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Geospatial Analysis at Jefferson County Property Valuation
Administration
Jay Mickle, Director of GIS & Internal Technology
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Responsible for assessing all real property at fair market value
287,000 mapped parcels; over 311,000 total property records
Statutory responsibility to inspect all parcels at least once every 4 years
Real property assessments broken up by land and improvement value
About the PVA
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PVA uses a 3rd party extension to ArcMap to edit & maintain Jefferson County’s parcel map
Cadastral Mapping Maintenance
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Residential Comparison Neighborhoods
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Residential Comparison Neighborhoods
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Residential Comparison Neighborhoods
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Residential Land Value Discrepancies
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-Use interpolation methods to create a prediction surface for residential vacant parcels by using land-sale data.
-Extract values from the prediction surface to derive a value per square foot for each vacant parcel.
-To reduce error from any one interpolation method, three different interpolation methods will be used and averaged.
Proposed Solution
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Smoothed Surface of All Study Parcels
-High Values in established up scale housing areas
-High values in “trendy” areas
-High values in areas with large new housing developments
-Low values in urban low income areas
-Low values in areas with large parcel sizes and large amounts of undeveloped land
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Commercial Land Analysis - Goals
Predict commercial land value in the Central Business District (CBD) and along major transportation corridors using data based on sales of commercial vacant land in those areas.
To create a marketable booklet containing tables, maps, and charts of commercial vacant land sales and the corresponding predicted land values in the CBD and along major transportation corridors.
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CBD Prediction Map
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Commercial Corridor Analysis
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Need to study effect of foreclosures on property values
Lower sales prices affect our entire reassessment plan
Vacant structure data also reviewed alongside foreclosures
Foreclosure Analysis
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