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Data from Jan 2000 to Dec 2024
Last updated: 01 Apr 2026, 22:01 SGT
Source: SINGAPORE DEPARTMENT OF STATISTICS
Data Last Updated: 26/02/2026
Update Frequency: Annual
Footnotes: Figures presented in this table are compiled from the International Trade in Services (TIS) Survey. Please refer to Technical Notes (https://https://www.singstat.gov.sg/find-data/explore-data-themes/trade-investment/trade-in-services/our-data-explained) for more information on trade in services data sources and compilation methodology.
Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M060201
Data Series Text | 2024 Numeric | 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 Text | 2008 Numeric | 2007 Numeric | 2006 Numeric | 2005 Text | 2004 Text | 2003 Text | 2002 Text | 2001 Text | 2000 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)1.5% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)1.5% | (Null)2.9% | (Null)1.5% | (Null)1.5% | (Null)1.5% | (Null)4.4% |
| Asia | 196144.2 | 165589.6 | 176133.7 | 149789.6 | 118112.1 | 116279.7 | 104203.5 | 85095.5 | 70461.8 | 69881.1 | 62802.7 | 55949.9 | 50496.3 | 48318.2 | 46254.5 | 40325.3 | 43935.5 | 39789.5 | 33098 | 28070.4 | 25457.1 | 18942 | 17741.7 | 16226.5 | 15816.9 |
| Bangladesh | 837.9 | 910.2 | 904.3 | 674.8 | 581.8 | 642.4 | 664 | 547.7 | 482.6 | 424.3 | 384.3 | 347.5 | 349.1 | 333.5 | 272.6 | 209.3 | 264.8 | 284 | 285.5 | 274.6 | 188.9 | 157 | 118.3 | 121.8 | 89.7 |
| Brunei Darussalam | 983.6 | 859 | 891.4 | 578.5 | 533.5 | 556.5 | 496.1 | 463.9 | 420.5 | 465.4 | 520.4 | 474.4 | 464.1 | 468.5 | 508.1 | 324.4 | 272.6 | 248.3 | 120.6 | 123.3 | 138.6 | 151.4 | 144.3 | 97.8 | 100.5 |
| Cambodia | 404.4 | 417.4 | 387.2 | 253.4 | 250.4 | 259.1 | 290.4 | 226.8 | 196.1 | 114.3 | 86.3 | 89.2 | 115 | 109.2 | 78.4 | 99.3 | 139.7 | 88.1 | 110.8 | 77.1 | 68.7 | 45.3 | 37.9 | 29.8 | 18.4 |
| Hong Kong | 29163.9 | 20532.9 | 21468.9 | 18244.3 | 15192.7 | 11314.5 | 10471.3 | 8239.8 | 7351.8 | 7260 | 5841.4 | 5184.6 | 5156.3 | 5104.8 | 4928.8 | 4344.5 | 4676.6 | 4429.7 | 3555.3 | 2790.5 | 2313.7 | 2059.7 | 1912 | 1866.5 | 1860.6 |
| India | 11050.4 | 9423.8 | 9746 | 7815.3 | 6350 | 6391.1 | 5958.9 | 5326.4 | 4422.4 | 4236.4 | 4276 | 4857.4 | 4375 | 4244.7 | 4089.3 | 3712.2 | 3502.5 | 3191.3 | 2448.5 | 2084.6 | 1742.1 | 1241.4 | 907.6 | 735.4 | 746.8 |
| Indonesia | 7857.7 | 7766.8 | 8419.1 | 6310.5 | 5423.2 | 6841.7 | 5896.4 | 5616 | 5088.6 | 5032 | 4837.1 | 4535.8 | 4062.7 | 3537.8 | 3291.1 | 3642.6 | 3321.9 | 3026 | 2969.8 | 2364.4 | 2231.8 | 1767.5 | 1801.4 | 1707.5 | 1607.9 |
| Israel | 800.6 | 807 | 587.5 | 500.2 | 354.7 | 257.1 | 243.1 | 254.6 | 231.3 | 175.7 | 159.2 | 155.1 | 146.4 | 132 | 114.2 | 89.2 | 93.3 | 136.5 | 102.8 | 90.4 | 87.6 | 63 | 51.5 | 24.6 | 28.9 |
| Japan | 48325.1 | 43647.7 | 43083.2 | 38782.2 | 31188.6 | 29047.4 | 24426.7 | 19316.9 | 14737.9 | 13925.6 | 11259.2 | 9310.7 | 8251.8 | 7539.2 | 6650.2 | 5505.6 | 7332.4 | 7616.3 | 6959.5 | 5803.5 | 5596.5 | 3577.2 | 3235.7 | 3093.4 | 3255.6 |
| Kuwait | 418.6 | 344.5 | 284.1 | 198.2 | 170.3 | 229.1 | 174.2 | 148.6 | 270.9 | 237.2 | 192.6 | 213.1 | 182.6 | 114.6 | 142.9 | 108.5 | 122.1 | 67.1 | 77 | 38.8 | 28.3 | 10.5 | 10.1 | 8.7 | 10 |
No results found
Title | Column name | Data type | Unit of measure | Description |
|---|---|---|---|---|
| Data Series | DataSeries | Text | Million Dollars | - |
| 2024 | 2024 | Numeric | Million Dollars | - |
| 2023 | 2023 | Numeric | Million Dollars | - |
| 2022 | 2022 | Numeric | Million Dollars | - |
| 2021 | 2021 | Numeric | Million Dollars | - |
| 2020 | 2020 | Numeric | Million Dollars | - |
| 2019 | 2019 | Numeric | Million Dollars | - |
| 2018 | 2018 | Numeric | Million Dollars | - |
| 2017 | 2017 | Numeric | Million Dollars | - |
| 2016 | 2016 | Numeric | Million Dollars | - |
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_ae32bc57f36f0d99d2f892a1f3241a7b"
url = "https://data.gov.sg/api/action/datastore_search?resource_id=" + dataset_id
response = requests.get(url)
print(response.json())This dataset can be reused and cited in research publications.
17 Feb 2023
Free forever for personal or commercial use, under the Open Data Licence.