20250306
13425000
1.0
FALSE
Railroads_NARN
002
446965.895114
638706.210780
1204151.498232
1395422.349942
1
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Florida_West_FIPS_0902_Feet
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.7'><WKT>PROJCS["NAD_1983_StatePlane_Florida_West_FIPS_0902_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",656166.6666666665],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-82.0],PARAMETER["Scale_Factor",0.9999411764705882],PARAMETER["Latitude_Of_Origin",24.33333333333333],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2237]]</WKT><XOrigin>-17791300</XOrigin><YOrigin>-41645400</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102659</WKID><LatestWKID>2237</LatestWKID></ProjectedCoordinateSystem>
20250513
22192200
20250513
22245800
500000
5000
NAP
Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595
Railroads_NARN
2025-05-13T00:00:00
1
-82.649323
-82.053934
28.172499
27.644890
The Federal Railroad Administration (FRA)
Hillsborough County, FL
This dataset provides a county-wide representation of the freight and passenger rail network to support transportation planning, infrastructure analysis, and cross-border coordination.
North American Rail Network (NARN)
https://fragis.fra.dot.gov/arcgis/rest/services/FRA/NARN/MapServer/0
INFRASTURCTURE
SAFETY
TRANSPORTATION
RAIL
NETWORK
PLANNING
LOCATION
REFERENCE
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This polyline dataset represents the North American Rail Network (NARN), a comprehensive geospatial layer of rail lines spanning Hillsborough County.</SPAN></P></DIV></DIV></DIV>
<DIV STYLE="text-align:Left;"><DIV><P><SPAN>Hillsborough County makes no warranty, representation or guarantee as to the content, sequence, accuracy, timeliness, or completeness of any of the information provided herein. The reader should not rely on the data provided herein for any reason. Hillsborough County explicitly disclaims any representations and warranties, including, without limitation, the implied warranties of merchantability and fitness for a particular purpose. Hillsborough County shall assume no liability for: 1. Any errors, omissions, or inaccuracies in the information provided regardless of how caused; or 2. Any decision made or action taken or not taken by any person in reliance upon any information or data furnished hereunder. This dataset is provided by Hillsborough County for informational purposes and Hillsborough County does not guarantee the accuracy or content of the data. Hillsborough County is not liable for any deficiencies in the dataset or analyses/applications using the dataset. This data should not be construed as legal advice or legal opinion on any specific facts or circumstances. The contents are intended for general information purposes only, and you are urged to consult your own lawyer concerning your own situation and any specific questions you may have. Infrastructure records, drawings, and other documents have been gathered over many decades, using differing standards for quality control, documentation and verification. All of the data provided represents current information in a readily available format. While the data is generally believed to be accurate, occasionally it proves to be incorrect; thus its accuracy is not warranted. Prior to making any property purchases or investments, or taking any other action based in full or in part upon the material provided, it is specifically advised that you independently field verify the information contained in county records.</SPAN></P></DIV></DIV>
Feature Class
dataset
EPSG
5.3(9.0.0)
497
Simple
FALSE
497
TRUE
FALSE
Railroads_NARN
Feature Class
497
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
FRAARCID
FRAARCID
Integer
4
10
0
FRFRANODE
FRFRANODE
Integer
4
10
0
TOFRANODE
TOFRANODE
Integer
4
10
0
STFIPS
STFIPS
String
2
0
0
CNTYFIPS
CNTYFIPS
String
3
0
0
STCNTYFIPS
STCNTYFIPS
String
5
0
0
STATEAB
STATEAB
String
2
0
0
COUNTRY
COUNTRY
String
2
0
0
RROWNER1
RROWNER1
String
4
0
0
RROWNER2
RROWNER2
String
4
0
0
RROWNER3
RROWNER3
String
4
0
0
TRKRGHTS1
TRKRGHTS1
String
4
0
0
TRKRGHTS2
TRKRGHTS2
String
4
0
0
TRKRGHTS3
TRKRGHTS3
String
4
0
0
TRKRGHTS4
TRKRGHTS4
String
4
0
0
TRKRGHTS5
TRKRGHTS5
String
4
0
0
TRKRGHTS6
TRKRGHTS6
String
4
0
0
TRKRGHTS7
TRKRGHTS7
String
4
0
0
TRKRGHTS8
TRKRGHTS8
String
4
0
0
TRKRGHTS9
TRKRGHTS9
String
4
0
0
SUBDIV
SUBDIV
String
50
0
0
YARDNAME
YARDNAME
String
30
0
0
PASSNGR
PASSNGR
String
1
0
0
STRACNET
STRACNET
String
1
0
0
TRACKS
TRACKS
Integer
4
10
0
DIRECTION
DIRECTION
SmallInteger
2
5
0
CARDDIRECT
CARDDIRECT
String
1
0
0
NET
NET
String
1
0
0
MILES
MILES
Double
8
38
8
KM
KM
Double
8
38
8
TIMEZONE
TIMEZONE
String
1
0
0
FRADISTRCT
FRADISTRCT
SmallInteger
2
5
0
DIVISION
DIVISION
String
50
0
0
BRANCH
BRANCH
String
50
0
0
IM_RT_TYPE
IM_RT_TYPE
String
10
0
0
DBLSTK
DBLSTK
String
10
0
0
SHAPE
SHAPE
Geometry
4
0
0
Feature geometry.
Esri
Coordinates defining the features.
SHAPE.STLength()
SHAPE.STLength()
Double
0
0
0
20250513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7DB12824-F085-4FDA-B428-7C373EB34690
external
6024ebf0cf071db5e21bfbd536ee577a
Hillsborough County
Performance, Data, & Analytics Department
Information & Innovation Office
601 E. Kennedy Blvd.
Tampa
FL
33602
GIS-Support@hillsboroughcounty.org
True
Hillsborough County