Mongolia vs Uganda: Getting electricity: System average interruption duration index (SAIDI

Mongolia
62 DB16-20 methodology
in 2019
Uganda
61.7 DB16-20 methodology
in 2019
Mongolia rank
6th
Uganda rank
7th

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

  • Mongolia
  • Uganda
020406080100201420162019

How they compare

Mongolia currently reports 62 DB16-20 methodology against 61.7 DB16-20 methodology in Uganda, a difference of 0.3 DB16-20 methodology.

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

Mongolia ranks 6th and Uganda ranks 7th of 125 countries.

Mongolia 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, Mongolia or Uganda?
Mongolia, at 62 DB16-20 methodology against 61.7 DB16-20 methodology in Uganda as of 2019.
What is the difference in getting electricity: system average interruption duration index (saidi between Mongolia and Uganda?
0.3 DB16-20 methodology, with Mongolia ahead.
How many years of comparable data are there for Mongolia and Uganda?
6 years are reported by both, from 2014 to 2019.
How do Mongolia and Uganda rank globally for getting electricity: system average interruption duration index (saidi?
Mongolia ranks 6th and Uganda ranks 7th 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.