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

410

Business owners and top managers in 410 firms were interviewed from May 2013 through July 2014.

Characteristics of Firms Surveyed

Manufacturing: 139 Construction: 72 Other Services: 135 Retail: 64 Manufacturing: 139 Construction: 72 Other Services: 135 Manufacturing: 139 Manufacturing: 139 Construction: 72 Construction: 72 Retail: 64 Retail: 64 Other Services: 135 Other Services: 135 Small (5-19): 256 Large (100+): 31 Medium (20-99): 123 Small (5-19): 256 Large (100+): 31 Medium (20-99): 123 Small (5-19): 256 Small (5-19): 256 Medium (20-99): 123 Medium (20-99): 123 Large (100+): 31 Large (100+): 31 Kabul: 128 Mazar-E-Sharif: 74 Jalalabad: 71 Kandahar: 68 Herat: 69 Kabul: 128 Mazar-E-Sharif: 74 Kandahar: 68 Kabul: 128 Kabul: 128 Mazar-E-Sharif: 74 Mazar-E-Sharif: 74 Jalalabad: 71 Jalalabad: 71 Herat: 69 Herat: 69 Kandahar: 68 Kandahar: 68

NUMBER OF FIRMS SURVEYED

410

After being presented with a list of 15 business environment obstacles, business owners and top managers in 410 firms were asked to choose the biggest obstacle to their business.

Ranking of the Top Business Environment Obstacle for Firms

% firms choosing trade regulations as the biggest obstacle: 2.4 % firms choosing poorly educated workers as the biggest obstacle: 2.5 % firms choosing transportation as the biggest obstacle: 4.4 % firms choosing tax rates as the biggest obstacle: 5.0 % firms choosing crime and disorder as the biggest obstacle: 6.0 % firms choosing electricity as the biggest obstacle: 10.2 % firms choosing access to finance as the biggest obstacle: 12.1 % firms choosing access to land as the biggest obstacle: 13.5 % firms choosing corruption as the biggest obstacle: 16.2 % firms choosing political instability as the biggest obstacle: 24.9

ECONOMY OVERVIEW

Country Highlights summarize the key findings from the Enterprise Survey

347.9KB pdf file

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

Afghanistan Country Profile

Afghanistan Country Profile

908.1KB pdf file

REGION:
South Asia
INCOME CATEGORY:
Low income
POPULATION:
32,526,562
GNI PER CAPITA (US $):
630

Resources

Custom Data Set

Custom Data Set

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

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Indicator Afghanistan South Asia All Countries 2  
Percent of firms offering formal training Percent of firms offering formal training programs for its permanent, full-time employees.

31.7 28.2 33.8  
Proportion of workers offered formal training (%)* Percentage of permanent, full-time employees that have received formal training.

29.0 49.6 53.4  
Years of the top manager's experience working in the firm's sector Years of the top manager's experience working in the firm's sector.

13.4 14.6 17.0  
Number of workers Number of workers, including permanent and temporary, with the number of temporary workers adjusted for the amount of months employed.

24.9 60.1 37.7  
Proportion of permanent workers (out of all workers) Proportion of permanent workers (out of all workers)

93.1 93.8 94.9  
Proportion of temporary workers (out of all workers) Proportion of temporary workers (out of all workers)

6.9 6.2 5.1  
Proportion of production workers (out of all permanent workers)* Proportion of production workers (out of all permanent workers)*

70.7 74.2 72.6  
Proportion of skilled workers (out of all production workers) (%)* Proportion of skilled workers (out of all production workers) (%)*

54.9 74.5 74.1  
Percent of firms identifying labor regulations as a major constraint Percent of firms identifying labor regulations 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.

11.0 9.8 10.7  
Percent of firms identifying an inadequately educated workforce as a major constraint Percent of firms identifying an inadequately educated workforce 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.

52.5 20.2 21.3  
  • 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.