Samoa vs Sudan: Getting electricity: System average interruption frequency index (SAIF

Samoa
15.77 DB16-20 methodology
in 2019
Sudan
14.4 DB16-20 methodology
in 2018
Samoa rank
11th
Sudan rank
14th

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

  • Samoa
  • Sudan
0102030201420162019

How they compare

Samoa currently reports 15.77 DB16-20 methodology against 14.4 DB16-20 methodology in Sudan, a difference of 1.37 DB16-20 methodology.

That makes Samoa's figure about 1.1 times Sudan's.

The two have swapped places 2 times across 5 shared years of data; in 2014 it was Samoa ahead.

Samoa ranks 11th and Sudan ranks 14th of 124 countries.

Samoa 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, Samoa or Sudan?
Samoa, at 15.77 DB16-20 methodology against 14.4 DB16-20 methodology in Sudan as of 2019.
What is the difference in getting electricity: system average interruption frequency index (saif between Samoa and Sudan?
1.37 DB16-20 methodology, with Samoa ahead.
How many years of comparable data are there for Samoa and Sudan?
5 years are reported by both, from 2014 to 2018.
How do Samoa and Sudan rank globally for getting electricity: system average interruption frequency index (saif?
Samoa ranks 11th and Sudan ranks 14th 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.