The reliability and availability of infrastructure and the provision of utility services is crucial for development. The quality of infrastructure is measured by indicators assessing the wait times to obtain selected utility services, as well as the disruption of these services. The thirteen indicators on this page measure the reliability and provision of infrastructure services in 139 countries. In addition, the estimated cost burden due to the inadequate provision of electricity is provided. The results are based on surveys of more than 131,000 firms. A database query tool is available to help you gauge the impact of infrastructure issues across various firm subgroups. You can also generate graphs to compare countries.

To see the details for a specific economy, click on the links below. Click on column headers to sort data.



Custom Data Set

Generate a Custom Data Set for Infrastructure including standard errors, indicator values by firm subgroups, historical data and selected countries.


Percent of firms experiencing electrical outagesPercent of firms experiencing electrical outages during the previous fiscal year
Number of electrical outages in a typical monthNumber of power outages in a typical month.
If there were outages, average duration of a typical electrical outage (hours)If there were outages, duration of a typical power outage, in hours.
If there were outages, average losses due to electrical outages (% of annual sales)If there were outages, average losses due to electrical outages, as percentage of total annual sales.
Percent of firms owning or sharing a generatorPercent of firms owning or sharing a generator.
If a generator is used, average proportion of electricity from a generator (%)If a generator is used, the average proportion of electricity from a generator.
All Countries
East Asia & Pacific45.
Europe & Central Asia42.
High income nonOECD65.
High income: OECD27.
Latin America & Caribbean62.
Middle East & North Africa57.315.99.66.641.034.0
South Asia66.225.45.310.945.424.4
Sub-Saharan Africa78.
Afghanistan (2014)70.411.53.89.648.038.3
Albania (2013)
Angola (2010)87.74.713.512.679.027.3
Antigua and Barbuda (2010)
Argentina (2010)
Armenia (2013)
Azerbaijan (2013)
Bahamas, The (2010)
Bangladesh (2013)73.464.51.25.562.826.1
Barbados (2010)
Belarus (2013)
Belize (2010)
Benin (2016)95.628.03.79.459.937.0
Bhutan (2015)
Bolivia (2017)
Bosnia and Herzegovina (2013)
Botswana (2010)
Brazil (2009)
Bulgaria (2013)
Burkina Faso (2009)
Burundi (2014)
Cabo Verde (2009)
Cambodia (2016)
Cameroon (2016)
Central African Republic (2011)
Chad (2009)87.319.68.83.375.469.7
Chile (2010)
China (2012)
Colombia (2010)
Congo, Dem. Rep. (2013)89.312.35.67.859.537.2
Congo, Rep. (2009)89.721.534.316.481.856.3
Costa Rica (2010)
Côte d'Ivoire (2016)
Croatia (2013)
Czech Republic (2013)
Djibouti (2013)
Dominica (2010)
Dominican Republic (2016)
Ecuador (2017)
Egypt, Arab Rep. (2016)
El Salvador (2016)
Eritrea (2009)
Estonia (2013)
Ethiopia (2015)
Fiji (2009)
Gabon (2009)
Gambia, The (2006)88.721.06.911.863.932.3
Georgia (2013)
Ghana (2013)
Grenada (2010)
Guatemala (2010)
Guinea (2016)
Guinea-Bissau (2006)
Guyana, CR (2010)
Honduras (2016)
Hungary (2013)
India (2014)55.413.82.03.746.58.8
Indonesia (2015)
Iraq (2011)77.340.957.08.883.746.9
Israel (2013)
Jamaica (2010)
Jordan (2013)
Kazakhstan (2013)
Kenya (2013)
Kosovo (2013)80.910.72.510.165.013.6
Kyrgyz Republic (2013)
Lao PDR (2016)
Latvia (2013)
Lebanon (2013)
Lesotho (2016)
Liberia (2017)
Lithuania (2013)
Macedonia, FYR (2013)
Madagascar (2013)
Malawi (2014)
Malaysia (2015)
Mali (2016)
Mauritania (2014)
Mauritius (2009)
Mexico (2010)
Micronesia, Fed. Sts. (2009)
Moldova (2013)
Mongolia (2013)
Montenegro (2013)
Morocco (2013)
Mozambique (2007)
Myanmar (2016)94.911.01.32.552.315.4
Namibia (2014)
Nepal (2013)
Nicaragua (2016)
Niger (2017)
Nigeria (2014)77.632.811.615.670.758.8
Pakistan (2013)
Panama (2010)
Papua New Guinea (2015)97.741.94.74.787.419.0
Paraguay (2017)
Peru (2010)
Philippines (2015)
Poland (2013)
Romania (2013)
Russian Federation (2012)
Rwanda (2011)
Samoa (2009)
Senegal (2014)
Serbia (2013)
Sierra Leone (2017)
Slovak Republic (2013)
Slovenia (2013)
Solomon Islands (2015)
South Africa (2007)
South Sudan (2014)
Sri Lanka (2011)
St. Kitts and Nevis (2010)
St. Lucia (2010)
St. Vincent and the Grenadines (2010)
Sudan (2014)
Suriname (2010)
Swaziland (2016)
Sweden (2014)n.a.n.a.n.a.n.a.n.a.n.a.
Tajikistan (2013)
Tanzania (2013)
Thailand (2016)
Timor-Leste (2015)
Togo (2016)
Tonga (2009)
Trinidad and Tobago (2010)
Tunisia (2013)
Turkey (2013)
Uganda (2013)81.56.310.
Ukraine (2013)
Uruguay (2017)
Uzbekistan (2013)
Vanuatu (2009)
Venezuela, R.B. (2010)
Vietnam (2015)
West Bank and Gaza (2013)
Yemen, Rep. (2013)93.838.84.519.780.548.1
Zambia (2013)
Zimbabwe (2016)
  • Notes

    * This indicator is computed using data from manufacturing firms only.

    Additional Notes

    1. Most surveys were administered using the Enterprise Surveys Global Methodology as outlined in the Methodology page, while some others did not strictly adhere to the Enterprise Surveys Global Methodology. For example, for surveys which do not follow the Global Methodology, the Universe under consideration may have consisted of only manufacturing firms or the questionnaire used may have been different from the standard global questionnaire. Data users should exercise caution when comparing raw data and point estimates between surveys that did and did not adhere to the Enterprise Surveys Global Methodology. For surveys which did not adhere to the Global Methodology plus Afghanistan 2008, any inference from one of these surveys is representative only for the data sample itself.
    2. Regional and "all countries" averages of indicators are computed by taking a simple average of country-level point estimates. For each economy, only the latest available year of survey data is used in this computation. Only surveys, posted during the years 2010-2017, and adhering to the Enterprise Surveys Global Methodology are used to compute these regional and "all countries" averages.
    3. Descriptions of firm subgroup levels, e.g. how the ex post groupings are constructed, are provided in the Indicator Descriptions (PDF, 710KB) document.
    4. Statistics derived from less than or equal to five firms are displayed with an "n.a." to maintain confidentiality and should be distinguished from ".." which indicates missing values. Also note for three growth-related indicators under the "Performance" topic, these indicators are not computed when they are derived from less than 30 firms.
    5. Standard errors are labeled "n.c.", meaning not computed, for the following:

           1) indicators for all surveys that were not conducted using the Enterprise Surveys Global Methodology and

           2) for indicator breakdowns by ex post groupings: exporter or ownership type, and gender of the top manager.
    6. Please cite our data as follows:

      Enterprise Surveys (, The World Bank.