Getting electricity: Financial deterrents aimed at limiting outages in Sudan
Sudan: Getting electricity: Financial deterrents aimed at limiting outages was 0 DB16-20 methodology in 2019. ◆ Volatile
Getting electricity: Financial deterrents aimed at limiting outages in Sudan, 2014–2019
Source: World Bank. Measured in DB16-20 methodology.
Analysis
In 2019, getting electricity: financial deterrents aimed at limiting outages in Sudan stood at 0 DB16-20 methodology. That is the lowest value across all 6 years on record.
Compared with earlier readings it is down 100.0% over ten years.
Sudan ranks 91st of 187 countries on this measure, in the middle of the range.
Getting electricity: Financial deterrents aimed at limiting outages in Sudan, year by year
| Year | DB16-20 methodology | Change |
|---|---|---|
| 2014 | 1 DB16-20 methodology | — |
| 2015 | 0 DB16-20 methodology | -100.0% |
| 2016 | 0 DB16-20 methodology | — |
| 2017 | 0 DB16-20 methodology | — |
| 2018 | 0 DB16-20 methodology | — |
| 2019 | 0 DB16-20 methodology | — |
Countries ranked near Sudan
- 91 China 0 DB16-20 methodology
- 91 Bangladesh 0 DB16-20 methodology
- 91 Nigeria 0 DB16-20 methodology
- 91 Mexico 0 DB16-20 methodology
- 91 Afghanistan 0 DB16-20 methodology
- 91 Algeria 0 DB16-20 methodology
- 91 Antigua and Barbuda 0 DB16-20 methodology
- 91 Austria 0 DB16-20 methodology
- 91 Azerbaijan 0 DB16-20 methodology
- 91 Bahamas 0 DB16-20 methodology
- 91 Bahrain 0 DB16-20 methodology
- 91 Belize 0 DB16-20 methodology
- 91 Benin 0 DB16-20 methodology
- 91 Bosnia and Herzegovina 0 DB16-20 methodology
- 91 Botswana 0 DB16-20 methodology
- 91 Burkina Faso 0 DB16-20 methodology
- 91 Burundi 0 DB16-20 methodology
- 91 Cape Verde 0 DB16-20 methodology
- 91 Cambodia 0 DB16-20 methodology
- 91 Canada 0 DB16-20 methodology
- 91 Central African Republic 0 DB16-20 methodology
- 91 Chad 0 DB16-20 methodology
- 91 Comoros 0 DB16-20 methodology
- 91 Congo, Democratic Republic of the 0 DB16-20 methodology
- 91 Congo 0 DB16-20 methodology
- 91 Denmark 0 DB16-20 methodology
- 91 Djibouti 0 DB16-20 methodology
- 91 Dominica 0 DB16-20 methodology
- 91 Dominican Republic 0 DB16-20 methodology
- 91 Egypt 0 DB16-20 methodology
- 91 Equatorial Guinea 0 DB16-20 methodology
- 91 Eswatini 0 DB16-20 methodology
- 91 Ethiopia 0 DB16-20 methodology
- 91 Fiji 0 DB16-20 methodology
- 91 Gabon 0 DB16-20 methodology
- 91 Gambia 0 DB16-20 methodology
- 91 Ghana 0 DB16-20 methodology
- 91 Grenada 0 DB16-20 methodology
- 91 Guinea 0 DB16-20 methodology
- 91 Guinea-Bissau 0 DB16-20 methodology
- 91 Haiti 0 DB16-20 methodology
- 91 Honduras 0 DB16-20 methodology
- 91 Iceland 0 DB16-20 methodology
- 91 Iran, Islamic Republic of 0 DB16-20 methodology
- 91 Iraq 0 DB16-20 methodology
- 91 Jordan 0 DB16-20 methodology
- 91 Kenya 0 DB16-20 methodology
- 91 Kuwait 0 DB16-20 methodology
- 91 Lao People's Democratic Republic 0 DB16-20 methodology
- 91 Latvia 0 DB16-20 methodology
- 91 Lebanon 0 DB16-20 methodology
- 91 Lesotho 0 DB16-20 methodology
- 91 Liberia 0 DB16-20 methodology
- 91 Libya 0 DB16-20 methodology
- 91 Luxembourg 0 DB16-20 methodology
- 91 Madagascar 0 DB16-20 methodology
- 91 Malawi 0 DB16-20 methodology
- 91 Maldives 0 DB16-20 methodology
- 91 Mali 0 DB16-20 methodology
- 91 Malta 0 DB16-20 methodology
- 91 Marshall Islands 0 DB16-20 methodology
- 91 Mauritania 0 DB16-20 methodology
- 91 Micronesia, Federated States of 0 DB16-20 methodology
- 91 Mongolia 0 DB16-20 methodology
- 91 Myanmar 0 DB16-20 methodology
- 91 Namibia 0 DB16-20 methodology
- 91 Nepal 0 DB16-20 methodology
- 91 Nicaragua 0 DB16-20 methodology
- 91 Niger 0 DB16-20 methodology
- 91 Palau 0 DB16-20 methodology
- 91 Paraguay 0 DB16-20 methodology
- 91 Puerto Rico 0 DB16-20 methodology
- 91 Qatar 0 DB16-20 methodology
- 91 Samoa 0 DB16-20 methodology
- 91 San Marino 0 DB16-20 methodology
- 91 Serbia 0 DB16-20 methodology
- 91 Seychelles 0 DB16-20 methodology
- 91 Sierra Leone 0 DB16-20 methodology
- 91 Solomon Islands 0 DB16-20 methodology
- 91 South Africa 0 DB16-20 methodology
- 91 Sri Lanka 0 DB16-20 methodology
- 91 Saint Kitts and Nevis 0 DB16-20 methodology
- 91 Saint Lucia 0 DB16-20 methodology
- 91 Saint Vincent and the Grenadines 0 DB16-20 methodology
- 91 Suriname 0 DB16-20 methodology
- 91 Switzerland 0 DB16-20 methodology
- 91 Syrian Arab Republic 0 DB16-20 methodology
- 91 Tajikistan 0 DB16-20 methodology
- 91 Timor-Leste 0 DB16-20 methodology
- 91 Tonga 0 DB16-20 methodology
- 91 Tunisia 0 DB16-20 methodology
- 91 Uganda 0 DB16-20 methodology
- 91 Venezuela, Bolivarian Republic of 0 DB16-20 methodology
- 91 Palestine, State of 0 DB16-20 methodology
- 91 Zambia 0 DB16-20 methodology
- 91 Zimbabwe 0 DB16-20 methodology
More private sector data for Sudan
- Merchandise trade 15.0% (2025)
- Food imports 29.9% (2018)
- Manufactures imports 56.0% (2018)
- Merchandise imports 6.20 billion current US$ (2025)
- Food exports 50.6% (2018)
- Manufactures exports 1.1% (2018)
- Merchandise exports 2.80 billion current US$ (2025)
- Merchandise exports (current US$), per capita 54.2 current US$ per person (2025)
- Merchandise exports (current US$), per unit of GDP 0.0465 current US$ per US$ of GDP (2025)
- Merchandise exports (current US$), annual growth rate -10.66 % change on previous year (2025)
Frequently asked questions
- What is getting electricity: financial deterrents aimed at limiting outages in Sudan?
- Getting electricity: financial deterrents aimed at limiting outages in Sudan was 0 DB16-20 methodology in 2019, according to the World Bank.
- What is the highest getting electricity: financial deterrents aimed at limiting outages recorded in Sudan?
- 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 Sudan?
- The lowest recorded value was 0 DB16-20 methodology in 2015.
- How does Sudan rank for getting electricity: financial deterrents aimed at limiting outages?
- Sudan ranks 91st out of 187 countries with data for 2019.
- Is getting electricity: financial deterrents aimed at limiting outages rising or falling in Sudan?
- Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
- Where does this Sudan 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.