This page summarizes Enterprise Surveys data for Greece. The graphs below provide an overview of the sample and highlight the biggest obstacles experienced by private sector firms in Greece. 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 September 2018 through April 2019.

Characteristics of Firms Surveyed

Food: 113 Fabricated Metal Products: 87 Other Manufacturing: 115 Other Services: 161 Retail: 124 Food: 113 Fabricated Metal Products: 87 Other Manufacturing: 115 Other Services: 161 Food: 113 Food: 113 Fabricated Metal Products: 87 Fabricated Metal Products: 87 Other Manufacturing: 115 Other Manufacturing: 115 Retail: 124 Retail: 124 Other Services: 161 Other Services: 161 Small (5-19): 267 Large (100+): 132 Medium (20-99): 201 Small (5-19): 267 Large (100+): 132 Small (5-19): 267 Small (5-19): 267 Medium (20-99): 201 Medium (20-99): 201 Large (100+): 132 Large (100+): 132 Attica: 155 Northern Greece: 151 Central Greece: 144 Aegean Islands, Crete: 150 Attica: 155 Northern Greece: 151 Central Greece: 144 Attica: 155 Attica: 155 Northern Greece: 151 Northern Greece: 151 Aegean Islands, Crete: 150 Aegean Islands, Crete: 150 Central Greece: 144 Central Greece: 144

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 crime and disorder as the biggest obstacle: 1.0 % firms choosing business licensing as the biggest obstacle: 1.7 % firms choosing the informal sector as the biggest obstacle: 1.8 % firms choosing corruption as the biggest obstacle: 2.1 % firms choosing labor regulations as the biggest obstacle: 3.6 % firms choosing poorly educated workers as the biggest obstacle: 5.0 % firms choosing tax administration as the biggest obstacle: 5.6 % firms choosing access to finance as the biggest obstacle: 16.1 % firms choosing political instability as the biggest obstacle: 20.2 % firms choosing tax rates as the biggest obstacle: 40.3

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

Greece Country Profile

Greece Country Profile

451.2KB pdf file

REGION:
Europe & Central Asia
INCOME CATEGORY:
High income
POPULATION:
10,746,740
GNI PER CAPITA (US $):
18,960

Resources

Custom Data Set

Custom Data Set

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

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Indicator Greece Europe & Central Asia All Countries 2  
Percent of firms experiencing electrical outages Percent of firms experiencing electrical outages during the previous fiscal year

40.4 38.0 57.3  
Number of electrical outages in a typical month Number of power outages in a typical month.

0.9 1.5 7.1  
If there were outages, average duration of a typical electrical outage (hours) If there were outages, duration of a typical power outage, in hours.

1.3 3.3 4.8  
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.

0.3 2.2 5.1  
Percent of firms owning or sharing a generator Percent of firms owning or sharing a generator.

21.4 17.5 34.7  
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.

1.8 9.9 20.2  
Days to obtain an electrical connection (upon application) The wait, in days, experienced to obtain electrical connection from the day this establishment applied for it to the day it received the service.

11.6 32.9 38.5  
Percent of firms identifying electricity as a major constraint Percent of firms identifying electricity 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.

44.9 20.1 30.4  
Percent of firms experiencing water insufficiencies Percent of firms experiencing water insufficiencies during the previous fiscal year

3.4 6.7 14.8  
Number of water insufficiencies in a typical month* Number of water shortages in a typical month.

0.1 0.3 1.2  
Proportion of products lost to breakage or spoilage during shipping to domestic markets (%)* Products lost to breakage or spoilage during shipping to domestic markets, as a percentage of total product value.

0.3 0.7 1.3  
Percent of firms identifying transportation as a major constraint Percent of firms identifying transportation 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.

26.4 10.2 18.4  
  • 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 2011-2018, 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.