An estimate of the average number of days > 100 degrees Fahrenheit per year (for the 30-year period spanning 1992 and 2022) computed using daily surface weather and climatological summaries from Daymet V4 (https://daac.ornl.gov/DAYMET/guides/Daymet_Daily_V4.html)

Extreme heat days

Iggy is a platform that enables real estate teams, analysts, and data scientists to easily incorporate location insights into their products, models and analyses. No fuss, no muss.

The Iggy Platform

This page gives an overview of the model-ready data and features that Iggy provides.

Intro to Place Data

We use the Iggy Feature Catalog to categorize places in the poi data source. This ontology consists of three levels – category, segment, and feature – with descriptions and examples

Feature Catalog

Iggy Features are computed across all **929 Census Bureau-defined Core-Based Statistical Areas** (CBSAs).

Dataset Statistics and Coverage

Iggy quantifies places using several approaches. For more detail on what happens behind the scenes, see the Spatial Compute Engine section.

Measures of Place

When we normalize a Feature, we are scaling its base value by some other quantity. For example, converting the raw counts of nearby grocery stores to a per capita estimate, by dividing the number of nearby grocery stores by the population within the same area.

Normalizations

Features are the product of several internal tools/services outlined in this page.

Under the Hood

Answers to frequently asked questions about how to work with Iggy Data and IggyEnrich.

Frequently Asked Questions

Reference

We’ve done the drudgework of sourcing, interpreting, and cleaning geographic datasets. It should be easier for data scientists and machine learning engineers to access these data. That’s why we’re releasing ready-to-ingest versions of these datasets so that you can get to work faster.

All Datasets

From data on banks to US census economic data, access what you need to understand the economic landscape around your locations.

Economy

Get access to a wide variety of data about the natural world to get environmental context about your locations.

Environment

Leverage a world of data about the built environment, from power plants to hospitals, in your models, analyses, and more.

Infrastructure

Access data on a range of hazards and risks to evaluate properties and locations easily.

Insurance

Access the locations and properties of a wide variety of different businesses and POIs.

POI (Points of Interest)

Leverage Iggy data to ask questions about economic development, demographics and communities to better understand our world.

Political/Social

Use Iggy data to search for nearby businesses, amenities and others that can affect property values and make data-driven decisions about site selection or show users relevant information about the area around a listing.

Real Estate

Green spaces, museums, coffeeshops and more, Iggy’s got what you need to build rich product experiences to make listings standout.

Iggy Docs

Extreme heat days