Chile vs Hungary: Getting electricity: System average interruption duration index (SAIDI

Chile
2.9 DB16-20 methodology
in 2019
Hungary
2.56 DB16-20 methodology
in 2019
Chile rank
54th
Hungary rank
57th

Getting electricity: System average interruption duration index (SAIDI over time

  • Chile
  • Hungary
01234201420162019

How they compare

Chile currently reports 2.9 DB16-20 methodology against 2.56 DB16-20 methodology in Hungary, a difference of 0.34 DB16-20 methodology.

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

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

Chile ranks 54th and Hungary ranks 57th of 125 countries.

Chile has averaged higher in every one of the 1 decades both report.

Frequently asked questions

Which has higher getting electricity: system average interruption duration index (saidi, Chile or Hungary?
Chile, at 2.9 DB16-20 methodology against 2.56 DB16-20 methodology in Hungary as of 2019.
What is the difference in getting electricity: system average interruption duration index (saidi between Chile and Hungary?
0.34 DB16-20 methodology, with Chile ahead.
How many years of comparable data are there for Chile and Hungary?
6 years are reported by both, from 2014 to 2019.
How do Chile and Hungary rank globally for getting electricity: system average interruption duration index (saidi?
Chile ranks 54th and Hungary ranks 57th of 125 countries.
Where does this data come from?
The World Bank, published as Getting electricity: System average interruption duration index (SAIDI) (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 duration index (SAIDI) (DB16-20 methodology)
Unit
DB16-20 methodology
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
126 places, 752 data points, 2014–2019
Last refreshed

The system average interruption duration index is the average total duration of outages (in hours) experienced by a customer in a year. The index is computed based on the methodology in the DB16-20 studies.