Hungary vs Oman: Getting electricity: System average interruption frequency index (SAIF

Hungary
1.23 DB16-20 methodology
in 2019
Oman
1.13 DB16-20 methodology
in 2019
Hungary rank
72nd
Oman rank
73rd

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

  • Hungary
  • Oman
00.511.522.5201420162019

How they compare

Hungary currently reports 1.23 DB16-20 methodology against 1.13 DB16-20 methodology in Oman, a difference of 0.1 DB16-20 methodology.

That makes Hungary's figure about 1.1 times Oman's.

The two have swapped places 1 time across 5 shared years of data; in 2015 it was Oman ahead.

Hungary ranks 72nd and Oman ranks 73rd of 124 countries.

Oman 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, Hungary or Oman?
Hungary, at 1.23 DB16-20 methodology against 1.13 DB16-20 methodology in Oman as of 2019.
What is the difference in getting electricity: system average interruption frequency index (saif between Hungary and Oman?
0.1 DB16-20 methodology, with Hungary ahead.
How many years of comparable data are there for Hungary and Oman?
5 years are reported by both, from 2015 to 2019.
How do Hungary and Oman rank globally for getting electricity: system average interruption frequency index (saif?
Hungary ranks 72nd and Oman ranks 73rd 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.