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Vessel Arrivals (>75 GT) Breakdown, Annual Data

Data from Jan 1995 to Jan 2023Updated 6 months ago

MPA (Maritime and Port Authority of Singapore)

Data explorer

VesselArrivals75GTBreakdownAnnualData.csv (232 rows, 6.6 KB)

Year
Year (YYYY)
Vessel Type
Text
Number of Vessels
Numeric
Gross Tonnage
Numeric
(Null)0.0%
19953.4%
19963.4%
19973.4%
19983.4%
(Null)0.0%
Tug12.5%
Barges12.5%
Tanker12.5%
Container12.5%
(Null)0.0%
(Null)0.0%
1995Container13477239053.32
1995Freighter1064848606.53
1995Bulk Carrier3985108028.26
1995Tanker15354240369.03
1995Passenger2951426804.7
1995Barges1648715339.59
1995Tug92781586.69
1995Miscellaneous527130784.41
1996Container15191274807.12
1996Freighter1021044500.33

Column legend

Title
Column name
Data type
Unit of measure
Description
YearyearYear (YYYY)--
Vessel Typevessel_typeText--
Number of Vesselsnumber_of_vesselsNumeric--
Gross Tonnagegross_tonnageNumeric--
Google colab link
Analyse this dataset with Colab Notebook
  1. 1. Copy this dataset ID: d_b0c64c019b252698a9f1a222dcf9e0a6
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Sample OpenAPI query

This code can be used to test a sample API query. It retrieves the data catalogue of this dataset. For a complete guide on query parameters and syntax, please refer to the API documentation. Try it out on your browser to see the response schema.

import requests
          
dataset_id = "d_b0c64c019b252698a9f1a222dcf9e0a6"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Citation

This dataset can be reused and cited in research publications.

Maritime and Port Authority of Singapore. (2017). Vessel Arrivals (>75 GT) Breakdown, Annual Data (2024) [Dataset]. data.gov.sg. Retrieved November 22, 2024 from https://data.gov.sg/datasets/d_b0c64c019b252698a9f1a222dcf9e0a6/view

About this dataset

Contact

norshazrin_ismail@mpa.gov.sg

Created on

30 Jun 2017

Licence

Free forever for personal or commercial use, under the Open Data Licence.

Agency

MPA (Maritime and Port Authority of Singapore)

Dataset usage

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Downloads
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API calls