
    May 13, 2026
    Due Date
    June 15, 2026
    NAICS Code
    237310AI guide
    Jurisdiction
    georgia
    State
    georgia
    Agency
    Mitchell County Board Of Commissioners

    Description

    This Project will repair and resurface approximately 10.7 miles on 7 roads in Mitchell County including County Line Road from the Thomas/Grady line to S.R. 93 (4.45 Miles), Orr Road from Forty-Niner Road to Old Pelham Camilla Road (1.64 Miles), Goodson Road from Harney Street to U.S. 19 (1.17 Miles), Mt, Zion Church Road from U.S. 19 to Mount Zion Road (3.16 Miles), Cut Road from S.R. 112 to S.R. 93 (0.28 Miles), patch a section on Delta Pine Road, and patch a section on Stage Coach Road. The scope generally consists of 2,170 TONS of Road Patching by milling existing road and replacing with 3-6¿ of 19 mm Superpave Asphalt, 5,670 TONS of leveling, 38,870 SY of Double Chip and Sand Seal Surface Treatment, and 6,263 TONS of Asphalt Resurfacing. Project also includes traffic control, shoulder clipping, tack coat, primer, striping, shoulder restoration along with any other related accessories and appurtenances as shown on the Drawings and called for in the Contract Documents.

    Key dates

    1. May 13, 2026Published
    2. June 15, 2026Responses Due

    AI classification tags

    Frequently asked questions

    SLED stands for State, Local, and Education. These are solicitations issued by state governments, counties, cities, school districts, utilities, and higher education institutions — as opposed to federal agencies.

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