Parcels Grouped / Aggregate


Abstract

The Parcels Aggregate data set consists of real property parcel polygons that have been aggregated by either owner name or last sale transaction. There are three layers that comprise this data set.

  1. Parcel Owners Grouped Disaggregate
  2. Parcel Owner Grouped
  3. Parcel Sales Grouped

Parcel Owners Grouped Disaggregate represents parcels greater than 9 acres that are grouped together by owner name. Only contiguous parcels form a group. For example, XYZ Paper Company owns 100 parcels in Taylor County and there are 5 groups of parcels that share borders.

Parcel Owners Grouped represents parcels greater than 9 acres that are grouped together by owner name. All parcels owned by the same owner form one group within a county. For example, XYZ Paper Company owns 100 parcels in Taylor County and there are 5 groups of parcels that share borders, but all 5 groups are treated as one group across the county.

Parcel Sales Grouped represents parcels greater than 9 acres that are grouped together by sale transaction, e.g. book/page or document number.

Refer to the parcels metadata for information about parcel data.

Purpose

The purpose of the grouped parcels layers is to quickly visualize large parcel owners and sale transactions where there may be multiple parcels involved but are treated as one.

The purpose of parcel maps and data is tax assessment of real property. Each county in Florida elects a Property Appraiser to oversee the assessment of all real property parcels within the county.

Time Period of Content

Most data current within one month. A few appraisers lag behind and can be months old.

Publish Date

On-going

Originator

County Property Appraisers, MapWise Inc.

Publisher

MapWise Inc.

Theme Keywords

parcels, real property, land use, assessed value, property sales

Place Keywords

Florida counties: Alachua, Baker, Bay, Bradford, Brevard, Broward, Calhoun, Charlotte, Citrus, Clay, Collier, Columbia, DeSoto, Dixie, Duval, Escambia, Flagler, Franklin, Gadsden, Gilchrist, Glades, Gulf, Hamilton, Hardee, Hendry, Hernando, Highlands, Hillsborough, Indian River, Jackson, Jefferson, Lafayette, Lake, Lee, Leon, Levy, Liberty, Manatee, Marion, Martin, Miami-Dade, Monroe, Holmes, Madison, Nassau, Okaloosa, Okeechobee, Orange, Osceola, Palm Beach, Pasco, Pinellas, Polk, Putnam, Santa Rosa, Sarasota, Seminole, St Johns, St Lucie, Sumter, Suwannee, Taylor, Union, Wakulla, Walton, Washington, Volusia

Source Scale

Varies: 1:1,200 to 1:3,600

Horizontal Accuracy

Horizontal accuracy varies between counties and between areas within a county. In general, in urban areas, parcel boundary accuracy is approximately +/- 5 feet. In rural areas, or older linework without modern spatial adjustment, accuracy can be +/- 100 feet or more.

Process Steps

MapWise collects GIS parcel data and tax roll data from all 67 Property Appraisers in Florida, and standardizes the data to a common format. A custom algorithm is used to group parcels together.

Projection

State-wide seamless data - Florida Albers HARN

Individual counties - native source data projection.

Field Names

Sales Grouped

COLUMNDESCRIPTION
PARCELS_NUMNumber of parcels
PIN_ARRArray of Parcel IDs
ACRES_GISAcres calculated from GIS
O_NAME1Owner Name 1
O_NAME2Owner Name 2
O_ADDRESS1Owner Mailing Address 1
O_ADDRESS2Owner Mailing Address 2
O_CITYOwner Mailing City
O_COUNTRYOwner Mailing Country
O_STATEOwner Mailing State
O_ZIPCODEOwner Mailing Zipcode
S_ADDRESSSite Address - Address Number + PreDir + Name + SufType + SufDir + Unit
S_CITYSite Address City
S_ZIPCODESite Address Zipcode
SALE1_AMTMost Recent Sale Amount
SALE1_YEARMost Recent Sale Year
SALE1_DATEMost Recent Sale Date (yyyy-mm-dd)
SALE1_VACMost Recent Sale Vacant or Improved
SALE1_TYPMost Recent Sale Deed Type
SALE1_QUALMost Recent Sale Qualification Code
SALE1_BKMost Recent Sale Book
SALE1_PGMost Recent Sale Page
SALE1_DOCNUMMost Recent Sale Document Number
SALE1_GRANTORMost Recent Sale Grantor
SALE1_GRANTEEMost Recent Sale Grantee
MRKT_BLD_SUMMarket Building Value Sum
MRKT_IMPR_SUMMarket Misc Improved Value Sum
MRKT_LND_SUMMarket Land Value Sum
MRKT_AG_SUMMarket Agricultural Value Sum
MRKT_TOT_SUMMarket Total (Just) Value Sum
MRKT_BLD_ARRMarket Building Value Array
MRKT_IMPR_ARRMarket Misc Improved Value Array
MRKT_LND_ARRMarket Land Value Array
MRKT_AG_ARRMarket Agricultural Value Array
MRKT_TOT_ARRMarket Total (Just) Value Array
SQFT_HTD_SUMSum of Heated Square Feet
SQFT_TOT_SUMSum of Total Square Feet
LUSE_ARRLand Use Code from Property Appraiser Array
LUSE_D_ARRLand Use Code Description from Property Appraiser Array
LUSEDOR_ARR2-Digit FDOR Land Use Code Array
LUSEDOR_D_ARR2-Digit FDOR Land Use Code Description Array
ZONING_ARRZoning Code Array
D_DATEDate of Data
D_COUNTYCounty

Owners Grouped

COLUMNDESCRIPTION
PARCELS_NUMNumber of parcels
PIN_ARRArray of Parcel IDs
ACRES_GISAcres calculated from GIS
O_NAME1Owner Name 1
O_NAME2Owner Name 2
O_ADDRESS1Owner Mailing Address 1
O_ADDRESS2Owner Mailing Address 2
O_CITYOwner Mailing City
O_COUNTRYOwner Mailing Country
O_STATEOwner Mailing State
O_ZIPCODEOwner Mailing Zipcode
S_ADDRESSSite Address - Address Number + PreDir + Name + SufType + SufDir + Unit
S_CITYSite Address City
S_ZIPCODESite Address Zipcode
MRKT_BLD_SUMMarket Building Value Sum
MRKT_IMPR_SUMMarket Misc Improved Value Sum
MRKT_LND_SUMMarket Land Value Sum
MRKT_AG_SUMMarket Agricultural Value Sum
MRKT_TOT_SUMMarket Total (Just) Value Sum
MRKT_BLD_ARRMarket Building Value Array
MRKT_IMPR_ARRMarket Misc Improved Value Array
MRKT_LND_ARRMarket Land Value Array
MRKT_AG_ARRMarket Agricultural Value Array
MRKT_TOT_ARRMarket Total (Just) Value Array
SQFT_HTD_SUMSum of Heated Square Feet
SQFT_TOT_SUMSum of Total Square Feet
LUSE_ARRLand Use Code from Property Appraiser Array
LUSE_D_ARRLand Use Code Description from Property Appraiser Array
LUSEDOR_ARR2-Digit FDOR Land Use Code Array
LUSEDOR_D_ARR2-Digit FDOR Land Use Code Description Array
ZONING_ARRZoning Code Array
D_DATEDate of Data
D_COUNTYCounty