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This amount is equivalent to 0.05% of the country's nominal GDP, and is more than the losses suffered in the preceding year, Chief Statistician, Dato’ Sri Dr. Mohd Uzir Mahidin, said.
Malaysia's Department of Statistics released a special report on the impact of floods in the country for 2024 on 19 March 2025, revealing that the overall flood-related losses in that year amounted to RM933.4mn, which is more than that suffers in the preceding year (2023: RM755.4mn).
Chief Statistician Malaysia, Dato’ Sri Dr. Mohd Uzir Mahidin explained in a statement that this amount is equivalent to 0.05% of the nominal Gross Domestic Product (GDP), indicating a 0.01% increase compared to the year before.
"The highest losses were recorded in living quarters, surging to RM372.mn (2023: RM168.3 million), followed by public assets and infrastructure at RM303.4mn (2023: RM380.7mn)," he shared.
Here is a breakdown of the report, according to the following factors:
- Overall losses
- By state
- Highest district, and
- Type of damage.
Overall losses
Living quarters
2024: RM372.2mn
2023: RM168.3mn
Vehicles
2024: RM17.3mn
2023: RM22.3mn
Business premises
2024: RM54.1mn
2023: RM53.2mn
Manufacturing
2024: RM1.2mn
2023: RM10.3mn
Agriculture
2024: RM185.2mn
2023: RM120.6mn
Public assets & infrastructure
2024: RM303.4mn
2023: RM380.7mn
By state
The Chief Statistician shared that in terms of living quarters, Kelantan faced the most substantial losses amounting RM139mn. In addition, the state also incurred the highest business premises losses, totalling RM27.1mn.
- Kelantan — RM263.0mn
- Kedah — RM193.7mn
- Terengganu — RM182.0mn
- Johor — RM59.0mn
- Perak — RM57.2mn
- Pahang — RM37.3mn
- Sabah — RM36.8mn
- Sarawak —RM27.4mn
- Selangor — RM22.6mn
- Negeri Sembilan — RM20.5mn
- Melaka — RM8.9mn
- Pulau Pinang — RM8.7mn
- Kuala Lumpur — RM8.1mn
- Perlis — RM5.1mn
- Labuan — RM2.4mn
- Putrajaya — RM0.7mn
"The 2024 floods had a notable economic impact, with major losses concentrated in living quarters, public infrastructure, and agriculture. Kelantan, Terengganu, and Kedah experienced the most significant losses, particularly in housing and business premises, while vehicle and manufacturing losses remained relatively modest," the Chief Statistician shared.
Highest district
- Pasir Mas (RM58mn)
- Besut (RM46.2mn)
- Tumpat (RM38.6mn)
"Within Kelantan, Pasir Mas and Kota Bharu recorded the most substantial financial impact, with losses of RM9.8mn each, while Tumpat was RM5.0mn in damages."
"In Terengganu, Besut faced the largest losses, reporting RM6.4 million, followed by Setiu (RM2.9mn) and Dungun (RM1.9mn). Meanwhile, in Kedah, Kota Setar suffered the highest losses at RM2.8mn, with Baling and Pokok Sena incurring RM0.8mn and RM0.4mn, respectively."
"These figures highlight the economic risks associated with recurring floods and the need to enhance resilience. Moving forward, reinforcing adaptive infrastructure, improving flood defences, and optimising resource allocation will be key to safeguarding long-term economic resilience and stability.
Type of damage (three highest states)
Living quarters
- Kelantan: RM139.0mn
- Terengganu: RM103.1mn
- Kedah: RM54.0mn
Vehicles
- Terengganu: RM5.8mn
- Kelantan: RM4.0mn
- Kedah: RM2.1mn
Business premises
- Kelantan: RM27.1mn
- Terengganu: RM16.4mn
- Kedah: RM4.3mn
Manufacturing
- Kelantan: RM1.1mn
- Terengganu: RM0.07mn
Agriculture
- Kedah: RM118.2mn
- Kelantan: RM43.8mn
- Pahang: RM8.8mn
Public assets & infrastructure
- Teregganu: RM49.9mn
- Kelantan: RM48.1mn
- Perak: RM43.4mn
The Chief Statistician of Malaysia also revealed that over 45% of flood victims prepare for disasters by stocking up on essential daily supplies to ensure survival during emergencies.
"Additionally, 17% take protective measures by subscribing to insurance as financial security in the event of damage or loss. However, less than 0.1% choose not to have insurance coverage.
"Meanwhile, 25% of flood victims do not make any preparations, which may increase the risk of difficulties during and after the flood," he added.
Lead image and infographics / DOSM
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