Daily KTMB Ridership
Data as of 30 Mar 2025, 23:59Daily-frequency ridership data for the 5 main KTMB services, namely Komuter, Komuter Utara, Intercity, ETS and Shuttle Tebrau. The table and charts provide a preview of the data using the most recent 1 year of data, but you may download the data in full.
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How is this data produced?
This dataset is derived from anonymous transactional data generated by the KTMB Integrated Ticketing System (KITS). The aggregated daily totals are calculated by summing passenger counts across all origin-destination pairs for each service type (ETS, Intercity, Komuter, Komuter Utara, and Shuttle Tebrau), thus providing a snapshot of ridership across all KTMB services. As such, it is 100% consistent with the granular origin-destination data published on our site.
What caveats I should bear in mind when using this data?
It should be noted that the starting date is different across the different services, due to the phased roll-out of KITS, from which the data is derived.
Publication(s) using this data
Our site features a dashboard on KTMB ridership where you can explore this data in a more interactive manner.
Metadata
Dataset description
Daily-frequency ridership data for the 5 main KTMB services, namely Komuter, Komuter Utara, Intercity, ETS and Shuttle Tebrau. The table and charts provide a preview of the data using the most recent 1 year of data, but you may download the data in full.
Variable definitions
- Date
- Service
- Ridership
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | Date in YYYY-MM-DD format |
service (String) | Service | One of 5 services (Komuter, Komuter Utara, Intercity, ETS, Shuttle Tebrau) in lower snake case |
ridership (Integer) | Ridership | Number of trips taken using the service; it should be noted that this may not equal the number of passengers, as a single passenger may take multiple trips within the same day |
Last updated:
31 Mar 2025, 03:31
Next update:
01 Apr 2025, 03:45
Data source(s)
- Malayan Railways Limited
- Ministry of Transport
URLs to dataset
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
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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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.data.gov.my/transportation/ktmb/ridership_ktmb_daily.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=ridership_ktmb_daily&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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