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NEW - Announcing the Esri-compatible Regrid Feature Service
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  • Products

    Data

    • Nationwide Parcel Data Nationwide Parcel Data
    • Parcel API & Tiles Parcel API & Tiles
    • Data Store Data Store
    • Parcels and Matched Building Footprints Parcels + Matched Building Footprints
    • addresses-menu-icon Parcels + Matched Secondary Addresses

    Mapping Tools

    • Self-Serve Plans Self-Serve Plans
    • Mapping Tools Mapping Tools
    • Mobile App Mobile App
  • Use-Cases

    • featureservice-menuicon Feature Service
    • renewables-usecase Renewable Energy
    • datascience-usecase Data Science
    • support-site_nav-1 Land Use Codes
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  • Resources

    Content

    • Regrid Blog Blog
    • Coverage Map Coverage Map
    • Reports Reports
    • Webcasts Webcasts

    Support

    • Support Site Support Site
    • Platform FAQ Platform FAQ
    • Parcel Data FAQ Parcel Data FAQ
    • Tutorial Videos Tutorial Videos

    Customers

    • Customer Stories Customer Stories
    • Case Studies Case Studies
    • Data with purpose logo Data With Purpose
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  • Products

    Data

    • Nationwide Parcel Data Nationwide Parcel Data
    • Parcel API & Tiles Parcel API & Tiles
    • Data Store Data Store
    • Parcels and Matched Building Footprints Parcels + Matched Building Footprints
    • addresses-menu-icon Parcels + Matched Secondary Addresses

    Mapping Tools

    • Self-Serve Plans Self-Serve Plans
    • Mapping Tools Mapping Tools
    • Mobile App Mobile App
  • Use-Cases

    • featureservice-menuicon Feature Service
    • renewables-usecase Renewable Energy
    • datascience-usecase Data Science
    • support-site_nav-1 Land Use Codes
    • blog_nav Vacancy
  • Resources

    Content

    • Regrid Blog Blog
    • Coverage Map Coverage Map
    • Reports Reports
    • Webcasts Webcasts

    Support

    • Support Site Support Site
    • Platform FAQ Platform FAQ
    • Parcel Data FAQ Parcel Data FAQ
    • Tutorial Videos Tutorial Videos

    Customers

    • Customer Stories Customer Stories
    • Case Studies Case Studies
    • Data with purpose logo Data With Purpose

Regrid for Data Science

Faster time to ETL & data modeling!
  • Contact us
  • Nationwide Parcel Data

Data scientists need data, right? Add a critical location dimension to your work with Regrid's nationwide property boundaries, addresses, ownership, buildings, and assessment data for the entirety of the United States. There. We just helped you solve for spatial so you can focus on creating entirely new insights.  🙌

High-quality, standardized nationwide Parcel Data

152+ million parcel records (geometry + associated tax assessment information) covering over 99% of the American population (3,121+ counties, 120+ data attributes) complete with standardized schemas, normalized land use codes, multiple formats & delivery methods, and persistent UUID’s. 

  • Bulk Delivered Files
  • API & Tileserver
  • Feature Service

Parcel Data File Forms, Parcel Record Layout Options, and File Compression 

Our bulk delivered files are available in all workable formats which makes our data compatible with any of your data stacks.

Spatial Data File Formats

GeoJSON

Web development and JavaScript focused.

GeoPackage

Open source, QGIS and general interchange format, SQLite based.

Newline-delimited GeoJSON

Each parcel is represented by a GeoJSON feature. Each feature is on a separate line.

File GDB

Esri-specific spatial format.

Shapefile

Legacy Esri format. We recommend GeoPackage or FileGDB over Shapefile. The Shapefile format has a maximum data size of 2GB (some clients can read up to 4GB) and will truncate column names.

 

Tabular Data File Formats

CSVWKT

All available data, with full geometries provided as Well-Known Text (WKT).

SQL

Postgresql SQL for loading into Postgresql databases.

CSV

All available data in CSV format, with double-quoted strings. A parcel centroid is provided in the lat and lon columns, but the full parcel geometry is not included. This format is often used in cloud based applications. Spreadsheet applications can make use of this format, but will likely encounter cell and row size limits.

 

 

For all your AI, machine learning, and spatial analytic projects, Regrid now offers a file delivery structure optimized for BigQuery and Redshift data warehouse deployments.

This is a gzip compressed, schema-only (guaranteed structure) CSV with parcel geometry described in WKT representation. Can deliver and keep current directly in your AWS S3 Buckets or GCP Storage instance.

Multiple delivery methods -  Save time, costs by ingesting & consuming data faster!

                  • Cloud services -  Direct to your Google GPC Storage or AWS S3 Buckets
                  • SFTP - secure file transfers
                  • API - Looking for a plug & play solution? Look up parcel records anywhere in the country with our stable, RESTFUL parcel API and map tiles (vector & raster).
                  • Feature Service

Universal IDs for disparate data sources

Persistent UUID -  Our universal unique id - ll_uuid makes joining & matching datasets a breeze.  The single source of persistence and truth for our data & our matched enhanced datasets makes modeling easier.

We say this confidently because we used our UUID to join & match our parcel data with nationwide building footprints data & the comprehensive address file, allowing us to provide these matched datasets as one combined parcel data solution.

Matched buildings join table 

Matching Placekeys - Regrid is one of the founding partners of the Placekey Initiative -- the universal location identifier for any physical place in the world. We can append matched Placekeys to our parcel data to make it easier for you to join parcel information with other data sources. 

Faster time to ETL, DATA INGESTION & MODELING

Trust us, we know the effort, time, and engineering work that goes into managing multiple ETL & data update cycle workflows. We have a data team that collects, curates, and standardizes parcel data from over 3,121 counties, with data updated on a monthly rolling basis.

Our UUID takes some of the guesswork out of your time spent on ETL scripting. But we’ve gone one step further by providing our customers with a flat-file called the Verse Table.

The Verse Table includes every county in the US’s state, county name, state+county FIPS code (the census GEOID), the date we last pulled directly from the source (last_refresh), a filename_stem column that indicates the filename for a county with no extension, and other details.

This machine-readable file, available in CSV and spatial formats, is especially useful when processing our monthly updates because it carries the last refresh date. Our customers structure their automated or manual updates around our verse table to stay abreast with our current data.

We provide this same table as an easy-to-use API for more real-time updates.

HEAR FROM OUR PARTNERS AT CARTO

"CARTO is the world's leading cloud native Location Intelligence platform, providing unparalleled connectivity, data visualization and spatial analysis capabilities on top of the leading cloud data platforms. Regrid worked with us to ensure the data delivery and updating processes matched our requirements helping us to accelerate the data ingestion process directly to our storage buckets in the cloud, ultimately saving us significant staff ETL work."

Javier Pérez Trufero
VP of Product at CARTO

From smartphones to connected cars, location data is changing the way we live and the way we run businesses. Everything happens somewhere, but visualizing data to see where things are isn’t the same as understanding why they happen there. CARTO is the world’s leading cloud native Location Intelligence platform, enabling organizations to use spatial data and analysis for more efficient delivery routes, better behavioral marketing, strategic store placements, and much more.

CARTO's Data Observatory brings together thousands of open and premium datasets, including Regrid, the leading provider of land parcel data, enabling a wide range of organizations to take the pain out of sourcing spatial data and optimize business decisions.

 

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Enhanced location intelligence products

Pre-joined datasets -  As fundamental as parcel data is, you will need several other datasets in addition to parcel data like buildings, addresses, points of interest, and much more. 

      • Premium Schema + Matched Building Footprints
      • Premium Schema + Matched Secondary Addresses

We’ve done the hard work of pre-joining & matching enhanced location certainty datasets to our fundamental parcel data. This means faster data evaluation, ingestion, ETL, and modeling.

A singular source of datasets with one persistent UUID, and standardized schemas provided in formats of your choice.

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Check out the coverage & currency we have for over 3,121 counties across 120+ data attributes

Data Transparency -  At Regrid, we're big believers in data transparency. All of our key documentation (such as our comprehensive, county-level coverage report) is available along with our currency & pricing. We don’t expect you to reach out to us before doing your due diligence. Our documentation will tell you exactly what data we have, and how much of it we have in the geography of your choice. 

  • Parcel Schema
  • Coverage Report

When you get our data, you're working with some of the finest data engineers, analysts, and scientists on our team at every level of engagement. We are here to help you succeed.


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Learn more about our products

Documentation & Transparency

Coverage Report

Parcel Schema

Parcel Data FAQ's

Land Use Codes Documentation

Get in touch with us to talk about the right solution for your project

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(888) 4RE-GRID

440 Burroughs St, Suite 672 Detroit, MI 48202

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Regrid is a creation of Loveland Technologies and was formerly known as Landgrid

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