Tropical Cyclones in 2017 > Estimated Direct Economic Losses in Hong Kong caused by Super Typhoon Hato (1713)

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 Super Typhoon Hato from the following government departments, public utilities and other organizations between April and October 2019:

Agriculture, Fisheries and Conservation Department, Architectural Services Department, Building Services 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 Administrator, Highways Department, Home Affairs Department, Housing Department, Lands Department, Leisure and Cultural Services Department, Marine Department, Social Welfare Department, Water Supplies Department.

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, Hong Kong Railway Company Limited, Hong Kong Telecommunications Limited, Hong Kong Tramways Limited, International Global Communications Network (Hong Kong) Limited, Kowloon Motor Bus Company (1933) Limited, New World First Ferry Services Limited, Park Island Transport Company Limited, Peak Tramways Company Limited, Shun Tak China Travel Shipping Management Limited and the “Star” Ferry Company, Limited.

As of 31 October 2019, the losses reported from government departments, public utilities and other organizations amount to HK$ 97,036,855. 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 Super Typhoon Hato in Hong Kong are provided by the Hong Kong Federation of Insurers (HKFI) based on its member surveys. The statistics were collected from 54 insurance companies in Hong Kong, accounting for around 80% of the market share according to the Annual Statistics for General Business 2017 issued by the Insurance Authority. The insurance claims incurred as of March 2019 are as follows :

Adjusted by market share of the participating companies (80%), the insurance claims incurred by Hato is estimated to be (HK$ 838,973,952 + HK$ 47,301,608) / 80% = HK$ 1,107,844,450

2. Estimation of direct economic losses caused by Super Typhoon Hato

The estimated direct economic losses due to Hato 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 (B) insurance claims (adjusted by market share of companies participating in the survey):
= HK$ 97,036,855 + HK$ 1,107,844,450
= HK$ 1,204,881,305 (around HK$ 1.20 billion)

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.