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Data from Jan 2016 to Dec 2023
Last updated: 09 Jun 2025, 19:00 SGT
Source: GLOBAL SDG INDICATORS DATABASE
Data Last Updated: 21/08/2024
Update Frequency: Annual
Footnotes: The Smart Remitter Target (SmarRT) is calculated as the simple average as the three cheapest services for sending the equivalent of $200 in each corridor and is expressed in terms of the percentage of the total amount sent.Data are used for SDG 10.c.1 'Remittance costs as a proportion of the amount remitted'. Please refer to the Sustainable Development Goals (SDG) Global Metadata (https://unstats.un.org/sdgs/metadata) for more information on SDG 10.c.1.
Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M701181
Data Series Text | 2016 Text | 2023 Numeric | 2022 Numeric | 2021 Numeric | 2020 Numeric | 2019 Numeric | 2018 Numeric | 2017 Numeric |
---|---|---|---|---|---|---|---|---|
(Null)0.0% | (Null)5.3% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% |
Average Remittance Costs Of Sending US$200 From Singapore As A Proportion Of The Amount Remitted | na | 4.1 | 4.1 | 3.7 | 3.3 | 4 | 4.1 | 4.6 |
Received In Bangladesh | 2.3 | 9.2 | 8.8 | 3 | 2.1 | 2.5 | 3.5 | 3.1 |
Received In China | 7.2 | 4.2 | 3.3 | 4.3 | 6.3 | 8.2 | 7.1 | 7.6 |
Received In India | 2.8 | 2.2 | 2.1 | 3.2 | 1.8 | 3.8 | 2.2 | 2.7 |
Received In Indonesia | 4.9 | 3.3 | 3.3 | 3.5 | 2.9 | 3.6 | 4.2 | 4.1 |
Received In Malaysia | 5.1 | 3.9 | 5.8 | 5.7 | 4.6 | 4.5 | 5.1 | 6 |
Received In Pakistan | 13.8 | 5.3 | 4.8 | 5.2 | 4.2 | 7.3 | 12.2 | 11.1 |
Received In Philippines | 3 | 2.6 | 3 | 2.5 | 2.3 | 2.7 | 2.4 | 3.5 |
Received In Sri Lanka | 2.5 | 3.7 | 2.9 | 3 | 2.9 | 3.5 | 3.7 | 3.1 |
Received In Thailand | 5.5 | 4.6 | 4.8 | 4.8 | 5.3 | 5.1 | 5.5 | 5.4 |
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Title | Column name | Data type | Unit of measure | Description |
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Data Series | DataSeries | Text | Per Cent | - |
2016 | 2016 | Text | Per Cent | - |
2023 | 2023 | Numeric | Per Cent | - |
2022 | 2022 | Numeric | Per Cent | - |
2021 | 2021 | Numeric | Per Cent | - |
2020 | 2020 | Numeric | Per Cent | - |
2019 | 2019 | Numeric | Per Cent | - |
2018 | 2018 | Numeric | Per Cent | - |
2017 | 2017 | Numeric | Per Cent | - |
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_9a723439157ed2697a8759a1480a5d0e"
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.
22 Oct 2024
Free forever for personal or commercial use, under the Open Data Licence.