Data Resources (Public)

Reference datasets published by the Ministry of Health Malaysia (Kementerian Kesihatan Malaysia, KKM) covering public healthcare facilities and hospital bed, ICU and ventilator utilisation.

Data is distributed as plain, UTF-8 encoded CSV so it can be loaded directly into pandas, R, spreadsheets, GIS software, or any BI tool without preprocessing. These resources support the dashboards and analyses published on KKMNOW.

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Datasets

File	Rows	Grain	Description
facilities_master.csv	5,160	One facility	Master registry of public health facilities (hospitals, clinics, dental clinics, health offices, laboratories) with address and geocoordinates.
bedutil_facility.csv	149	One hospital	Bed, ICU and ventilator capacity and utilisation per hospital.
bedutil_state.csv	17	One state (+ Malaysia total)	State-level aggregate of the same bed / ICU / ventilator metrics.

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facilities_master.csv

Registry of 5,160 public facilities across all states and federal territories in Malaysia, as registered on 31 December 2025. All records are currently active (STATUS = BUKA) and carry full geocoordinates. Column names are retained in Bahasa Malaysia.

Column	Description
Index	Running row number.
KOD_FASILITI	Facility code (KKM identifier).
STATUS	Operational status (e.g. BUKA = open).
SEKTOR	Sector — AWAM (public).
SUBSEKTOR	Owning agency — KKM, KPT (higher education), ATM (armed forces).
PROGRAM_GROUP	Programme grouping (may be blank).
NEGERI	State / federal territory.
DAERAH	District.
KATEGORI_FASILITI	Facility category (KLINIK, KLINIK PERGIGIAN, HOSPITAL, PEJABAT KESIHATAN, MAKMAL, …).
JENIS_FASILITI	Facility type / sub-type.
NAMA	Facility name.
ALAMAT	Street address.
BANDAR	Town / city.
POSKOD	Postcode.
DAERAH_PENTADBIRAN	Administrative district.
TELEFON	Phone number.
EMEL	Email.
URBAN_RURAL	Urban / rural classification.
LATITUD	Latitude (WGS84, decimal degrees).
LONGITUD	Longitude (WGS84, decimal degrees).

Facility mix: ~2,915 clinics · ~1,682 dental clinics · ~166 hospitals · ~155 health offices · ~107 dental health offices · plus laboratories, health-promotion centres, state health departments and others.

bedutil_facility.csv / bedutil_state.csv

Bed and critical-care capacity and utilisation. bedutil_facility.csv is reported per hospital; bedutil_state.csv aggregates the same metrics by state, with a Malaysia grand-total row.

Column	Description
hospital / state	Hospital name (facility file) or state (state file).
beds_nonicu	Non-ICU bed count.
util_nonicu	Non-ICU bed utilisation (%).
beds_icu	ICU bed count.
util_icu	ICU bed utilisation (%).
vent	Ventilator count.
util_vent	Ventilator utilisation (%).

Blank cells indicate the metric was not reported for that facility.

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Usage

import pandas as pd

facilities = pd.read_csv("facilities_master.csv")

# Active hospitals in Selangor
selangor = facilities[
    (facilities["NEGERI"] == "SELANGOR")
    & (facilities["KATEGORI_FASILITI"] == "HOSPITAL")
    & (facilities["STATUS"] == "BUKA")
]

# Hospital-level bed utilisation
beds = pd.read_csv("bedutil_facility.csv")

facilities <- read.csv("facilities_master.csv")
beds       <- read.csv("bedutil_facility.csv")

Notes

• Files are UTF-8, comma-delimited, with a header row.
• Text fields (names, addresses) may be quoted and can contain embedded commas or line breaks — use a proper CSV parser rather than naive string splitting.
• Coordinates are WGS84 decimal degrees, suitable for direct plotting.

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Contributing

Corrections and updates are welcome. Please open an issue or submit a pull request describing the change and its source. Keep column names, encoding and file structure consistent with the existing datasets.

Attribution & Licence

Source: Ministry of Health Malaysia (Kementerian Kesihatan Malaysia). Use of this data is subject to the terms of this repository and applicable Government of Malaysia open data policies. Please attribute the Ministry of Health Malaysia when reusing these datasets.