This page summarizes Enterprise Surveys data for Peru. The graphs below provide an overview of the sample and highlight the biggest obstacles experienced by private sector firms in Peru. 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

1,000

Business owners and top managers in 1,000 firms were interviewed from April 2010 through April 2011.

Characteristics of Firms Surveyed

Textiles & Garments: 165 Chemicals, Plastics & Rubber: 153 Basic Metals/Fabricated Metals/Machinery & Equip.: 163 Food: 162 Other Services: 136 Retail: 104 Other Manufacturing: 117 Textiles & Garments: 165 Chemicals, Plastics & Rubber: 153 Food: 162 Other Services: 136 Food: 162 Food: 162 Textiles & Garments: 165 Textiles & Garments: 165 Chemicals, Plastics & Rubber: 153 Chemicals, Plastics & Rubber: 153 Basic Metals/Fabricated Metals/Machinery & Equip.: 163 Basic Metals/Fabricated Metals/Machinery & Equip.: 163 Other Manufacturing: 117 Other Manufacturing: 117 Retail: 104 Retail: 104 Other Services: 136 Other Services: 136 Small (5-19): 318 Large (100+): 303 Medium (20-99): 379 Small (5-19): 318 Large (100+): 303 Medium (20-99): 379 Small (5-19): 318 Small (5-19): 318 Medium (20-99): 379 Medium (20-99): 379 Large (100+): 303 Large (100+): 303 Chiclayo: 78 Trujillo: 88 Arequipa: 127 Lima: 707 Lima: 707 Chiclayo: 78 Trujillo: 88 Lima: 707 Lima: 707 Lima: 707 Arequipa: 127 Arequipa: 127 Trujillo: 88 Trujillo: 88 Chiclayo: 78 Chiclayo: 78

NUMBER OF FIRMS SURVEYED

1,000

After being presented with a list of 15 business environment obstacles, business owners and top managers in 1,000 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: 3.2 % firms choosing electricity as the biggest obstacle: 3.6 % firms choosing access to finance as the biggest obstacle: 3.7 % firms choosing tax rates as the biggest obstacle: 5.6 % firms choosing business licensing as the biggest obstacle: 8.1 % firms choosing corruption as the biggest obstacle: 8.2 % firms choosing labor regulations as the biggest obstacle: 9.2 % firms choosing crime and disorder as the biggest obstacle: 10.2 % firms choosing poorly educated workers as the biggest obstacle: 13.4 % firms choosing the informal sector as the biggest obstacle: 28.9

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

Peru Country Profile

Peru Country Profile

394KB pdf file

REGION:
Latin America & Caribbean
INCOME CATEGORY:
Upper middle income
POPULATION:
31,773,839
GNI PER CAPITA (US $):
5,950

Resources

Custom Data Set

Custom Data Set

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

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Indicator Peru Latin America & Caribbean 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.

15.9 9.5 18.0  
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.

8.4 6.7 14.0  
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.

8.4 6.8 13.3  
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.

28.5 19.8 29.5  
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 1.0 1.8  
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.

12.4 7.1 14.3  
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.

0.9 4.9 14.4  
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.

20.5 14.1 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.

1.3 3.5 16.2  
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.

4.0 9.5 16.2  
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.

21.4 10.8 22.5  
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.

44.5 39.9 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.

28.7 24.8 14.5  
  • 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.