Hong Kong, China vs Switzerland: Getting electricity: System average interruption frequency index
Hong Kong, China
0.19 DB16-20 methodology
in 2019
Switzerland
0.18 DB16-20 methodology
in 2019
Hong Kong, China rank
112th
Switzerland rank
114th
Getting electricity: System average interruption frequency index over time
- Hong Kong, China
- Switzerland
How they compare
Hong Kong, China currently reports 0.19 DB16-20 methodology against 0.18 DB16-20 methodology in Switzerland, a difference of 0.01 DB16-20 methodology.
That makes Hong Kong, China's figure about 1.1 times Switzerland's.
The two have swapped places 2 times across 6 shared years of data; in 2014 it was Hong Kong, China ahead.
Hong Kong, China ranks 112th and Switzerland ranks 114th of 125 countries.
Hong Kong, China 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 Switzerland?
- Hong Kong, China, at 0.19 DB16-20 methodology against 0.18 DB16-20 methodology in Switzerland as of 2019.
- What is the difference in getting electricity: system average interruption frequency index between Hong Kong, China and Switzerland?
- 0.01 DB16-20 methodology, with Hong Kong, China ahead.
- How many years of comparable data are there for Hong Kong, China and Switzerland?
- 6 years are reported by both, from 2014 to 2019.
- How do Hong Kong, China and Switzerland rank globally for getting electricity: system average interruption frequency index?
- Hong Kong, China ranks 112th and Switzerland ranks 114th 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.