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Economy

Merchandise Imports By Area, Annual

Data from Jan 1980 to Dec 2024

Last updated: 13 Jan 2026, 20:00 SGT

SINGSTAT (Singapore Department of Statistics)

Source: ENTERPRISE SINGAPORE

Data Last Updated: 17/01/2025

Update Frequency: Annual

Footnotes: Prior to 2003, merchandise trade data exclude Singapore's merchandise trade with Indonesia.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M450581

Data explorer

MerchandiseImportsByAreaAnnual.csv (6 rows, 2.7 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
1999
Numeric
1998
Text
1997
Text
1996
Text
1995
Text
1994
Text
1993
Text
1992
Text
1991
Text
1990
Text
1989
Text
1988
Text
1987
Text
1986
Text
1985
Text
1984
Text
1983
Text
1982
Text
1981
Text
1980
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)16.7%
(Null)16.7%
(Null)16.7%
(Null)16.7%
(Null)16.7%
(Null)16.7%
(Null)16.7%
(Null)16.7%
(Null)16.7%
(Null)16.7%
(Null)16.7%
(Null)16.7%
(Null)16.7%
(Null)16.7%
(Null)16.7%
(Null)16.7%
(Null)16.7%
(Null)16.7%
(Null)16.7%
America95346.585153.589386.166419.259017.669718.96657958006.551683.456281.264816.466237.463758.663804.959735.852205.36384855410.9534604374138847.13425732668.836868.637492.234796.634130.236297.433209.428855.925922.924168.421158.920143.81956418279.915191108478925928996069586859379587947
Asia407806.4379776.9456891.5379359312348.6323048.2332172.4307674.9273037.3282351.6317895.6324310.2331756.9321159.1292357.1237422.8314310.2279191.9269470.9237297.7205253.8162999.9139587.9134382.1156249.8120740.6105347.2124813.9117013.91161101034409005775004.873902.569598.460865.557272.345395.436654.638261.141570.840210.541412.441098.734463.2
Europe89635.786928.789403.881326.368666.481483.287925.475714.868789.273653.480390.183707.176407.875301.866603.560242.667336.756353.14939645528.843425.93484331003.230500.732722.928746.526709.43140330732.627460.923318.119497.718109.616942.517462.614943.613053.710131.68126.47883.97756.27610.57750.67086.37015.8
Oceania11721.710515.513289.311198.57984.69983.288157190.46435.68367.4111237877.17934.864946142.97092.58062.256276607.35685.34622.845305160.34682.14383.92845.22530.23098.33221.72909.72742.32740.22358.62468.624061884.4206815721229183917871405166715071387
Africa6849.34944.56465.27578.95450.35478.84702.23515335927494357.63438.92331.81528.31487.41411.11903.218211908.52060.82028.41440.313801258.61326.31012.61146.6992.71005.8977972.61139.6897.7737.6775890.6641469610545414693821598532
European Union59541.558729.959040.555865.146582.551930.854690.347725.545632.844267.747590.947770.950879.550333.444672.943113.249191.742057.236710.632623.432277.825261.921971.4213162314520617nanananananananananananananananananana

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-
Google colab link
Analyse this dataset with Colab Notebook
  1. 1. Copy this dataset ID: d_24b5128cc1626030f6bd3382ae898489
  2. 2. Click on the button below

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_24b5128cc1626030f6bd3382ae898489"
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). Merchandise Imports By Area, Annual (2026) [Dataset]. data.gov.sg. Retrieved April 15, 2026 from https://data.gov.sg/datasets/d_24b5128cc1626030f6bd3382ae898489/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)