Mongolia vs North Macedonia: Getting electricity: System average interruption frequency index (SAIF
Mongolia
15 DB16-20 methodology
in 2019
North Macedonia
14.18 DB16-20 methodology
in 2019
Mongolia rank
13th
North Macedonia rank
16th
Getting electricity: System average interruption frequency index (SAIF over time
- Mongolia
- North Macedonia
How they compare
Mongolia currently reports 15 DB16-20 methodology against 14.18 DB16-20 methodology in North Macedonia, a difference of 0.82 DB16-20 methodology.
That makes Mongolia's figure about 1.1 times North Macedonia's.
The two have swapped places 1 time across 6 shared years of data; in 2014 it was North Macedonia ahead.
Mongolia ranks 13th and North Macedonia ranks 16th of 124 countries.
North Macedonia 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 North Macedonia?
- Mongolia, at 15 DB16-20 methodology against 14.18 DB16-20 methodology in North Macedonia as of 2019.
- What is the difference in getting electricity: system average interruption frequency index (saif between Mongolia and North Macedonia?
- 0.82 DB16-20 methodology, with Mongolia ahead.
- How many years of comparable data are there for Mongolia and North Macedonia?
- 6 years are reported by both, from 2014 to 2019.
- How do Mongolia and North Macedonia rank globally for getting electricity: system average interruption frequency index (saif?
- Mongolia ranks 13th and North Macedonia ranks 16th 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
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.