US National Property Data | 157M+ Records | 35+ Property Characteristics | Ownership Information | Property Assessments
# | PROPID |
MODITYPE |
MAPREF |
APN |
SOURCE |
STATE |
COUNTY |
FIPS |
CITY |
STNUM |
STNUMEXT |
LEFTDIRECTIONAL |
STREET |
STREETSUFFIX |
RIGHTDIRECTIONAL |
LOTCODE |
UNIT |
ZIPCODE |
PLUS4 |
CARRIER_RT |
LAT |
LON |
CNSSTRACT |
CNSSBLGR |
OWNER1FN |
OWNER1LN |
OWNER2FN |
OWNER2LN |
OWNREL |
RESOWNER |
OWNERSTNUM |
OWNERSTEXT |
OWNERSTRT |
OWNERUNIT |
OWNERCITY |
OWNERSTATE |
OWNERZIP |
OWNERCTRY |
LSTBOOK |
LSTPAGE |
LSTDOCREF |
LSTSLPR |
LSTSLDATE |
LSTDEEDTYP |
LSTSLTYPE |
LSTSLNOM |
LSTSLVALID |
LSTMTGDATE |
LSTMTG |
LSTLENDER |
ASSDVALTOT |
ASSDVALLND |
ASSDVALBLD |
FY |
TAXAMT |
TAXYEAR |
RESMILRATE |
COMMILRATE |
TAXDIST |
TDMILRATE |
PROPCLASS |
PROPUSE |
ZONING |
LOTSIZESF |
LOTSIZEAC |
NUMBLDGS |
NUMUNITS |
YEARBUILT |
RENOYEAR |
NUMFLOORS |
CONDOFLOOR |
CMMNAREA |
NUMFIREPL |
NUMPARKSP |
GRBLDGAREA |
LIVINGAREA |
BASMNTAREA |
BASMUFAREA |
ATTICAREA |
FFLOORAREA |
TOTROOMS |
BEDROOMS |
BATHROOMS |
HALFBATHS |
AMENITIY1 |
AMENITY2 |
AMENITY3 |
AMENITY4 |
AMENITY5 |
BASMNTTYPE |
BUILDSTYLE |
CONDITION |
CONSTTYPE |
EXTCOVER |
FUELTYPE |
HEATTYPE |
PARKTYPE |
ROOFTYPE |
ROOFMAT |
DPSTATUS |
DPSTATDATE |
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2 | 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 | 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 |
3 | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | 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 | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx |
4 | 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 | 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 |
5 | 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 | 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 | xxxxxxxx |
6 | 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 | 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 |
7 | 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 | 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 |
8 | 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 | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxx | Xxxxxxxx |
9 | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxx | Xxxxxx | xxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxx | Xxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxx | xxxxx | xxxxxxxx | xxxxx | Xxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxx |
10 | xxxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxx | Xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxx | xxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxx | xxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx |
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Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
PROPID
|
String | PROP0606512475661 | |
MODITYPE
|
String | C | |
MAPREF
|
|||
APN
|
String | 436-530-002 | |
SOURCE
|
|||
STATE
|
String | CA | |
COUNTY
|
String | Riverside | |
FIPS
|
Integer | 6065 | |
CITY
|
String | SAN JACINTO | |
STNUM
|
|||
STNUMEXT
|
|||
LEFTDIRECTIONAL
|
|||
STREET
|
|||
STREETSUFFIX
|
|||
RIGHTDIRECTIONAL
|
|||
LOTCODE
|
|||
UNIT
|
|||
ZIPCODE
|
Integer | 92582 | |
PLUS4
|
|||
CARRIER_RT
|
|||
LAT
|
Float | 33.787533 | |
LON
|
Float | -116.992203 | |
CNSSTRACT
|
Integer | 43517 | |
CNSSBLGR
|
Integer | 1000 | |
OWNER1FN
|
|||
OWNER1LN
|
String | D R HORTON LOS ANGELES HOLDING CO INC | |
OWNER2FN
|
|||
OWNER2LN
|
|||
OWNREL
|
|||
RESOWNER
|
|||
OWNERSTNUM
|
Integer | 2280 | |
OWNERSTEXT
|
|||
OWNERSTRT
|
String | WARDLOW | |
OWNERUNIT
|
Integer | 100 | |
OWNERCITY
|
String | CORONA | |
OWNERSTATE
|
String | CA | |
OWNERZIP
|
Integer | 92878 | |
OWNERCTRY
|
|||
LSTBOOK
|
|||
LSTPAGE
|
|||
LSTDOCREF
|
Float | 2021.744832 | |
LSTSLPR
|
Integer | 5085000 | |
LSTSLDATE
|
Integer | 20211217 | |
LSTDEEDTYP
|
Integer | 36 | |
LSTSLTYPE
|
Integer | 7 | |
LSTSLNOM
|
|||
LSTSLVALID
|
|||
LSTMTGDATE
|
|||
LSTMTG
|
Integer | 0 | |
LSTLENDER
|
|||
ASSDVALTOT
|
Integer | 12882 | |
ASSDVALLND
|
Integer | 12882 | |
ASSDVALBLD
|
Integer | 0 | |
FY
|
Integer | 2021 | |
TAXAMT
|
Integer | 982 | |
TAXYEAR
|
Integer | 2021 | |
RESMILRATE
|
|||
COMMILRATE
|
|||
TAXDIST
|
|||
TDMILRATE
|
|||
PROPCLASS
|
String | V | |
PROPUSE
|
Integer | 8001 | |
ZONING
|
|||
LOTSIZESF
|
Integer | 7405 | |
LOTSIZEAC
|
Float | 0.17 | |
NUMBLDGS
|
Integer | 0 | |
NUMUNITS
|
String | ||
YEARBUILT
|
|||
RENOYEAR
|
|||
NUMFLOORS
|
String | ||
CONDOFLOOR
|
String | ||
CMMNAREA
|
|||
NUMFIREPL
|
|||
NUMPARKSP
|
Integer | 0 | |
GRBLDGAREA
|
Integer | 0 | |
LIVINGAREA
|
String | ||
BASMNTAREA
|
String | ||
BASMUFAREA
|
String | ||
ATTICAREA
|
String | ||
FFLOORAREA
|
String | ||
TOTROOMS
|
Integer | 0 | |
BEDROOMS
|
Integer | 0 | |
BATHROOMS
|
Integer | 0 | |
HALFBATHS
|
Integer | 0 | |
AMENITIY1
|
String | ||
AMENITY2
|
|||
AMENITY3
|
|||
AMENITY4
|
|||
AMENITY5
|
|||
BASMNTTYPE
|
|||
BUILDSTYLE
|
|||
CONDITION
|
|||
CONSTTYPE
|
|||
EXTCOVER
|
|||
FUELTYPE
|
|||
HEATTYPE
|
|||
PARKTYPE
|
|||
ROOFTYPE
|
|||
ROOFMAT
|
|||
DPSTATUS
|
|||
DPSTATDATE
|
Description
Country Coverage
History
Volume
157 million | Records |
3,000 | Counties |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is US National Property Data 157M+ Records 35+ Property Characteristics Ownership Information Property Assessments?
Gain an in-depth view of property characteristics for more than 157 million properties across the United States (also available at the state- and county-level).
What is US National Property Data 157M+ Records 35+ Property Characteristics Ownership Information Property Assessments used for?
This product has 5 key use cases. The Warren Group recommends using the data for Market Analytics, Customer Acquisition, Risk Analysis, Data Cleansing, and Transaction Data Enrichment. Global businesses and organizations buy Property Market Data from The Warren Group to fuel their analytics and enrichment.
Who can use US National Property Data 157M+ Records 35+ Property Characteristics Ownership Information Property Assessments?
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.
How far back does the data in US National Property Data 157M+ Records 35+ Property Characteristics Ownership Information Property Assessments go?
This product has 15 years of historical coverage. It can be delivered on a weekly and monthly basis.
Which countries does US National Property Data 157M+ Records 35+ Property Characteristics Ownership Information Property Assessments 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 Property Data 157M+ Records 35+ Property Characteristics Ownership Information Property Assessments cost?
Pricing information for US National Property Data 157M+ Records 35+ Property Characteristics Ownership Information Property Assessments 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 Property Data 157M+ Records 35+ Property Characteristics Ownership Information Property Assessments?
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 Property Data 157M+ Records 35+ Property Characteristics Ownership Information Property Assessments?
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 Property Data 157M+ Records 35+ Property Characteristics Ownership Information Property Assessments?
This product has 3 related products. These alternatives include Realtor Property Data, Realtor Data, Realtor API, Property Owner Data, Scrape All Publicly Available Property Listings & Data - Easy to Integrate., Zillow.com Data Property Listings Data Real Estate Transactions Property Valuation 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.