This page summarizes Enterprise Surveys data for Nigeria. The graphs below provide an overview of the sample and highlight the biggest obstacles experienced by private sector firms in Nigeria. The 12 tables below the graphs summarize key factual indicators at the country and regional levels for each of the business environment topics. A few subjective indicators are also available.

 

NUMBER OF FIRMS SURVEYED

2,676

Business owners and top managers in 2,676 firms were interviewed from April 2014 through February 2015.

Characteristics of Firms Surveyed

Printing & Publishing: 138 Non-Metallic Mineral Products: 149 Fabricated Metal Products: 127 Furniture: 147 Manufacturing Panel: 321 Other Manufacturing: 232 Services of Motor Vehicles: 167 Wholesale: 118 Garments: 130 Food: 183 Transport: 95 Other Services: 67 Other Services Panel: 228 Hotels & Restaurants: 122 Retail: 218 Retail Panel: 234 Printing & Publishing: 138 Non-Metallic Mineral Products: 149 Fabricated Metal Products: 127 Furniture: 147 Manufacturing Panel: 321 Garments: 130 Food: 183 Transport: 95 Other Services: 67 Other Services Panel: 228 Food: 183 Food: 183 Garments: 130 Garments: 130 Printing & Publishing: 138 Printing & Publishing: 138 Non-Metallic Mineral Products: 149 Non-Metallic Mineral Products: 149 Fabricated Metal Products: 127 Fabricated Metal Products: 127 Furniture: 147 Furniture: 147 Manufacturing Panel: 321 Manufacturing Panel: 321 Other Manufacturing: 232 Other Manufacturing: 232 Services of Motor Vehicles: 167 Services of Motor Vehicles: 167 Wholesale: 118 Wholesale: 118 Retail Panel: 234 Retail Panel: 234 Retail: 218 Retail: 218 Hotels & Restaurants: 122 Hotels & Restaurants: 122 Other Services Panel: 228 Other Services Panel: 228 Other Services: 67 Other Services: 67 Transport: 95 Transport: 95 Small (5-19): 1,753 Large (100+): 189 Medium (20-99): 734 Small (5-19): 1,753 Large (100+): 189 Medium (20-99): 734 Small (5-19): 1,753 Small (5-19): 1,753 Medium (20-99): 734 Medium (20-99): 734 Large (100+): 189 Large (100+): 189 Kano: 200 Abuja: 151 Anambra: 149 Kaduna: 138 Cross river: 136 Kebbi: 133 Nasarawa: 130 Ogun: 130 Gombe: 126 Katsina: 125 Lagos: 282 Sokoto: 115 Oyo: 119 Jigawa: 123 Zamfara: 123 Enugu: 124 Abia: 124 Niger: 124 Kwara: 124 Kano: 200 Abuja: 151 Anambra: 149 Kaduna: 138 Cross river: 136 Kebbi: 133 Lagos: 282 Sokoto: 115 Oyo: 119 Lagos: 282 Lagos: 282 Kano: 200 Kano: 200 Abuja: 151 Abuja: 151 Anambra: 149 Anambra: 149 Kaduna: 138 Kaduna: 138 Cross river: 136 Cross river: 136 Kebbi: 133 Kebbi: 133 Nasarawa: 130 Nasarawa: 130 Ogun: 130 Ogun: 130 Gombe: 126 Gombe: 126 Katsina: 125 Katsina: 125 Kwara: 124 Kwara: 124 Niger: 124 Niger: 124 Abia: 124 Abia: 124 Enugu: 124 Enugu: 124 Zamfara: 123 Zamfara: 123 Jigawa: 123 Jigawa: 123 Oyo: 119 Oyo: 119 Sokoto: 115 Sokoto: 115

NUMBER OF FIRMS SURVEYED

2,676

After being presented with a list of 15 business environment obstacles, business owners and top managers in 2,676 firms were asked to choose the biggest obstacle to their business.

Ranking of the Top Business Environment Obstacle for Firms

% firms choosing tax administration as the biggest obstacle: 1.6 % firms choosing trade regulations as the biggest obstacle: 2.2 % firms choosing access to land as the biggest obstacle: 2.6 % firms choosing the informal sector as the biggest obstacle: 4.3 % firms choosing political instability as the biggest obstacle: 4.4 % firms choosing transportation as the biggest obstacle: 5.7 % firms choosing tax rates as the biggest obstacle: 5.9 % firms choosing corruption as the biggest obstacle: 12.7 % firms choosing electricity as the biggest obstacle: 27.2 % firms choosing access to finance as the biggest obstacle: 30.2

ECONOMY OVERVIEW

Country Highlights summarize the key findings from the Enterprise Survey

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Country Profiles provide key investment climate indicators for a country with benchmarks against their respective regional and income groups

Nigeria Country Profile

Nigeria Country Profile

902.7KB pdf file

REGION:
Sub-Saharan Africa
INCOME CATEGORY:
Lower middle income
POPULATION:
182,201,962
GNI PER CAPITA (US $):
2,820

Resources

Custom Data Set

Custom Data Set

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

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Indicator Nigeria Sub-Saharan Africa All Countries 2  
Bribery incidence (percent of firms experiencing at least one bribe payment request) Percent of firms experiencing at least one bribe payment request during 6 transactions dealing with utilities access, permits, licences, and taxes.

28.9 22.7 17.7  
Bribery depth (% of public transactions where a gift or informal payment was requested) Bribery depth is the percentage of transactions (out of 6 transactions dealing with utilities access, permits, licences, and taxes) where a gift or informal payment was requested.

26.0 17.4 13.8  
Percent of firms expected to give gifts in meetings with tax officials Percent of firms expected to give gifts or an informal payment in meetings with tax officials.

25.9 17.2 12.9  
Percent of firms expected to give gifts to secure government contract Percent of establishments that consider that firms with characteristics similar to theirs are making informal payments or giving gifts to public officials to secure government contract.

28.6 33.8 28.9  
Value of gift expected to secure a government contract (% of contract value) Percentage of the contract value expected as a gift to secure a government contract. Only firms that have confirmed that they have secured or attempted to secure a government contract in the last 12 months were required to answer this question.

1.6 2.1 1.7  
Percent of firms expected to give gifts to get an operating license Percent of firms expected to give gifts or an informal payment to get an operating license.

24.2 16.1 14.4  
Percent of firms expected to give gifts to get an import license Percent of firms expected to give gifts or an informal payment to get an import license.

40.7 16.8 14.2  
Percent of firms expected to give gifts to get a construction permit Percent of firms expected to give gifts or an informal payment to get a construction permit.

24.4 25.9 23.3  
Percent of firms expected to give gifts to get an electrical connection Percent of firms expected to give gifts or an informal payment to get an electrical connection.

32.9 22.5 16.1  
Percent of firms expected to give gifts to get a water connection Percent of firms expected to give gifts or an informal payment to get a water connection.

35.7 23.3 15.9  
Percent of firms expected to give gifts to public officials "to get things done" Percent of establishments that consider that firms with characteristics similar to theirs are making informal payments or giving gifts to public officials to "get things done” with regard to customs, taxes, licenses, regulations, services, etc.

55.3 25.9 22.0  
Percent of firms identifying corruption as a major constraint Percent of firms identifying corruption as a major constraint. The computation of the indicator is based on the rating of the obstacle as a potential constraint to the current operations of the establishment.

44.8 41.3 32.7  
Percent of firms identifying the courts system as a major constraint Percent of firms identifying the courts system as a major constraint. The computation of the indicator is based on the rating of the obstacle as a potential constraint to the current operations of the establishment.

4.0 18.7 14.6  
  • 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 (http://www.enterprisesurveys.org), The World Bank.