20240117
10195600
1.0
FALSE
TIGER_ROADS_SLR
002
52944.320800
793929.086600
62269.903100
781559.809200
1
Projected
GCS_North_American_1983_HARN
Linear Unit: Meter (1.000000)
NAD_1983_HARN_Florida_GDL_Albers
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20251029
10391200
20251029
10391200
150000000
5000
FGDC
Kate Norris
University of Florida GeoPlan Center
131 Jonathan and Melanie Antevy Hall | PO Box 115706
Gainesville
FL
32611
US
data@fgdl.org
https://www.fgdl.org/
date@fgdl.org
Geospatial Data Manager
20251029
ArcGIS Metadata
1.0
0.000
Florida Geographic Data Library (FGDL)
Jonathan and Melanie Antevy Hall
1480 Inner Road, Room 431
PO Box 115706
Gainesville
FL
32611-5706
US
https://fgdl.org/info/contact/
None
DOWNLOADABLE DATA
https://www.fgdl.org/
Enterprise Geodatabase Feature Class
Roads (US Census Bureaus Tiger/Line) - Summarized Current and Future Flood Exposure from SLR in Florida - 2025
2025-09-26T00:00:00
vector digital data
State of Florida
University of Florida GeoPlan Center
UF GeoPlan Center
131 Jonathan and Melanie Antevy Hall | PO Box 115706
Gainesville
FL
32611
date@fgdl.org
US
data@fgdl.org
www.fgdl.org
Kate Norris
University of Florida GeoPlan Center
UF GeoPlan Center
131 Jonathan and Melanie Antevy Hall | PO Box 115706
Gainesville
FL
32611
date@fgdl.org
US
data@fgdl.org
www.fgdl.org
Kate Norris
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset shows a summary of the Census Bureau's TIGER/Line (2023) roadways exposed to future flooding from sea level rise (SLR) and current flooding from hurricane storm surge and floodplains.. Roads were analyzed for exposure to future flooding under twenty SLR scenarios (every half-foot of SLR, from 0.5-feet to 10-feet of SLR above mean higher high water). Roads were also analyzed for exposure to flooding from hurricane storm surge zones and FEMA floodplains. Current flood exposure and future SLR flood exposure was then summarized for the entire length of the original road and attributes were added to represent the percentage and feet of flooded roadway per flood scenario. The road segments are sourced from the U.S. Census Bureau's TIGER/Line data (All Lines County-based Shapefiles) this dataset is from December 5th, 2023.</SPAN></P><P><SPAN>Please Note: TIGER Roads segments classified as ramps were not included in the flood analysis. Elevated road segments, such as ramps, are often incorrectly identified as flooded. This is because the inundation models were created using a bare earth model DEM, which represents ground elevations. In cases of elevated roads, the DEM reports the land under the roadway and not the road surface. </SPAN></P></DIV></DIV></DIV>
This dataset shows a summary of the Census Bureau's TIGER/Line (2023) roadways exposed to future flooding from sea level rise (SLR) and current flooding from hurricane storm surge and floodplains. This dataset was created for the 2025 update of the Sea Level Scenario Sketch Planning Tool. The purpose of the Sea Level Scenario Sketch Planning Tool is to help identify transportation infrastructure vulnerable to current and future flood risks. The tool analyzes and visualizes current flood risks (100-year and 500-year floodplains and hurricane storm surge zones) as well as future flood risks using 2022 SLR scenarios from the National Oceanic and Atmospheric Administration (NOAA). The Tool includes a map viewer to visualize vulnerable infrastructure to flooding and GIS data layers available for download: https://sls.geoplan.ufl.edu/)
U.S. Department of Commerce, U.S. Census Bureau, Geography Division and University of Florida GeoPlan Center, and FDOT.
Kate Norris
University of Florida GeoPlan Center
131 Jonathan and Melanie Antevy Hall | PO Box 115706
Gainesville
FL
32611
US
data@fgdl.org
https://www.fgdl.org/
date@fgdl.org
Geospatial Data Manager
Kate Norris
Florida
2025
NONE
transportation
boundaries
NONE
Transportation, Sea Level Rise, Sea-Level Change, SLR, Flooding, Flood Hazard, Inundation, Sea Level Scenario Sketch Planning Tool, Roadways, Future, Vulnerability, FDOT, Tiger Line, Street Centerline, Road Feature, Roads
ISO 19115 Topic Categories
boundaries
transportation
Transportation
Florida
Sea Level Rise
SLR
2025
Flooding
Inundation
Sea Level Scenario Sketch Planning Tool
Roadways
Current
Future
Vulnerability
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This product has been compiled from source data from the U.S. Census Bureau's TIGER/Line dataset and SLR inundation layers from NOAA. However, this product is for reference purposes only and is not to be construed as a legal document or survey instrument. Any reliance on the information contained herein is at the user's own risk. The Florida Department of Transportation and the GeoPlan Center assumes no responsibility for any use of the information contained herein or any loss resulting therefrom.</SPAN></P></DIV></DIV></DIV>
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.
ESRI ArcCatalog 9.3.1.4000
true
-87.636318
-79.873000
31.042434
24.505970
State of Florida
publication date
2023-01-01T00:00:00
2025-09-26T00:00:00
Sea Level Scenario Sketch Planning Tool
https://sls.geoplan.ufl.edu/
NOAA Sea Level Rise Viewer Data Download
https://coast.noaa.gov/slrdata/
NOAA Sea Level Rise Viewer
https://coast.noaa.gov/slr/
---------------------------------------------------------
Tiger Line Shapefiles 2023 Technical Documentation
* https://www2.census.gov/geo/pdfs/maps-data/data/tiger/tgrshp2023/TGRSHP2023_TechDoc.pdf
* https://www2.census.gov/geo/pdfs/reference/mtfccs2022.pdf
1.2 What are TIGER/Line Shapefiles?
The TIGER/Line Shapefiles are the fully supported, core geographic product from the U.S. Census
Bureau. They are extracts of selected geographic and cartographic information from the U.S. Census
Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing
(MAF/TIGER) database. The shapefiles include information for the fifty states, the District of Columbia,
Puerto Rico, and the Island areas (American Samoa, the Commonwealth of the Northern Mariana
Islands, Guam, and the United States Virgin Islands). The shapefiles include polygon boundaries of
geographic areas and features, linear features including roads and hydrography, and point features. They
do not contain any sensitive data.
---------------------------------------------------------
Please Note: This dataset has been formatted so that it may be used as a Geocoding reference dataset in an address locator file. If you wish to create an address locator using this roads dataset please read the following Esri ArcGIS documentation:
Creating an address locator (ArcMap 10.6)
http://desktop.arcgis.com/en/arcmap/latest/manage-data/geocoding/creating-an-address-locator.htm
Create a locator (ArcGIS PRO)
http://pro.arcgis.com/en/pro-app/help/data/geocoding/create-a-locator.htm
---------------------------------------------------------
1
-87.636318
-79.872905
31.042434
24.505968
Varies
<DIV STYLE="text-align:Left;"><P><SPAN>The TIGER/Line Shapefile products are not copyrighted however TIGER/Line and Census TIGER are registered trademarks of the U.S. Census Bureau. These products are free to use in a product or publication, however acknowledgement must be given to the U.S. Census Bureau as the source. The horizontal spatial accuracy information present in these files is provided for the purposes of statistical analysis and census operations only. </SPAN></P><P><SPAN>Legal Disclaimer: No warranty, expressed or implied, is made with regard to the accuracy of the data in the TIGER/Line Shapefiles, and no liability is assumed by the United States Government in general, or the Census Bureau specifically, as to the positional or attribute accuracy of the data. The boundary information in the TIGER/Line Shapefiles is for statistical data collection and tabulation purposes only. Their depiction and designation for statistical purposes does not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal land descriptions. The TIGER/Line Shapefiles may not be suitable for high-precision measurement applications such as engineering problems, property transfers, or other uses that might require highly accurate measurements of the earth's surface. Coordinates in the TIGER/Line shapefiles have six implied decimal places, but the positional accuracy of these coordinates is not as great as the six decimal places suggest.</SPAN></P></DIV>
Kate Norris
University of Florida GeoPlan Center
131 Jonathan and Melanie Antevy Hall | PO Box 115706
Gainesville
FL
32611
US
data@fgdl.org
https://www.fgdl.org/
date@fgdl.org
Geospatial Data Manager
Kate Norris
There may be some inconsistencies in feature names along features. An anomaly
exists with the sporadic occurrence of road segments comprising a complete chain with different MAF/TIGER Feature Census Class Code (MTFCC) values assigned. This problem could affect applications that use the MTFCC values for network analysis, routing, or for assigning symbology to a feature when creating a map.
The Census Bureau performed automated tests to ensure logical consistency and limits of shapefiles. Node/geometry and topology relationships are collected or generated to satisfy topological edit requirements. These requirements include:
(1) Complete chains must begin and end at nodes.
(2) Complete chains must connect to each other at nodes.
(3) Complete chains do not extend through nodes.
(4) Left and right polygons are defined for each complete chain element and are consistent throughout the extract process.
(5) The chains representing the limits of the files are free of gaps.
Data completeness of the TIGER/Line Shapefiles reflects the contents of the Census MAF/TIGER database at the time the TIGER/Line Shapefiles were created.
The Census Bureau uses Global Positioning System (GPS) coordinates at road centerline intersections to evaluate the horizontal spatial accuracy of source files that may be used to realign road features in the MAF/TIGER database and test the horizontal spatial accuracy of the road features in the TIGER/Line Shapefiles.
The test compares a survey-grade GPS coordinate to its associated road centerline intersection in the TIGER/Line Shapefiles. The test is based on an independent collection of GPS coordinates for a random sample of road intersections from a centerline file that meet certain criteria. The points are referred to as the sample points and are gathered through a private contractor working for the Census Bureau. Since the collection method uses survey-quality GPS-based field techniques, the resulting control points are considered 'ground truth' against which the TIGER road centerline intersection coordinates are compared. The distances between the coordinates are calculated and the Census Bureau determines the Circular Error 95% (CE95). That is, the accuracy of the file in meters with 95% confidence. The CE95 can be calculated from the mean and standard deviation by using the formula: mean of differences plus (2.65 times the standard deviation). CE95 results reported for each file tested are determined using a spreadsheet with embedded statistical formula. The use and applicability of the spreadsheet and its embedded formula have been verified by Census Bureau statisticians. The basis of the calculation is the use of the root mean square error (RSME). This is the method as stated in the U.S. Government's Federal Geographic Data Committee Standard FGDC-STD-007.3-1998, Geospatial Positioning Accuracy Standards. Part 3: National Standard for Spatial Data Accuracy. The results of using this measure of accuracy are in compliance with Federal Spatial Data requirements. In terms of the Census Bureau application, the dataset coordinate values are those taken from the centerline file and the coordinate values from an independent source of higher accuracy are those acquired through the Census Bureau's contractor. Please note that the horizontal spatial accuracy, where reported, refers only to the
realigned road features identified as matched to the positionally accurate source file with that accuracy. It is not the spatial accuracy of the TIGER/Line Shapefile as a whole.
Spatial and Attribute Information
TIGER/Line Shapefiles are extracted from the Census MAF/TIGER database by nation, state, county, and entity. Census MAF/TIGER data for the nation, state, county, and entity are then distributed among 67-countywide shapefiles or 1-statewide FGDB for Florida. Each containing attributes for line, polygon, or landmark geographic data.
2023 TIGER/Line Shapefiles
All legal boundaries and names are as of January 1, 2023. Released November 22, 2023. Published on December 5th, 2023.
SOURCE: https://www.census.gov/geo/maps-data/data/tiger-line.html
2023-11-22T00:00:00
U.S. Census Bureau
N/A
Washington
DC
N/A
N/A
N/A
U.S. Census Bureau
GeoPlan Center Process Steps:
GeoPlan downloaded the 2023 Census Bureau's TIGER/Line data for the State of Florida on January 24th, 2024 from the following FTP site.
ftp2.census.gov/geo/tiger/TGRGDB23/tlgdb_2023_a_12_fl_edges.gdb.zip
tlgdb_2023_a_12_fl_edges.gdb\All_Lines
The Florida Tiger/Line data was downloaded in FGDB format at the statewide level.
The data was originally in the following projection:
North American Datum of 1983, GRS80, Decimal Degrees.
The Statewide layer was reprojected to the FGDL NAD83 HARN Albers projection.
Next a selection was performed on the statewide layer where the field [ROADFLG] = 'Y'
The roadway features were then extracted to create a new statewide roads layer.
Next the following fields were deleted to remove unused fields and decrease the size of the dataset.
STATEFP, TFIDL, TFIDR, SMID, FEATCAT, HYDROFLG, RAILFLG, ROADFLG,
OLFFLG, EXTTYP, TTYP, ARTPATH, PERSIST, GCSEFLG, OFFSETL, OFFSETR, TNIDF, and TNIDT.
Next the following fields were added and populated to help standardize the dataset for use as a reference layer in geocoding.
STPREDIR, STPRETYPE, STNAME, STTYPE, STDIR, CITYL, CITYR, COUNTY, STATE, and TYPE, GCID, DESCRIPT, FLAG, and FGDLAQDATE.
Uppercased all fields except the original field FULLNAME.
Please Note: This roads data layer is Not used in the FDOT ETDM project.
2024-01-24T00:00:00
Kate Norris
University of Florida GeoPlan Center
131 Jonathan and Melanie Antevy Hall | PO Box 115706
Gainesville
FL
32611
US
data@fgdl.org
https://www.fgdl.org/
date@fgdl.org
Kate Norris
Geospatial Data Manager
GeoPlan Center Current and Future Inundation Process Steps: 1) Regional SLR inundation depth grids, representing ½ feet to 10 feet of sea level rise (SLR) inundation over mean higher high water (MHHW), were downloaded in raster format from NOAA https://coast.noaa.gov/slrdata/. These NOAA depth grids were distributed in 11 regions for Florida in .tif format. After downloading all regions, GeoPlan converted the tifs to polygons and appended the regions together to create statewide vector layers of SLR inundation. Polygons with vertices counts over 350,000 were run through the Dice tool and the Repair Geometry tool was run 3x. 2) Overlay analysis using the 20 scenarios (0.5-feet increments of SLR, from 0.5-feet to 10.0-feet) was run on RCI Roads (On/Off, Basemap), Rails, Infrastructure, and Tiger Roads. For each dataset in each and scenario, the analysis resulted in line segments, representing flooded road and rail sections, and polygons, representing flooded areas within the infrastructure boundaries. 3) QA/QC was conducted for each output dataset. Minimum threshold sizes for flooded segments was 10-ft length and infrastructure area was 7.3 square meters (approximately 1 cell size). Data below this minimum threshold was considered dirty data and removed from the outputs.
4) Further QA/QC was conducted on the Roads and Rails datasets to identify segments over water (bridges or overpasses). Because of the bare earth DEM used to create the inundation depth grids, bridges and overpasses identified as flooded are most likely false positives – with the inundation representing the areas under the bridge approaches or overpasses. These segments were reviewed and largely removed from the outputs.
5) Each output dataset (flooded segments and infrastructure polygons) was summarized to calculate the total flooded amounts in each feature and then joined to the full Roadway, Rail or Infrastructure feature(s).
6) The datasets were also analyzed for current flood exposure by overlaying existing DFIRM 100 and 500-year floodplains data and hurricane storm surge data (with 5 hurricane categories).
Please Note: TIGER Roads segments classified as ramps were not included in the flood analysis. Elevated road segments, such as ramps, are often incorrectly identified as flooded. This is because the inundation models were created using a bare earth model DEM, which represents ground elevations. In cases of elevated roads, the DEM reports the land under the roadway and not the road surface.
2025-09-26T00:00:00
Kate Norris
University of Florida GeoPlan Center
131 Jonathan and Melanie Antevy Hall | PO Box 115706
Gainesville
FL
32611
US
data@fgdl.org
https://www.fgdl.org/
date@fgdl.org
Kate Norris
Geospatial Data Manager
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.
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.
0
1745713
TIGER_ROADS_SLR_SEP25
TIGER_ROADS_SLR_SEP25
GeoPlan
Feature Class
1745713
OBJECTID
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID
OID
4
10
0
Shape
Feature geometry.
ESRI
Coordinates defining the features.
SHAPE
Geometry
8
0
0
FULLNAME
Concatenation of expanded text for prefix qualifier, prefix direction, prefix type, base name, suffix type, suffix direction, and suffix qualifier (as available) with a space between each expanded text field
U.S. Census Bureau
data are unavailable
FULLNAME
String
100
0
0
TYPE
TYPE
String
55
0
0
MTFCC field definitions.
(MAF/TIGER feature class code definitions of the primary feature for the edge).
GeoPlan
SLR0_5FT
Feet Affected (0.5FT of SLR)
Integer
4
10
0
Feet Affected (0.5FT of SLR)
GeoPlan
SLR0_5FT_PCT
% Affected (0.5FT of SLR)
Integer
4
10
0
% Affected (0.5FT of SLR)
GeoPlan
SLR1FT
Feet Affected (1FT of SLR)
Integer
4
10
0
Feet Affected (1FT of SLR)
GeoPlan
SLR1FT_PCT
% Affected (1FT of SLR)
Integer
4
10
0
% Affected (1FT of SLR)
GeoPlan
SLR1_5FT
Feet Affected (1.5FT of SLR)
Integer
4
10
0
Feet Affected (1.5FT of SLR)
GeoPlan
SLR1_5FT_PCT
% Affected (1.5FT of SLR)
Integer
4
10
0
% Affected (1.5FT of SLR)
GeoPlan
SLR2FT
Feet Affected (2FT of SLR)
Integer
4
10
0
Feet Affected (2FT of SLR)
GeoPlan
SLR2FT_PCT
% Affected (2FT of SLR)
Integer
4
10
0
% Affected (2FT of SLR)
GeoPlan
SLR2_5FT
Feet Affected (2.5FT of SLR)
Integer
4
10
0
Feet Affected (2.5FT of SLR)
GeoPlan
SLR2_5FT_PCT
% Affected (2.5FT of SLR)
Integer
4
10
0
% Affected (2.5FT of SLR)
GeoPlan
SLR3FT
Feet Affected (3FT of SLR)
Integer
4
10
0
Feet Affected (3FT of SLR)
GeoPlan
SLR3FT_PCT
% Affected (3FT of SLR)
Integer
4
10
0
% Affected (3FT of SLR)
GeoPlan
SLR3_5FT
Feet Affected (3.5FT of SLR)
Integer
4
10
0
Feet Affected (3.5FT of SLR)
GeoPlan
SLR3_5FT_PCT
% Affected (3.5FT of SLR)
Integer
4
10
0
% Affected (3.5FT of SLR)
GeoPlan
SLR4FT
Feet Affected (4FT of SLR)
Integer
4
10
0
Feet Affected (4FT of SLR)
GeoPlan
SLR4FT_PCT
% Affected (4FT of SLR)
Integer
4
10
0
% Affected (4FT of SLR)
GeoPlan
SLR4_5FT
Feet Affected (4.5FT of SLR)
Integer
4
10
0
Feet Affected (4.5FT of SLR)
GeoPlan
SLR4_5FT_PCT
% Affected (4.5FT of SLR)
Integer
4
10
0
% Affected (4.5FT of SLR)
GeoPlan
SLR5FT
Feet Affected (5FT of SLR)
Integer
4
10
0
Feet Affected (5FT of SLR)
GeoPlan
SLR5FT_PCT
% Affected (5FT of SLR)
Integer
4
10
0
% Affected (5FT of SLR)
GeoPlan
SLR5_5FT
Feet Affected (5.5FT of SLR)
Integer
4
10
0
Feet Affected (5.5FT of SLR)
GeoPlan
SLR5_5FT_PCT
% Affected (5.5FT of SLR)
Integer
4
10
0
% Affected (5.5FT of SLR)
GeoPlan
SLR6FT
Feet Affected (6FT of SLR)
Integer
4
10
0
Feet Affected (6FT of SLR)
GeoPlan
SLR6FT_PCT
% Affected (6FT of SLR)
Integer
4
10
0
% Affected (6FT of SLR)
GeoPlan
SLR6_5FT
Feet Affected (6.5FT of SLR)
Integer
4
10
0
Feet Affected (6.5FT of SLR)
GeoPlan
SLR6_5FT_PCT
% Affected (6.5FT of SLR)
Integer
4
10
0
% Affected (6.5FT of SLR)
GeoPlan
SLR7FT
Feet Affected (7FT of SLR)
Integer
4
10
0
Feet Affected (7FT of SLR)
GeoPlan
SLR7FT_PCT
% Affected (7FT of SLR)
Integer
4
10
0
% Affected (7FT of SLR)
GeoPlan
SLR7_5FT
Feet Affected (7.5FT of SLR)
Integer
4
10
0
Feet Affected (7.5FT of SLR)
GeoPlan
SLR7_5FT_PCT
% Affected (7.5FT of SLR)
Integer
4
10
0
% Affected (7.5FT of SLR)
GeoPlan
SLR8FT
Feet Affected (8FT of SLR)
Integer
4
10
0
Feet Affected (8FT of SLR)
GeoPlan
SLR8FT_PCT
% Affected (8FT of SLR)
Integer
4
10
0
% Affected (8FT of SLR)
GeoPlan
SLR8_5FT
Feet Affected (8.5FT of SLR)
Integer
4
10
0
Feet Affected (8.5FT of SLR)
GeoPlan
SLR8_5FT_PCT
% Affected (8.5FT of SLR)
Integer
4
10
0
% Affected (8.5FT of SLR)
GeoPlan
SLR9FT
Feet Affected (9FT of SLR)
Integer
4
10
0
Feet Affected (9FT of SLR)
GeoPlan
SLR9FT_PCT
% Affected (9FT of SLR)
Integer
4
10
0
% Affected (9FT of SLR)
GeoPlan
SLR9_5FT
Feet Affected (9.5FT of SLR)
Integer
4
10
0
Feet Affected (9.5FT of SLR)
GeoPlan
SLR9_5FT_PCT
% Affected (9.5FT of SLR)
Integer
4
10
0
% Affected (9.5FT of SLR)
GeoPlan
SLR10FT
Feet Affected (10FT of SLR)
Integer
4
10
0
Feet Affected (10FT of SLR)
GeoPlan
SLR10FT_PCT
% Affected (10FT of SLR)
Integer
4
10
0
% Affected (10FT of SLR)
GeoPlan
TLID
Permanent edge ID
U.S. Census Bureau
100001
9999999999
TLID
Double
8
38
8
MTFCC
MAF/TIGER feature class code of the primary feature for the edge
U.S. Census Bureau
S1100
Primary Road
U.S. Census Bureau
S1200
Secondary Road
U.S. Census Bureau
S1400
Local Neighborhood Road, Rural Road, City Street
U.S. Census Bureau
S1500
Vehicular Trail (4WD)
U.S. Census Bureau
S1630
Ramp
U.S. Census Bureau
S1640
Service Drive usually along a limited access highway
U.S. Census Bureau
S1710
Walkway/Pedestrian Trail
U.S. Census Bureau
S1720
Stairway
U.S. Census Bureau
S1730
Alley
U.S. Census Bureau
S1740
Private Road for service vehicles (logging, oil, fields, ranches, etc.)
U.S. Census Bureau
S1750
Private Driveway
U.S. Census Bureau
S1780
Parking Lot Road
U.S. Census Bureau
S1820
Bike Path or Trail
U.S. Census Bureau
S1830
Bridle Path
U.S. Census Bureau
MTFCC
String
5
0
0
LFROMADD
From house number associated with the most inclusive address range on the left side of the edge
U.S. Census Bureau
data are unavailable
LFROMADD
String
12
0
0
LTOADD
To house number associated with the most inclusive address range on the left side of the edge
U.S. Census Bureau
data are unavailable
LTOADD
String
12
0
0
RFROMADD
From house number associated with the most inclusive address range on the right side of the edge
U.S. Census Bureau
data are unavailable
RFROMADD
String
12
0
0
RTOADD
To house number associated with the most inclusive address range on the right side of the edge
U.S. Census Bureau
data are unavailable
RTOADD
String
12
0
0
STPREDIR
STPREDIR
String
255
0
0
Roadway directional prefix. (N, S, E, W, NE, NW, SE, SW)
GeoPlan
STPRETYPE
STPRETYPE
String
255
0
0
Road name prefix type. Used for county, state and interstate road names, etc.
GeoPlan
STNAME
STNAME
String
255
0
0
Road Name Base (as in 'Smith' in 'N Smith Street').
GeoPlan
STTYPE
STTYPE
String
255
0
0
Type of road, i.e. St, Ave, Rd, Ln, etc.
GeoPlan
STDIR
STDIR
String
255
0
0
Roadway directional suffix. (N, S, E, W, NE, NW, SE, SW)
GeoPlan
CITYL
City name associated with the most inclusive address range on the left side.
GeoPlan
CITYL
String
35
0
0
CITYR
City name associated with the most inclusive address range on the right side.
GeoPlan
CITYR
String
35
0
0
STATE
STATE
String
2
0
0
State Abbreviation.
GeoPlan
COUNTY
County name of line segment's centroid.
GeoPlan
COUNTY
String
25
0
0
ZIPL
ZIP code associated with the most inclusive address range on the left side
U.S. Census Bureau
00500
99999
ZIPL
String
5
0
0
ZIPR
ZIP code associated with the most inclusive address range on the right side
U.S. Census Bureau
00500
99999
ZIPR
String
5
0
0
DIVROAD
Divided road flag
U.S. Census Bureau
N
Not separated
U.S. Census Bureau
Y
Separated
U.S. Census Bureau
DIVROAD
String
1
0
0
DECKEDROAD
Decked road indicator
U.S. Census Bureau
A
Rail above
U.S. Census Bureau
B
Rail below
U.S. Census Bureau
H
Road above a different road (allow MTFCCs to vary)
U.S. Census Bureau
N
Not Decked
U.S. Census Bureau
R
One road split between several different levels (MTFCC cannot vary)
U.S. Census Bureau
DECKEDROAD
String
1
0
0
LEN_FT
Length of Segment (Feet)
Integer
4
10
0
Length of Segment (Feet)
GeoPlan
DFIRM_YN
DFIRM_YN
String
5
0
0
In DFIRM Flood Hazard Area, Yes/No.
GeoPlan
DFIRM100FT
Feet in 100-Year Floodplain (DFIRM)
Integer
4
10
0
Feet in 100-Year Floodplain (DFIRM)
GeoPlan
DFIRM100PC
% 100-Year Floodplain (DFIRM)
Integer
4
10
0
% 100-Year Floodplain (DFIRM)
GeoPlan
DFIRM500FT
Feet in 500-Year Floodplain (DFIRM)
Integer
4
10
0
Feet in 500-Year Floodplain (DFIRM)
GeoPlan
DFIRM500PC
% 500-Year Floodplain (DFIRM)
Integer
4
10
0
% 500-Year Floodplain (DFIRM)
GeoPlan
DFIRMTOTFT
Feet in 100 & 500-Year Floodplain (DFIRM)
Integer
4
10
0
Feet in 100 & 500-Year Floodplain (DFIRM)
GeoPlan
DFIRMTOTPC
% 100 & 500-Year Floodplain (DFIRM)
Integer
4
10
0
% 100 & 500-Year Floodplain (DFIRM)
GeoPlan
CAT_1_FT
Feet Affected Category 1
Integer
4
10
0
Feet Affected Category 1
GeoPlan
CAT_1_PC
% Affected Category 1
Integer
4
10
0
% Affected Category 1
GeoPlan
CAT_2_FT
Feet Affected Category 2
Integer
4
10
0
Feet Affected Category 2
GeoPlan
CAT_2_PC
% Affected Category 2
Integer
4
10
0
% Affected Category 2
GeoPlan
CAT_3_FT
Feet Affected Category 3
Integer
4
10
0
Feet Affected Category 3
GeoPlan
CAT_3_PC
% Affected Category 3
Integer
4
10
0
% Affected Category 3
GeoPlan
CAT_4_FT
Feet Affected Category 4
Integer
4
10
0
Feet Affected Category 4
GeoPlan
CAT_4_PC
% Affected Category 4
Integer
4
10
0
% Affected Category 4
GeoPlan
CAT_5_FT
Feet Affected Category 5
Integer
4
10
0
Feet Affected Category 5
GeoPlan
CAT_5_PC
% Affected Category 5
Integer
4
10
0
% Affected Category 5
GeoPlan
NOTES
NOTES
String
100
0
0
SLR QAQC Reviewer Notes.
GeoPlan
LEN_FT_DOUBLE
LEN_FT_DOUBLE
Double
8
38
8
Length in Feet (Decimal)
GeoPlan
GCID
GeoPlan ID
Integer
4
10
0
GeoPlan Center Unique Identification Number.
GeoPlan
SOURCE_DATE
SOURCE_DATE
Date
8
0
0
The date GeoPlan acquired the Source data from the original source.
GeoPlan
DESCRIPT
DESCRIPT
Based on the field FULLNAME in uppercase format..
GeoPlan
String
255
0
0
FLAG
Type of update that occurred for the Geocoding Reference section of the table.
GeoPlan
FLAG
String
5
0
0
FGDLAQDATE
The date GeoPlan acquired the data from the source.
GeoPlan
FGDLAQDATE
Date
8
0
0
AUTOID
AUTOID
Integer
4
10
Unique ID added by GeoPlan. This field is for historic tracking of features.
0
SHAPE.LEN
SHAPE.LEN
Double
0
0
Length of feature in internal units
0
dataset
EPSG
6.12(9.2.0)
8D387493-126F-466B-BE17-FAD01256DE53
Kate Norris
University of Florida GeoPlan Center
131 Jonathan and Melanie Antevy Hall | PO Box 115706
Gainesville
FL
32611
US
data@fgdl.org
https://www.fgdl.org/
date@fgdl.org
Geospatial Data Manager
Kate Norris
Simple
FALSE
1745713
TRUE
FALSE
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