Time to obtain an electrical connection (days) - Country Ranking

Definition: The average wait, in days, experienced to obtain an electrical connection from the day an establishment applies for it to the day it receives the service.

Source: World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Suriname 262.30 2018
2 Lebanon 235.90 2019
3 Ethiopia 194.30 2015
4 Benin 193.20 2016
5 Czech Republic 151.50 2019
6 Hungary 144.20 2019
7 Tunisia 128.30 2020
8 Syrian Arab Republic 118.40 2009
9 Serbia 113.60 2019
10 Afghanistan 111.30 2014
11 Moldova 99.50 2019
12 Estonia 91.10 2019
13 Bangladesh 84.70 2013
14 Pakistan 82.80 2013
15 Malta 79.90 2019
16 Peru 79.00 2017
17 Kenya 78.90 2018
18 Egypt 76.90 2016
19 Belgium 76.60 2020
20 Bosnia and Herzegovina 73.60 2019
21 Togo 71.90 2016
22 Chad 69.60 2018
23 Yemen 68.20 2010
24 Zambia 61.70 2019
25 Netherlands 59.60 2020
25 Colombia 59.60 2017
27 Cyprus 58.00 2019
28 Slovenia 56.90 2019
29 Israel 55.30 2013
30 Argentina 53.50 2017
31 Tanzania 52.60 2013
32 Ukraine 51.50 2019
33 Malawi 50.40 2014
34 Montenegro 49.40 2019
35 Ireland 49.30 2020
36 Algeria 49.10 2007
37 Papua New Guinea 47.10 2015
38 Ghana 44.70 2013
39 Latvia 43.60 2019
40 Sri Lanka 42.40 2011
41 Lithuania 41.80 2019
42 Côte d'Ivoire 39.80 2016
43 Botswana 39.20 2010
44 Costa Rica 39.00 2010
45 Guyana 36.90 2010
46 Myanmar 36.50 2016
47 El Salvador 35.40 2016
48 Denmark 35.30 2020
49 Gabon 34.50 2009
50 Uruguay 34.20 2017
51 Djibouti 34.10 2013
52 Romania 32.80 2019
53 Nicaragua 31.00 2016
54 Rwanda 30.70 2019
55 Liberia 30.60 2017
56 Cabo Verde 30.50 2009
57 Mali 30.10 2016
57 The Gambia 30.10 2018
59 Bolivia 30.00 2017
60 Niger 28.60 2017
61 Thailand 27.90 2006
62 Brazil 27.70 2009
63 Guatemala 27.50 2017
64 Luxembourg 25.90 2020
64 Honduras 25.90 2016
66 Burundi 25.30 2014
67 Senegal 24.80 2014
67 Bulgaria 24.80 2019
69 Barbados 24.70 2010
70 Kyrgyz Republic 24.40 2019
71 Poland 24.30 2019
72 Madagascar 24.00 2013
73 Burkina Faso 23.10 2009
74 Grenada 22.90 2010
75 Zimbabwe 22.20 2016
76 Sierra Leone 22.00 2017
77 India 21.90 2014
78 Slovak Republic 21.50 2019
79 Belarus 21.40 2018
80 Nepal 21.30 2013
80 Bhutan 21.30 2015
82 Chile 21.10 2010
83 Georgia 20.90 2019
83 Croatia 20.90 2019
85 Guinea-Bissau 20.50 2006
85 Jamaica 20.50 2010
87 Namibia 20.30 2014
88 North Macedonia 19.90 2019
89 Iraq 19.60 2011
90 Fiji 19.00 2009
91 Trinidad and Tobago 18.80 2010
92 Albania 18.60 2019
92 Mauritius 18.60 2009
92 Philippines 18.60 2015
95 Vietnam 18.50 2015
96 Mozambique 18.10 2018
96 Kazakhstan 18.10 2019
96 Uganda 18.10 2013
96 Ecuador 18.10 2017
100 Mongolia 17.80 2019
101 Sweden 17.50 2020
102 Mexico 17.10 2010
103 Dominican Republic 16.70 2016
104 Cameroon 16.20 2016
105 Mauritania 16.10 2014
106 Dem. Rep. Congo 16.00 2013
107 St. Kitts and Nevis 15.70 2010
108 Vanuatu 15.30 2009
109 The Bahamas 14.70 2010
109 Lao PDR 14.70 2018
111 Venezuela 13.90 2010
112 Finland 12.40 2020
113 Lesotho 12.20 2016
114 Paraguay 12.10 2017
115 Solomon Islands 12.00 2015
116 South Africa 11.90 2020
117 Central African Republic 11.80 2011
118 Greece 11.60 2018
119 Eswatini 11.30 2016
120 Portugal 10.40 2019
121 Italy 10.20 2019
122 Morocco 9.80 2019
122 Samoa 9.80 2009
124 Timor-Leste 9.50 2015
125 Nigeria 9.40 2014
126 Spain 9.30 2005
126 Uzbekistan 9.30 2019
128 St. Vincent and the Grenadines 9.20 2010
129 Tajikistan 8.90 2019
130 Congo 8.50 2009
131 Tonga 8.30 2009
132 Russia 8.10 2019
133 Cambodia 7.90 2016
134 Angola 7.70 2010
135 Guinea 7.40 2016
136 China 6.90 2012
136 Turkey 6.90 2019
138 Antigua and Barbuda 6.70 2010
139 Armenia 6.50 2020
140 St. Lucia 6.30 2010
141 Belize 6.10 2010
142 Indonesia 6.00 2015
143 Sudan 5.80 2014
144 Dominica 5.60 2010
145 Azerbaijan 4.60 2019
146 Korea 3.90 2005
147 Jordan 3.80 2019
148 Germany 3.20 2005
149 Panama 1.80 2010
149 Malaysia 1.80 2015

More rankings: Africa | Asia | Central America & the Caribbean | Europe | Middle East | North America | Oceania | South America | World |

Development Relevance: Firms evaluating investment options, governments interested in improving business conditions, and economists seeking to explain economic performance have all grappled with defining and measuring the business environment. The firm-level data from Enterprise Surveys provide a useful tool for benchmarking economies across a large number of indicators measured at the firm level. International trade can be beneficial for firms in terms of less expensive inputs for manufacturing and new markets for exporting finished products and services. Time spent waiting for imports and exports to clear customs can be costly for firms and deter them from engaging in trade or making them uncompetitive globally.

Limitations and Exceptions: The sampling methodology for Enterprise Surveys is stratified random sampling. In a simple random sample, all members of the population have the same probability of being selected and no weighting of the observations is necessary. In a stratified random sample, all population units are grouped within homogeneous groups and simple random samples are selected within each group. This method allows computing estimates for each of the strata with a specified level of precision while population estimates can also be estimated by properly weighting individual observations. The sampling weights take care of the varying probabilities of selection across different strata. Under certain conditions, estimates' precision under stratified random sampling will be higher than under simple random sampling (lower standard errors may result from the estimation procedure). The strata for Enterprise Surveys are firm size, business sector, and geographic region within a country. Firm size levels are 5-19 (small), 20-99 (medium), and 100+ employees (large-sized firms). Since in most economies, the majority of firms are small and medium-sized, Enterprise Surveys oversample large firms since larger firms tend to be engines of job creation. Sector breakdown is usually manufacturing, retail, and other services. For larger economies, specific manufacturing sub-sectors are selected as additional strata on the basis of employment, value-added, and total number of establishments figures. Geographic regions within a country are selected based on which cities/regions collectively contain the majority of economic activity. Ideally the survey sample frame is derived from the universe of eligible firms obtained from the country’s statistical office. Sometimes the master list of firms is obtained from other government agencies such as tax or business licensing authorities. In some cases, the list of firms is obtained from business associations or marketing databases. In a few cases, the sample frame is created via block enumeration, where the World Bank “manually” constructs a list of eligible firms after 1) partitioning a country’s cities of major economic activity into clusters and blocks, 2) randomly selecting a subset of blocks which will then be enumerated. In surveys conducted since 2005-06, survey documentation which explains the source of the sample frame and any special circumstances encountered during survey fieldwork are included with the collected datasets. Obtaining panel data, i.e. interviews with the same firms across multiple years, is a priority in current Enterprise Surveys. When conducting a new Enterprise Survey in a country where data was previously collected, maximal effort is expended to re-interview as many firms (from the prior survey) as possible. For these panel firms, sampling weights can be adjusted to take into account the resulting altered probabilities of inclusion in the sample frame.

Original Source Notes: All surveys were administered using the Enterprise Surveys methodology as outlined in the Methodology page which can be found from www.enterprisesurveys.org.

Statistical Concept and Methodology: Firm-level surveys have been conducted since the 1990's by different units within the World Bank. Since 2005-06, most data collection efforts have been centralized within the Enterprise Analysis Unit. Surveys implemented by the Enterprise Analysis Unit follow the Global Methodology. Private contractors conduct the Enterprise Surveys on behalf of the World Bank. Due to sensitive survey questions addressing business-government relations and bribery-related topics, private contractors, rather than any government agency or an organization/institution associated with government, are hired by the World Bank to collect the data. Confidentiality of the survey respondents and the sensitive information they provide is necessary to ensure the greatest degree of survey participation, integrity and confidence in the quality of the data. Surveys are usually carried out in cooperation with business organizations and government agencies promoting job creation and economic growth, but confidentiality is never compromised. The Enterprise Survey is answered by business owners and top managers. Sometimes the survey respondent calls company accountants and human resource managers into the interview to answer questions in the sales and labor sections of the survey. Typically 1200-1800 interviews are conducted in larger economies, 360 interviews are conducted in medium-sized economies, and for smaller economies, 150 interviews take place. The manufacturing and services sectors are the primary business sectors of interest. This corresponds to firms classified with ISIC codes 15-37, 45, 50-52, 55, 60-64, and 72 (ISIC Rev.3.1). Formal (registered) companies with 5 or more employees are targeted for interview. Services firms include construction, retail, wholesale, hotels, restaurants, transport, storage, communications, and IT. Firms with 100% government/state ownership are not eligible to participate in an Enterprise Survey. Occasionally, for a few surveyed countries, other sectors are included in the companies surveyed such as education or health-related businesses. In each country, businesses in the cities/regions of major economic activity are interviewed. In some countries, other surveys, which depart from the usual Enterprise Survey methodology, are conducted. Examples include 1) Informal Surveys- surveys of informal (unregistered) enterprises, 2) Micro Surveys- surveys fielded to registered firms with less than five employees, and 3) Financial Crisis Assessment Surveys- short surveys administered by telephone to assess the effects of the global financial crisis of 2008-09. The Enterprise Surveys Unit uses two instruments: the Manufacturing Questionnaire and the Services Questionnaire. Although many questions overlap, some are only applicable to one type of business. For example, retail firms are not asked about production and nonproduction workers. The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance. The mode of data collection is face-to-face interviews.

Aggregation method: Unweighted average

Periodicity: Annual