metadata
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': zip
'1': city
'2': county
'3': msa
'4': state
'5': country
- name: State
dtype: string
id: State
- name: Home Type
dtype:
class_label:
names:
'0': multifamily
'1': condo/co-op
'2': SFR
'3': all homes
'4': all homes plus multifamily
- name: Date
dtype: timestamp[ms]
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: 50107320
num_examples: 586714
download_size: 229118598
dataset_size: 50107320
- 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': 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
'1': all homes plus multifamily
'2': SFR
'3': condo/co-op
'4': multifamily
- name: Date
dtype: timestamp[ms]
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: 49412198
num_examples: 578653
download_size: 180206592
dataset_size: 49412198
- 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': zip
'1': city
'2': county
'3': msa
'4': state
'5': country
- name: State
dtype: string
id: State
- name: Home Type
dtype:
class_label:
names:
'0': multifamily
'1': condo/co-op
'2': SFR
'3': all homes
'4': all homes plus multifamily
- 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: timestamp[ms]
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: 9377759
num_examples: 117912
download_size: 41145800
dataset_size: 9377759
- 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': county
'1': city
'2': zip
'3': country
'4': 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: timestamp[ms]
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: 3976869
num_examples: 31854
download_size: 14081979
dataset_size: 3976869
- 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': 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
'1': all homes plus multifamily
'2': SFR
'3': condo/co-op
'4': multifamily
- name: Date
dtype: timestamp[ms]
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: 3624631
num_examples: 49487
download_size: 10937317
dataset_size: 3624631
- 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
'1': all homes plus multifamily
'2': SFR
'3': condo/co-op
'4': multifamily
- name: Date
dtype: timestamp[ms]
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: 92914681
num_examples: 1258740
download_size: 447425069
dataset_size: 92914681
- 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': 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
'1': all homes plus multifamily
'2': SFR
'3': condo/co-op
'4': multifamily
- name: Date
dtype: timestamp[ms]
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: 27088039
num_examples: 255024
download_size: 139297577
dataset_size: 27088039
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/.
Viewer Notes
Because this repository includes the code used to process the raw Zillow data, the dataset viewer is not enabled. This is because the dataset viewer is not enabled for datasets that run arbitrary python code. For a normal viewer experience, please see the simplified version of this dataset at https://huggingface.co/datasets/misikoff/zillow-viewer. The viewer should be enabled there and the config files should match what is found here.
Supported configs:
days_on_market: Days to pending, days to close, share of listings with a price cut, and price cuts.for_sale_listings: Median listing price, new listings, and new pending listings.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.new_construction: Median sale price, median sale price per square foot, and sales count.rentals: Zillow Observed Rent Index (ZORI) for all homes, mid-tier, bottom-tier, and top-tier homes.sales: Median sale price, median sale price per square foot, and sales count.
DAYS ON MARKET AND PRICE CUTS
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 regionSize Rank: dtype="int32", a rank of the region's sizeRegion: dtype="string", the name of the regionRegion Type: dtype="class_label", the type of region- '0': zip
- '1': city
- '2': county
- '3': msa
- '4': state
- '5': country
State: dtype="string", the US state abbreviation for the state containing the regionHome Type: dtype="string", the type of home- '0': multifamily
- '1': condo/co-op
- '2': SFR
- '3': all homes
- '4': all homes plus multifamily
Date: dtype="timestamp[ms]", 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.
FOR-SALE LISTINGS
Base Columns
Region ID: dtype="string", a unique identifier for the regionSize Rank: dtype="int32", a rank of the region's sizeRegion: dtype="string", the name of the regionRegion Type: dtype="class_label", the type of region- '0': zip
- '1': city
- '2': county
- '3': msa
- '4': state
State: dtype="string", the US state abbreviation for the state containing the regionHome Type: dtype="string", the type of home- '0': all homes
- '1': all homes plus multifamily
- '2': SFR
- '3': condo/co-op
- '4': multifamily
Date: dtype="timestamp[ms]", 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 monthNew 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.
HOME VALUES
Base Columns
Region ID: dtype="string", a unique identifier for the regionSize Rank: dtype="int32", a rank of the region's sizeRegion: dtype="string", the name of the regionRegion Type: dtype="class_label", the type of region- '0': zip
- '1': city
- '2': county
- '3': msa
- '4': state
- '5': country"
State: dtype="string", the US state abbreviation for the state containing the regionHome Type: dtype="class_label", the type of home- '0': multifamily
- '1': condo/co-op
- '2': SFR
- '3': all homes
- '4': all homes plus multifamily
Bedroom Count: dtype="class_label", the number of bedrooms- '0': 1-Bedroom
- '1': 2-Bedrooms
- '2': 3-Bedrooms
- '3': 4-Bedrooms
- '4': 5+-Bedrooms
- '5': All Bedrooms
Date: dtype="timestamp[ms]", 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 regionSize Rank: dtype="int32", a rank of the region's sizeRegion: dtype="string", the name of the regionRegion Type: dtype="class_label", the type of region- '0': county
- '1': city
- '2': zip
- '3': country
- '4': msa
State: dtype="string", the US state abbreviation for the state containing the regionCity: dtype="string",Metro: dtype="string",County: dtype="string",Home Type: dtype="string", the type of homeDate: dtype="timestamp[ms]", 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"
NEW CONSTRUCTION
Base Columns
Region ID: dtype="string", a unique identifier for the regionSize Rank: dtype="int32", a rank of the region's sizeRegion: dtype="string", the name of the regionRegion Type: dtype="class_label", the type of region- '0': county
- '1': city
- '2': zip
- '3': country
- '4': msa
State: dtype="string", the US state abbreviation for the state containing the regionHome Type: dtype="class_label", the type of home- '0': all homes
- '1': all homes plus multifamily
- '2': SFR
- '3': condo/co-op
- '4': multifamily
Date: dtype="timestamp[ms]", 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 regionMedian 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 regionSales Count: dtype="int32", the number of new construction homes that sold during the month in the specified region
RENTALS
Base Columns
Region ID: dtype="string", a unique identifier for the regionSize Rank: dtype="int32", a rank of the region's sizeRegion: dtype="string", the name of the regionRegion Type: dtype="class_label", the type of region- '0': county
- '1': city
- '2': zip
- '3': country
- '4': msa
State: dtype="string", the US state abbreviation for the state containing the regionHome Type: dtype="string", the type of home- '0': all homes
- '1': all homes plus multifamily
- '2': SFR
- '3': condo/co-op
- '4': multifamily
Date: dtype="timestamp[ms]", 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.
SALES
Base Columns
Region ID: dtype="string", a unique identifier for the regionSize Rank: dtype="int32", a rank of the region's sizeRegion: dtype="string", the name of the regionRegion Type: dtype="class_label", the type of region- '0': county
- '1': city
- '2': zip
- '3': country
- '4': msa
State: dtype="string", the US state abbreviation for the state containing the regionHome Type: dtype="class_label", the type of home- '0': all homes
- '1': all homes plus multifamily
- '2': SFR
- '3': condo/co-op
- '4': multifamily
Date: dtype="timestamp[ms]", 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.
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.
- SFR: single family residence
- 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.
Example Usage
from datasets import load_dataset
dataset = load_dataset("misikoff/zillow", 'home_values', trust_remote_code=True)
Example Notebook
Linked below is an example notebook that demonstrates usage and analysis of one of the configs of this dataset.
