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This Government Contract opportunity from Pennsylvania was posted on May 21, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Data Integration and Management for Land Use Model

Closed
State & Local

Contract Overview

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The contract involves the integration and management of socioeconomic data including population, households, employment, and income categorized by NAICS sectors to support a land use forecasting model. This work is essential for accurately forecasting land use patterns by leveraging detailed and sector-specific socioeconomic inputs. The contract falls under the NAICS code 518210, which pertains to data processing and related services. Issued by the Regional Planning agency in Pennsylvania, this subcontract was posted on May 21, 2026, with a response deadline set for June 5, 2026. While specific location details and points of contact are not provided, the focus is clearly on providing specialized data integration services to enhance regional land use planning and forecasting efforts. The contract aims to ensure comprehensive and reliable data flow into the modeling process to support informed decision-making in regional planning.

General Info

Integration and management of socioeconomic data for land use forecasting under NAICS 518210 in Pennsylvania.

Agency

Pennsylvania → Regional PlanningView Agency

NAICS

518210 - Computing Infrastructure Providers, Data Processing, Web Hosting, and Related ServicesView NAICS

Place of Performance

PA, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyPennsylvania → Regional Planning
ContactsNo contacts available
OfficeN/A
Organization / Agency
Pennsylvania → Regional Planning
View Agency Profile
Office AddressN/A
ContactsNo contact information available

Full Description

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Integrate and manage socioeconomic data inputs such as population, households, employment, and income by NAICS sector into the land use forecasting model.