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

Croatia
1.58 DB16-20 methodology
in 2019
Ukraine
1.57 DB16-20 methodology
in 2019
Croatia rank
61st
Ukraine rank
62nd

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

  • Croatia
  • Ukraine
00.511.522.5201420162019

How they compare

Croatia currently reports 1.58 DB16-20 methodology against 1.57 DB16-20 methodology in Ukraine, a difference of 0.01 DB16-20 methodology.

The two have swapped places 1 time across 6 shared years of data; in 2014 it was Ukraine ahead.

Croatia ranks 61st and Ukraine ranks 62nd of 124 countries.

Ukraine 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 Ukraine?
Croatia, at 1.58 DB16-20 methodology against 1.57 DB16-20 methodology in Ukraine as of 2019.
What is the difference in getting electricity: system average interruption frequency index (saif between Croatia and Ukraine?
0.01 DB16-20 methodology, with Croatia ahead.
How many years of comparable data are there for Croatia and Ukraine?
6 years are reported by both, from 2014 to 2019.
How do Croatia and Ukraine rank globally for getting electricity: system average interruption frequency index (saif?
Croatia ranks 61st and Ukraine ranks 62nd 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.