Hungary vs Solomon Islands: Getting electricity: System average interruption frequency index (SAIF
Hungary
1.23 DB16-20 methodology
in 2019
Solomon Islands
1.45 DB16-20 methodology
in 2019
Hungary rank
72nd
Solomon Islands rank
69th
Getting electricity: System average interruption frequency index (SAIF over time
- Hungary
- Solomon Islands
How they compare
Solomon Islands currently reports 1.45 DB16-20 methodology against 1.23 DB16-20 methodology in Hungary, a difference of 0.22 DB16-20 methodology.
That makes Solomon Islands's figure about 1.2 times Hungary's.
Across all 6 years both countries report, Solomon Islands has been ahead every year.
Hungary ranks 72nd and Solomon Islands ranks 69th of 124 countries.
Solomon Islands 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 (saif, Hungary or Solomon Islands?
- Solomon Islands, at 1.45 DB16-20 methodology against 1.23 DB16-20 methodology in Hungary as of 2019.
- What is the difference in getting electricity: system average interruption frequency index (saif between Hungary and Solomon Islands?
- 0.22 DB16-20 methodology, with Solomon Islands ahead.
- How many years of comparable data are there for Hungary and Solomon Islands?
- 6 years are reported by both, from 2014 to 2019.
- How do Hungary and Solomon Islands rank globally for getting electricity: system average interruption frequency index (saif?
- Hungary ranks 72nd and Solomon Islands ranks 69th of 124 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.