Croatia vs Peru: Getting electricity: System average interruption frequency index (SAIF

Croatia
1.58 DB16-20 methodology
in 2019
Peru
1.73 DB16-20 methodology
in 2019
Croatia rank
61st
Peru rank
60th

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

  • Croatia
  • Peru
2468201420162019

How they compare

Peru currently reports 1.73 DB16-20 methodology against 1.58 DB16-20 methodology in Croatia, a difference of 0.15 DB16-20 methodology.

That makes Peru's figure about 1.1 times Croatia's.

The two have swapped places 2 times across 6 shared years of data; in 2014 it was Peru ahead.

Croatia ranks 61st and Peru ranks 60th of 124 countries.

Peru 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, Croatia or Peru?
Peru, at 1.73 DB16-20 methodology against 1.58 DB16-20 methodology in Croatia as of 2019.
What is the difference in getting electricity: system average interruption frequency index (saif between Croatia and Peru?
0.15 DB16-20 methodology, with Peru ahead.
How many years of comparable data are there for Croatia and Peru?
6 years are reported by both, from 2014 to 2019.
How do Croatia and Peru rank globally for getting electricity: system average interruption frequency index (saif?
Croatia ranks 61st and Peru ranks 60th 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.