US National Rental Data | 14M+ Records in 16,000+ ZIP Codes | Rental Data Lease Terms & Pricing Trends
Verified Data Provider| # | rental_address_id |
address1_id |
address2_id |
property_id |
listing_id |
community_id |
community_name |
company_name |
top_down_community_count |
top_down_address1_count |
address_1 |
address_2 |
address_city |
address_state |
address_zip |
address_country |
address_type |
latitude |
longitude |
msa_code |
msa_name |
year_built |
bedrooms |
full_baths |
half_baths |
square_feet |
rent_amount |
listing_deposit |
property_listing_status |
description |
creation_time |
deactivation_time |
ss_raw_primary_number |
ss_raw_street_predirection |
ss_raw_street_name |
ss_raw_street_suffix |
ss_raw_street_postdirection |
ss_raw_secondary_designator |
ss_raw_secondary_number |
ss_raw_default_city_name |
ss_raw_state_abbreviation |
ss_raw_zipcode |
ss_raw_plus4_code |
amenities |
photos |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx |
| 2 | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx |
| 3 | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx |
| 4 | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
| 5 | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx |
| 6 | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx |
| 7 | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx |
| 8 | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx |
| 9 | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx |
| 10 | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx |
| ... | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
rental_address_id
|
Integer | 8777743 | |
|
address1_id
|
Integer | 8777743 | |
|
address2_id
|
|||
|
property_id
|
Integer | 13182256 | |
|
listing_id
|
Integer | 14917341 | |
|
community_id
|
Integer | 4895744 | |
|
community_name
|
String | 11878 Cobble Brook Dr | |
|
company_name
|
String | Keyrenter Folsom Property Management | |
|
top_down_community_count
|
Integer | 1 | |
|
top_down_address1_count
|
Integer | 1 | |
|
address_1
|
String | 11878 Cobble Brook Dr | |
|
address_2
|
|||
|
address_city
|
String | Rancho Cordova | |
|
address_state
|
String | CA | |
|
address_zip
|
Integer | 95742 | |
|
address_country
|
String | US | |
|
address_type
|
String | House | |
|
latitude
|
Float | 38.553356 | |
|
longitude
|
Float | -121.235016 | |
|
msa_code
|
Integer | 40900 | |
|
msa_name
|
String | Sacramento--Arden-Arcade--Roseville, CA MSA | |
|
year_built
|
|||
|
bedrooms
|
Integer | 4 | |
|
full_baths
|
Integer | 2 | |
|
half_baths
|
|||
|
square_feet
|
Integer | 2176 | |
|
rent_amount
|
Integer | 2950 | |
|
listing_deposit
|
Integer | 2950 | |
|
property_listing_status
|
String | inactive | |
|
description
|
String | Pristine 4 Bedroom Home in Quiet Rancho Cordova Neighborh... | |
|
creation_time
|
String | 10/9/24 20:05 | |
|
deactivation_time
|
String | 10/20/24 12:36 | |
|
ss_raw_primary_number
|
Integer | 11878 | |
|
ss_raw_street_predirection
|
|||
|
ss_raw_street_name
|
String | Cobble Brook | |
|
ss_raw_street_suffix
|
String | Dr | |
|
ss_raw_street_postdirection
|
|||
|
ss_raw_secondary_designator
|
|||
|
ss_raw_secondary_number
|
|||
|
ss_raw_default_city_name
|
String | Rancho Cordova | |
|
ss_raw_state_abbreviation
|
String | CA | |
|
ss_raw_zipcode
|
Integer | 95742 | |
|
ss_raw_plus4_code
|
Integer | 8008 | |
|
amenities
|
String | No Cats Allowed; No Large Dogs Allowed; Small Dogs OK | |
|
photos
|
String | https://s3-us-west-2.amazonaws.com/v2media.dwellsy.com/pr... |
Description
Country Coverage
Volume
| 14 million | Records |
| 16,000 | ZIP Codes |
| 800 | MSAs |
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Available |
| Monthly License | Available |
| Yearly License | Available |
| Usage-based | Available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
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Frequently asked questions
What is US National Rental Data 14M+ Records in 16,000+ ZIP Codes Rental Data Lease Terms & Pricing Trends?
Rental data is essential for making informed decisions. Property managers streamline operations, investors find opportunities, and asset managers enhance valuation tools using this critical resource. With verified listings and broad market coverage, our rental data outperforms traditional sources.
What is US National Rental Data 14M+ Records in 16,000+ ZIP Codes Rental Data Lease Terms & Pricing Trends used for?
This product has 5 key use cases. The Warren Group recommends using the data for Property Managers, Rent Forecasts, Property Investment, Real Estate Intelligence, and Property Market Analytics. Global businesses and organizations buy Property Market Data from The Warren Group to fuel their analytics and enrichment.
Who can use US National Rental Data 14M+ Records in 16,000+ ZIP Codes Rental Data Lease Terms & Pricing Trends?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Property Market Data. Get in touch with The Warren Group to see what their data can do for your business and find out which integrations they provide.
Which countries does US National Rental Data 14M+ Records in 16,000+ ZIP Codes Rental Data Lease Terms & Pricing Trends cover?
This product includes data covering 1 country like USA. The Warren Group is headquartered in United States of America.
How much does US National Rental Data 14M+ Records in 16,000+ ZIP Codes Rental Data Lease Terms & Pricing Trends cost?
Pricing information for US National Rental Data 14M+ Records in 16,000+ ZIP Codes Rental Data Lease Terms & Pricing Trends is available by getting in contact with The Warren Group. Connect with The Warren Group to get a quote and arrange custom pricing models based on your data requirements.
How can I get US National Rental Data 14M+ Records in 16,000+ ZIP Codes Rental Data Lease Terms & Pricing Trends?
Businesses can buy Property Market Data from The Warren Group and get the data via S3 Bucket, SFTP, Email, REST API, and Feed API. Depending on your data requirements and subscription budget, The Warren Group can deliver this product in .csv, .xls, and .txt format.
What is the data quality of US National Rental Data 14M+ Records in 16,000+ ZIP Codes Rental Data Lease Terms & Pricing Trends?
You can compare and assess the data quality of The Warren Group using Datarade’s data marketplace. The Warren Group appears on selected Datarade top lists ranking the best data providers, including Best 5 Mortgage APIs for Better Mortgage Servicing and Who’s New on Datarade? January Edition.
What are similar products to US National Rental Data 14M+ Records in 16,000+ ZIP Codes Rental Data Lease Terms & Pricing Trends?
This product has 3 related products. These alternatives include US National Foreclosure Data Pre-Foreclosure Data 23M+ Records Property Market Data, FurnishedFinder.com Dataset Mid Term Rental Dataset Rental Data Real Estate Data, and BatchService - U.S. Property Listings Data - Real Estate Market Data for Agents, Investors, Proptech, Home Services and More, 140+ Data Points. You can compare the best Property Market Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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