Hong Kong (China) vs Chinese Taipei: Getting electricity: System average interruption frequency index
Hong Kong (China)
0.19 DB16-20 methodology
in 2019
Chinese Taipei
0.23 DB16-20 methodology
in 2019
Hong Kong (China) rank
112th
Chinese Taipei rank
109th
Getting electricity: System average interruption frequency index over time
- Hong Kong (China)
- Chinese Taipei
How they compare
Chinese Taipei currently reports 0.23 DB16-20 methodology against 0.19 DB16-20 methodology in Hong Kong (China), a difference of 0.04 DB16-20 methodology.
That makes Chinese Taipei's figure about 1.2 times Hong Kong (China)'s.
Across all 6 years both countries report, Chinese Taipei has been ahead every year.
Hong Kong (China) ranks 112th and Chinese Taipei ranks 109th of 125 countries.
Chinese Taipei has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher getting electricity: system average interruption frequency index, Hong Kong (China) or Chinese Taipei?
- Chinese Taipei, at 0.23 DB16-20 methodology against 0.19 DB16-20 methodology in Hong Kong (China) as of 2019.
- What is the difference in getting electricity: system average interruption frequency index between Hong Kong (China) and Chinese Taipei?
- 0.04 DB16-20 methodology, with Chinese Taipei ahead.
- How many years of comparable data are there for Hong Kong (China) and Chinese Taipei?
- 6 years are reported by both, from 2014 to 2019.
- How do Hong Kong (China) and Chinese Taipei rank globally for getting electricity: system average interruption frequency index?
- Hong Kong (China) ranks 112th and Chinese Taipei ranks 109th of 125 countries.
- Where does this data come from?
- The World Bank, published as Getting electricity: System average interruption frequency index (SAIFI) (DB16-20 methodology). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The system average interruption frequency index (SAIFI) is the average number of service interruptions experienced by a customer in a year. The index is computed based on the methodology in the DB16-20 studies.