What is Parcel Data? Examples, Providers, Datasets & API
On This Page:
- Overview
- Datasets
- Providers
- Attributes
- Guide
- FAQ
On This Page:
- Overview
- Datasets
- Providers
- Attributes
- Guide
- FAQ
What is Parcel Data?
Parcel data consists of land ownership, boundary lines, and property attributes associated with a specific parcel of land. It is essential for municipal planning, real estate transactions, and zoning regulations.
Government agencies, property developers, and real estate professionals rely on parcel datasets to assess land value, determine zoning restrictions, and analyze tax assessments.
Many parcel data providers offer API access, enabling seamless integration into GIS systems, real estate data platforms, and property analytics tools.
What Are Examples of Parcel Data?
Parcel data contains key attributes that help define ownership, land usage, and valuation. Examples include:
- Owner Name: The individual or entity holding the title.
- Property Addresses: Physical address and mailing address of the parcel owner.
- Acreage & Lot Size: Total land area of the parcel.
- Parcel Boundaries: Geographic coordinates and boundary descriptions.
- Mortgage Information: Loan details, lender name, and mortgage amount.
- Assessment & Tax Data: Property tax value, assessment history, and exemptions.
- Zoning Classification: Land use restrictions and permitted activities.
- Building Details: Structure type, square footage, construction year, and improvements.
Access the Best Parcel Databases, Datasets & API
Datarade features a selection of parcel datasets from trusted providers. These datasets and APIs help businesses and governments analyze land use trends, assess real estate investments, and enhance urban planning.
U.S. National Land Parcel Data | 157M+ Land Parcel Records | 100+ Property Characteristics | Land Use & Boundary Data
Geospatial Data | Land Data | Location Data | Property Data | Parcel Data
USLandGrid Nationwide Tax Parcel Data
Residential Real Estate Data | Assessor & Recorder of Deeds Data | Bulk + API | 158M Properties
BatchService - Core Property Data + Land Use Data - 155M+ Properties and 240+ Data Points
Federal Court Data | State Court Record Data | legal data scraping | PACER Data | Scrape All Publicly Available Legal Related Data | 100M+ Records
US National Probate Property Owner Data | 100K+ Probate Records | Property & Homeowner Information
TagX | Commercial Real Estate data | Commercial & non-commercial data | Household and Residential Property Data | Global coverage | updated monthly
PREDIK Data-Driven I Geographic Data I USA I Address Data I +50 million US addresses I Retail & Industrial Locations
Geospatial Data | Address Data Enrichment | International Address data | Geocoded
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Top Parcel Data Providers & Companies
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The Warren Group
CoverageUSAThe Warren Group is the leading national provider of Real Estate Data including Mortgage Data, Loan Originator Data, Sales Data, Property Data & more.99%Coverage1872Year Founded1B+Property & Mortgage Records -
CrawlBee
CoverageUSAUK+247VI contacted CrawlBee's CEO, Ryan DeWitt through Datarade. Ryan is very flexible, friendly, and extremely helpful! he worked with me to get the mortgage data I need for my research project. The data is very thorough and accurate. I highly recommend CrawlBee as I truly had a very good experience!
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USLandGrid
CoverageUSACanadaUSLandGrid is a data provider offering Intellectual Property Data, Property Owner Data, Land Use Data, Home Ownership Data, and Property Data. They are headquartered in United States of America.
Main Attributes of Parcel Data
Parcel datasets include essential attributes for land evaluation and real estate insights:
- Legal Ownership Details: Registered owners and ownership type.
- Tax Assessment Values: Current and historical property tax information.
- Land & Building Characteristics: Size, zoning, and property type details.
- Geospatial Coordinates: Mapping data for GIS and location-based analytics.
- Sales & Mortgage History: Transaction data for property appraisal.
| Attribute | Type | Description | Action |
|---|---|---|---|
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 9 datasets | |
| String | The name of a company or business, might be the legal or brand name. | View 6 datasets | |
| String | The compensation of a job. | View 5 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 4 datasets | |
| String | The name of a brand. | View 2 datasets | |
| String | The name of a city. | View 2 datasets |
Why Is Parcel Data Important?
Parcel data plays a critical role in land development, taxation, and real estate investment. It helps businesses and governments make data-driven decisions about land use, zoning regulations, and property valuations.
For example, real estate investors use parcel data to identify undervalued properties, while city planners rely on it to manage infrastructure expansion and urban growth.
How is Parcel Data Collected?
Parcel data is gathered from multiple sources, including:
- County Assessor & Recorder Offices: Public property records and tax assessment data.
- GIS & Mapping Systems: Digital land parcel maps and boundary details.
- Company Registry Data: Ownership history and transaction records.
- Survey & Land Registry Data: Official records of land divisions and property lines.
- Satellite Imagery: Visual land assessments for planning and valuation.
What is Parcel Analysis?
Parcel analysis involves evaluating property values, land use trends, and zoning impacts. It helps identify comparable sales, assess the effects of foreclosures, and track tax assessments within a neighborhood or tax district. Real estate professionals and local governments use parcel analysis to predict market trends, enforce zoning laws, and apply it to the various use cases described earlier.
Frequently Asked Questions
How is the Quality of Parcel Data Maintained?
The quality of Parcel Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Parcel Data Updated?
The update frequency for Parcel Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Parcel Data Secure?
The security of Parcel Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Parcel Data Delivered?
Parcel Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Parcel Data.
How Much Does Parcel Data Cost?
The cost of Parcel Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Parcel Data for your needs.
