Albania vs Sao Tome and Principe: Getting electricity: Financial deterrents aimed at limiting outages
Albania
1 DB16-20 methodology
in 2019
Sao Tome and Principe
1 DB16-20 methodology
in 2019
Albania rank
1st
Sao Tome and Principe rank
1st
Getting electricity: Financial deterrents aimed at limiting outages over time
- Albania
- Sao Tome and Principe
How they compare
Albania currently reports 1 DB16-20 methodology against 1 DB16-20 methodology in Sao Tome and Principe, a difference of 0 DB16-20 methodology.
Across all 6 years both countries report, Sao Tome and Principe has been ahead every year.
Albania ranks 1st and Sao Tome and Principe ranks 1st of 187 countries.
Frequently asked questions
- Which has higher getting electricity: financial deterrents aimed at limiting outages, Albania or Sao Tome and Principe?
- Albania, at 1 DB16-20 methodology against 1 DB16-20 methodology in Sao Tome and Principe as of 2019.
- What is the difference in getting electricity: financial deterrents aimed at limiting outages between Albania and Sao Tome and Principe?
- 0 DB16-20 methodology, with Albania ahead.
- How many years of comparable data are there for Albania and Sao Tome and Principe?
- 6 years are reported by both, from 2014 to 2019.
- How do Albania and Sao Tome and Principe rank globally for getting electricity: financial deterrents aimed at limiting outages?
- Albania ranks 1st and Sao Tome and Principe ranks 1st of 187 countries.
- Where does this data come from?
- The World Bank, published as Getting electricity: Financial deterrents aimed at limiting outages (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
Th financial deterrents index evaluates whether financial deterrents exist to limit outages. A score of 1 is assigned if the utility compensates customers when outages exceed a certain cap, if the utility is fined by the regulator when outages exceed a certain cap or if both these conditions are met. The index is computed based on the methodology in the DB16-20 studies.