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CSV Singapore Department of Statistics

Outbound Departures Of Singapore Residents By Mode Of Transport, Annual

Description

Annual outbound departures of Singapore residents by mode of transport from 1997 through 2025, compiled by the Singapore Department of Statistics from Immigration and Checkpoints Authority records. Travel and transport analysts compare air, land, and sea departure volumes to study outbound travel patterns. Adapted from SingStat TableBuilder TS/M650671.

Official description

Source: IMMIGRATION AND CHECKPOINTS AUTHORITY Data Last Updated: 22/01/2026 Update Frequency: Annual Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M650671

Download CSV View on data.gov.sg
Last updated
Coverage
1997-01-01 – 2025-12-31
Rows
3
Columns
30

Chart

Values are summed where multiple rows share the same category.

Data

Data Series 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997
Total 10674254.000000 10336102.000000 9388580.000000 5154428.000000 833107.000000 1543007.000000 10710717.000000 10378329.000000 9888852.000000 9474205.000000 9125331.000000 8902705.000000 8647066.000000 8047808.000000 7752926.000000 7342276.000000 6960724.000000 6828362.000000 6024130.000000 5533357.000000 5159403.000000 5164906.000000 4221464.000000 4398840.000000 4363077.000000 4443542.000000 3971180.000000 3744944.000000 3671149.000000
Air 8849615.000000 8839546.000000 7868161.000000 4218168.000000 526166.000000 1218531.000000 8584290.000000 8361380.000000 8100687.000000 7770593.000000 7371377.000000 7163778.000000 6960428.000000 6485268.000000 6082620.000000 5617110.000000 4959767.000000 4854604.000000 4151229.000000 3739542.000000 3441927.000000 2999368.000000 2344492.000000 2617452.000000 2476099.000000 2563346.000000 2315637.000000 2197759.000000 2391808.000000
Sea 1824639.000000 1496556.000000 1520419.000000 936260.000000 306941.000000 324476.000000 2126427.000000 2016949.000000 1788165.000000 1703612.000000 1753954.000000 1738927.000000 1686638.000000 1562540.000000 1670306.000000 1725166.000000 2000957.000000 1973758.000000 1872901.000000 1793815.000000 1717476.000000 2165538.000000 1876972.000000 1781388.000000 1886978.000000 1880196.000000 1655543.000000 1547185.000000 1279341.000000

Columns

Column Type Categorical
Data Series Text No
2025 Numeric No
2024 Numeric No
2023 Numeric No
2022 Numeric No
2021 Numeric No
2020 Numeric No
2019 Numeric No
2018 Numeric No
2017 Numeric No
2016 Numeric No
2015 Numeric No
2014 Numeric No
2013 Numeric No
2012 Numeric No
2011 Numeric No
2010 Numeric No
2009 Numeric No
2008 Numeric No
2007 Numeric No
2006 Numeric No
2005 Numeric No
2004 Numeric No
2003 Numeric No
2002 Numeric No
2001 Numeric No
2000 Numeric No
1999 Numeric No
1998 Numeric No
1997 Numeric No