Contains physical information on commercial facilities at the principal U.S. Coastal, Great Lakes and Inland Ports. The data consists of listings of port area's waterfront facilities, including information on berthing, cranes, transit sheds, grain elevators, marine repair plants, fleeting areas, and docking and storage facilities. Collection of data is performed on a rotational basis to ensure on-site accuracy at each facility.
© The National Waterway Network was created on behalf of the Office of the Asistant Secretary for Research and Technology's Bureau of Transportation Statistics, the U.S. Army Corps of Engineers, the U.S. Bureau of Census, and the U.S. Coast Guard by Vanderbilt University and Oak Ridge National Laboratory. Additional agencies with input into network development include Volpe National Transportation Systems Center, Maritime Administration, Military Traffic Management Command, Tennessee Valley Authority, U.S. Environmental Protection Agency, and the Federal Railroad Administration. This layer is sourced from maps.bts.dot.gov.
The Navigation Data Center had several objectives in developing the U.S. Waterway Data. These objectives support the concept of a National Spatial Data Provide public access to national waterway data. Foster interagency and intra-agency cooperation through data sharing. Provide a mechanism to integrate waterway data (U.S. Army Corps of Engineers Port/Facility and U.S. Coast Guard Accident Data, for example) Provide a basis for intermodal analysis. Assist standardization of waterway entity definitions (Ports/Facilities, Locks, etc.). Provide public access to the National Waterway Network, which can be used as a basemap to support graphical overlays and analysis with other spatial data (waterway and modal network/facility databases, for example). Provide reliable data to support future waterway and intermodal applications.
© The National Waterway Network was created on behalf of the Office of the Asistant Secretary for Research and Technology's Bureau of Transportation Statistics, the U.S. Army Corps of Engineers, the U.S. Bureau of Census, and the U.S. Coast Guard by Vanderbilt University and Oak Ridge National Laboratory. Additional agencies with input into network development include Volpe National Transportation Systems Center, Maritime Administration, Military Traffic Management Command, Tennessee Valley Authority, U.S. Environmental Protection Agency, and the Federal Railroad Administration.
Layer containing the location of the ports of unloading of energy raw materials in Andalusia. It contains ports that are currently in operation, and include ports where coal, methane and oil are discharged or their products derived. Data updated quarterly.
Maryland Port Administration General Cargo Monthly Data for the MPA's public terminals (Souce: Internal MPA data)
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Brazil Infrastructure Investments: Ports: Public data was reported at 292.023 BRL mn in 2020. This records an increase from the previous number of 256.945 BRL mn for 2019. Brazil Infrastructure Investments: Ports: Public data is updated yearly, averaging 507.670 BRL mn from Dec 2002 (Median) to 2020, with 19 observations. The data reached an all-time high of 1,290.250 BRL mn in 2010 and a record low of 52.580 BRL mn in 2003. Brazil Infrastructure Investments: Ports: Public data remains active status in CEIC and is reported by Ministry of Development, Industry, Trade and Services. The data is categorized under Brazil Premium Database’s Investment – Table BR.OG002: Infrastructure Investments: by Sector: 2019 Prices.
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Egypt Number of Buildings: Census: With Access to Water: Public: Urban: Port Said data was reported at 30,335.000 Unit in 2017. This records an increase from the previous number of 17,195.000 Unit for 2006. Egypt Number of Buildings: Census: With Access to Water: Public: Urban: Port Said data is updated yearly, averaging 16,962.000 Unit from Dec 1986 (Median) to 2017, with 4 observations. The data reached an all-time high of 30,335.000 Unit in 2017 and a record low of 15,421.000 Unit in 1986. Egypt Number of Buildings: Census: With Access to Water: Public: Urban: Port Said data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.EB002: Number of Buildings: Census: With Access to Water.
This layer contains ports locations. This dataset brings together various public sources with WFP logistics information. It is updated regularly with inputs from WFP logistics but also from many partners through the Logistics Cluster and the Logistics Capacity Assessment (LCA: dlca.logcluster.org). The information is compiled at a global level by the Emergency and Preparedness Geospatial Information Unit at the World Food Programme (WFP) Headquarters in Rome, Italy.
This dataset is at a global scale and is updated country by country. The last update date can be retrieved from the data of the country of interest.
Feel free to contribute to this dataset by contacting hq.gis@wfp.org.
Le Conseil Général de la Gironde, concédant du Domaine Public Maritime Portuaire gère 22 ports départementaux situés sur l'estuaire de la Gironde et le Bassin d'Arcachon.
Au sens du transfert de compétences, les ports sont départementaux quand ils accueillent une activité professionnelle liée aux métiers maritimes.
Certains ports départementaux sont gérés en gestion directe par le département, d'autres sont concédés aux communes.Une convention de concession précise des modalités de gestion et d'exploitation entre le Conseil Général et le concessionnaire.
Or les ports font l'objet d'une délimitation réglementaire sur le Domaine Public Maritime.Cette délimitation est réalisée par les services de l’État et validés selon une procédure réglementaire complexe.
Lors du transfert de gestion des ports de l’État vers le Département, ce sont ces limites qui ont été prises en compte et dans lesquelles s'appliquent le pouvoir de police portuaire.
Le Département est donc investi du pouvoir de police portuaire (AIPP) dans les limites telles que représentées par ces données.
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United States Port Congestion: Calls: Eureka Public: Dry Breakbulk data was reported at 1.000 Unit in 03 Feb 2025. This stayed constant from the previous number of 1.000 Unit for 23 Dec 2024. United States Port Congestion: Calls: Eureka Public: Dry Breakbulk data is updated weekly, averaging 1.000 Unit from Mar 2022 (Median) to 03 Feb 2025, with 21 observations. The data reached an all-time high of 1.000 Unit in 03 Feb 2025 and a record low of 1.000 Unit in 03 Feb 2025. United States Port Congestion: Calls: Eureka Public: Dry Breakbulk data remains active status in CEIC and is reported by Marine Traffic. The data is categorized under Global Database’s United States – Table US.MT.PCN: Port Congestion: Calls: by Port and Vessel Type.
Data Updated 8/2019Data Update Frequency As needed
Data Contact Freight Operations & Permitting Services
Data Source ImageryData Owner Freight Operations & Permitting Services
Data Collection Method Image detection and classification
Projection WGS 1984 Web Mercator with Auxiliary Sphere
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License information was derived automatically
This bar chart displays public companies by city and is filtered where the company is Global Ports Holding. The data is about companies.
Within port boundaries, for its own management needs, the Department uses a sub-division for ports for which it has direct management.
These data are only for the 10 ports under direct management located on the Arcachon Basin.
As part of the same need, each port pier is identified thus constituting a sub-division.
The boundaries have no geographical value and only contribute to a better geographical identification of port infrastructure; in many cases they correspond to a historical division whose denomination is linked to the villages or so-called pre-existant places to the creation of ports.These boundaries are theoretically fully included within the boundaries of the Port Public Maritime Domain in which the Department exercises its police power.
All of these areas contribute to the numbering needs of plots allocated for temporary occupations (AOT).
This division has no regulatory value.
The Port Authority of New York and New Jersey quarterly produces a data file and provides information on count of the number of vehicles in the airport public parking lots. This dataset represents the number of cars parked in public parking lots at John F. Kennedy International Airport, LaGuardia Airport, Newark Liberty International Airport, and Stewart International Airport beginning in 2002.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This horizontal bar chart displays market cap ($) by CEO and is filtered where the company is Global Ports Holding. The data is about companies.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This bar chart displays public companies by CEO gender using the aggregation count and is filtered where the company is Global Ports Holding. The data is about companies.
Number of passengers on vessels are available in the sea passenger data collection.
https://assets.publishing.service.gov.uk/media/6696a857ab418ab055592691/port-and-domestic-waterborne-freight-table-information.ods">Port and domestic waterborne freight statistics: table index (ODS, 27.1 KB)
PORT0101: https://assets.publishing.service.gov.uk/media/672360b7bce643d1194f9994/port0101.ods">All freight tonnage traffic by port and year (filter by direction) (ODS, 243 KB)
PORT0102: https://assets.publishing.service.gov.uk/media/6698eaf1ce1fd0da7b5927e3/port0102.ods">All freight tonnage traffic, international and domestic by direction and year (ODS, 58 KB)
PORT0103: https://assets.publishing.service.gov.uk/media/6698eaf149b9c0597fdaff5c/port0103.ods">All unitised freight traffic by cargo type and year (ODS, 53 KB)
PORT0104: https://assets.publishing.service.gov.uk/media/6698eaf2ce1fd0da7b5927e4/port0104.ods">All main freight units traffic by route and year (ODS, 104 KB)
PORT0201: https://assets.publishing.service.gov.uk/media/6698eaf1fc8e12ac3edaff35/port0201.ods">Freight traffic cargo types by year (filter by direction and route) (ODS, 259 KB)
PORT0202: https://assets.publishing.service.gov.uk/media/6698eaf2a3c2a28abb50d1ef/port0202.ods">Unitised freight traffic cargo types by year (filter by direction and route) (ODS, 322 KB)
PORT0203: https://assets.publishing.service.gov.uk/media/6698eaf1fc8e12ac3edaff36/port0203.ods">Unitised main freight traffic by port, cargo type, metric and loaded status (filter by direction and year) (ODS, 560 KB)
PORT0204: https://assets.publishing.service.gov.uk/media/6698eaf2ce1fd0da7b5927e5/port0204.ods">International freight traffic by route and cargo type (filter by direction and year) (ODS, 3.97 MB)
PORT0205: https://assets.publishing.service.gov.uk/media/6698eaf3fc8e12ac3edaff37/port0205.ods">Freight traffic by top rou
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United States Port Congestion: Anchorage Stay Duration: Eureka Public: Dry Breakbulk data was reported at 0.800 Day in 23 Dec 2024. This records a decrease from the previous number of 3.000 Day for 25 Nov 2024. United States Port Congestion: Anchorage Stay Duration: Eureka Public: Dry Breakbulk data is updated weekly, averaging 0.250 Day from Mar 2022 (Median) to 23 Dec 2024, with 16 observations. The data reached an all-time high of 3.000 Day in 25 Nov 2024 and a record low of 0.100 Day in 11 Mar 2024. United States Port Congestion: Anchorage Stay Duration: Eureka Public: Dry Breakbulk data remains active status in CEIC and is reported by Marine Traffic. The data is categorized under Global Database’s United States – Table US.MT.PCN: Port Congestion: Anchorage Stay Duration: by Port and Vessel Type.
This is a raw and uncorrected dataset from a buoy located at the north end of Port Susan, near the mouth of the Stillaguamish River. The buoy is deployed in partnership with the Stillaguamish Tribe of Indians. This data has not been reviewed or corrected in any manner. It should be used with extreme caution as uncorrected data may lead to misinterpretation. Anomalies may occur as a result of naturally occurring phenomena or instrument error. Corrected data will be available at a future date. Special time considerations: Date and times have PST time zone applied. Time does not change with daylight savings. Geography: The mooring is located at Latitude 48.17505 and Longitude -122.4197 Disclaimer Marine mooring data provided by King County -- including meteorological and water quality data --are preliminary and have not received final approval. Most data are relayed by satellite or other telemetry and may have received little or no review. Inaccuracies in the data may be present because of instrument malfunctions or physical changes at the measurement site. Subsequent review may result in significant revisions to the data. Data users are cautioned to consider carefully the provisional nature of the information before using it for decisions that concern personal or public safety or the conduct of business that involves substantial monetary or operational consequences. Information concerning the accuracy and appropriate uses of these data may be obtained emailing the Program Managers at MarineWQ@kingcounty.gov.
https://www.etalab.gouv.fr/licence-ouverte-open-licencehttps://www.etalab.gouv.fr/licence-ouverte-open-licence
Détermine le contour administratif d'un port, sous la même autorité portuaire et regroupant une partie terrestre et une partie en eau.
description: The dataset is known as Border Crossing/Entry Data. The Bureau of Transportation Statistics (BTS) Border Crossing/Entry Data provides summary statistics to the public for incoming crossings at the U.S.-Canadian and the U.S.-Mexican border at the port level. Data are available for trucks, trains, containers, buses, personal vehicles, passengers, and pedestrians. Data fields are numeric counts and textual sequences. These data are collected by U.S. Customs and Border Protection (CBP) at individual ports of entry, then compiled and tabulated by staff of CBP's Office of Field Operations. CBP uses a mixture of manual and automated procedures to collect the data. The data reflect the number of vehicles, containers, passengers or pedestrians entering the United States. U.S. Customs and Border Protection does not collect comparable data on outbound crossings.; abstract: The dataset is known as Border Crossing/Entry Data. The Bureau of Transportation Statistics (BTS) Border Crossing/Entry Data provides summary statistics to the public for incoming crossings at the U.S.-Canadian and the U.S.-Mexican border at the port level. Data are available for trucks, trains, containers, buses, personal vehicles, passengers, and pedestrians. Data fields are numeric counts and textual sequences. These data are collected by U.S. Customs and Border Protection (CBP) at individual ports of entry, then compiled and tabulated by staff of CBP's Office of Field Operations. CBP uses a mixture of manual and automated procedures to collect the data. The data reflect the number of vehicles, containers, passengers or pedestrians entering the United States. U.S. Customs and Border Protection does not collect comparable data on outbound crossings.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
City-owned and leased facilities maintained in the City's Facility System of Record (FSR). This dataset was developed through a process involving some of the primary stewards for the facility data and their stakeholders. It is meant to be a living reference and will be maintained and updated through established workflows and processes over time. You can access the attached User Guide for more detail by clicking the red About button and scrolling to attachments.
Contains physical information on commercial facilities at the principal U.S. Coastal, Great Lakes and Inland Ports. The data consists of listings of port area's waterfront facilities, including information on berthing, cranes, transit sheds, grain elevators, marine repair plants, fleeting areas, and docking and storage facilities. Collection of data is performed on a rotational basis to ensure on-site accuracy at each facility.
© The National Waterway Network was created on behalf of the Office of the Asistant Secretary for Research and Technology's Bureau of Transportation Statistics, the U.S. Army Corps of Engineers, the U.S. Bureau of Census, and the U.S. Coast Guard by Vanderbilt University and Oak Ridge National Laboratory. Additional agencies with input into network development include Volpe National Transportation Systems Center, Maritime Administration, Military Traffic Management Command, Tennessee Valley Authority, U.S. Environmental Protection Agency, and the Federal Railroad Administration. This layer is sourced from maps.bts.dot.gov.
The Navigation Data Center had several objectives in developing the U.S. Waterway Data. These objectives support the concept of a National Spatial Data Provide public access to national waterway data. Foster interagency and intra-agency cooperation through data sharing. Provide a mechanism to integrate waterway data (U.S. Army Corps of Engineers Port/Facility and U.S. Coast Guard Accident Data, for example) Provide a basis for intermodal analysis. Assist standardization of waterway entity definitions (Ports/Facilities, Locks, etc.). Provide public access to the National Waterway Network, which can be used as a basemap to support graphical overlays and analysis with other spatial data (waterway and modal network/facility databases, for example). Provide reliable data to support future waterway and intermodal applications.
© The National Waterway Network was created on behalf of the Office of the Asistant Secretary for Research and Technology's Bureau of Transportation Statistics, the U.S. Army Corps of Engineers, the U.S. Bureau of Census, and the U.S. Coast Guard by Vanderbilt University and Oak Ridge National Laboratory. Additional agencies with input into network development include Volpe National Transportation Systems Center, Maritime Administration, Military Traffic Management Command, Tennessee Valley Authority, U.S. Environmental Protection Agency, and the Federal Railroad Administration.