Kosovo vs Niger: Getting electricity: System average interruption frequency index (SAIF

Kosovo
5.89 DB16-20 methodology
in 2019
Niger
288 DB16-20 methodology
in 2019
Kosovo rank
1st
Niger rank
2nd

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

  • Kosovo
  • Niger
0100200300201420162019

How they compare

Niger currently reports 288 DB16-20 methodology against 5.89 DB16-20 methodology in Kosovo, a difference of 282.11 DB16-20 methodology.

That makes Niger's figure about 48.9 times Kosovo's.

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

Kosovo ranks 1st and Niger ranks 2nd of 1 countries.

Niger 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, Kosovo or Niger?
Niger, at 288 DB16-20 methodology against 5.89 DB16-20 methodology in Kosovo as of 2019.
What is the difference in getting electricity: system average interruption frequency index (saif between Kosovo and Niger?
282.11 DB16-20 methodology, with Niger ahead.
How many years of comparable data are there for Kosovo and Niger?
5 years are reported by both, from 2014 to 2019.
How do Kosovo and Niger rank globally for getting electricity: system average interruption frequency index (saif?
Kosovo ranks 1st and Niger ranks 2nd of 1 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.