Annual Currency in Circulation

Data as of 2023

The value of currency in circulation by denomination, for instance RM 1, RM 5, RM 10.

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Value in Circulation

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. That data is summarised in this dataset at annual frequency.

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

Bank Negara Malaysia commenced the issue of Malaysian currency on 12 June 1967. Accordingly, although not caveats per se, it is helpful to bear the following dates in mind when analysing currency in circulation.

With respect to notes in circulation:

  1. The RM500 and RM1,000 banknotes were demonetised on 1 July 1999.
  2. The second banknote series of RM1, RM5, RM10, RM20, RM50, RM100, RM500 and RM1,000 was issued from 1982.
  3. The third banknote series of RM1, RM2, RM5, RM10, RM50 and RM100 was issued from 1996.
  4. The fourth banknote series of RM50 was issued from 2009, with the corresponding fourth series of RM1, RM5, RM10, RM20 and RM100 issued from 16 July 2012.

With respect to coins:

  1. The one ringgit coin ceased to be legal tender on 7 December 2005.
  2. The second coin series of 1sen, 5sen, 10sen, 20sen, 50sen and RM1 was issued from 1989.
  3. The third coin series of 1sen, 5sen, 10sen, 20sen, and 50sen was issued from 16 January 2012.

Publication(s) using this data

Our site features a dashboard on currency in circulation. This dataset is also published as part of BNM's monthly highlights and statistics.


Dataset description

The value of currency in circulation by denomination, for instance RM 1, RM 5, RM 10.

Variable definitions
  • Date
  • Denomination
  • Value in Circulation
Last updated:

29 Feb 2024, 15:00

Next update:

28 Feb 2025, 15:00

Data source(s)
  • BNM

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)

Full Dataset (CSV)

Recommended for individuals seeking an Excel-friendly format.


Full Dataset (Parquet)

Full Dataset (Parquet)

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)