This page summarizes Enterprise Surveys data for Sweden. The graphs below provide an overview of the sample and highlight the biggest obstacles experienced by private sector firms in Sweden. 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 January 2014 through November 2014.

Characteristics of Firms Surveyed

Fabricated Metal Products: 115 Machinery & Equipment: 111 Other Manufacturing: 111 Other Services: 89 Retail: 95 Services of Motor Vehicles: 79 Fabricated Metal Products: 115 Machinery & Equipment: 111 Other Manufacturing: 111 Other Services: 89 Fabricated Metal Products: 115 Fabricated Metal Products: 115 Machinery & Equipment: 111 Machinery & Equipment: 111 Other Manufacturing: 111 Other Manufacturing: 111 Services of Motor Vehicles: 79 Services of Motor Vehicles: 79 Retail: 95 Retail: 95 Other Services: 89 Other Services: 89 Small (5-19): 199 Large (100+): 114 Medium (20-99): 287 Small (5-19): 199 Large (100+): 114 Medium (20-99): 287 Small (5-19): 199 Small (5-19): 199 Medium (20-99): 287 Medium (20-99): 287 Large (100+): 114 Large (100+): 114 LinköPing, ÖRebro, Karlstad, VäSteråS: 179 BoråS, GöTeborg, JöNköPing, TrollhäTtan: 175 Stockholm-Solna: 119 Malmö-Lund: 127 LinköPing, ÖRebro, Karlstad, VäSteråS: 179 BoråS, GöTeborg, JöNköPing, TrollhäTtan: 175 Stockholm-Solna: 119 LinköPing, ÖRebro, Karlstad, VäSteråS: 179 LinköPing, ÖRebro, Karlstad, VäSteråS: 179 BoråS, GöTeborg, JöNköPing, TrollhäTtan: 175 BoråS, GöTeborg, JöNköPing, TrollhäTtan: 175 Malmö-Lund: 127 Malmö-Lund: 127 Stockholm-Solna: 119 Stockholm-Solna: 119

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

Business licenses and permits: 1.2 Transportation: 4.7 Tax rates: 6.1 Access to finance: 6.7 Practices of the informal sector: 7.0 Crime, theft and disorder: 8.3 Political instability: 8.7 Access to land: 10.5 Labor regulations: 17.5 Inadequately educated workforce: 27.8

ECONOMY OVERVIEW

Country Highlights summarize the key findings from the Enterprise Survey

479.1KB pdf file

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

Sweden Country Profile

Sweden Country Profile

1026.2KB pdf file

REGION:
High income: OECD
INCOME CATEGORY:
High income
POPULATION:
9,798,871
GNI PER CAPITA (US $):
57,810

Resources

Custom Data Set

Custom Data Set

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

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Indicator Sweden High income: OECD 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.

1.9 1.9 17.8  
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.

1.5 1.3 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.

0.3 0.7 13.0  
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.

0 14.3 29.1  
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.

0 1.8 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.

5.4 3.3 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.

0 1.1 14.7  
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.

1.6 2.7 23.6  
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.

3.1 2.4 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.

1.0 0.3 16.3  
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.

n.a. 11.2 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.

2.7 10.5 32.9  
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.

1.0 6.2 14.8  
  • 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.