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

600

Business owners and top managers in 600 firms were interviewed from October 2018 through April 2019.

Characteristics of Firms Surveyed

Food: 103 Garments: 81 Other Manufacturing: 146 Other Services: 147 Retail: 123 Food: 103 Garments: 81 Other Manufacturing: 146 Other Services: 147 Food: 103 Food: 103 Garments: 81 Garments: 81 Other Manufacturing: 146 Other Manufacturing: 146 Retail: 123 Retail: 123 Other Services: 147 Other Services: 147 Small (5-19): 226 Large (100+): 171 Medium (20-99): 203 Small (5-19): 226 Large (100+): 171 Medium (20-99): 203 Small (5-19): 226 Small (5-19): 226 Medium (20-99): 203 Medium (20-99): 203 Large (100+): 171 Large (100+): 171 Minsk: 122 Brestskaya, Grodnenskaya: 121 Gomelskaya, Mogilevskaya: 121 Vitebskaya: 118 Minskaya: 118 Minsk: 122 Brestskaya, Grodnenskaya: 121 Gomelskaya, Mogilevskaya: 121 Vitebskaya: 118 Minsk: 122 Minsk: 122 Brestskaya, Grodnenskaya: 121 Brestskaya, Grodnenskaya: 121 Gomelskaya, Mogilevskaya: 121 Gomelskaya, Mogilevskaya: 121 Minskaya: 118 Minskaya: 118 Vitebskaya: 118 Vitebskaya: 118

NUMBER OF FIRMS SURVEYED

600

After being presented with a list of 15 business environment obstacles, business owners and top managers in 600 firms were asked to choose the biggest obstacle to their business.

Ranking of the Top Business Environment Obstacle for Firms

% firms choosing corruption as the biggest obstacle: 3.7 % firms choosing transportation as the biggest obstacle: 4.2 % firms choosing trade regulations as the biggest obstacle: 5.6 % firms choosing courts as the biggest obstacle: 6.0 % firms choosing business licensing as the biggest obstacle: 6.7 % firms choosing political instability as the biggest obstacle: 7.7 % firms choosing the informal sector as the biggest obstacle: 8.4 % firms choosing poorly educated workers as the biggest obstacle: 11.9 % firms choosing access to finance as the biggest obstacle: 17.1 % firms choosing tax rates as the biggest obstacle: 21.7

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

Belarus Country Profile

Belarus Country Profile

463.7KB pdf file

REGION:
Europe & Central Asia
INCOME CATEGORY:
Upper middle income
POPULATION:
9,498,264
GNI PER CAPITA (US $):
5,290

Resources

Custom Data Set

Custom Data Set

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

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Indicator Belarus Europe & Central Asia All Countries 2  
Senior management time spent dealing with the requirements of government regulation (%) Proportion of senior management’s time, in a typical week, that is spent dealing with the requirements imposed by government regulations (e.g. taxes, customs, labor regulations, licensing and registration, including dealings with officials, and completing forms).

13.3 11.5 9.4  
Percent of firms visited or required to meet with tax officials Percent of firms that were visited or required to meet with tax officials

17.1 52.6 56.6  
If there were visits, average number of visits or required meetings with tax officials If there were visits, average number of visits or required meetings with tax officials.

2.8 2.4 2.8  
Days to obtain an operating license The wait, in days, experienced to obtain an operating license from the day the establishment applied for it to the day it was granted.

38.0 26.5 28.7  
Days to obtain a construction-related permit The wait, in days, experienced to obtain a construction-related permit from the day the establishment applied for it to the day it was granted.

56.3 83.4 67.3  
Days to obtain an import license The wait, in days, experienced to obtain an import license from the day the establishment applied for it to the day it was granted.

70.4 16.1 17.5  
Percent of firms identifying tax rates as a major constraint Percent of firms identifying tax rates 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.

27.4 30.1 31.9  
Percent of firms identifying tax administration as a major constraint Percent of firms identifying tax administration 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.

3.0 16.6 22.3  
Percent of firms identifying business licensing and permits as a major constraint Percent of firms identifying business licensing and permits 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.

10.5 6.2 13.5  
  • 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 2009-2019, 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.