Peru vs United States of America: Getting electricity: Financial deterrents aimed at limiting outages
Peru
1 DB16-20 methodology
in 2019
United States of America
1 DB16-20 methodology
in 2019
Peru rank
1st
United States of America rank
1st
Getting electricity: Financial deterrents aimed at limiting outages over time
- Peru
- United States of America
How they compare
Peru currently reports 1 DB16-20 methodology against 1 DB16-20 methodology in United States of America, a difference of 0 DB16-20 methodology.
Across all 6 years both countries report, United States of America has been ahead every year.
Peru ranks 1st and United States of America ranks 1st of 187 countries.
Frequently asked questions
- Which has higher getting electricity: financial deterrents aimed at limiting outages, Peru or United States of America?
- Peru, at 1 DB16-20 methodology against 1 DB16-20 methodology in United States of America as of 2019.
- What is the difference in getting electricity: financial deterrents aimed at limiting outages between Peru and United States of America?
- 0 DB16-20 methodology, with Peru ahead.
- How many years of comparable data are there for Peru and United States of America?
- 6 years are reported by both, from 2014 to 2019.
- How do Peru and United States of America rank globally for getting electricity: financial deterrents aimed at limiting outages?
- Peru ranks 1st and United States of America 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.