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Vessel Arrivals By Type, Annual

Data from Jan 1987 to Dec 2023Last updated: 24 Oct 2024, 15:48 SGT

SINGSTAT (Singapore Department of Statistics)

Source: MARITIME AND PORT AUTHORITY OF SINGAPORE

Data Last Updated: 16/01/2024

Update Frequency: Annual

Footnotes: Refers to the number of vessels exceeding 75 Gross Tonnage that arrive at the Port of Singapore during the reference period.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M651381

Data explorer

VesselArrivalsByTypeAnnual.csv (18 rows, 5.5 KB)

Data Series
Text
2023
Numeric
2022
Numeric
2021
Numeric
2020
Numeric
2019
Numeric
2018
Numeric
2017
Numeric
2016
Numeric
2015
Numeric
2014
Numeric
2013
Numeric
2012
Numeric
2011
Numeric
2010
Numeric
2009
Numeric
2008
Numeric
2007
Numeric
2006
Numeric
2005
Numeric
2004
Numeric
2003
Numeric
2002
Numeric
2001
Numeric
2000
Numeric
1999
Numeric
1998
Numeric
1997
Numeric
1996
Numeric
1995
Numeric
1994
Text
1993
Text
1992
Text
1991
Text
1990
Text
1989
Text
1988
Text
1987
Text
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)88.9%
1011075.6%
6785605.6%
(Null)88.9%
926555.6%
6238415.6%
(Null)88.9%
813345.6%
5784955.6%
(Null)88.9%
703455.6%
5366185.6%
(Null)88.9%
603475.6%
4912005.6%
(Null)88.9%
491075.6%
4367105.6%
(Null)88.9%
448555.6%
4029605.6%
(Null)88.9%
425605.6%
3523605.6%
Total Number Of Vessel Arrivals121403100807872339685713829714076814514713899813292213488313941713042212799812729913057513169512856812892213031813318513538614274614626514538314152314092213033311772310401410110792655813347034560347491074485542560
Container1592414497133911561317514179081766317932177221721917798185671929018967180052058919946191611841517333161551641817049169711670617061162041519113477nananananananana
Freighter5613558553835775677370347427868679007591799081038530874282659702986495199822102831056810736956588569211977698991021010648nananananananana
Bulk Carrier17621149281491416401159331507516011169601656014803145301372213093122341187392808653791266365327529850975061429143224321437243973985nananananananana
Tanker2476324129243422635725059241652441123695220622221822617222302228021355200801946019312181951731517576170841692016504158851535314400167541639115354nananananananana
Passenger322331524817521107448121468144532941717388684193444492366183386331739321763366637261387764350247131496195397454016542515047848235375063270329514nananananananana
Barge7968839587546966814786749217949695581018610838106681063711972147781404711600127891290413947146511599518759199722119023080229342063616487nananananananana
Tug869891029887822393349964108871134310891111011173211102110651255115269137361177212561118531227412597137041523514874159111741716157125009278nananananananana
Miscellaneous8583892388106448741611134142029169936198319420941292409739101291121510160100099871931494149902100761028383526632650756955271nananananananana
Total Shipping Tonnage Of Vessel Arrivals30936762828364281376729026152854734279196627995852662695250415523711072326121225435321202821919408178466916210651459221131499011517911042447986392971745960093910180877127857655808305768521710573678560623841578495536618491200436710402960352360

Column legend

Title
Column name
Data type
Unit of measure
Description
Data SeriesDataSeriesTextNumber-
20232023NumericNumber-
20222022NumericNumber-
20212021NumericNumber-
20202020NumericNumber-
20192019NumericNumber-
20182018NumericNumber-
20172017NumericNumber-
20162016NumericNumber-
20152015NumericNumber-
Google colab link
Analyse this dataset with Colab Notebook
  1. 1. Copy this dataset ID: d_08a69bc2a6b804d0ac7a27230f0d5517
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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_08a69bc2a6b804d0ac7a27230f0d5517"
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.

Singapore Department of Statistics. (2024). Vessel Arrivals By Type, Annual (2024) [Dataset]. data.gov.sg. Retrieved June 1, 2025 from https://data.gov.sg/datasets/d_08a69bc2a6b804d0ac7a27230f0d5517/view

About this dataset

Contact

feedback@data.gov.sg

Created on

24 Oct 2024

Licence

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

Agency

SINGSTAT (Singapore Department of Statistics)