Philippines vs Solomon Islands: Getting electricity: System average interruption duration index (SAIDI
Philippines
3.57 DB16-20 methodology
in 2019
Solomon Islands
3.1 DB16-20 methodology
in 2019
Philippines rank
49th
Solomon Islands rank
52nd
Getting electricity: System average interruption duration index (SAIDI over time
- Philippines
- Solomon Islands
How they compare
Philippines currently reports 3.57 DB16-20 methodology against 3.1 DB16-20 methodology in Solomon Islands, a difference of 0.47 DB16-20 methodology.
That makes Philippines's figure about 1.2 times Solomon Islands's.
The two have swapped places 3 times across 6 shared years of data; in 2014 it was Solomon Islands ahead.
Philippines ranks 49th and Solomon Islands ranks 52nd of 125 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 duration index (saidi, Philippines or Solomon Islands?
- Philippines, at 3.57 DB16-20 methodology against 3.1 DB16-20 methodology in Solomon Islands as of 2019.
- What is the difference in getting electricity: system average interruption duration index (saidi between Philippines and Solomon Islands?
- 0.47 DB16-20 methodology, with Philippines ahead.
- How many years of comparable data are there for Philippines and Solomon Islands?
- 6 years are reported by both, from 2014 to 2019.
- How do Philippines and Solomon Islands rank globally for getting electricity: system average interruption duration index (saidi?
- Philippines ranks 49th and Solomon Islands ranks 52nd of 125 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.