Bulgaria vs Grenada: Getting electricity: System average interruption duration index (SAIDI

Bulgaria
6.15 DB16-20 methodology
in 2019
Grenada
6.36 DB16-20 methodology
in 2019
Bulgaria rank
36th
Grenada rank
34th

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

  • Bulgaria
  • Grenada
2468201420162019

How they compare

Grenada currently reports 6.36 DB16-20 methodology against 6.15 DB16-20 methodology in Bulgaria, a difference of 0.21 DB16-20 methodology.

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

Bulgaria ranks 36th and Grenada ranks 34th of 125 countries.

Bulgaria 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, Bulgaria or Grenada?
Grenada, at 6.36 DB16-20 methodology against 6.15 DB16-20 methodology in Bulgaria as of 2019.
What is the difference in getting electricity: system average interruption duration index (saidi between Bulgaria and Grenada?
0.21 DB16-20 methodology, with Grenada ahead.
How many years of comparable data are there for Bulgaria and Grenada?
6 years are reported by both, from 2014 to 2019.
How do Bulgaria and Grenada rank globally for getting electricity: system average interruption duration index (saidi?
Bulgaria ranks 36th and Grenada ranks 34th 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.