Geodataset Name:       GC_ASSISTED_HOUSING_JUL13
Geodataset Type:       SHAPEFILE
Geodataset Feature:    Point
Feature Count:         2242

DATA SOURCE(S):                    University of Florida GeoPlan Center
SCALE OF ORIGINAL SOURCE MAPS:     Varies
GEODATASET EXTENT:                 State of Florida

PUBLICATION DATE:                  20130715
TIME PERIOD OF CONTENT:            Begin Date: 2012    End Date: 20130715
DOWNLOAD LINK:                     http://www.fgdl.org/metadataexplorer/explorer.jsp

FEATURE ATTRIBUTE TABLES:

Datafile Name: GC_ASSISTED_HOUSING_JUL13.DBF

FEATURE ATTRIBUTE TABLES CODES AND VALUES:

Item	Item Description
OBJECTID	Internal feature number.
Shape	Feature geometry.
Status	ESRI item which denotes the status of the geocoded address (whether it was matched or not). Only applicable to features which were gecoded.
Score	ESRI item which denotes the score with which the address was matched to a feature in the reference data. Only applicable to features which were geocoded.
Match_addr	ESRI item which denotes the full street layer address to which the address was matched. Only applicable to features which were grocoded.
Side	ESRI item which denotes the side of the street to which the address was matched (for geocoding service styles that can match an address to a particular side of a street). Records marked with an "*" have not been GeoCoded, these records have another type of spatial reference source. Only applicable to features which were geocoded.
SHIM_ID	Shimberg Center ID
NAME	The name of the development.
ADDRESS	The physical street address of the assisted housing facility.
CITY	The city in which the assisted housing facility is located.
ZIPCODE	The five digit Zip code for the assisted housing facility.
COUNTY	The name of the county the assisted housing facility is located in.
PHONE	The phone number of the assisted housing facility.
T_UNITS	Total units in the development.
A_UNITS	Total number of units with rent and/or income restrictions.
OCCSTATUS	The occupancy status of the assisted housing facility.
RDHUD_UNIT	USDA Rural development/HUD Rental Assistance Units
NUM_0BED	The number of units with 0 bedrooms. For properties with HUD Rental Assistance, the bedroom count is only available for the assisted units.
NUM_1BED	The number of units with 1 bedrooms. For properties with HUD Rental Assistance, the bedroom count is only available for the assisted units.
NUM_2BED	The number of units with 2 bedrooms. For properties with HUD Rental Assistance, the bedroom count is only available for the assisted units.
NUM_3BED	The number of units with 3 bedrooms. For properties with HUD Rental Assistance, the bedroom count is only available for the assisted units.
NUM_4BED	The number of units with 4 bedrooms. For properties with HUD Rental Assistance, the bedroom count is only available for the assisted units.
INC_35	Number of units for residents making less than or equal to 35% of the local median income. Florida Housing Finance Corporation imposes maximum income limits to determine the eligibility of tenants. The income limits are percentages of the area median income. The income limit distribution by units is based on best available data but may not in all cases reflect the actual distribution of units by income limit.
INC_40_50	Number of units for residents making between 40 and 50% of the local median income. Florida Housing Finance Corporation imposes maximum income limits to determine the eligibility of tenants. The income limits are percentages of the area median income. The income limit distribution by units is based on best available data but may not in all cases reflect the actual distribution of units by income limit.
INC_55_60	Number of units for residents making between 55 and 60% of the local median income. Florida Housing Finance Corporation imposes maximum income limits to determine the eligibility of tenants. The income limits are percentages of the area median income. The income limit distribution by units is based on best available data but may not in all cases reflect the actual distribution of units by income limit.
INC_65_80	Number of units for residents making between 65 and 80% of the local median income. Florida Housing Finance Corporation imposes maximum income limits to determine the eligibility of tenants. The income limits are percentages of the area median income. The income limit distribution by units is based on best available data but may not in all cases reflect the actual distribution of units by income limit.
INC_80	Number of units for residents making over 80% of the local median income. Florida Housing Finance Corporation imposes maximum income limits to determine the eligibility of tenants. The income limits are percentages of the area median income. The income limit distribution by units is based on best available data but may not in all cases reflect the actual distribution of units by income limit.
RD__FUND	The number of units with assistance from USDA's Rural Rental Assistance program.
HUD_FUND	The number of units with assistance from HUD's rental assistance program.
FHFC_FUND	The number of units with assistance from Florida Housing Finance Corporation.
LHFA_FUND	The number of units with assistance from a Florida Association of Local Housing Authority.
YR_BLT_FUD	Earliest Year Built/Year Funded.
HOUSINGPRG	Housing Program(s) associated with the development
POP_SERVED	The type of family served by the assisted housing facility.
OTYPE	Type of Ownership.
ONAME	Owner Name.
HUD_RA_EXP	HUD Rental Assistance Expiration. Where a rental assistance contract has an expired date, it is common that it was actually renewed but not yet reported as such, due to a HUD reporting lag that can be up to eight months.
GOVP_EXP	Overall Expiration Date of Governing Program. If a property has one funding layer, this is the year that the subsidy or period of affordability expires or can be terminated by the owner. If a property has multiple funding layers, several assumptions were made to decide on the most restrictive funding program in terms of income and/or rent restrictions; the year of expiration of the subsidy or period of affordability of the presumed most restrictive funding layer is reported as the overall expiration date.
REAC_SCR	REAC Score. For HUD properties, these are the physical inspection scores as assigned by HUD's Real Estate Assessment Center (REAC), and the date that each score was released. Scores are posted from most recent to least recent available from HUD. A score of 60 and above is considered a passing score. The letter 'a' is given if there are no health and safety (H & S) deficiencies; 'b' if there are one or more non-life threatening H & S deficiencies; and 'c' if there are one or more life-threatening H & S deficiencies, also known as exigent or fire safety deficiencies. An asterisk indicates a smoke detector deficiency.
RDATE	Release Date. For HUD properties, these are the physical inspection scores as assigned by HUD's Real Estate Assessment Center (REAC), and the date that each score was released. Scores are posted from most recent to least recent available from HUD. A score of 60 and above is considered a passing score. The letter 'a' is given if there are no health and safety (H & S) deficiencies; 'b' if there are one or more non-life threatening H & S deficiencies; and 'c' if there are one or more life-threatening H & S deficiencies, also known as exigent or fire safety deficiencies. An asterisk indicates a smoke detector deficiency.
DSOURCE	Data Source. Data Sources and Last Update Information for the Assisted Housing Inventory http://flhousingdata.shimberg.ufl.edu/docs/AHI_Sources_Last_Update_Chart.pdf
USNG_FL_1K	Facility's 1-kilometer United States National Grid (USNG) address. The USNG is an alpha-numeric reference system based on the UTM coordinate system and is similar to the Military Grid Reference System. Use of the USNG ensures a uniform grid mapping and positional reporting system for search and rescue, emergency planning, response, and recovery.
LAT_DD	Latitude in Decimal Degrees.
LONG_DD	Longitude in Decimal Degrees.
DESCRIPT	Based on NAME.
FLAG	Describes if the assisted housing location was visually verified or not. V = Feature is visually verified. NV = Feature is not visually verified.
UPDATE_DAY	The date the feature was updated.
FGDLAQDATE	The date GeoPlan acquired the data from the source.
AUTOID	Unique ID added by GeoPlan

USER NOTES:

This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology

This data is provided 'as is' by GeoPlan and is complete to our knowledge.

GeoPlan relied on the integrity of the attribute information within the original data.

The Florida Housing Data Clearinghouse (FHDC) was founded in 2000 to provide public access to data on Florida's housing needs and supply, subsidized rental housing, and household demographics. Sources of the data available from FHDC include the U.S. Census, other federal population and housing surveys, the U.S. Department of Housing and Urban Development, the U.S. Department of Agriculture Rural Housing Service, Florida Housing Finance Corporation, local housing finance authorities, Public Housing Agencies, the Florida Association of Realtors, the Florida Department of Revenue, the Florida Agency of Workforce Innovation, and the Bureau of Economic and Business Research at the University of Florida. The responsibilities of the Clearinghouse include the following: Creating a "warehouse" to store data for public use; Providing a Web site allowing user-friendly access to all data collected; Creating an inventory of federal, state, and locally subsidized housing. Preparing an Affordable Housing Needs Assessment for local governments to use in their comprehensive plans; Compiling neighborhood-level affordable housing data; Preparing an annual State of Florida's Housing report; Preparing a statewide rental market study for the Florida Housing Finance Corporation; Collecting and sharing data on the housing needs of Florida's special needs populations; and Promoting standard formats for collection and sharing of local housing data. The idea for FHDC originated with the state's Affordable Housing Study Commission and was brought into being by a workgroup that included representatives from local governments, regional entities, housing advocates, the Florida Home Builders Association, the Florida Association of Realtors, and state agencies. The Florida Housing Data Clearinghouse is jointly funded by the Florida Housing Finance Corporation (Florida Housing Trust Fund) and the Shimberg Center for Housing Studies at the University of Florida, and managed by the Shimberg Center. 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.

The data was created to serve as base information for use in GIS systems for a variety of planning and analytical purposes.

This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan

This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan

The Shimberg Center for Housing Studies has compiled information on housing and demographic information for the convenience of consumers, policy makers, planners, program administrators and other interested parties throughout Florida. The Shimberg Center is committed to ensuring that the data in the Florida Housing Data Clearinghouse are as accurate as possible, consistent with any limitations on the inherent accuracy of the original data sources. Although every effort has been made to ensure that information is comprehensive and accurate, errors and omissions may exist. The Clearinghouse and the information included therein is provided on an "as is" basis. The Shimberg Center for Housing Studies, the Florida Housing Data Clearinghouse, the University of Florida, or any of their respective faculty, staff, or administration specifically disclaim any warranty, either expressed or implied, including but not limited to the implied warranties of merchantability and fitness for a particular use. The entire risk as to quality and performance is with the user. Persons who notice information that is incomplete, incorrect, or out of date should contact the Shimberg Center at (800) 259-5705.

The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. 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

REFERENCES:

Florida Housing Data Clearinghouse: http://flhousingdata.shimberg.ufl.edu/index.html Assisted Housing Inventory - SUPER: Geographic Areas http://flhousingdata.shimberg.ufl.edu/a/ahi_super Data Sources and Last Update Information for the Assisted Housing Inventory http://flhousingdata.shimberg.ufl.edu/docs/AHI_Sources_Last_Update_Chart.pdf AHI USER GUIDE 2010 http://flhousingdata.shimberg.ufl.edu/AHI_User_Guide.html

DATA LINEAGE SUMMARY:

Assisted Housing Facility locations were obtained from the Florida Housing Data Clearinghouse (FHDC) Website on July 15th, 2013. Assisted Housing Inventory - SUPER: Geographic Areas http://flhousingdata.shimberg.ufl.edu/a/ahi_super ahi_super_2013_7_15_16_29.xls GeoPlan downloaded this data in an excel format and converted it to a .csv If a data field is not applicable for a property, this is indicated by a dash (-) in the data cell. If a data field is applicable but the data are not available for a property, this is indicated by the wording 'not avail.' in the data cell. The data field records that were populated with a ( - ) were replace by the statement NOT APPLICABLE The data field records that were populated with an ( x ) were replaced by the statement YES The data field records that were blank were replaced by the statement NO INFO The .CSV file was then converted to .DBF The dbf was then geocoded with the ArcGIS 10 built-in geocoder and converted into a shapefile with the FGDL Albers HPGN map projection. There were 2266 records downloaded with the original Excel spreadsheet. Fields were renamed and/or truncated to fit within the limitations of the DBF format. During the GeoCoding process 2,242 of these records were matched. Once the geocoding process was complete, each record was scrutinized using aerials and parcel data. Records that were visually verified were moved to the development's interior. Records for which no development could be visually verified were not moved and are denoted with a "NV" in the flag field. Of the 2,242 records that were successfully geocoded, 2159 were visually verified and moved. Once each point was moved the following tasks were undertaken: - All fields were uppercased - Added and calculated the USNG1K field - Added and calculated the LAT_DD field - Added and calculated the LONG_DD field - Added DESCRIPT based on NAME - Added and calculated the UPDATE_DAY field - Added FGDLAQDATE based on date downloaded from source Process Date: 20130715

MAP PROJECTION PARAMETERS:

Projection                          ALBERS
Datum                               HPGN
Units                               METERS
Spheroid                            GRS1980
1st Standard Parallel               24  0  0.000
2nd Standard Parallel               31 30  0.000
Central Meridian                   -84 00  0.000
Latitude of Projection's Origin     24  0  0.000
False Easting (meters)              400000.00000
False Northing (meters)             0.00000

DATA SOURCE CONTACT (S):

Name:
Abbr. Name:
Address:


Phone:

Web site:
E-mail:
Contact Person:
         Phone:
        E-mail:

University of Florida GeoPlan Center
GeoPlan
131 Architecture PO Box 115706
Gainesville, FL
32611-5706



http://flhousingdata.shimberg.ufl.edu/a/ahi_super
data@fgdl.org

Name:                   FLORIDA GEOGRAPHIC DATA LIBRARY
Abbr. Name:             FGDL
Address:                Florida Geographic Data Library
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                        PO Box 115706
                        Gainesville, FL  32611-5706
Web site:               http://www.fgdl.org

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