metadata

pretty_name: Zillow
license: other
description: >-
  This dataset is comprised of seven different configurations of data covering
  different aspects of the housing market in the United States. All data is
  provided by Zillow. The seven configurations are: home_values_forecasts,
  new_construction, for_sale_listings, rentals, sales, home_values, and
  days_on_market. Each configuration has a different set of features and target
  variables. The data is provided in JSONL format.
homepage: https://www.zillow.com/research/data/

Housing Data Provided by Zillow

Updated 2023-02-01

This dataset contains several configs produced based on files available at https://www.zillow.com/research/data/.

supported configs:

home_values: Zillow Home Value Index (ZHVI) for all homes, mid-tier, bottom-tier, and top-tier homes.
home_values_forecasts: Zillow Home Value Forecast (ZHVF) for all homes, mid-tier, bottom-tier, and top-tier homes.
rentals: Zillow Observed Rent Index (ZORI) for all homes, mid-tier, bottom-tier, and top-tier homes.
for_sale_listings: Median listing price, new listings, and new pending listings.
sales: Median sale price, median sale price per square foot, and sales count.
days_on_market: Days to pending, days to close, share of listings with a price cut, and price cuts.
new_construction: Median sale price, median sale price per square foot, and sales count.

HOME VALUES

Base Columns

Region ID: dtype="string", a unique identifier for the region
Size Rank: dtype="int32", a rank of the region's size
Region: dtype="string", the name of the region
Region Type: dtype="string", the type of region
State: dtype="string", the US state abbreviation for the state containing the region
Home Type: dtype="string", the type of home
Date: dtype="string", the date of the last day of the month for this data

Value Columns

Mid Tier ZHVI (Smoothed) (Seasonally Adjusted): dtype="float32",
Bottom Tier ZHVI (Smoothed) (Seasonally Adjusted): dtype="float32",
Top Tier ZHVI (Smoothed) (Seasonally Adjusted): dtype="float32",
ZHVI: dtype="float32",
Mid Tier ZHVI: dtype="float32"

HOME VALUES FORECASTS

Base Columns

Region ID: dtype="string", a unique identifier for the region
Size Rank: dtype="int32", a rank of the region's size
Region: dtype="string", the name of the region
Region Type: dtype="string", the type of region
State: dtype="string", the US state abbreviation for the state containing the region
City: dtype="string", id="City"),
Metro: dtype="string", id="Metro"),
County: dtype="string", id="County"),
Home Type: dtype="string", the type of home
Date: dtype="string", the date of these forecasts

Value Columns

Month Over Month % (Smoothed): dtype="float32",
Quarter Over Quarter % (Smoothed): dtype="float32",
Year Over Year % (Smoothed): dtype="float32"
Month Over Month % (Raw): dtype="float32"
Quarter Over Quarter % (Raw): dtype="float32"
Year Over Year % (Raw): dtype="float32"

RENTALS

Base Columns

Region ID: dtype="string", a unique identifier for the region
Size Rank: dtype="int32", a rank of the region's size
Region: dtype="string", the name of the region
Region Type: dtype="string", the type of region
State: dtype="string", the US state abbreviation for the state containing the region
Home Type: dtype="string", the type of home
Date: dtype="string", the date of the last day of the month for this data

Value Columns

Rent (Smoothed): dtype="float32", Zillow Observed Rent Index (ZORI): A smoothed measure of the typical observed market rate rent across a given region. ZORI is a repeat-rent index that is weighted to the rental housing stock to ensure representativeness across the entire market, not just those homes currently listed for-rent. The index is dollar-denominated by computing the mean of listed rents that fall into the 40th to 60th percentile range for all homes and apartments in a given region, which is weighted to reflect the rental housing stock.
Rent (Smoothed) (Seasonally Adjusted): dtype="float32", Zillow Observed Rent Index (ZORI) :A smoothed measure of the typical observed market rate rent across a given region. ZORI is a repeat-rent index that is weighted to the rental housing stock to ensure representativeness across the entire market, not just those homes currently listed for-rent. The index is dollar-denominated by computing the mean of listed rents that fall into the 40th to 60th percentile range for all homes and apartments in a given region, which is weighted to reflect the rental housing stock.

FOR-SALE LISTINGS

Base Columns

Region ID: dtype="string", a unique identifier for the region
Size Rank: dtype="int32", a rank of the region's size
Region: dtype="string", the name of the region
Region Type: dtype="string", the type of region
State: dtype="string", the US state abbreviation for the state containing the region
Home Type: dtype="string", the type of home
Date: dtype="string", the date of the last day of the month for this data

Value Columns

Median Listing Price: dtype="float32", The median price at which homes across various geographies were listed.
Median Listing Price (Smoothed): dtype="float32", The median price at which homes across various geographies were listed. (smoothed)
New Listings: dtype="int32", how many new listings have come on the market in a given month
New Listings (Smoothed): dtype="int32", how many new listings have come on the market in a given month. (smoothed)
New Pending (Smoothed): dtype="int32", The count of listings that changed from for-sale to pending status on Zillow.com in a given time period. (smoothed)
New Pending: dtype="int32", The count of listings that changed from for-sale to pending status on Zillow.com in a given time period.

SALES (TODO investigate columns)

Base Columns

Region ID: dtype="string", a unique identifier for the region
Size Rank: dtype="int32", a rank of the region's size
Region: dtype="string", the name of the region
Region Type: dtype="string", the type of region
State: dtype="string", the US state abbreviation for the state containing the region
Home Type: dtype="string", the type of home
Date: dtype="string", the date of the last day of the month for this data

Value Columns

Median Sale Price: dtype="float32", The median price at which homes across various geographies were sold.
Median Sale Price per Sqft: dtype="float32" The median price per square foot at which homes across various geographies were sold.
Sales Count: dtype="int32", The "Sales Count Nowcast" is the estimated number of unique properties that sold during the month after accounting for the latency between when sales occur and when they are reported.

DAYS ON MARKET AND PRICE CUTS (TODO investigate columns more)

Days to Pending: How long it takes homes in a region to change to pending status on Zillow.com after first being shown as for sale. The reported figure indicates the number of days (mean or median) that it took for homes that went pending during the week being reported, to go pending. This differs from the old “Days on Zillow” metric in that it excludes the in-contract period before a home sells. Days to Close (mean/median): Number of days between the listing going pending and the sale date. Share of Listings With a Price Cut: The number of unique properties with a list price at the end of the month that’s less than the list price at the beginning of the month, divided by the number of unique properties with an active listing at some point during the month. Price Cuts: The mean and median price cut for listings in a given region during a given time period, expressed as both dollars ($) and as a percentage (%) of list price.

Base Columns

Region ID: dtype="string", a unique identifier for the region
Size Rank: dtype="int32", a rank of the region's size
Region: dtype="string", the name of the region
Region Type: dtype="string", the type of region
State: dtype="string", the US state abbreviation for the state containing the region
Home Type: dtype="string", the type of home
Date: dtype="string", the date of the last day of the week for this data

Value Columns

Mean Listings Price Cut Amount (Smoothed): dtype="float32"
Percent Listings Price Cut: dtype="float32", The number of unique properties with a list price at the end of the month that’s less than the list price at the beginning of the month, divided by the number of unique properties with an active listing at some point during the month.
Mean Listings Price Cut Amount: dtype="float32"
Percent Listings Price Cut (Smoothed): dtype="float32"
Median Days on Pending (Smoothed): dtype="float32", median number of days it takes for homes in a region to change to pending status on Zillow.com after first being shown as for sale. (smoothed)
Median Days on Pending: dtype="float32", median number of days it takes for homes in a region to change to pending status on Zillow.com after first being shown as for sale.

NEW CONSTRUCTION

Base Columns

Region ID: dtype="string", a unique identifier for the region
Size Rank: dtype="int32", a rank of the region's size
Region: dtype="string", the name of the region
Region Type: dtype="string", the type of region
State: dtype="string", the US state abbreviation for the state containing the region
Home Type: dtype="string", the type of home
Date: dtype="string", the date of the last day of the month for this data

Value Columns

Median Sale Price: dtype="float32", the median sale price of new construction homes that sold during the month in the specified region
Median Sale Price per Sqft: dtype="float32", the median sale price per square foot of new construction homes that sold during the month in the specified region
Sales Count: dtype="int32", the number of new construction homes that sold during the month in the specified region

DEFINITIONS OF HOME TYPES

All Homes: Zillow defines all homes as single-family, condominium and co-operative homes with a county record. Unless specified, all series cover this segment of the housing stock.
Condo/Co-op: Condominium and co-operative homes.
Multifamily 5+ units: Units in buildings with 5 or more housing units, that are not condominiums or co-ops.
Duplex/Triplex/Quadplex: Housing units in buildings with 2, 3, or 4 housing units.

Example Usage

from datasets import load_dataset

dataset = load_dataset("misikoff/zillow", 'home_values', trust_remote_code=True)