Getting electricity: Financial deterrents aimed at limiting outages in Peru
Peru: Getting electricity: Financial deterrents aimed at limiting outages was 1 DB16-20 methodology in 2019. ▬ Flat
Getting electricity: Financial deterrents aimed at limiting outages in Peru, 2014–2019
Source: World Bank. Measured in DB16-20 methodology.
Analysis
In 2019, getting electricity: financial deterrents aimed at limiting outages in Peru stood at 1 DB16-20 methodology. That is the highest value across all 6 years on record.
Compared with earlier readings it is unchanged over ten years.
That places Peru 1st out of 186 countries with data for 2019, putting it in the top 10%.
Getting electricity: Financial deterrents aimed at limiting outages in Peru, year by year
| Year | DB16-20 methodology | Change |
|---|---|---|
| 2014 | 1 DB16-20 methodology | — |
| 2015 | 1 DB16-20 methodology | +0.0% |
| 2016 | 1 DB16-20 methodology | +0.0% |
| 2017 | 1 DB16-20 methodology | +0.0% |
| 2018 | 1 DB16-20 methodology | +0.0% |
| 2019 | 1 DB16-20 methodology | +0.0% |
Countries ranked near Peru
- 1 India 1 DB16-20 methodology compare
- 1 Indonesia 1 DB16-20 methodology compare
- 1 Pakistan 1 DB16-20 methodology compare
- 1 United States 1 DB16-20 methodology compare
- 1 Russia 1 DB16-20 methodology compare
- 1 Japan 1 DB16-20 methodology compare
- 1 Brazil 1 DB16-20 methodology compare
- 1 Albania 1 DB16-20 methodology compare
- 1 Angola 1 DB16-20 methodology compare
- 1 Argentina 1 DB16-20 methodology compare
- 1 Armenia 1 DB16-20 methodology compare
- 1 Australia 1 DB16-20 methodology compare
- 1 Barbados 1 DB16-20 methodology compare
- 1 Belarus 1 DB16-20 methodology compare
- 1 Belgium 1 DB16-20 methodology compare
- 1 Bhutan 1 DB16-20 methodology compare
- 1 Bolivia, Plurinational State of 1 DB16-20 methodology compare
- 1 Brunei Darussalam 1 DB16-20 methodology compare
- 1 Bulgaria 1 DB16-20 methodology compare
- 1 Cameroon 1 DB16-20 methodology compare
- 1 Chile 1 DB16-20 methodology compare
- 1 Colombia 1 DB16-20 methodology compare
- 1 Costa Rica 1 DB16-20 methodology compare
- 1 Côte d'Ivoire 1 DB16-20 methodology compare
- 1 Croatia 1 DB16-20 methodology compare
- 1 Cyprus 1 DB16-20 methodology compare
- 1 Czechia 1 DB16-20 methodology compare
- 1 Ecuador 1 DB16-20 methodology compare
- 1 El Salvador 1 DB16-20 methodology compare
- 1 Estonia 1 DB16-20 methodology compare
- 1 Finland 1 DB16-20 methodology compare
- 1 France 1 DB16-20 methodology compare
- 1 Georgia 1 DB16-20 methodology compare
- 1 Germany 1 DB16-20 methodology compare
- 1 Greece 1 DB16-20 methodology compare
- 1 Guatemala 1 DB16-20 methodology compare
- 1 Guyana 1 DB16-20 methodology compare
- 1 Hong Kong, China 1 DB16-20 methodology compare
- 1 Hungary 1 DB16-20 methodology compare
- 1 Ireland 1 DB16-20 methodology compare
- 1 Israel 1 DB16-20 methodology compare
- 1 Italy 1 DB16-20 methodology compare
- 1 Jamaica 1 DB16-20 methodology compare
- 1 Kazakhstan 1 DB16-20 methodology compare
- 1 Kiribati 1 DB16-20 methodology compare
- 1 Korea 1 DB16-20 methodology compare
- 1 Kosovo 1 DB16-20 methodology compare
- 1 Kyrgyzstan 1 DB16-20 methodology compare
- 1 Lithuania 1 DB16-20 methodology compare
- 1 Malaysia 1 DB16-20 methodology compare
- 1 Mauritius 1 DB16-20 methodology compare
- 1 Republic of Moldova 1 DB16-20 methodology compare
- 1 Montenegro 1 DB16-20 methodology compare
- 1 Morocco 1 DB16-20 methodology compare
- 1 Mozambique 1 DB16-20 methodology compare
- 1 Netherlands 1 DB16-20 methodology compare
- 1 New Zealand 1 DB16-20 methodology compare
- 1 North Macedonia 1 DB16-20 methodology compare
- 1 Norway 1 DB16-20 methodology compare
- 1 Oman 1 DB16-20 methodology compare
- 1 Panama 1 DB16-20 methodology compare
- 1 Papua New Guinea 1 DB16-20 methodology compare
- 1 Philippines 1 DB16-20 methodology compare
- 1 Poland 1 DB16-20 methodology compare
- 1 Portugal 1 DB16-20 methodology compare
- 1 Romania 1 DB16-20 methodology compare
- 1 Rwanda 1 DB16-20 methodology compare
- 1 Sao Tome and Principe 1 DB16-20 methodology compare
- 1 Saudi Arabia 1 DB16-20 methodology compare
- 1 Senegal 1 DB16-20 methodology compare
- 1 Singapore 1 DB16-20 methodology compare
- 1 Slovak Republic 1 DB16-20 methodology compare
- 1 Slovenia 1 DB16-20 methodology compare
- 1 Spain 1 DB16-20 methodology compare
- 1 Sweden 1 DB16-20 methodology compare
- 1 Taiwan, China 1 DB16-20 methodology compare
- 1 Tanzania, United Republic of 1 DB16-20 methodology compare
- 1 Thailand 1 DB16-20 methodology compare
- 1 Togo 1 DB16-20 methodology compare
- 1 Trinidad and Tobago 1 DB16-20 methodology compare
- 1 Türkiye 1 DB16-20 methodology compare
- 1 Ukraine 1 DB16-20 methodology compare
- 1 United Arab Emirates 1 DB16-20 methodology compare
- 1 United Kingdom 1 DB16-20 methodology compare
- 1 Uruguay 1 DB16-20 methodology compare
- 1 Uzbekistan 1 DB16-20 methodology compare
- 1 Vanuatu 1 DB16-20 methodology compare
- 1 Viet Nam 1 DB16-20 methodology compare
More private sector data for Peru
- Merchandise trade 42.8% (2025)
- Food imports 11.9% (2024)
- Manufactures imports 68.2% (2024)
- Merchandise imports 60.63 billion current US$ (2025)
- Food exports 21.2% (2024)
- Manufactures exports 7.4% (2024)
- Merchandise exports 82.69 billion current US$ (2025)
- Merchandise exports (current US$), per capita 2,392 current US$ per person (2025)
- Merchandise exports (current US$), per unit of GDP 0.2469 current US$ per US$ of GDP (2025)
- Merchandise exports (current US$), annual growth rate 10.68 % change on previous year (2025)
Frequently asked questions
- What is getting electricity: financial deterrents aimed at limiting outages in Peru?
- Getting electricity: financial deterrents aimed at limiting outages in Peru was 1 DB16-20 methodology in 2019, according to the World Bank.
- What is the highest getting electricity: financial deterrents aimed at limiting outages recorded in Peru?
- The highest recorded value was 1 DB16-20 methodology in 2014.
- What is the lowest getting electricity: financial deterrents aimed at limiting outages recorded in Peru?
- The lowest recorded value was 1 DB16-20 methodology in 2014.
- How does Peru rank for getting electricity: financial deterrents aimed at limiting outages?
- Peru ranks 1st out of 186 countries with data for 2019.
- Is getting electricity: financial deterrents aimed at limiting outages rising or falling in Peru?
- Over the last ten years it is unchanged. The long-run trend across the full record is flat.
- Where does this Peru data come from?
- The figures come from the World Bank, published as part of Getting electricity: Financial deterrents aimed at limiting outages (0-1) (DB16-20 methodology). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 6 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
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.