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InsightsDictionariesAutomated Valuation Model

Automated Valuation Model

Provides automated property valuation estimates and related history, including modeled values and confidence indicators for pricing and portfolio analysis.

Automated Valuation Model (AVM) Layout

Field NameField DescriptionData Type
Constellation_ID (CID)CID (Constellation Unique Identifier)varchar
FIPS Code (State/County)Numeric code to identify every County/State in the US. 1st 2 positions = State, last 3 positions = Countyvarchar
Assessor’s Parcel Number (APN, PIN)Present if matchedvarchar
Property Full Street AddressFor Address components, see Property Address Fields on Assessment Tab of Public Records RLO.varchar
Property Unit TypeProperty Address Unit Designator.varchar
Property Unit NumberFor Address components, see Property Address Fields on Assessment Tab of Public Records RLO.varchar
Property City NameFor Address components, see Property Address Fields on Assessment Tab of Public Records RLO.varchar
Property StateTwo-letter standard postal abbreviationvarchar
Property Zip CodeFive-digit postal zip code.varchar
Estimated DateThe date the valuation was createdvarchar
Estimated ValueThe derived valuation for the subject propertyvarchar
Confidence Score100 - FSD_Score (description below)varchar
FSDForecasted Standard Deviation. A statistical measure that represents the probability that the valuation falls within one standard deviation of the actual market value. For example: If the FSD for an HVE value estimate is 10%, there is a 68% (one standard deviation) probability that the actual market value will fall between +/-10% of the HVE value estimate.varchar
Price Range MinLow limit of the valuation rangevarchar
Price Range MaxHigh limit of the valuation rangevarchar
HashvalueRecord hash value, updated hashvalue indicates if the record changedvarchar
ModificationTimestampWhen the record was updatedTimeStamp
HashvalueRecord hash value, updated hashvalue indicates if the record changedvarchar
Versionvarchar
Constellation AVM Whitepaper

AVM History Layout

Field NameField DescriptionData Type
Constellation1_ID (CID)Unique Identifier in Constellation1varchar
Record IDSource IDvarchar
Fips CodeNumeric code to identify every County/State in the US. 1st 2 positions = State, last 3 positions = Countyvarchar
Assessor’s Parcel Number (APN, PIN)Present if matchedvarchar
Property House NumberFor Address components, see Property Address fields on Assessment Tab in Public Records RLO.varchar
Property Street Direction LeftFor Address components, see Property Address fields on Assessment Tab in Public Records RLO.varchar
Property Street NameFor Address components, see Property Address fields on Assessment Tab in Public Records RLO.varchar
Property Street SuffixThe recommended Official USPS Standardized Suffix Abbreviationsvarchar
Property Street Direction RightFor Address components, see Property Address fields on Assessment Tab in Public Records RLO.varchar
Property Unit TypeProperty Address Unit Designator.varchar
Property Unit NumberFor Address components, see Property Address fields on Assessment Tab in Public Records RLO.varchar
Property City NameFor Address components, see Property Address fields on Assessment Tab in Public Records RLO.varchar
Property StateTwo-letter standard postal abbreviation.varchar
Property Zip CodeFive-digit postal zip code.varchar
YYYY_MM_ValStarting way back from 2019 July the derived valuation for the subject property in that month. We will have repeated columns for YYYY_MM_Val where YYYY = year (2019) and MM = month (07). Every month we will be adding a new column for that month with YYYY_MM_Val formatnumber
YYYY_MM_LowStarting way back from 2019 July the low limit of the valuation range in year + month. We will have repeated columns for YYYY_MM_Val where YYYY = year (2019) and MM = month (07) Every month we will be adding a new column for that month with YYYY_MM_Lownumber
YYYY_MM_HighStarting way back from 2019 July high limit of the valuation range in year + month. We will have repeated columns for YYYY_MM_Val where YYYY = year (2019) and MM = month (07). Every month we will be adding a new column for that month with YYYY_MM_Highnumber

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