Regrid for Data Science (Parcel Data Use Case)

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.
Apache Parquet	Open source, columnar based format often used for data pipelines. Ideal for fast querying and designed for large-scale analysis.

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).
        
        Regrid Feature Service - delivered directly into your Esri stack

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.

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 3,190 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.

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.

Learn more about our products

Documentation & Transparency

Coverage Report

Parcel Schema

Parcel Data FAQ's

Land Use Codes Documentation

Data

Mapping Tools

Content

Support

Customers

Data

Mapping Tools

Content

Support

Customers