The Prince George’s County Planning Department tracks the residential and non-residential development pipeline for the County (the City of Laurel is excluded). “Development Pipeline” refers to development that has been approved by the Prince George’s County Planning Board and/or Planning Director but is yet to be built. It provides insights into short- to medium-term development, helping stakeholders such as planners, developers, policymakers, and the public stay aware of changing land uses, particularly those related to the county’s housing stock and commercial uses.
Pipeline data is sourced and compiled from approved development applications. This process involves gathering detailed information on commercial and residential development, tracking approval statuses, and identifying prevailing information to ensure accurate tabulations. High-definition aerial imagery, combined with county GIS and permit data, determine built quantities. These processes are performed on a project basis, which, together, makes up a comprehensive dataset for tracking development progress throughout the county.
Data Accuracy and Updates
Development Pipeline data changes over time as construction occurs, new development applications are received, projects get amended or rebranded, and establishments go in and out of business. Efforts are continuously made to maintain an accurate and current project database, and updates to this work are planned on a six-month to one-year cycle. Any errors, comments, or suggestions can be submitted via email to PPD-PipelineServices@ppd.mncppc.org.
This data is intended for general analysis purposes only. Specific project or site-specific information should be obtained by consulting the specific plan or by reviewing approved permits.
Interactive Development Pipeline Dashboard
An interactive dashboard showcases the development pipeline for active development projects within the county. Presented on a map divided into 36 Planning Areas, the dashboard enhances understanding of the county’s development pipeline through detailed project data and visualization of development patterns.