Benefits of Parcel Boundaries Data for Government Agencies

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Parcel boundaries data offers you a rich treasure trove of actionable data as a civil servant. Land deeds and surveys, conducted by land surveyors, map out the parcel boundaries that make up the U.S.. Previously, such data was difficult to organize and access. Interested parties had to spend hours poring over poorly-organized files and convoluted data.

Proprietary and parcel boundary data are important assets for government bodies looking to enhance government practices and improve relationships with constituents. ATTOM’s parcel boundary data works in tandem with our proprietary data to provide a comprehensive, visual snapshot of land and properties defined by parcel boundaries.

From environmental hazard management to zoning guidance, in this post – we highlight some of the benefits of utilizing area boundaries data as a government agency.

How You Can Use Parcel Boundaries Data to Simplify the Approval of Building and Renovation Projects

Parcel boundary data can be used to quickly and efficiently deduce whether or not approval can be granted for certain building or renovation projects. Parcel boundary data for plots under your jurisdiction can easily be correlated with current zoning regulations, which impact how constituents may use certain plots or buildings.

Providing land parcel GIS data to your constituents can help them easily conceptualize zoning regulations and environmental hazard risks when considering development projects in a specific location. Sharing visual third-party data sets helps to build trust with constituents, as hazard data is collected and filtered by an external source.

How You Can Use Parcel Boundaries Data for Effective Risk Management

Parcel boundaries data can also be assessed against hazard data, in conjunction with proprietary data. Data analytics that rely on such data sets can be used to mitigate the potential hazard risks of certain locations. This data can be used to create accurate, per-property history maps of potential natural catastrophes, including: floods, tornados, and fires.

This data can be invaluable in helping you to identify and address the vulnerabilities of certain areas. For example, the information you unearth can be used to introduce new evacuation routes and improve connections to local fire, health, and police services.

In addition, this data can be repurposed and shared with constituents to alert them of the potential hazard risks of certain areas – enabling you to more effectively safeguard the safety of your constituents.

The Benefits of Using ATTOM for Your Parcel Boundaries Data Needs

We offer the most exhaustive parcel boundary dataset for more over 155 million U.S. properties. Our parcel boundary data is enhanced with data from our proprietary database, enabling government agencies to easily chart the boundaries and specific attributes of each property under their governance.

In addition, ATTOM’s parcel area boundaries data can be easily integrated with industry tools, as we utilize the industry standard geographic system format – a parcel data shapefile.

Our parcel boundary data is also easily integrated with risk analysis tools, allowing you to analyze parcels’ vulnerability to certain hazard and use this to guide legislation and advice to your constituents on risk avoidance and mitigation. Moreover, you can feel confident in the accuracy of our data, as our parcel boundary files are updated monthly.

Welcome More Effective Governance with ATTOM’s Parcel Boundary Data

Government bodies can rely on proprietary and parcel boundary data to guide powerful risk-management strategies, simplify the approval of building and renovation projects, and build trust with constituents.

Want to find out more about how you can use our boundaries data to enhance government processes? Contact one of our data experts here.

Please contact us if you have questions about the underlying data referenced in this article, or would like to have access to that data in the form of custom reports, API, Bulk File or DaaS.

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