Bolivia vs Kenya: Getting electricity: System average interruption duration index (SAIDI

Bolivia
7.96 DB16-20 methodology
in 2019
Kenya
12 DB16-20 methodology
in 2019
Bolivia rank
25th
Kenya rank
22nd

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

  • Bolivia
  • Kenya
05001.0k1.5k201420162019

How they compare

Kenya currently reports 12 DB16-20 methodology against 7.96 DB16-20 methodology in Bolivia, a difference of 4.04 DB16-20 methodology.

That makes Kenya's figure about 1.5 times Bolivia's.

Across all 6 years both countries report, Kenya has been ahead every year.

Bolivia ranks 25th and Kenya ranks 22nd of 125 countries.

Kenya 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, Bolivia or Kenya?
Kenya, at 12 DB16-20 methodology against 7.96 DB16-20 methodology in Bolivia as of 2019.
What is the difference in getting electricity: system average interruption duration index (saidi between Bolivia and Kenya?
4.04 DB16-20 methodology, with Kenya ahead.
How many years of comparable data are there for Bolivia and Kenya?
6 years are reported by both, from 2014 to 2019.
How do Bolivia and Kenya rank globally for getting electricity: system average interruption duration index (saidi?
Bolivia ranks 25th and Kenya ranks 22nd 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.