Lithuania vs Namibia: Getting electricity: Mechanisms for restoring service (0-1)

Lithuania
1 DB16-20 methodology
in 2019
Namibia
1 DB16-20 methodology
in 2019
Lithuania rank
1st
Namibia rank
1st

Getting electricity: Mechanisms for restoring service (0-1) over time

  • Lithuania
  • Namibia
00.20.40.60.81201420162019

How they compare

Lithuania currently reports 1 DB16-20 methodology against 1 DB16-20 methodology in Namibia, a difference of 0 DB16-20 methodology.

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

Lithuania ranks 1st and Namibia ranks 1st of 184 countries.

Frequently asked questions

Which has higher getting electricity: mechanisms for restoring service (0-1), Lithuania or Namibia?
Lithuania, at 1 DB16-20 methodology against 1 DB16-20 methodology in Namibia as of 2019.
What is the difference in getting electricity: mechanisms for restoring service (0-1) between Lithuania and Namibia?
0 DB16-20 methodology, with Lithuania ahead.
How many years of comparable data are there for Lithuania and Namibia?
6 years are reported by both, from 2014 to 2019.
How do Lithuania and Namibia rank globally for getting electricity: mechanisms for restoring service (0-1)?
Lithuania ranks 1st and Namibia ranks 1st of 184 countries.
Where does this data come from?
The World Bank, published as Getting electricity: Mechanisms for restoring service (0-1) (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: Mechanisms for restoring service (0-1) (DB16-20 methodology)
Unit
DB16-20 methodology
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
186 places, 1,116 data points, 2014–2019
Last refreshed

The mechanisms for restoring service index evaluates what tools are used by the distribution utility to restore power supply. A score of 1 is assigned if the utility uses automated tools, such as an OMS/IMS or SCADA system. The index is computed based on the methodology in the DB16-20 studies.