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Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_UTM_Zone_16N
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ItemDescription
National Bridge and Tunnel Inventory Team
Federal Highway Administration (FHWA)
202-366-5658
1200 New Jersey Ave. SE
Washington
DC
20590
United States
NBTIS_Support@dot.gov
20251105
Bureau of Transportation Statistics
NTAD Program Manager
none
1200 New Jersey Ave. SE
Washington
DC
20590
US
ntad@dot.gov
None. No fees are applicable for obtaining the dataset.
Open Data Catalog
1.0
Hosted Downloads
Web page to view and download dataset. The file download formats available include: ESRI File Geodatabase, Shapefile, GeoPackage, Comma-Seperated Values (CSV), Microsoft Excel, GeoJSON, KML, Feature Collection, and SQLite Geodatabase.
ZIP
https://doi.org/10.21949/1522168
Bureau of Transportation Statistics
NTAD Program Manager
none
1200 New Jersey Ave. SE
Washington
DC
20590
US
ntad@dot.gov
None. No fees are applicable for obtaining the dataset.
ArcGIS REST Services Directory Feature Server (WFS)
11.5
https://ienccloud.us/arcgis/sdk/rest/index.html#/Feature_Service/02ss0000007v000000/
complies with OGC WFS Map Service for visualizing geospatial information
https://doi.org/10.21949/1522170
File Geodatabase Feature Class
National Tunnel Inventory
2019-07-01
2025-09-02
Federal Highway Administration (FHWA)
vector digital data
National Transportation Atlas Database
<DIV STYLE="text-align:Left;"><DIV><P><SPAN>The National Tunnel Inventory dataset was compiled on September 02, 2025 and published on August 26, 2025 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The National Tunnel Inventory (NTI) is a collection of information (database) describing the more than 500 of the Nation's tunnels located on public roads, including Interstate Highways, U.S. highways, State and county roads, as well as publicly-accessible tunnels on Federal lands. The inventory data present a complete picture of the location, description, and classification data for each tunnel, as well as any load rating and inspection information. The Specifications for the National Tunnel Inventory (SNTI) contains a detailed description of each data element including coding instructions and attribute definitions. The Coding Manual is published for each year of data collection; the manual is available at: https://doi.org/10.21949/1519104. For additional questions regarding regulations for the National Tunnel Inventory or the Coding Guide please contact the National Bridge and Tunnel Inventory team at NBTIS_Support@dot.gov. For questions on the geospatial component of the dataset, contact the NTAD team at NTAD@dot.gov. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529051</SPAN></P><P><SPAN>Data subset to TN on 11/5/2025</SPAN></P></DIV></DIV>
Data in the NTI is used to meet legislative reporting requirements and provide tunnel owners, the Federal Highway Administration (FHWA) and the general public with information on the number and condition of the Nation’s tunnels.
Acknowledgment of the Federal Highway Administration (FHWA) and the Bureau of Transportation Statistics (BTS) [distributor].
National Bridge and Tunnel Inventory Team
Federal Highway Administration (FHWA)
202-366-5658
1200 New Jersey Ave. SE
Washington
DC
20590
United States
NBTIS_Support@dot.gov
USA
National
ISO 19115 Topic Category
transportation
NTAD
National Transportation Atlas Database
Transportation
Atlas
Database
vector
point
Inventory
Tunnel Element
Element
Tunnel
Tunnels
Condition
transportationUSANationalNTADNational Transportation Atlas DatabaseTransportationAtlasDatabasevectorpointInventoryTunnel ElementElementTunnelTunnelsCondition
<DIV STYLE="text-align:Left;"><DIV><P><SPAN>This NTAD dataset is a work of the United States government as defined in 17 U.S.C. § 101 and as such are not protected by any U.S. copyrights. This work is available for unrestricted public use.</SPAN></P></DIV></DIV>
This NTAD dataset is a work of the United States government as defined in 17 U.S.C. § 101 and as such are not protected by any U.S. copyrights. This work is available for unrestricted public use.
National Transportation Atlas Database
2025-09-02
Bureau of Transportation Statistics
true
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60.78565999990886
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2025-08-26
Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362
Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.
23 CFR 650 Subpart E (National Tunnel Inspection Standards) requires that States, federal agencies, and tribal governments maintain an inventory of all public highway tunnels within their jurisdiction, and submit that data to the Federal Highway Administration (FHWA) annually or as requested. Tunnels that are not federally or tribally owned (i.e. local or privately owned tunnels) are submitted by the State. Regulation requires data to be submitted March 15th of each year, though there may be updates throughout the year. The dataset is archived on December 31st and typically published in January.
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A data dictionary resource of attribute information is accessible at https://doi.org/10.21949/1529051
National_Tunnel_Inventory_Export
Feature Class
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OBJECTID
OBJECTID
OID
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Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
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Feature geometry.
Esri
Coordinates defining the features.
tunnel_num
tunnel_num
String
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tunnel_nam
tunnel_nam
String
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state_code
state_code
String
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year
year
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federal_ag
federal_ag
String
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county_cod
county_cod
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place_code
place_code
String
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highway_di
highway_di
String
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route_numb
route_numb
String
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route_dire
route_dire
String
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route_type
route_type
String
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facility_c
facility_c
String
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lrs_route_
lrs_route_
String
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lrs_mile_p
lrs_mile_p
Double
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portal_lat
portal_lat
Double
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portal_lon
portal_lon
Double
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border_sta
border_sta
String
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border_fin
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border_tun
border_tun
String
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border_ins
border_ins
String
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year_built
year_built
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year_rehab
year_rehab
Integer
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total_numb
total_numb
Integer
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adt_a4
adt_a4
Integer
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0
0
adtt_a5
adtt_a5
Integer
4
0
0
year_of_av
year_of_av
Integer
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0
0
detour_len
detour_len
Integer
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0
0
service_in
service_in
Integer
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0
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owner_c1
owner_c1
Integer
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0
0
operator_c
operator_c
Integer
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0
0
direction_
direction_
Integer
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0
0
toll_c4
toll_c4
Integer
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0
0
nhs_design
nhs_design
Integer
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strahnet_d
strahnet_d
Integer
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0
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functional
functional
Integer
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0
0
urban_code
urban_code
Integer
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0
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tunnel_len
tunnel_len
Integer
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0
0
min_vert_c
min_vert_c
Double
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0
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roadway_wi
roadway_wi
Double
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0
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left_sidew
left_sidew
Double
8
0
0
right_side
right_side
Double
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0
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routine_in
routine_in
Date
8
0
0
actual_rou
actual_rou
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0
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routine__1
routine__1
Integer
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0
0
in_depth_i
in_depth_i
Integer
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damage_ins
damage_ins
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special_in
special_in
Integer
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0
0
load_ratin
load_ratin
String
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inventory_
inventory_
Double
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operating_
operating_
Double
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tunnel_loa
tunnel_loa
String
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posting_lo
posting_lo
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0
0
posting__1
posting__1
Integer
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posting__2
posting__2
Integer
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posting__3
posting__3
Integer
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0
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posting__4
posting__4
Integer
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0
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height_res
height_res
Integer
4
0
0
hazardous_
hazardous_
Integer
4
0
0
other_rest
other_rest
Integer
4
0
0
under_navi
under_navi
Integer
4
0
0
navigable_
navigable_
Double
8
0
0
tunnel_or_
tunnel_or_
Integer
4
0
0
number_of_
number_of_
Integer
4
0
0
tunnel_sha
tunnel_sha
Integer
4
0
0
portal_sha
portal_sha
Integer
4
0
0
ground_con
ground_con
Integer
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0
0
complex_s5
complex_s5
Integer
4
0
0
submitted_
submitted_
String
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state
state
String
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tunnel_n_1
tunnel_n_1
String
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element_nu
element_nu
Integer
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epn
epn
Integer
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0
0
total_quan
total_quan
Integer
4
0
0
condition_
condition_
Integer
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condition1
condition1
Integer
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0
0
conditio_1
conditio_1
Integer
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0
0
conditio_2
conditio_2
Integer
4
0
0
dataset
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FALSE
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