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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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.
The data is subject to revision in future updates.
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Annual data on remittance costs as a proportion of the amount remitted, as per the specifications of SDG Indicator 10-C-1.
Name in Dataset | Variable | Definition |
---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with MM-DD set to 01-01 as the data is at annual frequency. |
value (Float) | Remittance Costs (%) | The cost of remittance as a percentage of the amount remitted. |
01 Sept 2024, 12:00
N/A
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.
Full Dataset (CSV)
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Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
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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)
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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