Notes: RM 100

Data as of 31 Jul 2023, 23:59

Total value of RM 100 notes in circulation, in RM millions

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How is this data produced?

Bank Negara Malaysia (BNM) is the sole issuer of currency in Malaysia, and has a duty to ensure a sufficient supply of notes and coins at all times, including during festive seasons when demand for cash is higher than normal. Accordingly, BNM is able to track how much currency is in circulation at any given point in time.

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

Publication(s) using this data

This dataset is also published as part of BNM's monthly highlights and statistics.


Dataset description

Value of currency in circulation by denomination

Variable definitions
  • Date
  • Notes: RM 1
  • Notes: RM 2
  • Notes: RM 5
  • Notes: RM 10
  • Notes: RM 20
  • Notes: RM 50
  • Notes: RM 500
  • Notes: RM 1000
  • Notes: Other
  • Coins: 1 sen
  • Coins: 5 sen
  • Coins: 10 sen
  • Coins: 20 sen
  • Coins: 50 sen
  • Coins: RM 1 (coin)
  • Coins: RM 5 (coin)
  • Coins: Other
  • Notes: RM 100
Last updated:

31 Aug 2023, 23:59

Next update

30 Sept 2023, 23:59

Data source(s)
  • BNM

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


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Full Dataset (CSV)

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Full Dataset (Parquet)

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Recommended for data scientists seeking to work with data via code.



Connect directly to the data with Python.

# If not already installed, do: pip install pandas fastparquet import pandas as pd URL_DATA = '' 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 = "" response_json = requests.get(url=url).json() pprint.pprint(response_json)
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