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

Mongolia
15 DB16-20 methodology
in 2019
Samoa
15.77 DB16-20 methodology
in 2019
Mongolia rank
13th
Samoa rank
11th

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

  • Mongolia
  • Samoa
10152025201420162019

How they compare

Samoa currently reports 15.77 DB16-20 methodology against 15 DB16-20 methodology in Mongolia, a difference of 0.77 DB16-20 methodology.

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

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

Mongolia ranks 13th and Samoa ranks 11th 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, Mongolia or Samoa?
Samoa, at 15.77 DB16-20 methodology against 15 DB16-20 methodology in Mongolia as of 2019.
What is the difference in getting electricity: system average interruption frequency index (saif between Mongolia and Samoa?
0.77 DB16-20 methodology, with Samoa ahead.
How many years of comparable data are there for Mongolia and Samoa?
6 years are reported by both, from 2014 to 2019.
How do Mongolia and Samoa rank globally for getting electricity: system average interruption frequency index (saif?
Mongolia ranks 13th and Samoa ranks 11th 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.