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Tropical Cyclones in 2023 > Annex 1: Estimated Direct Economic Losses in Hong Kong caused by Typhoon Talim (2304), Super Typhoon Saola (2309), Severe Typhoon Haikui (2311) and rainstorm associated with its remnant, and Severe Typhoon Koinu (2314)

Tropical Cyclones in 2023

Annex 1 Estimated Direct Economic Losses in Hong Kong caused by Typhoon Talim (2304), Super Typhoon Saola (2309), Severe Typhoon Haikui (2311) and rainstorm associated with its remnant, and Severe Typhoon Koinu (2314)

1. Data collection

(A) Losses reported by government departments, public utility companies and other organizations

The Hong Kong Observatory conducted a survey to collect data on damages and economic losses caused by Typhoon Talim, Super Typhoon Saola, Severe Typhoon Haikui and rainstorm associated with its remnant, and Severe Typhoon Koinu from the following government departments, public utilities and other organizations between October 2023 and April 2024:

Government departments

Agriculture, Fisheries and Conservation Department, Architectural Services Department, Buildings Department, Civil Aviation Department, Civil Engineering and Development Department, Drainage Services Department, Electrical and Mechanical Services Department, Environmental Protection Department, Fire Services Department, Food and Environmental Hygiene Department, Government Property Agency, Highways Department, Home Affairs Department, Housing Department, Lands Department, Leisure and Cultural Services Department, Marine Department, Social Welfare Department, Water Supplies Department.

Public utility companies and other organizations

China Light and Power Company Limited, China Mobile Hong Kong Company Limited, City Bus Limited, Discovery Bay Transportation Services Limited, HGC Global Communications Limited, Hong Kong and China Gas Company Limited, Hong Kong Airport Authority, Hong Kong Broadband Network Limited, Hong Kong Electric Company Limited, Hong Kong Red Cross, Mass Transit Railway Corporation Limited, Hong Kong Telecommunications Limited, Hong Kong Tramways Limited, Reach Networks Hong Kong Limited, Kowloon Motor Bus Company (1933) Limited, Park Island Transport Company Limited, Sun Ferry Services Company Limited, Shun Tak China Travel Shipping Management Limited and the “Star” Ferry Company, Limited.

As of 30 April 2023, the losses reported from government departments, public utilities and other organizations are as follow:

 
The losses reported from government departments, public utilities and other organizations(HK$)
Typhoon Talim
756,562
Super Typhoon Saola
69,188,779
Severe Typhoon Haikui and rainstorm associated with its remnant
137,622,024
Severe Typhoon Koinu
1,307,735

To avoid double counting the insurance claims data in part (B), items with insurance claims covered have been excluded.


(B) Insurance claims data

The insurance claims statistics incurred by Typhoon Talim, Super Typhoon Saola, Severe Typhoon Haikui and rainstorm associated with its remnant, and Severe Typhoon Koinu in Hong Kong are provided by the Hong Kong Federation of Insurers (HKFI) based on its member surveys. Details of the statistics are as follows :

 
Number of insurance companies participated in the survey
Market share according to the Annual Statistics for General Business 2022 issued by the Insurance Authority
Typhoon Talim
43
65%
Super Typhoon Saola
47
67%
Severe Typhoon Haikui and rainstorm associated with its remnant
48
67%
Severe Typhoon Koinu
39
60%

(B1) Insurance claims data of Typhoon Talim

The insurance claims incurred as of 17 September 2023 are as follows :

 
Total claims incurred (HK$)
(i) Property Damage, Business Interruption and Contractors’ All Risks (CAR)
5,142,716
(ii) Employees’ Compensation (EC), Motor and Travel
2,012,059

Adjusted by market share of the participating companies (65%), the insurance claims incurred by Talim is estimated to be (HK$ 5,142,716 + HK$ 2,012,059) / 65% = HK$ 11,007,346

(B2) Insurance claims data of Super Typhoon Saola

The insurance claims incurred as of 1 November 2023 are as follows :

 
Total claims incurred (HK$)
(i) Property Damage, Business Interruption and Contractors’ All Risks (CAR)
241,670,928
(ii) Employees’ Compensation (EC), Motor and Travel
33,361,386

Adjusted by market share of the participating companies (67%), the insurance claims incurred by Saola is estimated to be (HK$ 241,670,928 + HK$ 33,361,386) / 67% = HK$ 410,495,992

(B3) Insurance claims data of Severe Typhoon Haikui and rainstorm associated with its remnant

The insurance claims incurred as of 7 November 2023 are as follows :

 
Total claims incurred (HK$)
(i) Property Damage, Business Interruption and Contractors’ All Risks (CAR)
955,901,252
(ii) Employees’ Compensation (EC), Motor and Travel
117,212,425

Adjusted by market share of the participating companies (67%), the insurance claims incurred by Severe Typhoon Haikui and rainstorm associated with its remnant are estimated to be (HK$ 955,901,252 + HK$ 117,212,425) / 67% = HK$ 1,601,662,205

(B4) Insurance claims data of Severe Typhoon Koinu

The insurance claims incurred as of 8 December 2023 are as follows :

 
Total claims incurred (HK$)
(i) Property Damage, Business Interruption and Contractors’ All Risks (CAR)
78,884,302
(ii) Employees’ Compensation (EC), Motor and Travel
5,708,699

Adjusted by market share of the participating companies (60%), the insurance claims incurred by Koinu is estimated to be (HK$ 78,884,302 + HK$ 5,708,699) / 60% = HK$ 140,988,334

2. Estimation of direct economic losses caused by Typhoon Talim, Super Typhoon Saola, Severe Typhoon Haikui and rainstorm associated with its remnant, and Severe Typhoon Koinu

The estimated direct economic losses due to Typhoon Talim in Hong Kong are considered to be the sum of (A) total reported losses of government departments, public utilities and other organizations (net of related insurance claims) and (B1) insurance claims (adjusted by market share of companies participating in the survey):
= HK$ 756,562 + HK$ 11,007,346
= HK$ 11,763,908 (around HK$ 12 million)

The estimated direct economic losses due to Super Typhoon Saola in Hong Kong are considered to be the sum of (A) total reported losses of government departments, public utilities and other organizations (net of related insurance claims) and (B2) insurance claims (adjusted by market share of companies participating in the survey):
= HK$ 69,188,779 + HK$ 410,495,992
= HK$ 479,684,771 (around HK$ 480 million)

The estimated direct economic losses due to Severe Typhoon Haikui and rainstorm associated with its remnant in Hong Kong are considered to be the sum of (A) total reported losses of government departments, public utilities and other organizations (net of related insurance claims) and (B2) insurance claims (adjusted by market share of companies participating in the survey):
= HK$ 137,622,024 + HK$ 1,601,662,205
= HK$ 1,739,284,229 (around HK$ 1.7 billion)

The estimated direct economic losses due to Severe Typhoon Koinu in Hong Kong are considered to be the sum of (A) total reported losses of government departments, public utilities and other organizations (net of related insurance claims) and (B2) insurance claims (adjusted by market share of companies participating in the survey):
= HK$ 1,307,735 + HK$ 140,988,334
= HK$ 142,296,069 (around HK$ 140 million)

3. Disclaimer

The estimated direct economic losses are based on the best available information from the responses of government departments, public utilities and other organizations to the survey conducted by the Hong Kong Observatory, statistics on insurance claims collected from the members of the Hong Kong Federation of Insurers and other relevant government reports at the time of assessment. The estimates are for reference only as the data collection are by no means exhaustive and may be subject to various limitations in the survey responses and analysis method.

Acknowledgement

The Hong Kong Observatory gratefully acknowledges the government departments, public utilities and other organizations involved in the survey, the Hong Kong Federation of Insurers for providing insurance claims, and the Census and Statistics Department for providing professional advice to the survey and analysis methods of economic losses