Argentina vs Palestine, State of: Getting electricity: System average interruption duration index
Argentina
4.51 DB16-20 methodology
in 2019
Palestine, State of
5.18 DB16-20 methodology
in 2019
Argentina rank
43rd
Palestine, State of rank
40th
Getting electricity: System average interruption duration index over time
- Argentina
- Palestine, State of
How they compare
Palestine, State of currently reports 5.18 DB16-20 methodology against 4.51 DB16-20 methodology in Argentina, a difference of 0.67 DB16-20 methodology.
That makes Palestine, State of's figure about 1.1 times Argentina's.
Across all 6 years both countries report, Palestine, State of has been ahead every year.
Argentina ranks 43rd and Palestine, State of ranks 40th of 127 countries.
Palestine, State of has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher getting electricity: system average interruption duration index, Argentina or Palestine, State of?
- Palestine, State of, at 5.18 DB16-20 methodology against 4.51 DB16-20 methodology in Argentina as of 2019.
- What is the difference in getting electricity: system average interruption duration index between Argentina and Palestine, State of?
- 0.67 DB16-20 methodology, with Palestine, State of ahead.
- How many years of comparable data are there for Argentina and Palestine, State of?
- 6 years are reported by both, from 2014 to 2019.
- How do Argentina and Palestine, State of rank globally for getting electricity: system average interruption duration index?
- Argentina ranks 43rd and Palestine, State of ranks 40th of 127 countries.
- Where does this data come from?
- The World Bank, published as Getting electricity: System average interruption duration index (SAIDI) (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 duration index is the average total duration of outages (in hours) experienced by a customer in a year. The index is computed based on the methodology in the DB16-20 studies.