SOUTHWEST FLORIDA * Major cities: Arcadia, Bartow, Bradenton, Fort Myers, Lakeland, Naples, North Port, Sarasota, Sebring, and Venice. * Counties: Charlotte, Collier, De Soto, Glades, Hardee, Hendry, Highlands, Lee, Manatee, Okeechobee, Polk, and Sarasota.
FDOT District 2
NORTHEAST FLORIDA * Major cities: Gainesville, Jacksonville, Lake City, Palatka, Perry, Saint Augustine, and Starke. * Counties: Alachua, Baker, Bradford, Clay, Columbia, Dixie, Duval, Gilchrist, Hamilton, Lafayette, Levy, Madison, Nassau, Putnam, St. Johns, Suwannee, Taylor, and Union.
FDOT District 3
NORTHWEST FLORIDA * Major cities: Apalachicola, Chipley, Crestview, Fort Walton Beach, Marianna, Panama City, Pensacola, Quincy, and Tallahassee. * Counties: Bay, Calhoun, Escambia, Franklin, Gadsden, Gulf, Holmes, Jackson, Jefferson, Leon, Liberty, Okaloosa, Santa Rosa, Wakulla, Walton, and Washington.
FDOT District 4
SOUTHEAST FLORIDA * Major cities: Belle Glade, Boca Raton, Fort Lauderdale, Fort Pierce, Hollywood, Pompano Beach, Stuart, Vero Beach, and West Palm Beach. * Counties: Broward, Indian River, Martin, Palm Beach, and St. Lucie.
FDOT District 5
CENTRAL FLORIDA * Major cities: Daytona Beach, DeLand, Melbourne, Merritt Island, Ocala, Orlando, and Titusville. * Counties: Brevard, Flagler, Lake, Marion, Orange, Osceola, Seminole, Sumter, and Volusia.
FDOT District 6
SOUTH FLORIDA * Major cities: Coral Gables, Hialeah, Key West, and Miami. * Counties: Miami-Dade and Monroe.
FDOT District 7
WEST CENTRAL FLORIDA * Major cities: Brooksville, Clearwater, Dunedin, Largo, New Port Richey, St. Petersburg, and Tampa. * Counties: Citrus, Hernando, Hillsborough, Pasco, and Pinellas.
The information below represents the min and max dates available for each county's actual year built field [AYRBLT]. The field [AYRBLTMAX] represents the counties maximum year built date available. The field [AYRBLTMIN] represents the counties minimum year built date available.
NAME AYRBLTMIN AYRBLTMAX ALACHUA 1853 2007 BAKER 1863 2007 BAY 1796 2006 BRADFORD 1900 2006 BREVARD 1875 2007 BROWARD 1907 2006 CALHOUN 1877 2007 CHARLOTTE 1900 2006 CITRUS 1880 2007 CLAY 1877 2006 COLLIER 1883 2006 COLUMBIA 1850 2007 MIAMI-DADE 1900 2007 DESOTO 1885 2005 DIXIE 1890 2007 DUVAL 1848 2007 ESCAMBIA 1897 2007 FLAGLER 1905 2006 FRANKLIN 1900 2006 GADSDEN 1823 2006 GILCHRIST 1900 2007 GLADES 1900 2007 GULF 1900 2006 HAMILTON 1900 2007 HARDEE 1879 2007 HENDRY 1900 2007 HERNANDO 1849 2007 HIGHLANDS 1881 2006 HILLSBOROUGH 1842 2007 HOLMES 1806 2006 INDIAN RIVER 1900 2007 JACKSON 1840 2006 JEFFERSON 1855 2006 LAFAYETTE 1901 2006 LAKE 1850 2006 LEE 1892 2007 LEON 1825 2007 LEVY 1900 2006 LIBERTY 1900 2006 MADISON 1830 2006 MANATEE 1860 2007 MARION 1851 2006 MARTIN 1873 2007 MONROE 1800 2006 NASSAU 1800 2006 OKALOOSA 1900 2007 OKEECHOBEE 1905 2006 ORANGE 1875 2007 OSCEOLA 1886 2007 PALM BEACH 1892 2006 PASCO 1900 2007 PINELLAS 1894 2007 POLK 1860 2007 PUTNAM 1838 2007 SANTA ROSA 1860 2007 SARASOTA 1882 2006 SEMINOLE 1872 2006 ST. JOHNS 1600 2006 ST. LUCIE 1890 2007 SUMTER 1860 2007 SUWANNEE 1900 2006 TAYLOR 1901 2007 UNION 1833 2006 VOLUSIA 1850 2007 WAKULLA 1900 2007 WALTON 1889 2006 WASHINGTON 1900 2006
A note about data scale:
Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data.
1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger.
Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: <http://geoplan.ufl.edu/education.html>
The datasets were in shapefile format, and in the following projections: State Plane Projection NAD 83, Feet (East, North, and West). The datasets were projected to FGDL Albers HPGN.
Process for dissolving parcel polygons based on decade of actual year built:
- For each county, FDOR tables containing the Parcel Actual Year Built data were joined to the shapefile, and a new field representing Actual Year Built [AYRBLT] was populated based on the table information.
- The parcel polygon boundaries were then Dissolved (as single part features) based on the Actual Year Built [AYRBLT] field.
- The shapefiles were then merged together based on the FDOT District that each County fell in, creating seven district wide shapefiles.
- A decade lookup table was created to represent decades between 1600 - 2007. The lookup table had 2 fields: [YEAR] for individual year between 1600-2007, and [DECADE] for unique decade identification number. The decade lookup table was then joined to the Dissolved District shapefiles.
- Another single part Dissolve was run on the shapefiles based on the decade.
- The [DECADE] field was then renamed [YB_DECADE].
- The final shapefile represents polygons of parcels which structures/ buildings were originally built in the same decade.
- Several other fields were added to the attribute table: [AUTOID] - A GeoPlan Center Internal Feature number [DESCRIPT] - Based on [YB_DECADE] [FGDLAQDATE] - The date FGDL acquired the original data from the Source.