Cape Verde vs Palestine, State of: Getting electricity: System average interruption frequency index
Cape Verde
13.1 DB16-20 methodology
in 2019
Palestine, State of
9.48 DB16-20 methodology
in 2019
Cape Verde rank
18th
Palestine, State of rank
21st
Getting electricity: System average interruption frequency index over time
- Cape Verde
- Palestine, State of
How they compare
Cape Verde currently reports 13.1 DB16-20 methodology against 9.48 DB16-20 methodology in Palestine, State of, a difference of 3.62 DB16-20 methodology.
That makes Cape Verde's figure about 1.4 times Palestine, State of's.
Across all 6 years both countries report, Cape Verde has been ahead every year.
Cape Verde ranks 18th and Palestine, State of ranks 21st of 126 countries.
Cape Verde 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, Cape Verde or Palestine, State of?
- Cape Verde, at 13.1 DB16-20 methodology against 9.48 DB16-20 methodology in Palestine, State of as of 2019.
- What is the difference in getting electricity: system average interruption frequency index between Cape Verde and Palestine, State of?
- 3.62 DB16-20 methodology, with Cape Verde ahead.
- How many years of comparable data are there for Cape Verde and Palestine, State of?
- 6 years are reported by both, from 2014 to 2019.
- How do Cape Verde and Palestine, State of rank globally for getting electricity: system average interruption frequency index?
- Cape Verde ranks 18th and Palestine, State of ranks 21st of 126 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.