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

Mongolia
15 DB16-20 methodology
in 2019
Sudan
14.4 DB16-20 methodology
in 2018
Mongolia rank
13th
Sudan rank
14th

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

  • Mongolia
  • Sudan
1015202530201420162019

How they compare

Mongolia currently reports 15 DB16-20 methodology against 14.4 DB16-20 methodology in Sudan, a difference of 0.6 DB16-20 methodology.

Across all 5 years both countries report, Sudan has been ahead every year.

Mongolia ranks 13th and Sudan ranks 14th of 124 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 frequency index (saif, Mongolia or Sudan?
Mongolia, at 15 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 Mongolia and Sudan?
0.6 DB16-20 methodology, with Mongolia ahead.
How many years of comparable data are there for Mongolia and Sudan?
5 years are reported by both, from 2014 to 2018.
How do Mongolia and Sudan rank globally for getting electricity: system average interruption frequency index (saif?
Mongolia ranks 13th 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.