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Home/Real Estate Data/Real Estate Valuation Data/
BatchService - Real Estate Valuation Data & Property/Rental Data, 9...
BatchService - Real Estate Valuation Data & Property/Rental Data, 9+ Data Poi...
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BatchService - Real Estate Valuation Data & Property/Rental Data, 9+ Data Points for Property Valuation

BatchService
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Data Samples
ce9c15a8-0e39-4182-a9e0-0014d3bd8d84.csv
#
owner.fullName
owner.names.0.first
owner.names.0.full
owner.names.0.last
owner.names.0.middle
owner.names.1.first
owner.names.1.full
owner.names.1.last
owner.names.1.middle
address.street
address.city
address.state
address.zip
address.zipPlus4
address.county
owner.mailingAddress.street
owner.mailingAddress.city
owner.mailingAddress.state
owner.mailingAddress.zip
owner.mailingAddress.zipPlus4
owner.mailingAddress.county
_id
valuation.ltv
valuation.estimatedValue
valuation.equityCurrentEstimatedBalance
valuation.confidenceScore
valuation.equityPercent
valuation.priceRangeMax
valuation.priceRangeMin
valuation.standardDeviation
valuation.asOfDate
ids.apn
address.longitude
address.latitude
address.houseNumber
address.hash
address.countyFipsCode
ids.addressHash
ids.fipsCode
ids.oldApn
ids.parcelHash
ids.taxId
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
2 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 xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx xxxxxxxxx Xxxxxxx xxxxx Xxxxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx
3 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
4 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
5 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
6 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
7 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
8 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
9 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
10 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 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
Sign In To Preview Data
ce9c15a8-0e39-4182-a9e0-0014d3bd8d84.csv
Volume
155M
Property Profiles
Data Quality
100%
Fill Rate
Avail. Formats
.json, .xml, and .csv
File
Coverage
1
Country
History
3
years

Data Dictionary

[Sample] ce9c15a8-0e39-4182-a9e0-0014d3bd8d84.csv
Attribute Type Example Mapping
owner.fullName
 String ***** * ******; ******* * ****** Contact Full Name
owner.names.0.first
 String ***** Contact First Name
owner.names.0.full
 String Ossie R Vereen
owner.names.0.last
 String ****** Contact Last Name
owner.names.0.middle
 String * Contact Middle Name
owner.names.1.first
 String Darlene
owner.names.1.full
 String Darlene Y Vereen
owner.names.1.last
 String Vereen
owner.names.1.middle
 Boolean t
address.street
 String ##### ##** *** ** Address
address.city
 String Seattle City Name
address.state
 String WA State Abbreviation
address.zip
 Integer 98166 ZIP Code
address.zipPlus4
 Integer 2644
address.county
 String King
owner.mailingAddress.street
 String PO Box 360
owner.mailingAddress.city
 String Seahurst
owner.mailingAddress.state
 String WA
owner.mailingAddress.zip
 Integer 98062
owner.mailingAddress.zipPlus4
 Integer 360
owner.mailingAddress.county
 String King
_id
 String 0083a545fee309b23b793ea98b1a3426
valuation.ltv
 Float 5.5
valuation.estimatedValue
 Integer 1339938
valuation.equityCurrentEstimatedBalance
 Integer 1266148
valuation.confidenceScore
 Integer 94
valuation.equityPercent
 Float 94.5
valuation.priceRangeMax
 Integer 1534288
valuation.priceRangeMin
 Integer 1022859
valuation.standardDeviation
 Integer 20
valuation.asOfDate
 DateTime 2024-02-28T00:00:00+00:00
ids.apn
 String 447700-0110
address.longitude
 Float -122.362842 Longitude
address.latitude
 Float 47.46138 Latitude
address.houseNumber
 Integer 15802
address.hash
 String ad3e1a4965c2efd1ba0d0e90c2d5fd5d
address.countyFipsCode
 Integer 53033
ids.addressHash
 String ad3e1a4965c2efd1ba0d0e90c2d5fd5d
ids.fipsCode
 Integer 53033
ids.oldApn
 Integer 447700011003
ids.parcelHash
 String dbb6fc44e58cda6120009b9518c56dfb
ids.taxId
 Integer 447700011003

Description

The property valuation dataset offers unparalleled insight into real estate market trends, property values, and investment opportunities. Access in-depth real estate valuation data with BatchService - current valuation, ARV, estimated rent, building condition, LTV Ratio, and Price Ranges.
The Property Valuation Data Listing offered by BatchService delivers an extensive and detailed dataset designed to provide unparalleled insight into real estate market trends, property values, and investment opportunities. This dataset includes over 9 critical data points that offer a comprehensive view of property valuations across various geographic regions and market conditions. Below is an in-depth description of the data points and their implications for users in the real estate industry. The Property Valuation Data Listing by BatchService is categorized into four primary sections, each offering detailed insights into different aspects of property valuation. Here’s an in-depth look at each category: 1. Current Valuation AVM Value as of Specific Date: The Automated Valuation Model (AVM) estimate of the property’s current market value, calculated as of a specified date. This value reflects the most recent assessment based on available data. Use Case: Provides an up-to-date valuation, essential for making current investment decisions, setting sale prices, or conducting market analysis. Valuation Confidence Score: A measure indicating the confidence level of the AVM value. This score reflects the reliability of the valuation based on data quality, volume, and model accuracy. Use Case: Helps users gauge the reliability of the valuation estimate. Higher confidence scores suggest more reliable values, while lower scores may indicate uncertainty or data limitations. 2. Valuation Range Price Range Minimum: The lowest estimated market value for the property within the given range. This figure represents the lower bound of the valuation spectrum. Use Case: Useful for understanding the potential minimum value of the property, helping in scenarios like setting a reserve price in auctions or evaluating downside risk. Price Range Maximum: The highest estimated market value for the property within the given range. This figure represents the upper bound of the valuation spectrum. Use Case: Provides insight into the potential maximum value, aiding in price setting, investment analysis, and comparative market assessments. AVM Value Standard Deviation: A statistical measure of the variability or dispersion of the AVM value estimates. It indicates how much the estimated values deviate from the average AVM value. Use Case: Assists in understanding the variability of the valuation and assessing the stability of the estimated value. A higher standard deviation suggests more variability and potential uncertainty. 3. LTV (Loan to Value Ratio) Current Loan to Value Ratio: The ratio of the outstanding loan balance to the current market value of the property, expressed as a percentage. This ratio helps assess the risk associated with the loan relative to the property’s value. Use Case: Crucial for lenders and investors to evaluate the financial risk of a property. A higher LTV ratio indicates higher risk, as the property value is lower compared to the loan amount. 4. Valuation Equity Calculated Total Equity: based upon estimate amortized balances for all open liens and AVM value Use Case: Provides insight into the net worth of the property for the owner. Useful for evaluating the financial health of the property, planning for refinancing, or understanding the owner’s potential gain or loss in case of sale. This structured breakdown of data points offers a comprehensive view of property valuations, allowing users to make well-informed decisions based on current market conditions, valuation accuracy, financial risk, and equity potential. This information can be particularly useful for: - Automated Valuation Models (AVMs) - Fuel Risk Management Solutions - Property Valuation Tools - ARV, rental data, building condition and more - Listing/offer Price Determination

Country Coverage

North America (1)
United States of America

History

3 years of historical data

Volume

155 million Property Profiles
87 million Homeowner Profiles
110 million Residential Properties
4.2 million Commercial Buildings

Pricing

Free sample available
License Starts at
One-off purchase
$500 / purchase
Monthly License Not available
Yearly License
$10,200 / year
Usage-based
$0.01 / API Call
Request detailed pricing

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
100%
Fill Rate

Delivery

Methods
S3 Bucket
SFTP
Email
UI Export
REST API
Frequency
daily
weekly
monthly
quarterly
yearly
real-time
on-demand
Format
.json
.xml
.csv
.xls
.sql
.txt

Use Cases

Property Valuation Real Estate Investment
Rent Forecasts
Property Investment
Property Market Analytics

Categories

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Frequently asked questions

What is BatchService - Real Estate Valuation Data & Property/Rental Data, 9+ Data Points for Property Valuation?

The property valuation dataset offers unparalleled insight into real estate market trends, property values, and investment opportunities. Access in-depth real estate valuation data with BatchService - current valuation, ARV, estimated rent, building condition, LTV Ratio, and Price Ranges.

What is BatchService - Real Estate Valuation Data & Property/Rental Data, 9+ Data Points for Property Valuation used for?

This product has 5 key use cases. BatchService recommends using the data for Property Valuation, Real Estate Investment, Rent Forecasts, Property Investment, and Property Market Analytics. Global businesses and organizations buy Property Market Data from BatchService to fuel their analytics and enrichment.

Who can use BatchService - Real Estate Valuation Data & Property/Rental Data, 9+ Data Points for Property Valuation?

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 BatchService to see what their data can do for your business and find out which integrations they provide.

How far back does the data in BatchService - Real Estate Valuation Data & Property/Rental Data, 9+ Data Points for Property Valuation go?

This product has 3 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.

Which countries does BatchService - Real Estate Valuation Data & Property/Rental Data, 9+ Data Points for Property Valuation cover?

This product includes data covering 1 country like USA. BatchService is headquartered in United States of America.

How much does BatchService - Real Estate Valuation Data & Property/Rental Data, 9+ Data Points for Property Valuation cost?

Pricing for BatchService - Real Estate Valuation Data & Property/Rental Data, 9+ Data Points for Property Valuation starts at USD0.01 per API Call. Connect with BatchService to get a quote and arrange custom pricing models based on your data requirements.

How can I get BatchService - Real Estate Valuation Data & Property/Rental Data, 9+ Data Points for Property Valuation?

Businesses can buy Property Market Data from BatchService and get the data via S3 Bucket, SFTP, Email, UI Export, and REST API. Depending on your data requirements and subscription budget, BatchService can deliver this product in .json, .xml, .csv, .xls, .sql, and .txt format.

What is the data quality of BatchService - Real Estate Valuation Data & Property/Rental Data, 9+ Data Points for Property Valuation?

BatchService has reported that this product has the following quality and accuracy assurances: 100% Fill Rate. You can compare and assess the data quality of BatchService using Datarade’s data marketplace.

What are similar products to BatchService - Real Estate Valuation Data & Property/Rental Data, 9+ Data Points for Property Valuation?

This product has 3 related products. These alternatives include CrawlBee Zillow.com Data Property Listings Data Real Estate Transactions Property Valuation Data, Realtor Property Data, Realtor Data, Realtor API, Property Owner Data, Scrape All Publicly Available Property Listings & Data - Easy to Integrate., and TagX Property Data Property Ownership data 1 Million+ records 8+ attributes Colorado USA. 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.

Starts at
$0.01 / API Call
License Starts at
One-off purchase
$500 / purchase
Monthly License Not available
Yearly License
$10,200 / year
Usage-based
$0.01 / API Call

BatchService

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