Property Owner Data in US. Identify new homeowner data and investors.
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Verified Data Provider| # | Mailer Address |
Mailing City |
Mailing Zip5 |
Mailing Zip4 |
Owner Occupied |
LengthofResMths |
Total Building SqFt |
Number of Baths |
Number of Bedroom |
Number Partial Baths |
Year Built Actual |
Lender Name 1 |
Multiple Property Count |
AGRID20 |
Last NCOA/CASS Date |
|||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 |
| 2 | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx |
| 3 | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
| 4 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx |
| 5 | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
| 6 | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx |
| 7 | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
| 8 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx |
| 9 | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx |
| 10 | 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 |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
Mailer Address
|
String | 1223 SANTANA CT | |
|
Mailing City
|
String | PUNTA GORDA | |
| String | FL | State Name | |
|
Mailing Zip5
|
Integer | 33950 | |
|
Mailing Zip4
|
Integer | 6618 | |
|
Owner Occupied
|
|||
| String | Contact First Name | ||
| String | Contact Middle Name | ||
| String | Contact Last Name | ||
| String | Contact First Name | ||
| String | Contact Middle Name | ||
| String | Contact Last Name | ||
|
LengthofResMths
|
Integer | 191 | |
| Float | 40.830469 | Latitude | |
| Float | -73.971535 | Longitude | |
|
Total Building SqFt
|
Integer | 1549 | |
|
Number of Baths
|
Integer | 0 | |
|
Number of Bedroom
|
Integer | 2 | |
|
Number Partial Baths
|
Integer | 0 | |
|
Year Built Actual
|
Integer | 1981 | |
|
Lender Name 1
|
String | 1ST 2ND MORTGAGE CO OF NEW JERSEY INC | |
|
Multiple Property Count
|
Integer | 4 | |
|
AGRID20
|
String | 339506618234RACCARME | |
|
Last NCOA/CASS Date
|
String | 8/29/2022 |
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
Property Location
|
41-23-29-226-004 | ||
| String | 40.830469 -73.971535 | Latitude-Longitude | |
|
Lender
|
1ST CHICAGO N B D MTG CO |
Description
Geography
History
Volume
| 155 | Million |
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Available |
| Monthly License | Available |
| Yearly License | Available |
| Usage-based | Not available |
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Delivery
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Frequently asked questions
What is Property Owner Data in US. Identify new homeowner data and investors.?
New Property owners are captured each month through the US. Find people by location, mortgage information, number of properties owned. Many demographic fields can be appended, along with email and cell phone. Also, located Veterans who are homeowners.
What is Property Owner Data in US. Identify new homeowner data and investors. used for?
This product has 5 key use cases. AGR Marketing recommends using the data for Location Intelligence, Targeted Advertising, Real Estate Intelligence, Real Estate Insights, and Sales Data Enrichment. Global businesses and organizations buy Consumer Data from AGR Marketing to fuel their analytics and enrichment.
Who can use Property Owner Data in US. Identify new homeowner data and investors.?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Consumer Data. Get in touch with AGR Marketing to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Property Owner Data in US. Identify new homeowner data and investors. go?
This Tabular Data has 1 years of historical coverage. It can be delivered on a daily and monthly basis.
Which countries does Property Owner Data in US. Identify new homeowner data and investors. cover?
This product includes data covering 1 country like USA. AGR Marketing is headquartered in United States of America.
How much does Property Owner Data in US. Identify new homeowner data and investors. cost?
Pricing information for Property Owner Data in US. Identify new homeowner data and investors. is available by getting in contact with AGR Marketing. Connect with AGR Marketing to get a quote and arrange custom pricing models based on your data requirements.
How can I get Property Owner Data in US. Identify new homeowner data and investors.?
Businesses can buy Consumer Data from AGR Marketing and get the data via S3 Bucket, SFTP, and Email. Depending on your data requirements and subscription budget, AGR Marketing can deliver this product in .json, .csv, .xls, .sql, and .txt format.
What is the data quality of Property Owner Data in US. Identify new homeowner data and investors.?
AGR Marketing has reported that this product has the following quality and accuracy assurances: 95% Match Confidence. You can compare and assess the data quality of AGR Marketing using Datarade’s data marketplace. AGR Marketing appears on selected Datarade top lists ranking the best data providers, including Best 5 Mortgage APIs to use in 2023 and Best +8 License Plate Lookup APIs to use in 2023.
What are similar products to Property Owner Data in US. Identify new homeowner data and investors.?
This Tabular Data has 3 related products. These alternatives include Alesco Email Database - Email Address Data - 2.3+ Billion US email records - available acquisition marketing and identify resolution!, Factori Identity Data One Billion+ Identity Linkages, Validation and resolution Data , and BIGDBM US Consumer Date of Birth (DOB) Data. You can compare the best Consumer Data providers and products via Datarade’s data marketplace and get the right data for your use case.