Full-resolution boundary zip code tabular areas (ZCTA), derived from the US Census Bureau's TIGER/Line Shapefiles. The dataset contains polygons that roughly approximate each of the USPS 5-digit zip codes.

Blockgroup land area, in square kilometers

Area Land Sqkm

Total area of census blockgroup in square kilometers

Area Sqkm

Blockgroup water area, in square kilometers

Area Water Sqkm

Pop Density

Total population of census blockgroup, as estimated by 2019 US Census American Community Survey (5-year estimate)

Pop Total

State code/ abbreviation (i.e. CA for California)

State Abbr

Two digit state FIPS code that uniquely identifies the state; helpful for offline joins with other US govt data. (i.e. 40=Oklahoma)

State Fips

Zipcode

U.S. Census Zipcodes

NCES School Locations

ACS State Demographics

ACS County Demographics

ACS Zipcode Demographics

ACS Census Tract Demographics

ACS Census Block Group Demographics

ACS State Housing

ACS County Housing

ACS Zipcode Housing

ACS Census Tract Housing

ACS Census Block Group Housing

ACS State Commute

ACS County Commute

ACS Zipcode Commute

ACS Census Tract Commute

ACS Census Block Group Commute

ACS State Economic

ACS County Economic

ACS Zipcode Economic

ACS Census Tract Economic

ACS Census Block Group Economic

ACS State Social

ACS County Social

ACS Zipcode Social

ACS Census Tract Social

ACS Census Block Group Social

NREL Alternative Fueling Stations

NREL Biodiesel Fueling Stations

NREL Compressed Natural Gas Fueling Stations

NREL Electric Vehicle Charging Stations

NREL Ethanol Fueling Stations

NREL Hydrogen Fueling Stations

NREL Liquefied Natural Gas Fueling Stations

NREL Propane Fueling Stations

hifld_fire_stations

PurpleAir Air Quality

Facebook High Resolution Population Density

HIFLD Prisons

HIFLD Electric Power Transmission Lines

OSM Water Features

OSM Highway Access

Zillow Neighborhoods

Resources IRA Energy Communities

NJ Land use 2015

NJ Waterfront Access Points

HIFLD Ports

OSM Arts & Entertainment

OSM Bars

OSM Campgrounds

OSM Dog Parks

OSM Family Entertainment

OSM Lodging

OSM Parks

OSM Playgrounds

OSM Rest Stops

OSM Restaurants

OSM Shops - Antiques

OSM Shops - Art

OSM Shop Gifts

OSM Coffee Shops

OSM Farmers Markets

OSM Libraries

OSM Shops - Sweets

OSM Sightseeing

OSM Wineries

OSM Animal Shelters

OSM Automotive

OSM Bakeries

OSM Banks

OSM Bicycle-Related

OSM Boat Ramps

OSM Cash

OSM Childcare

OSM Community Buildings

OSM Courthouses

OSM Coworking

OSM Dentists

OSM Doctors

OSM Dry Cleaning

OSM Fire Stations

OSM Fitness

OSM Funeral Related

OSM Gambling

OSM Gas Stations

OSM Golf

OSM Graveyards

OSM Higher Education

OSM Hospitals

OSM Hunting Fishing

OSM Laundromats

OSM Marinas

OSM Nightclubs

OSM Parking

OSM Pharmacies

OSM Places of Worship

OSM Police Stations

OSM Pools

OSM Post Offices

OSM Quick Money

OSM Schools

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.

Travel & Leisure

Iggy Open Data

`zipcode`	Zip code	`string`
`state_fips`	Two digit state FIPS code that uniquely identifies the state; helpful for offline joins with other US govt data. (i.e. 40=Oklahoma)	`string`
`state_abbr`	State code/ abbreviation (i.e. CA for California)	`string`
`area_land_sqkm`	Blockgroup land area, in square kilometers	`number`
`area_water_sqkm`	Blockgroup water area, in square kilometers	`number`
`area_sqkm`	Total area of census blockgroup in square kilometers	`number`
`pop_total`	Total population of census blockgroup, as estimated by 2019 US Census American Community Survey (5-year estimate)	`integer`
`pop_density`	Population density, in persons per sqkm	`number`

Iggy Docs

U.S. Census Zipcodes

Overview

Attributes