SDG 10-C-1: Remittance Costs as a % of the Amount Remitted

Data as of 2022

Annual data on remittance costs as a proportion of the amount remitted, as per the specifications of SDG Indicator 10-C-1.

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Remittance Costs

How is this data produced?

This dataset is tabulated from administrative records of cross-border transactions collected by the Central Bank of Malaysia, and subsequently reported to DOSM in aggregated form. It is collected as part of Malaysia's monitoring of the Sustainable Development Goals (SDGs), in line with the most recent SDG Global Indicator Framework

What caveats I should bear in mind when using this data?

The data is subject to revision in future updates.

Publication(s) using this data

Metadata

Dataset description

Annual data on remittance costs as a proportion of the amount remitted, as per the specifications of SDG Indicator 10-C-1.

Variable definitions
  • Date
  • Remittance Costs (%)
Last updated:

01 Sept 2024, 12:00

Next update:

N/A

Data source(s)
  • DOSM
  • BNM
License

This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.

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Data
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Code

Connect directly to the data with Python.

# If not already installed, do: pip install pandas fastparquet import pandas as pd URL_DATA = 'https://storage.dosm.gov.my/sdg/sdg_10-c-1.parquet' df = pd.read_parquet(URL_DATA) if 'date' in df.columns: df['date'] = pd.to_datetime(df['date']) print(df)

Sample OpenAPI query

The following code is an example of how to make an API query to retrieve the data catalogue mentioned above. You can use different programming languages by switching the code accordingly. For a complete guide on possible query parameters and syntax, please refer to the official Open API Documentation.

import requests import pprint url = "https://api.data.gov.my/data-catalogue?id=sdg_10-c-1&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)
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Department of Statistics Malaysia

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