Hong Kong (China) vs Lithuania: Getting electricity: System average interruption duration index
Hong Kong (China)
0.46 DB16-20 methodology
in 2019
Lithuania
0.4 DB16-20 methodology
in 2019
Hong Kong (China) rank
104th
Lithuania rank
106th
Getting electricity: System average interruption duration index over time
- Hong Kong (China)
- Lithuania
How they compare
Hong Kong (China) currently reports 0.46 DB16-20 methodology against 0.4 DB16-20 methodology in Lithuania, a difference of 0.06 DB16-20 methodology.
That makes Hong Kong (China)'s figure about 1.1 times Lithuania's.
The two have swapped places 2 times across 6 shared years of data; in 2014 it was Hong Kong (China) ahead.
Hong Kong (China) ranks 104th and Lithuania ranks 106th of 126 countries.
Hong Kong (China) 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, Hong Kong (China) or Lithuania?
- Hong Kong (China), at 0.46 DB16-20 methodology against 0.4 DB16-20 methodology in Lithuania as of 2019.
- What is the difference in getting electricity: system average interruption duration index between Hong Kong (China) and Lithuania?
- 0.06 DB16-20 methodology, with Hong Kong (China) ahead.
- How many years of comparable data are there for Hong Kong (China) and Lithuania?
- 6 years are reported by both, from 2014 to 2019.
- How do Hong Kong (China) and Lithuania rank globally for getting electricity: system average interruption duration index?
- Hong Kong (China) ranks 104th and Lithuania ranks 106th of 126 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
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.