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

Guyana
113 DB16-20 methodology
in 2019
Mongolia
62 DB16-20 methodology
in 2019
Guyana rank
4th
Mongolia rank
6th

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

  • Guyana
  • Mongolia
255075100125150201420162019

How they compare

Guyana currently reports 113 DB16-20 methodology against 62 DB16-20 methodology in Mongolia, a difference of 51 DB16-20 methodology.

That makes Guyana's figure about 1.8 times Mongolia's.

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

Guyana ranks 4th and Mongolia ranks 6th of 125 countries.

Guyana 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, Guyana or Mongolia?
Guyana, at 113 DB16-20 methodology against 62 DB16-20 methodology in Mongolia as of 2019.
What is the difference in getting electricity: system average interruption duration index (saidi between Guyana and Mongolia?
51 DB16-20 methodology, with Guyana ahead.
How many years of comparable data are there for Guyana and Mongolia?
6 years are reported by both, from 2014 to 2019.
How do Guyana and Mongolia rank globally for getting electricity: system average interruption duration index (saidi?
Guyana ranks 4th and Mongolia ranks 6th 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.