A Singapore Government Agency Website
Official website links end with .gov.sg
Government agencies communicate via .gov.sg websites (e.g. go.gov.sg/open). Trusted websites

Secure websites use HTTPS

Look for a lock () or https:// as an added precaution. Share sensitive information only on official, secure websites.

View results from GE2025 and explore the electoral boundaries and more in our interactive map.

HDB's Carpark Availability API will be unavailable due to upstream maintenance from 22 May 10:00 PM to 23 May 06:00 AM SGT. We apologize for any inconvenience this may cause.

We are aware that the ACRA business datasets are only updated up to April 2025 and are working with the ACRA team to update them. We apologise for any inconvenience caused in the process.

Singapore Merchandise Trade by Region/ Market (International Data 2013-2023)

Updated 7 months ago

SINGSTAT (Singapore Department of Statistics)

Source: ASEANSTATS DATA PORTAL

Data Last Updated: 18/09/2024

Update Frequency: Annual

Survey period: International Data 2013-2023

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17951

Data explorer

SingaporeMerchandiseTradebyRegionMarketInternationalData20132023.csv (260 rows, 61.8 KB)

Million US Dollars
Text
(2013) Total
Text
(2013) Export
Text
(2013) Import
Text
(2014) Total
Text
(2014) Export
Text
(2014) Import
Text
(2015) Total
Text
(2015) Export
Text
(2015) Import
Text
(2016) Total
Text
(2016) Export
Text
(2016) Import
Text
(2017) Total
Text
(2017) Export
Text
(2017) Import
Text
(2018) Total
Text
(2018) Export
Text
(2018) Import
Text
(2019) Total
Text
(2019) Export
Text
(2019) Import
Text
(2020) Total
Text
(2020) Export
Text
(2020) Import
Text
(2021) Total
Text
(2021) Export
Text
(2021) Import
Text
(2022) Total
Text
(2022) Export
Text
(2022) Import
Text
(2023) Total
Text
(2023) Export
Text
(2023) Import
Text
(Null)0.0%
(Null)8.8%
(Null)9.6%
(Null)8.8%
(Null)6.5%
(Null)8.1%
(Null)7.3%
(Null)6.5%
(Null)8.5%
(Null)6.9%
(Null)6.9%
(Null)9.2%
(Null)6.9%
(Null)6.5%
(Null)9.2%
(Null)7.7%
(Null)8.1%
(Null)8.8%
(Null)8.1%
(Null)8.5%
(Null)8.8%
(Null)8.5%
(Null)6.5%
(Null)9.2%
(Null)6.9%
(Null)6.9%
(Null)10.8%
(Null)6.9%
(Null)6.2%
(Null)9.2%
(Null)6.5%
(Null)6.2%
(Null)7.3%
(Null)6.5%
Merchandise Trade807988.7419936.7388051.9793292.6415377.8377914.8666003.8357905.9308097.9629992.6338083.2291909.4700945.8383252.4317693.4782656.9411973.3370683.6749953390689.9359263.2704420.8374824.8329596862846.2456805.2406041990117.4514873.7475243.7898811.9475915422896.8
ASEAN [00]216127.5137946.178181.4205968.8130198.775770.1172677.5107802.964874.5162108.199374.962733.2179035.9108088.970947200429.2121903.578525.7190476.4112026.678449.9174161.393997.380164214011.6121277.692734253969.7147185.3106784.4220406.2131638.488767.8
Brunei Darussalam [BN]1210.11154.855.31114882.5231.5915.1776.8138.2849.9766.483.41062.4757.2305.21401.3879.1522.21536.11113.14231577.9790787.92009.2746.11263.12777.6814.81962.82655.5829.41826.1
Cambodia [KH]6764.86582.1182.73916.93644.3272.63753.73593.6160.23798.124501348.13236.12978258.14889.34768.9120.34366.82277.22089.54159.815242635.868486615.1232.97980.17799.4180.73359.51998.71360.8
Indonesia [ID]63077.643647.719429.957533.238474.919058.444807.329614.115193.240585.926581.414004.543087.127952.915134.148254.232973.715280.542988.427377.715610.735456.52149413962.54395128758.715192.355363372021816151418.735408.616010.1
Lao PDR [LA]32.126.35.749.333.815.592.278.813.451.746.35.438.531.96.652.143.68.561.853.58.3121.226.894.487.962.725.1227.195.9131.196.468.527.9
Malaysia [MY]92766.351890.140876.289221.950150.339071.671737.638670.533067.267897.535640.63225778462.139616.238845.987697.944884.342813.682900.441184.641715.875270.933396.541874.595743.342072.453670.9110914.751540.459374.392162.244507.547654.7
Myanmar [MM]2430.12251.3178.82551.22390.5160.62578.22452.4125.82398.82271.9126.92630.12519111.129652766.9198.133423153.1188.92811.52697.7113.82697.92613.684.24238.74179.459.33018.62954.564.1
Philippines [PH]11783.26696.95086.311861.16866.54994.610943.66409.74533.911205.16507.64697.413020.27266.35753.915783.97968.57815.415636.88532.57104.314365.97460.36905.6172579155810219212.8108538359.814967.110066.94900.2
Singapore [SG]---------------------------------

Column legend

Title
Column name
Data type
Unit of measure
Description
Million US DollarsMillionUSDollarsTextMillion US Dollars-
(2013) Total2013_TotalTextMillion US Dollars-
(2013) Export2013_ExportTextMillion US Dollars-
(2013) Import2013_ImportTextMillion US Dollars-
(2014) Total2014_TotalTextMillion US Dollars-
(2014) Export2014_ExportTextMillion US Dollars-
(2014) Import2014_ImportTextMillion US Dollars-
(2015) Total2015_TotalTextMillion US Dollars-
(2015) Export2015_ExportTextMillion US Dollars-
(2015) Import2015_ImportTextMillion US Dollars-
(2016) Total2016_TotalTextMillion US Dollars-
(2016) Export2016_ExportTextMillion US Dollars-
(2016) Import2016_ImportTextMillion US Dollars-
(2017) Total2017_TotalTextMillion US Dollars-
(2017) Export2017_ExportTextMillion US Dollars-
(2017) Import2017_ImportTextMillion US Dollars-
(2018) Total2018_TotalTextMillion US Dollars-
(2018) Export2018_ExportTextMillion US Dollars-
(2018) Import2018_ImportTextMillion US Dollars-
(2019) Total2019_TotalTextMillion US Dollars-
(2019) Export2019_ExportTextMillion US Dollars-
(2019) Import2019_ImportTextMillion US Dollars-
(2020) Total2020_TotalTextMillion US Dollars-
(2020) Export2020_ExportTextMillion US Dollars-
(2020) Import2020_ImportTextMillion US Dollars-
(2021) Total2021_TotalTextMillion US Dollars-
(2021) Export2021_ExportTextMillion US Dollars-
(2021) Import2021_ImportTextMillion US Dollars-
(2022) Total2022_TotalTextMillion US Dollars-
(2022) Export2022_ExportTextMillion US Dollars-
(2022) Import2022_ImportTextMillion US Dollars-
(2023) Total2023_TotalTextMillion US Dollars-
(2023) Export2023_ExportTextMillion US Dollars-
(2023) Import2023_ImportTextMillion US Dollars-
Google colab link
Analyse this dataset with Colab Notebook
  1. 1. Copy this dataset ID: d_8a9fb1409830202a0b06c222ffabc36a
  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_8a9fb1409830202a0b06c222ffabc36a"
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). Singapore Merchandise Trade by Region/ Market (International Data 2013-2023) (2024) [Dataset]. data.gov.sg. Retrieved May 22, 2025 from https://data.gov.sg/datasets/d_8a9fb1409830202a0b06c222ffabc36a/view

About this dataset

Contact

feedback@data.gov.sg

Created on

28 Oct 2024

Licence

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

Agency

SINGSTAT (Singapore Department of Statistics)