US National Deed & Mortgage Data | 500M+ Records | Deed & Mortgage Characteristics | 15 Years of Property Transaction Data
# | PROPID |
TRANID |
MODITYPE |
SOURCE |
FIPS |
STNUM |
STNUMEXT |
LEFTDIRECTIONAL |
STREETSUFFIX |
RIGHTDIRECTIONAL |
LOTCODE |
UNIT |
PLUS4 |
BUYER1FN |
BUYER1LN |
BUYER2FN |
BUYER2LN |
BUYERREL |
SELLER1FN |
SELLER1LN |
SELLER2FN |
SELLER2LN |
SELLERREL |
BOOK |
PAGE |
DOCNUM |
PRICE |
DATE |
DEEDTYPE |
SALETYPE |
NOMINAL |
VALIDSALE |
MORTGAGE |
LENDER |
MTGBOOK |
MTGPAGE |
MTGDOCNUM |
PROPCLASS |
PROPUSE |
MTGTYPE |
MTGTERM |
MTGINT |
MTGCHGDATE |
MTGINTADJ |
MULTIPRCLS |
MTGSIZE |
MTGMOD |
MTGCONSOL |
MULTIPRCLM |
COMMMTG |
MERSNUM |
FHAVANUM |
BUYERSTNUM |
BUYERSTNUMEXT |
BUYERLEFTDIRECTIONAL |
BUYERSTREET |
BUYERSTREETSUFFIX |
BUYERRIGHTDIRECTIONAL |
BUYERUNITTYPE |
BUYERUNIT |
BUYERCITY |
BUYERSTATE |
BUYERZIP |
BUYERPLUS4 |
MTGINTPCD |
MTGINTPDS |
ForeclosureFlag |
|||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | 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 |
2 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | 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 | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx |
3 | 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 | 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 |
4 | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | 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 | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx |
5 | 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 | 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 |
6 | 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 | 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 |
7 | 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 | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx |
8 | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx |
9 | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx |
10 | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx |
... | xxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | xxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
PROPID
|
|||
TRANID
|
String | TRAN0600103957482212 | |
MODITYPE
|
String | I | |
SOURCE
|
|||
String | CA | State Abbreviation | |
String | Alameda | County Name | |
FIPS
|
Integer | 6001 | |
String | HAYWARD | City Name | |
STNUM
|
Integer | 1534 | |
STNUMEXT
|
|||
LEFTDIRECTIONAL
|
|||
String | Address | ||
STREETSUFFIX
|
String | CT | |
RIGHTDIRECTIONAL
|
|||
LOTCODE
|
|||
UNIT
|
|||
Integer | 94544 | ZIP Code | |
PLUS4
|
Integer | 6210 | |
BUYER1FN
|
|||
BUYER1LN
|
String | CASTILLO | |
BUYER2FN
|
|||
BUYER2LN
|
String | CASTILLO PLUMBING | |
BUYERREL
|
String | ID | |
SELLER1FN
|
|||
SELLER1LN
|
|||
SELLER2FN
|
|||
SELLER2LN
|
|||
SELLERREL
|
|||
BOOK
|
|||
PAGE
|
|||
DOCNUM
|
Float | 2021.382785 | |
PRICE
|
|||
DATE
|
Integer | 20211130 | |
DEEDTYPE
|
Integer | 93 | |
SALETYPE
|
|||
NOMINAL
|
|||
VALIDSALE
|
|||
MORTGAGE
|
Integer | 100000 | |
LENDER
|
String | NATIONAL ASIAN AMERICAN COALITION | |
MTGBOOK
|
|||
MTGPAGE
|
|||
MTGDOCNUM
|
Float | 2021.382785 | |
PROPCLASS
|
|||
PROPUSE
|
|||
MTGTYPE
|
Integer | 21 | |
MTGTERM
|
Integer | 360 | |
MTGINT
|
Float | 3.09 | |
MTGCHGDATE
|
|||
MTGINTADJ
|
|||
MULTIPRCLS
|
|||
MTGSIZE
|
|||
MTGMOD
|
|||
MTGCONSOL
|
|||
MULTIPRCLM
|
|||
COMMMTG
|
|||
MERSNUM
|
|||
FHAVANUM
|
|||
BUYERSTNUM
|
Integer | 1534 | |
BUYERSTNUMEXT
|
|||
BUYERLEFTDIRECTIONAL
|
|||
BUYERSTREET
|
String | BALEIN | |
BUYERSTREETSUFFIX
|
String | CT | |
BUYERRIGHTDIRECTIONAL
|
|||
BUYERUNITTYPE
|
|||
BUYERUNIT
|
|||
BUYERCITY
|
String | HAYWARD | |
BUYERSTATE
|
String | CA | |
BUYERZIP
|
Integer | 94544 | |
BUYERPLUS4
|
Integer | 6210 | |
MTGINTPCD
|
|||
MTGINTPDS
|
|||
ForeclosureFlag
|
Description
Country Coverage
History
Volume
500 million | Records |
3,000 | Counties |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is US National Deed & Mortgage Data 500M+ Records Deed & Mortgage Characteristics 15 Years of Property Transaction Data?
Sourced from recorder offices, deed and mortgage data provides a one-of-a-kind view of real estate transactions across the United States.
What is US National Deed & Mortgage Data 500M+ Records Deed & Mortgage Characteristics 15 Years of Property Transaction Data used for?
This product has 5 key use cases. The Warren Group recommends using the data for Market Analytics, Marketing Data Enrichment, Data Management, Data Cleansing, and Transaction Data Enrichment. Global businesses and organizations buy Mortgage Data from The Warren Group to fuel their analytics and enrichment.
Who can use US National Deed & Mortgage Data 500M+ Records Deed & Mortgage Characteristics 15 Years of Property Transaction Data?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Mortgage 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.
How far back does the data in US National Deed & Mortgage Data 500M+ Records Deed & Mortgage Characteristics 15 Years of Property Transaction Data go?
This product has 15 years of historical coverage. It can be delivered on a weekly and monthly basis.
Which countries does US National Deed & Mortgage Data 500M+ Records Deed & Mortgage Characteristics 15 Years of Property Transaction Data 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 Deed & Mortgage Data 500M+ Records Deed & Mortgage Characteristics 15 Years of Property Transaction Data cost?
Pricing information for US National Deed & Mortgage Data 500M+ Records Deed & Mortgage Characteristics 15 Years of Property Transaction Data 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 Deed & Mortgage Data 500M+ Records Deed & Mortgage Characteristics 15 Years of Property Transaction Data?
Businesses can buy Mortgage 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 Deed & Mortgage Data 500M+ Records Deed & Mortgage Characteristics 15 Years of Property Transaction Data?
The Warren Group has reported that this product has the following quality and accuracy assurances: 99% Coverage. 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 Who’s New on Datarade? January Edition and Best 5 Mortgage APIs for Better Mortgage Servicing.
What are similar products to US National Deed & Mortgage Data 500M+ Records Deed & Mortgage Characteristics 15 Years of Property Transaction Data?
This product has 3 related products. These alternatives include BatchService - Mortgage Data + Mortgage Loan Data - Transactions, Liens, and Mortgage History, US National Mortgage Assignments & Releases 213M+ Records Mortgage Rates Data & Property Owner Data, and Alesco Home Ownership Mortgage Data - 50+ Million US Homeowners - Available for Licensing!. You can compare the best Mortgage Data providers and products via Datarade’s data marketplace and get the right data for your use case.