Armenia vs Palau: Getting electricity: System average interruption frequency index (SAIF

Armenia
7.2 DB16-20 methodology
in 2019
Palau
8.9 DB16-20 methodology
in 2019
Armenia rank
25th
Palau rank
23rd

Getting electricity: System average interruption frequency index (SAIF over time

  • Armenia
  • Palau
0204060201420162019

How they compare

Palau currently reports 8.9 DB16-20 methodology against 7.2 DB16-20 methodology in Armenia, a difference of 1.7 DB16-20 methodology.

That makes Palau's figure about 1.2 times Armenia's.

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

Armenia ranks 25th and Palau ranks 23rd of 124 countries.

Palau 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, Armenia or Palau?
Palau, at 8.9 DB16-20 methodology against 7.2 DB16-20 methodology in Armenia as of 2019.
What is the difference in getting electricity: system average interruption frequency index (saif between Armenia and Palau?
1.7 DB16-20 methodology, with Palau ahead.
How many years of comparable data are there for Armenia and Palau?
6 years are reported by both, from 2014 to 2019.
How do Armenia and Palau rank globally for getting electricity: system average interruption frequency index (saif?
Armenia ranks 25th and Palau ranks 23rd 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

Indicator
Getting electricity: System average interruption frequency index (SAIFI) (DB16-20 methodology)
Unit
DB16-20 methodology
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
125 places, 747 data points, 2014–2019
Last refreshed

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.