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Economy

Trade In Services By Services Category, Annual

Data from Jan 2000 to Dec 2024Updated 30 days ago

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 24/02/2025

Update Frequency: Annual

Footnotes: Please refer to Technical Notes (https://www.singstat.gov.sg/-/media/files/find_data/trade-and-investment/notesinttrade.pdf) for more information on trade in services data sources and compilation methodology.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M060251

Data explorer

TradeInServicesByServicesCategoryAnnual.csv (51 rows, 12.9 KB)

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
Numeric
2008
Numeric
2007
Numeric
2006
Numeric
2005
Numeric
2004
Numeric
2003
Numeric
2002
Numeric
2001
Numeric
2000
Numeric
(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%
Total Trade In Services997749.8919117877252.5715093.5590035.1592824.3561271493353.8431109.3432922.3406020.8365055327866.3298227.8273929.7238962.6254282223936.4195966167532.8150911.1122427.9109710.5102892.596452.4
Exports Of Services528568.3481009.2468190.5382492.4300004.6307215.9287141.4241568211835.8210622.7194843.2177719.3161769.2150013136872.3117832126155110796.692674.875904.866795.852966.249936.346286.144854.8
Manufacturing Services On Physical Inputs Owned By Others471490.7685.5489.9236.8266.9370.3247.1284.8346.5424.4283.2249.6260.4289.5323.4452.1492.6534.7315353.2303.1369.5195202.4
Maintenance And Repair Services10820.11098110117.98833.58172.99663.3941077128418.59315.29853.110767.29053.19342.98648.49128.18354.66605.657014797.73450.52883.13071.82099.51755.3
Transport172971.1149537.41896491442209356094272.188888.869993.559213.464097.163918.857830.955586.35352352606.643365.751108.843642.835877.132435.128630.323343.221539.320497.920379.3
Freight145993.3124222.5167209.2130499.379857.976545.771746.454547.94587350798.150917.245929.442864.341416.741214.633042.638561.931104.62474821286.118702.315022.212656.812079.211595.5
Others26977.825314.922439.813720.713702.117726.417142.415445.613340.41329913001.611901.51272212106.31139210323.112546.912538.211129.111149992883218882.58418.78783.8
Travel31867.327886.115719.65399.17527.227754.727366.827477.526190.722845.524277.424063.323487.322551.219331.213417.715018.113663.511973.510334.58996.76706.47980.58312.48864.7
Insurance12649.811128.711493.39133.184388817.49484.86710.36076.85312.74241.53634.53396.63035.43317.72210.219421570.11254.11138967.5856.51001.9732.9925.4
Government Goods And Services477.3464.4444.3422411.9419.2413.5408.9404.8397395.3391.5382.8368.9359.9349.8348.1325.4320.2306.6284.5266.2246.7228.5212.7

Column legend

Title
Column name
Data type
Unit of measure
Description
Data SeriesDataSeriesTextMillion Dollars-
20242024NumericMillion Dollars-
20232023NumericMillion Dollars-
20222022NumericMillion Dollars-
20212021NumericMillion Dollars-
20202020NumericMillion Dollars-
20192019NumericMillion Dollars-
20182018NumericMillion Dollars-
20172017NumericMillion Dollars-
20162016NumericMillion Dollars-
20152015NumericMillion Dollars-
20142014NumericMillion Dollars-
20132013NumericMillion Dollars-
20122012NumericMillion Dollars-
20112011NumericMillion Dollars-
20102010NumericMillion Dollars-
20092009NumericMillion Dollars-
20082008NumericMillion Dollars-
20072007NumericMillion Dollars-
20062006NumericMillion Dollars-
20052005NumericMillion Dollars-
20042004NumericMillion Dollars-
20032003NumericMillion Dollars-
20022002NumericMillion Dollars-
20012001NumericMillion Dollars-
20002000NumericMillion Dollars-
Google colab link
Analyse this dataset with Colab Notebook
  1. 1. Copy this dataset ID: d_cde9e35f2fbd803a801ee9601b03fe6d
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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_cde9e35f2fbd803a801ee9601b03fe6d"
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. (2023). Trade In Services By Services Category, Annual (2025) [Dataset]. data.gov.sg. Retrieved May 6, 2025 from https://data.gov.sg/datasets/d_cde9e35f2fbd803a801ee9601b03fe6d/view

About this dataset

Contact

feedback@data.gov.sg

Created on

17 Feb 2023

Licence

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

Agency

SINGSTAT (Singapore Department of Statistics)