Geodataset Name:       TIGER_ROADS_2018
Geodataset Type:       SHAPEFILE
Geodataset Feature:    Polyline
Feature Count:         1752077
This dataset contains 2018 Florida Roads derived from the Census Bureau's TIGER/Line data (All Lines County-based Shapefiles). The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each TIGER/Line Shapefile is designed to stand alone as an independent data set or the shapefiles can be combined to cover the whole nation. The GeoPlan Center obtained the 2018 TIGER/Line data from the Census Bureau and extracted the roads network from the Census Bureau's MAF/TIGER county-based files. GeoPlan formatted the statewide roads dataset so that it may be used as a reference dataset in an address locator file, see the supplemental information section for more information on creating locator files. Please Note: This roads data layer is Not used in the FDOT ETDM project. This layer is an update to the FGDL layer TIGER_ROADS_2011.shp.
DATA SOURCE(S):                    U.S. Department of Commerce, U.S. Census Bureau, Geography Division
GEODATASET EXTENT:                 State of Florida
PUBLICATION DATE: 20180917 TIME PERIOD OF CONTENT: Begin Date: 2018 End Date: 20180917 DOWNLOAD LINK: http://www.fgdl.org/metadataexplorer/explorer.jsp


Datafile Name: TIGER_ROADS_2018.DBF
4 Geometry
8 Double
5 String
100 String
12 String
12 String
12 String
12 String
12 String
40 String
60 String
40 String
12 String
40 String
40 String
5 String
5 String
8 Double
8 Double
35 String
5 String
1 String
1 String
1 String
55 String
8 Double
100 String
5 String
36 Date
4 Integer
0 Double


Item Description
OBJECTID Internal feature number.

Shape Feature geometry.

TLID Permanent edge ID

MTFCC MAF/TIGER feature class code of the primary feature for the edge
S1100 = Primary Road

S1200 = Secondary Road

S1400 = Local Neighborhood Road, Rural Road, City Street

S1500 = Vehicular Trail (4WD)

S1630 = Ramp

S1640 = Service Drive usually along a limited access highway

S1710 = Walkway/Pedestrian Trail

S1720 = Stairway

S1730 = Alley

S1740 = Private Road for service vehicles (logging, oil, fields, ranches, etc.)

S1750 = Private Driveway

S1780 = Parking Lot Road

S1820 = Bike Path or Trail

S1830 = Bridle Path

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

LFROMADD From house number associated with the most inclusive address range on the left side of the edge

LTOADD To house number associated with the most inclusive address range on the left side of the edge

RFROMADD From house number associated with the most inclusive address range on the right side of the edge

RTOADD To house number associated with the most inclusive address range on the right side of the edge

ADDR_PD Roadway directional prefix. (N, S, E, W, NE, NW, SE, SW)

ADDR_PT Road name prefix type. Used for county, state and interstate road names, etc.

ADDR_SN Road Name Base (as in 'Smith' in 'N Smith Street').

ADDR_ST Type of road, i.e. St, Ave, Rd, Ln, etc.

ADDR_SD Roadway directional suffix. (N, S, E, W, NE, NW, SE, SW)

CITYL City name associated with the most inclusive address range on the left side.

CITYR City name associated with the most inclusive address range on the right side.

ZIPL ZIP code associated with the most inclusive address range on the left side

ZIPR ZIP code associated with the most inclusive address range on the right side

ZIPCODEL ZIP code associated with the most inclusive address range on the left side (Long Integer Format).

ZIPCODER ZIP code associated with the most inclusive address range on the right side (Long Integer Format).

COUNTY County name of line segment's centroid.

STATE State name of line segment's centroid.

DIVROAD Divided road flag
N = Not separated

Y = Separated

ROADFLG Road feature indicator.

DECKEDROAD Decked road indicator
A = Rail above

B = Rail below

H = Road above a different road (allow MTFCCs to vary)

N = Not Decked

R = One road split between several different levels (MTFCC cannot vary)

TYPE MTFCC field Description.

GCID The GeoPlan Center identification number.

DESCRIPT Based on the field FULLNAME in uppercase format..

FLAG Type of update that occurred.
CZ = City and Zip code fields were blank/null upon download. GeoPlan calculated the City and Zip code values for these records.

NV = Not Verified

V = Verified, the zip codes are original and the city associated is based off of the original zip code that came with the dataset.

FGDLAQDATE The date FGDL acquired the data from the Source.

AUTOID Unique ID added by GeoPlan

SHAPE.LEN Length in meters

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

Please Note:  This roads data layer is Not used in the FDOT ETDM project.


Tiger Line Shapefiles 2018 Technical Documentation
* http://www2.census.gov/geo/pdfs/maps-data/data/tiger/tgrshp2018/TGRSHP2018_TechDoc.pdf
* https://www2.census.gov/geo/pdfs/reference/mtfccs2018.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 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)

Create a locator (ArcGIS PRO)


The data was created to serve as base information for use in GIS systems 
for a variety of planning and analytical purposes.
In order for others to use the information in the Census MAF/TIGER database in a
geographic information system (GIS) or for other geographic applications, the 
Census Bureau releases to the public extracts of the database in the form of 
TIGER/Line Shapefiles.

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.

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

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.  

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.

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:

TIGER/Line Shapefiles and TIGER/Line Files

TIGER/Line FGDB Statewide files (Florida)

Additional TIGER Data:

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.

2018 TIGER/Line Shapefiles
All legal boundaries and names are as of January 1, 2018. Released September 28, 2018.

SOURCE: https://www.census.gov/geo/maps-data/data/tiger-line.html
Process Date: 20180917

GeoPlan Center Process Steps: GeoPlan downloaded the 2018 Census Bureau's TIGER/Line data for the State of Florida on February 8th, 2019 from the following FTP site. ftp2.census.gov/geo/tiger/TGRGDB18/tlgdb_2018_a_12_fl_edges.gdb.zip 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. ADDR_PD, ADDR_PT, ADDR_SN, ADDR_ST, ADDR_SD, CITYL, CITYR, ZIPCODEL, ZIPCODER, STATE, and COUNTY. Uppercased all fields except the original field FULLNAME. Please Note: This roads data layer is Not used in the FDOT ETDM project. Process Date: 20190213

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


Abbr. Name:


Web site:
Contact Person:
University of Florida GeoPlan Center
131 Architecture BLDG, PO Box 115706
Gainesville, FL

https://www.census.gov/geo/maps-data/data/tiger-line.html data@fgdl.org Kate Norris

Abbr. Name:             FGDL
Address:                Florida Geographic Data Library
                        431 Architecture Building
                        PO Box 115706
                        Gainesville, FL  32611-5706
Web site:               http://www.fgdl.org

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