US Parcel Data
US parcel datasets refer to digital datasets that contain information related to real estate parcels or properties in the United States. These datasets typically include information on property ownership, boundaries, zoning, land use, tax assessments, and other property-related characteristics.
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US Parcel Data: What is it and how to use it?
There are various sources of US parcel datasets, including government agencies, commercial vendors, and open data initiatives. Some common sources of US parcel datasets include:
- County Assessor’s Offices: Many county governments in the US maintain digital parcel datasets that are available to the public. These datasets are often accessible through online portals or by request.
- Commercial Vendors: Several commercial vendors provide parcel datasets for a fee, including companies such as CoreLogic, RealQuest, and DataTree.
- Open Data Initiatives: Some local governments and nonprofit organizations make parcel datasets available as part of open data initiatives, which aim to increase transparency and accessibility of government data.
US parcel datasets are widely used by real estate professionals, local governments, and other organizations to manage land use, zoning, taxation, and other property-related decisions. The availability and quality of these datasets can vary depending on the source and the specific region covered.
US Parcel Dataset Examples
Here’s an example of how a US parcel dataset could look like:
| Parcel ID | Owner Name | Property Address | Land Use Code | Land Size | Assessed Value | Year Built | Zoning Code |
|---|---|---|---|---|---|---|---|
| 10101 | John Smith | 123 Main St, Anytown, USA | R1 | 0.25 acres | $100,000 | 2005 | R-1 |
| 20202 | Jane Doe | 456 Maple Ave, Othertown, USA | C1 | 1.5 acres | $500,000 | 1998 | C-2 |
| 30303 | Smith & Doe, LLC | 789 Elm St, Anothertown, USA | I2 | 5 acres | $1,000,000 | 1985 | I-1 |
In this example, the US parcel dataset includes several columns of information for each property, including the parcel ID, owner name, property address, land use code, land size, assessed value, year built, and zoning code. This information can be used to determine the value and potential use of the property, as well as its ownership, tax assessment, and zoning restrictions.
It’s worth noting that the specific columns and format of a US parcel dataset may vary depending on the source of the data and the intended use. However, the dataset will typically include information on the physical boundaries, ownership, and characteristics of each property.
US Parcel Data Use Cases
The main use cases for parcel data include:
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Real estate: US parcel data is used by real estate professionals in United Stated to determine property boundaries, ownership information, and property characteristics, such as zoning, land use, and assessed value.
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Land management: Parcel data is used by the US government to manage land use, zoning, taxation, and environmental conservation. This includes monitoring changes in land use, assessing the environmental impact of land use, and ensuring compliance with zoning and land use regulations.
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Infrastructure planning: Parcel data is used in planning and designing infrastructure projects, such as roads, bridges, utilities, and public facilities. This includes determining the location of infrastructure projects, assessing the impact on surrounding properties, and ensuring compliance with zoning and land use regulations.
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Emergency response: Parcel data is used by US emergency responders to locate properties and assess damages during natural disasters or other emergencies. This includes determining the location of affected properties, assessing the extent of damage, and coordinating emergency response efforts.
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Agriculture: Parcel data in the United States is used by US-based farmers and agricultural businesses to monitor crop yields, soil types, and land use patterns. This includes assessing soil fertility, monitoring crop growth, and optimizing land use to increase productivity.
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Environmental studies: Parcel data is used to track changes in land use and vegetation cover, monitor soil erosion and sedimentation, and assess the impact of land use on natural resources. This includes identifying areas of ecological importance, monitoring environmental risks, and developing strategies for environmental conservation.
Overall, parcel data is an essential component of many industries and is used to inform a wide range of decision-making processes.