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Flood Risk and Vulnerability Assessment

Active
State & Local

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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Lee County in Florida is seeking a subcontractor to conduct a comprehensive flood risk and vulnerability assessment using geographic information systems and demographic data. The work will focus on identifying high-risk flooding areas, evaluating the exposure of critical infrastructure and populations to these risks, and analyzing social vulnerability factors to determine which communities are most at risk. The contractor is expected to leverage spatial analysis and census-based datasets to produce detailed assessments that inform emergency planning, resource allocation, and resilience initiatives. The solicitation was posted on July 17, 2026, with responses due by August 19, 2026, and is categorized under NAICS code 541330 for architectural, engineering, and related services. Performance of the work is expected to take place within Lee County, though specific location details are not provided. The contract is open to qualified subcontractors meeting the technical and operational requirements for geospatial analysis and social vulnerability evaluation.

General Info

Lee County seeks subcontractor for flood risk assessment using GIS and demographic data to identify vulnerable areas and communities.

Agency

Florida → Lee CountyView Agency

NAICS

541330 - Engineering ServicesView NAICS

Place of Performance

FL, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

Posted

subcontract

Response Deadline

Submission deadline

Response Deadline

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Organization & Contact Information

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AgencyFlorida → Lee County
ContactsNo contacts available
OfficeN/A
Organization / Agency
Florida → Lee County
View Agency Profile
Office AddressN/A
ContactsNo contact information available

Full Description

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Identify high-risk flooding areas, assess infrastructure and population exposure, and evaluate social vulnerability using GIS and demographic data.

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