Cape Verde vs North Macedonia: Getting electricity: System average interruption frequency index (SAIF
Cape Verde
13.1 DB16-20 methodology
in 2019
North Macedonia
14.18 DB16-20 methodology
in 2019
Cape Verde rank
18th
North Macedonia rank
16th
Getting electricity: System average interruption frequency index (SAIF over time
- Cape Verde
- North Macedonia
How they compare
North Macedonia currently reports 14.18 DB16-20 methodology against 13.1 DB16-20 methodology in Cape Verde, a difference of 1.08 DB16-20 methodology.
That makes North Macedonia's figure about 1.1 times Cape Verde's.
The two have swapped places 2 times across 6 shared years of data; in 2014 it was North Macedonia ahead.
Cape Verde ranks 18th and North Macedonia ranks 16th of 124 countries.
Cape Verde 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, Cape Verde or North Macedonia?
- North Macedonia, at 14.18 DB16-20 methodology against 13.1 DB16-20 methodology in Cape Verde as of 2019.
- What is the difference in getting electricity: system average interruption frequency index (saif between Cape Verde and North Macedonia?
- 1.08 DB16-20 methodology, with North Macedonia ahead.
- How many years of comparable data are there for Cape Verde and North Macedonia?
- 6 years are reported by both, from 2014 to 2019.
- How do Cape Verde and North Macedonia rank globally for getting electricity: system average interruption frequency index (saif?
- Cape Verde ranks 18th 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.