Croatia vs India: Getting electricity: System average interruption duration index (SAIDI

Croatia
3.3 DB16-20 methodology
in 2019
India
3.72 DB16-20 methodology
in 2019
Croatia rank
50th
India rank
48th

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

  • Croatia
  • India
05101520201420162019

How they compare

India currently reports 3.72 DB16-20 methodology against 3.3 DB16-20 methodology in Croatia, a difference of 0.42 DB16-20 methodology.

That makes India'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 India ahead.

Croatia ranks 50th and India ranks 48th of 125 countries.

India 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, Croatia or India?
India, at 3.72 DB16-20 methodology against 3.3 DB16-20 methodology in Croatia as of 2019.
What is the difference in getting electricity: system average interruption duration index (saidi between Croatia and India?
0.42 DB16-20 methodology, with India ahead.
How many years of comparable data are there for Croatia and India?
6 years are reported by both, from 2014 to 2019.
How do Croatia and India rank globally for getting electricity: system average interruption duration index (saidi?
Croatia ranks 50th and India ranks 48th 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.