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---
language:
- en
license: other
task_categories:
- tabular-regression
- time-series-forecasting
pretty_name: Zillow
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/
dataset_info:
- config_name: days_on_market
features:
- name: Region ID
dtype: string
id: Region ID
- name: Size Rank
dtype: int32
id: Size Rank
- name: Region
dtype: string
id: Region
- name: Region Type
dtype:
class_label:
names:
'0': country
'1': msa
- name: State
dtype: string
id: State
- name: Home Type
dtype:
class_label:
names:
'0': SFR
'1': all homes (SFR + Condo)
- name: Date
dtype: string
id: Date
- name: Mean Listings Price Cut Amount (Smoothed)
dtype: float32
id: Mean Listings Price Cut Amount (Smoothed)
- name: Percent Listings Price Cut
dtype: float32
id: Percent Listings Price Cut
- name: Mean Listings Price Cut Amount
dtype: float32
id: Mean Listings Price Cut Amount
- name: Percent Listings Price Cut (Smoothed)
dtype: float32
id: Percent Listings Price Cut (Smoothed)
- name: Median Days on Pending (Smoothed)
dtype: float32
id: Median Days on Pending (Smoothed)
- name: Median Days on Pending
dtype: float32
id: Median Days on Pending
splits:
- name: train
num_bytes: 53627604
num_examples: 586714
download_size: 232641668
dataset_size: 53627604
- config_name: for_sale_listings
features:
- name: Region ID
dtype: string
id: Region ID
- name: Size Rank
dtype: int32
id: Size Rank
- name: Region
dtype: string
id: Region
- name: Region Type
dtype:
class_label:
names:
'0': country
'1': msa
- name: State
dtype: string
id: State
- name: Home Type
dtype:
class_label:
names:
'0': SFR
'1': all homes
- name: Date
dtype: string
id: Date
- name: Median Listing Price
dtype: float32
id: Median Listing Price
- name: Median Listing Price (Smoothed)
dtype: float32
id: Median Listing Price (Smoothed)
- name: New Listings
dtype: int32
id: New Listings
- name: New Listings (Smoothed)
dtype: int32
id: New Listings (Smoothed)
- name: New Pending (Smoothed)
dtype: int32
id: New Pending (Smoothed)
- name: New Pending
dtype: int32
id: New Pending
splits:
- name: train
num_bytes: 52884116
num_examples: 578653
download_size: 179627939
dataset_size: 52884116
- config_name: home_values
features:
- name: Region ID
dtype: string
id: Region ID
- name: Size Rank
dtype: int32
id: Size Rank
- name: Region
dtype: string
id: Region
- name: Region Type
dtype:
class_label:
names:
'0': state
- name: State
dtype: string
id: State
- name: Home Type
dtype:
class_label:
names:
'0': all homes (SFR/condo)
'1': SFR
'2': condo
- name: Bedroom Count
dtype:
class_label:
names:
'0': 1-Bedroom
'1': 2-Bedrooms
'2': 3-Bedrooms
'3': 4-Bedrooms
'4': 5+-Bedrooms
'5': All Bedrooms
- name: Date
dtype: string
id: Date
- name: Bottom Tier ZHVI (Smoothed) (Seasonally Adjusted)
dtype: float32
id: Bottom Tier ZHVI (Smoothed) (Seasonally Adjusted)
- name: Mid Tier ZHVI (Smoothed) (Seasonally Adjusted)
dtype: float32
id: Mid Tier ZHVI (Smoothed) (Seasonally Adjusted)
- name: Top Tier ZHVI (Smoothed) (Seasonally Adjusted)
dtype: float32
id: Top Tier ZHVI (Smoothed) (Seasonally Adjusted)
splits:
- name: train
num_bytes: 10085231
num_examples: 117912
download_size: 42082517
dataset_size: 10085231
- config_name: home_values_forecasts
features:
- name: Region ID
dtype: string
id: Region ID
- name: Size Rank
dtype: int32
id: Size Rank
- name: Region
dtype: string
id: Region
- name: Region Type
dtype:
class_label:
names:
'0': zip
'1': country
'2': msa
- name: State
dtype: string
id: State
- name: City
dtype: string
id: City
- name: Metro
dtype: string
id: Metro
- name: County
dtype: string
id: County
- name: Date
dtype: string
id: Date
- name: Month Over Month % (Smoothed) (Seasonally Adjusted)
dtype: float32
id: Month Over Month % (Smoothed) (Seasonally Adjusted)
- name: Quarter Over Quarter % (Smoothed) (Seasonally Adjusted)
dtype: float32
id: Quarter Over Quarter % (Smoothed) (Seasonally Adjusted)
- name: Year Over Year % (Smoothed) (Seasonally Adjusted)
dtype: float32
id: Year Over Year % (Smoothed) (Seasonally Adjusted)
- name: Month Over Month %
dtype: float32
id: Month Over Month %
- name: Quarter Over Quarter %
dtype: float32
id: Quarter Over Quarter %
- name: Year Over Year %
dtype: float32
id: Year Over Year %
splits:
- name: train
num_bytes: 4167993
num_examples: 31854
download_size: 14050125
dataset_size: 4167993
- config_name: new_construction
features:
- name: Region ID
dtype: string
id: Region ID
- name: Size Rank
dtype: int32
id: Size Rank
- name: Region
dtype: string
id: Region
- name: Region Type
dtype:
class_label:
names:
'0': country
'1': msa
- name: State
dtype: string
id: State
- name: Home Type
dtype:
class_label:
names:
'0': SFR
'1': all homes
'2': condo/co-op only
- name: Date
dtype: string
id: Date
- name: Median Sale Price
dtype: float32
id: Median Sale Price
- name: Median Sale Price per Sqft
dtype: float32
id: Sale Price per Sqft
- name: Sales Count
dtype: int32
id: Sales Count
splits:
- name: train
num_bytes: 3921553
num_examples: 49487
download_size: 10903095
dataset_size: 3921553
- config_name: rentals
features:
- name: Region ID
dtype: string
id: Region ID
- name: Size Rank
dtype: int32
id: Size Rank
- name: Region
dtype: string
id: Region
- name: Region Type
dtype:
class_label:
names:
'0': county
'1': city
'2': zip
'3': country
'4': msa
- name: State
dtype: string
id: State
- name: Home Type
dtype:
class_label:
names:
'0': all homes plus multifamily
'1': SFR
'2': multifamily
- name: Date
dtype: string
id: Date
- name: Rent (Smoothed)
dtype: float32
id: Rent (Smoothed)
- name: Rent (Smoothed) (Seasonally Adjusted)
dtype: float32
id: Rent (Smoothed) (Seasonally Adjusted)
splits:
- name: train
num_bytes: 100467121
num_examples: 1258740
download_size: 446166329
dataset_size: 100467121
- config_name: sales
features:
- name: Region ID
dtype: string
id: Region ID
- name: Size Rank
dtype: int32
id: Size Rank
- name: Region
dtype: string
id: Region
- name: Region Type
dtype:
class_label:
names:
'0': country
'1': msa
- name: State
dtype: string
id: State
- name: Home Type
dtype:
class_label:
names:
'0': SFR
'1': all homes
- name: Date
dtype: string
id: Date
- name: Mean Sale to List Ratio (Smoothed)
dtype: float32
id: Mean Sale to List Ratio (Smoothed)
- name: Median Sale to List Ratio
dtype: float32
id: Median Sale to List Ratio
- name: Median Sale Price
dtype: float32
id: Median Sale Price
- name: Median Sale Price (Smoothed) (Seasonally Adjusted)
dtype: float32
id: Median Sale Price (Smoothed) (Seasonally Adjusted)
- name: Median Sale Price (Smoothed)
dtype: float32
id: Median Sale Price (Smoothed)
- name: Median Sale to List Ratio (Smoothed)
dtype: float32
id: Median Sale to List Ratio (Smoothed)
- name: '% Sold Below List'
dtype: float32
id: '% Sold Below List'
- name: '% Sold Below List (Smoothed)'
dtype: float32
id: '% Sold Below List (Smoothed)'
- name: '% Sold Above List'
dtype: float32
id: '% Sold Above List'
- name: '% Sold Above List (Smoothed)'
dtype: float32
id: '% Sold Above List (Smoothed)'
- name: Mean Sale to List Ratio
dtype: float32
id: Mean Sale to List Ratio
splits:
- name: train
num_bytes: 28618183
num_examples: 255024
download_size: 139042553
dataset_size: 28618183
---
# Housing Data Provided by Zillow (In Progress)
Updated 2023-02-01
This dataset contains several configs produced based on files available at https://www.zillow.com/research/data/.
Supported configs:
<!-- list each with a short description (1 sentence) -->
- [`home_values`](#home-values): Zillow Home Value Index (ZHVI) for all homes, mid-tier, bottom-tier, and top-tier homes.
- [`home_values_forecasts`](#home-values-forecasts): Zillow Home Value Forecast (ZHVF) for all homes, mid-tier, bottom-tier, and top-tier homes.
- [`rentals`](#rentals): Zillow Observed Rent Index (ZORI) for all homes, mid-tier, bottom-tier, and top-tier homes.
- [`for_sale_listings`](#for-sale-listings): Median listing price, new listings, and new pending listings.
- [`sales`](#sales): Median sale price, median sale price per square foot, and sales count.
- [`days_on_market`](#days-on-market): Days to pending, days to close, share of listings with a price cut, and price cuts.
- [`new_construction`](#new-construction): Median sale price, median sale price per square foot, and sales count.
## HOME VALUES
<!-- Zillow Home Value Index (ZHVI): A measure of the typical home value and market changes across a given region and housing type. It reflects the typical value for homes in the 35th to 65th percentile range. Available as a smoothed, seasonally adjusted measure and as a raw measure. -->
<!-- Zillow publishes top-tier ZHVI (\$, typical value for homes within the 65th to 95th percentile range for a given region) and bottom-tier ZHVI (\$, typical value for homes within the 5th to 35th percentile range for a given region). -->
<!-- Zillow also publishes ZHVI for all single-family residences (\$, typical value for all single-family homes in a given region), for condo/coops (\$), for all homes with 1, 2, 3, 4 and 5+ bedrooms (\$), and the ZHVI per square foot (\$, typical value of all homes per square foot calculated by taking the estimated home value for each home in a given region and dividing it by the home’s square footage). -->
<!-- Note: Starting with the January 2023 data release, and for all subsequent releases, the full ZHVI time series has been upgraded to harness the power of the neural Zestimate. -->
<!-- More information about what ZHVI is and how it’s calculated is available on this overview page. Here’s a handy ZHVI User Guide for information about properly citing and making calculations with this metric. -->
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
<!-- Zillow Home Value Forecast (ZHVF): A month-ahead, quarter-ahead and year-ahead forecast of the Zillow Home Value Index (ZHVI). ZHVF is created using the all homes, mid-tier cut of ZHVI and is available both raw and smoothed, seasonally adjusted. -->
<!-- Note: Starting with the January 2023 forecast (made available in February 2023), Zillow’s Home Value Forecast is based on the upgraded ZHVI that harnesses the power of the neural Zestimate. More information about what ZHVI is and how it’s calculated is available on this overview page. -->
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)
<!-- Sale-to-List Ratio (mean/median): Ratio of sale vs. final list price. -->
<!-- Percent of Sales Below/Above List: Share of sales where sale price below/above the final list price; excludes homes sold for exactly the 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 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
```python
from datasets import load_dataset
dataset = load_dataset("misikoff/zillow", 'home_values', trust_remote_code=True)
``` |