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Number of Passengers cleared at the checkpoints [Arrival and Departure]

Data from Jan 2004 to Jan 2022

Last updated: 06 Jun 2024, 15:28 SGT

ICA (Immigration and Checkpoints Authority)

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_e78db35440a41c0baff4e5f669532bd9"
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.

Immigration and Checkpoints Authority. (2016). Number of Passengers cleared at the checkpoints [Arrival and Departure] (2024) [Dataset]. data.gov.sg. Retrieved November 26, 2025 from https://data.gov.sg/datasets/d_e78db35440a41c0baff4e5f669532bd9/view

About this dataset

Contact

ICA_Data_Management@ica.gov.sg

Created on

06 Apr 2016

Licence

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

Agency

ICA (Immigration and Checkpoints Authority)

‌

Social

Number of Passengers cleared at the checkpoints [Arrival and Departure]

Data from Jan 2004 to Jan 2022

Last updated: 06 Jun 2024, 15:28 SGT

ICA (Immigration and Checkpoints Authority)

‌

Data explorer

NumberofPassengersclearedatthecheckpointsArrivalandDeparture.csv (19 rows, 499 B)

Year Year (YYYY)	Arrival Passengers Count Numeric	Depart Passengers Count Numeric
(Null)0.0%	(Null)0.0%	(Null)0.0%
2004	65460100	65682800
2005	66313400	66730100
2006	67870300	67801000
2007	72159800	71520400
2008	74419500	74216800
2009	74230400	74357500
2010	83361600	83262900
2011	91057300	91049800
2012	97915800	97864000
2013	101516800	101497400

Column legend

Title	Column name	Data type	Unit of measure	Description
Year	year	Year (YYYY)	-	-
Arrival Passengers Count	arrival_passengers_count	Numeric	-	-
Depart Passengers Count	depart_passengers_count	Numeric	-	-

Analyse this dataset with Colab Notebook

1. Copy this dataset ID: d_e78db35440a41c0baff4e5f669532bd9
2. Click on the button below