Florida Condominiums, Timeshares, and Mobile Homes: download files
Condominiums Approved, acknowledged and recorded condominium projects and managing entities (terminated, rejected or withdrawn projects are not included).
File Name Size - Updated
North Florida Counties Alachua, Baker, Bay, Bradford, Calhoun, Clay, Columbia, Dixie, Duval, Escambia, Flagler, Franklin, Gadsden, Gilchrist, Gulf, Hamilton, Holmes, Jackson, Jefferson, Lafayette, Leon, Levy, Liberty, Madison, Marion, Nassau, Okaloosa, Putnam, Santa Rosa, St. Johns, Suwannee, Taylor, Union, Wakulla, Walton, Washington
491,142 - 07/19/2008
Central Florida East Counties Brevard, Indian River, Lake, Martin, Okeechobee, Orange, Osceola, Polk, Seminole, St. Lucie, Volusia 799,865 - 07/19/2008
Central Florida West Counties Charlotte, Citrus, Collier, DeSoto, Glades, Hardee, Hendry, Hernando, Highlands, Hillsborough, Lee, Manatee, Pasco, Pinellas, Sarasota, Sumter 2,224,306 - 07/19/2008
Dade and Monroe Counties 1,269,561 - 07/19/2008
Broward and Palm Beach Counties 1,852,304 - 07/19/2008
Condominiums File Structure: ---------------------------------------- Project Number, File Number, Condo Name, County, Street, City, State, Zip, Units, Recorded Date, Primary Status, Secondary Status, Managing Entity Name, Managing Entity Route, Managing Entity Street, Managing Entity City, Managing Entity State, Managing Entity Zip
What is Geocoding? Geocoding is term used to describe the act of address matching. Geocoding is the process of finding a geographic location (x, y point) for an address (such as street number and name, city, state, and ZIP Code) on a map. Geocoding is based off the typical address scheme for the US, in which one side of the street contains even house numbers while the other side of the street contains odd house numbers.
The geocoding process uses an algorithm to find the geographic location of addresses. First, a street segment is identified using the zip code and street name. Next, the geographic location of the address is matched using the building number to determine how far down the street and on which side of the street the building is located. Geocoding Accuracy
The locational accuracy of geocoded addresses may vary from urban to rural areas due to the algorithm used to generate the geographic locations of addresses. The algorithm assumes that the size of parcels are equivalent along a road route. This assumption tends to be more consistent in urban areas, where the size of parcels vary less than in rural areas. Consequently, the results of geocoded addresses in urban areas are usually more reliable than those in rural areas.
For example, the locational accuracy of rural addresses can be slightly off because some parcels along a rural route may be 15 acres while others may be 2.5 acres, but the geocoding algorithm assumes that the addresses are distributed evenly along the route.
Division of Florida Condominiums, Timeshares, and Mobile Homes Online: <http://www.myfloridalicense.com/dbpr/lsc/index.html>
Applicant / licensee download files Online: <http://www.myfloridalicense.com/dbpr/sto/file_download/file-download.html>
Florida Condominiums, Timeshares, and Mobile Homes: download files Online: <http://www.myfloridalicense.com/dbpr/sto/file_download/lsc_download.shtml>
DEPARTMENT OF BUSINESS AND PROFESSIONAL REGULATION LICENSEE DOWNLOAD FILES SITE DISCLAIMER <http://www.myfloridalicense.com/dbpr/sto/documents/disclaimer.pdf>
Super Pages Online: www.Superpages.com
Process Steps for Super Pages FL Homeowner's (HOA) and Condominium Association Locations:
-Searched for Homeowner's (HOA) and Condominium Association addresses in <http://www.superpages.com>
Selected Homeowner's (HOA) and Condominium Association addresses under following categories:
- Condominium Associations - Homeowners Associations
Process Steps for Yellow Pages Homeowner's (HOA) and Condominium Association Locations:
-Searched for Homeowner's (HOA) and Condominium Association oriented addresses in www.yellowpages.com -Selected Homeowner's (HOA) and Condominium Association oriented addresses under following categories:
Civic, Social, & Fraternal Associations - Condominium Associations (1461) - Homeowners Associations (400) - Neighborhood Associations (7) - Tenant Associations (1)
-All addresses from sections above were copied and pasted into a text file, which was then formatted so that it could be imported into Excel and converted to a database file format. Process Steps for Yellow Pages data: -The addresses were geocoded against ARC Logistics Route GDT Roads Shapefile created using FGDL Albers HPGN map projection (See "Map Projection Parameters" below).
GeoPlan Center Process Steps - AUG 2008 data collection: Condominium Association oriented facility locations were obtained from the Florida Department of Business & Professional Regulation Online: <http://www.myfloridalicense.com/dbpr/divisions.html>
Division of Florida Condominiums, Timeshares, and Mobile Homes Applicant / licensee download files Florida Condominiums, Timeshares, and Mobile Homes: Download files Online: <http://www.myfloridalicense.com/dbpr/sto/file_download/lsc_download.shtml>
The 5 regional .CSV files were downloaded and combined to create one .CSV file. The combine file was then turned into a .DBF file. This .DBF table was loaded into ArcMap and GeoCoded against a 2007 ARC Logistics Route GDT Roads Shapefile created using FGDL Albers HPGN map projection (See "Map Projection Parameters" below).
GeoPlan Center Process Steps - SEP 2008 data process:
-The SuperPages and YellowPages GeoCoded spatial data was then combined with the Florida Department of Business & Professional Regulation condominium data to create one statewide layer. -Added DESCRIPT field based on TYPE field. -Socio-Cultural Effect data fields and definitions were added. FLAG, UPDATE_DAY, AUTOID, NAME, ADDRESS, CITY, COUNTY, OPERATING, OP_CLASS, HOURS, SPECIAL, YR_BUILT, COMMON_USE, USE, USNG, FGDLAQDATE. -For facilities that previously existed the permanent auto identification number [auto id] was carried over from the 2005 SCE base data to the 2008 SCE updates. For new facilities autoids were created.
(A5) Some Information from the 2005 geocoded data set was retained; this data was retained for three reasons:
1. The Yellow Pages and Super Pages Online are paid advertising sites, some facilities may wish to discontinue their advertising with those companies but they may still exist at that address/location (i.e. Churches etc). 2. The address might have changed slightly (i.e. suite number, building number, or zip code) which may have affected the addresses ability to be geocoded with the 2008 GDT roads dataset. 3. The facility no longer exists.
Because facilities in reasons one and two may still exist in the real world all the 2005 geocoded features that were not reproduced in the 2008 geocode update were re-geocoded against the 2008 GDT roads dataset. These facilities were then added to the 2008 geocoded dataset. Facilities that are part of this scenario are represented with a value of 'NIN' (Not In New) in the field called FLAG.
Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials.
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>