metrogis regional parcel dataset an overview. areal coverage 7 counties – anoka, carver, dakota,...
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MetroGIS Regional Parcel Dataset
An Overview
Areal Coverage • 7 Counties – Anoka, Carver,
Dakota, Hennepin, Ramsey, Scott and Washington
• Area : 6,924 km2
• Polygon: one record for each real estate/tax parcel
• Point: provides information where multiple tax parcels are represented by a single polygon (e.g., condominiums)
• Polygon counts: 962,653• Point counts: 1,061,182
http://www.datafinder.org/metadata/metrogis_regional_parcels.htm
Temporal Coverage
• 2002 – 2006 polygon shapefiles for 7 counties
Year Anoka Carver Dakota Hennepin Ramsey Scott Washington
2002 116,908 127,846 349,662 148,196 45,794 89,491
2003 119,516 31,906 129,463 352,024 148,196 47,407
2004 124,042 32,910 130,989 353,759 148,266 49,958 93,794
2005 125,852 35,197 134,302 354,778 148,724 52,989 96,303
2006 129,392 37,021 135,586 358,064 148,967 54,741 97,922
Temporal change in the number of parcels by County, 2002 - 2006
Attributes • 61 attributes/fields
• 8 numeric fields: polygon acreage, deeded acreage, estimated market value (EMV) of land, EMV-building, EMV-total, tax capacity, total tax, special assessments
• 3 date fields (last sale date, Ag. Preserve enrolled and expiration)
• Year built? Given – numeric field but should be a date field
• All other fields are text/stringhttp://www.datafinder.org/metadata/MetroGIS_Regional_Parcels_Attributes.pdf
Attribute Completeness Assessment (Updated April, 2007)
The selected attributes are present for at least 3 counties and above 90% of completeness report
Attribute Type Anoka Carver Dakota Hennepin Ramsey Scott Washington
Unique County ID
Text Y Y Y Y Y Y Y
Unique Parcel ID
Text Y Y Y Y Y Y Y
City (Actual)
Text Y Y Y Y Y Y Y
City (Mailing)
Text Y Y Y
Polygon Acreage
Num Y Y Y Y Y Y
Use-Type1 Text Y Y Y Y Y Y Y
Multiple Use Type
Text Y Y Y
Owner Name
Text Y Y Y Y Y Y
Attribute Completeness Assessment (Updated April, 2007)
The selected attributes are present for at least 3 counties and above 90% of completeness report
Attribute Type Anoka Carver Dakota Hennepin Ramsey Scott Washington
Owner Address
Text Y Y Y Y Y
Tax Payer Name
Text Y Y Y Y
Tax Payer
Address
Text Y Y Y Y
Homestead Status
Text Y Y Y Y Y Y Y
EMV land Num Y Y Y Y Y Y Y
EMV - Total Num Y Y Y Y Y Y Y
Tax Capacity
Num Y Y Y Y
Total Tax Num Y Y Y Y
Attribute Completeness Assessment (Updated April, 2007)
The selected attributes are present for at least 3 counties and above 90% of completeness report
Attribute Type Anoka Carver Dakota Hennepin Ramsey Scott Washington
Tax Exempt Status
Text Y Y Y Y Y
School Districts
Text Y Y Y Y Y Y Y
Watershed District
Text Y Y Y Y Y Y Y
Green Acres
Text Y Y Y Y
Agricultural
Preserve
Text Y Y Y
Parcel Polygon to Point and PIN Rel
Num Y Y Y Y
http://www.datafinder.org/metadata/MetroGIS_Regional_Parcels_Attributes.pdf
Examples of Incomplete Attribute
• Two fields indicate multiple uses for parcels, both are not used by all counties and are incomplete– Multiple Uses -- > 90% for Carver, Dakota, Ramsey;
minimal or no data for rest– Use Type 2 -- < 2% complete for all counties
• EMV – Buildings– > 90% complete for Ramsey & Hennepin– 74% - 86% for others
Examples of Incomplete Attributes
• 10 fields indicate characteristics of structures on parcels– Most of these are <90% complete and have
values for only two or three counties– Only one (year built) has values for all
counties
• Sale dates and values– <64% complete for all counties– Dates covered vary (e.g., Hennepin: 1970-
12/06, Carver: 1982-12/06, Anoka 2000-12/06)
Attri-bute
Anoka Carver Dakota Hen-nepin
Ramsey Scott Washing-ton
Dwell-ing Type
65 residential and non-residential categories based on use
Not used 67 residential and non-residential categories based on use
Not used
16 residential categories based mainly on # of units
Not used Not used
Hous-ing Style
120 residential and non-residential categories
15 residential categories based on architectural style
8 single-family residential categories related to # of stories
Not used
17 residential categories based on architectual style
19 residential categories based on construction material, # of stories, or architectural style
26 residential categories based on construction material, use, and # of stories
Data Quality and Consistency• Many counties use different classification schemes
for text variables (e.g., Use Type 1, Dwelling Type, Home Style, Heating, Cooling)
• Inconsistency in classification schemes complicates multi-county analyses
• Additionally, inaccuracies may exist in field completion that further complicate analyses
Data Quality and Consistency