Samoa vs Sudan: Getting electricity: System average interruption duration index (SAIDI

Samoa
35.88 DB16-20 methodology
in 2019
Sudan
58.6 DB16-20 methodology
in 2018
Samoa rank
11th
Sudan rank
8th

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

  • Samoa
  • Sudan
20406080201420162019

How they compare

Sudan currently reports 58.6 DB16-20 methodology against 35.88 DB16-20 methodology in Samoa, a difference of 22.72 DB16-20 methodology.

That makes Sudan's figure about 1.6 times Samoa's.

The two have swapped places 1 time across 5 shared years of data; in 2014 it was Samoa ahead.

Samoa ranks 11th and Sudan ranks 8th of 125 countries.

Sudan 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, Samoa or Sudan?
Sudan, at 58.6 DB16-20 methodology against 35.88 DB16-20 methodology in Samoa as of 2018.
What is the difference in getting electricity: system average interruption duration index (saidi between Samoa and Sudan?
22.72 DB16-20 methodology, with Sudan 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 duration index (saidi?
Samoa ranks 11th and Sudan ranks 8th 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.