Argentina vs Fiji: Getting electricity: System average interruption duration index (SAIDI

Argentina
4.51 DB16-20 methodology
in 2019
Fiji
5 DB16-20 methodology
in 2019
Argentina rank
41st
Fiji rank
39th

Getting electricity: System average interruption duration index (SAIDI over time

  • Argentina
  • Fiji
02.557.510201420162019

How they compare

Fiji currently reports 5 DB16-20 methodology against 4.51 DB16-20 methodology in Argentina, a difference of 0.49 DB16-20 methodology.

That makes Fiji's figure about 1.1 times Argentina's.

Across all 6 years both countries report, Fiji has been ahead every year.

Argentina ranks 41st and Fiji ranks 39th of 125 countries.

Fiji 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, Argentina or Fiji?
Fiji, at 5 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 (saidi between Argentina and Fiji?
0.49 DB16-20 methodology, with Fiji ahead.
How many years of comparable data are there for Argentina and Fiji?
6 years are reported by both, from 2014 to 2019.
How do Argentina and Fiji rank globally for getting electricity: system average interruption duration index (saidi?
Argentina ranks 41st and Fiji ranks 39th 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

Indicator
Getting electricity: System average interruption duration index (SAIDI) (DB16-20 methodology)
Unit
DB16-20 methodology
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
126 places, 752 data points, 2014–2019
Last refreshed

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.