Statistical Data on Women Entrepreneurs in Europe

Similar documents
Statistical Data on Women Entrepreneurs in Europe

Survey on the access to finance of enterprises (SAFE) Analytical Report 2015

Pan-European opinion poll on occupational safety and health

TRADE UNION MEMBERSHIP Statistical Bulletin JUNE 2015

Employment and Wages for Alberta Workers with a Post-Secondary Education

A Labour Economic Profile of New Brunswick

Do SMEs create more and better jobs?

Women in the Workforce

Retirement Readiness in New York City: Trends in Plan Sponsorship, Participation and Income Security

The Secure Choice Retirement Savings Program. Compiled by the Office of the Illinois State Treasurer Treasurer Michael W. Frerichs

Aboriginal People and the Labour Market: Estimates from the Labour Force Survey,

Workforce Training Results Report December 2008

Replacement Migration

*Estonian Education tree Haridusepuu_2010_ENG[1].pdf

How Many Students Finish Secondary Education?

Labour Market Bulletin

Financial Scrutiny Unit Briefing Earnings in Scotland 2014

CONTENTS: bul BULGARIAN LABOUR MIGRATION, DESK RESEARCH, 2015

Research Report May Which Countries in Europe Have the Best Gender Equality in the Workplace?

Mexico. While 15-year-old Mexicans are doing better in school. enrolment rates for 15-19year-olds remain very low.

Business in Ireland. Published by the Stationery Office, Dublin, Ireland. Available from:

SKYE & LOCHALSH ECONOMIC UPDATE OCTOBER 2003

Page 1 GDP by Statistical Regions Year Gross Domestic Product by Statistical Regions NUTS in Albania, year 2013

INTERNATIONAL COMPARISONS OF PART-TIME WORK

BUSINESS STATISTICS SNAPSHOT UPDATE April 2015

The Austrian Federal Civil Service 2012

2015 Annual Alberta Labour Market Review. Employment. Unemployment. Economic Regions. Migration. Indigenous People. Industries

Labour Force Survey: Q2/2015

This briefing is divided into themes, where possible 2001 data is provided for comparison.

OCCUPATIONS & WAGES REPORT

Under embargo until 11 September, at 11:00 am Paris time

Labour Market Bulletin

DAWSON CITY LABOUR SKILLS INVENTORY SURVEY

Profile of Canadian Environmental Employment

UK Skill Levels and International Competitiveness, Evidence Report 85 August 2014

Quarterly Employment Survey: September 2011 quarter

LABOUR PRODUCTIVITY AND UNIT LABOUR COST Economic development Employment Core indicator

GDP per capita, consumption per capita and comparative price levels in Europe

How Does Educational Attainment Affect Participation in the Labour Market?

Primary School Net and Gross Attendance Rates, Kenya. Over-Age, Under-Age, and On-Time Students in Primary School, Kenya

Analysis of statistics 2015

New data from Enterprise Surveys indicate that firms in Turkey operate at least as well as

Early Childhood Education and Care

Taxation trends in the European Union EU27 tax ratio fell to 39.3% of GDP in 2008 Steady decline in top corporate income tax rate since 2000

The Structure of the European Education Systems 2015/16

In 2013, 75.9 million workers age 16 and older in the. Characteristics of Minimum Wage Workers, Highlights CONTENTS

2013 SMEs Access to Finance survey. Analytical Report

Primary School Net and Gross Attendance Rates, India. Primary School Net Attendance Rate in Urban and Rural Areas, India

education. In contrast, workers engaged in fishing worked an average of 61.7 hours per

LMF1.2: Maternal employment rates

Cornwall s economy at a glance

Employment outlook. Cyprus: Forecast highlights. Between now and 2025:

Analysis of Employee Contracts that do not Guarantee a Minimum Number of Hours

Survey on the access to finance of enterprises (SAFE) Analytical Report 2014

Eurobodalla. Area Profile. Key Industry: Tourism & accommodation, Retail, Health & Community Services, Education

The Gender Wage Gap by Occupation 2014

CSI Publications. The State of Business Model Innovation in Norway. By: Tina Saebi and Krysta Alexa Singh. Theme 1: Business Model Innovation

COMMISSION STAFF WORKING DOCUMENT. Situation of young people in the EU. Accompanying the document

Bridging the Gap STEM Jobs in Ohio. Cassie Barlow, PhD Executive Director Center for Workforce Development Wright State University June 2015

Experiences from participation in JA- YE Company Programmes

MYOB Australian Small Business Survey

Office of Industrial Relations Workers Compensation Regulator. Workers Compensation Regulator Statistics Report

THE STATUS OF STATISTICS ON WOMEN AND MEN S ENTREPRENEURSHIP IN THE UNECE REGION

Attachment: Occupational Health and Safety Results

IV. DEMOGRAPHIC PROFILE OF THE OLDER POPULATION

The traditional work schedule for an

Exploring the UK Freelance Workforce in 2015

Small Business, equity and flexibility data

The Retirement Savings Paradigm. Factors Influencing Saving

The income of the self-employed FEBRUARY 2016

Statistical Bulletin 2008/09. New South Wales Workers Compensation

The Gender Wage Gap by Occupation 2015

Over-Age, Under-Age, and On-Time Students in Primary School, Tanzania

[Written by the Centre for Strategy and Evaluation Services] [May 2015]

ANNUAL HOURS WORKED. Belgium:

Prince Edward Island Labour Force Survey 2015 Annual Report. Highlights: Labour Force Characteristics P.E.I

. Key perceptions of internally displaced people in Ukraine.

193/ December Hourly labour costs in the EU28 Member States, 2012 (in )

BUSINESS POPULATION ESTIMATES FOR THE UK AND REGIONS

Financing Characteristics

The energy industry and energy price issues in Slovakia during recent years 1

2010 Occupational Health and Safety Data Analysis

Pearson Student Mobile Device Survey 2013

How to submit a good tender for BTSF. BTSF Guideline for Tender

THE CHARACTERISTICS AND QUALITY OF SERVICE SECTOR JOBS

HOW TO TACKLE DEMOGRAPHIC CHANGE? PAST AND FUTURE CHALLENGES

Ireland and the EU Economic and Social Change

Annual Employment Survey 2015

EU-10 AND THE CAP CONTENTS

NATIONAL SURVEY OF HOME EQUITY LOANS

WORK-RELATED INJURIES

Work-related injuries experienced by young workers in Australia,

EMPLOYABILITY TRENDS

REPORT. Potential Implications of Admission Criteria for EU Nationals Coming to the UK.

COUNTRY NOTE GERMANY

Energy prices in the EU Household electricity prices in the EU rose by 2.9% in 2014 Gas prices up by 2.0% in the EU

How To Pay For Pension And Disability Insurance

There are 6 base years in China GDP estimation history. The base year of

Ageing OECD Societies

Transcription:

Statistical Data on Women Entrepreneurs in Europe Country Fiche Estonia September 2014 Enterprise and Industry

Summary This country fiche is prepared in the context of the project Women entrepreneurs in Europe carried out for DG Enterprise and Industry of the European Commission. The project objective was to collect, analyse, and systematically present the most recent data on women entrepreneurs in the EU-28 and Albania, Former Yugoslav Republic of Macedonia (FYROM), Iceland, Israel, Turkey, Liechtenstein, Montenegro, Norway and Serbia (Europe-37). The key findings are presented in the report Women entrepreneurs in Europe. Each country fiche is based on national and international data sources, such as the Labour Force Survey. For comparison, data from international harmonised databases have been used where possible 1. In contrast to the main report of the study, no estimations or extrapolations are included. In 2012, around 29% of all entrepreneurs in Estonia were women compared to 31% in the EU-28. The majority of these women entrepreneurs (72%) were solo entrepreneurs. Women entrepreneurs constituted about 5% of the women in the active labour force (entrepreneurship rate). This was significantly lower than the EU-28 average entrepreneurship rate (10%). The proportion of men entrepreneurs of men in the active labour force in Estonia (12%) was also lower than the EU-28 average. Most women entrepreneurs in Estonia work full-time. In 2012, about 26% of women entrepreneurs worked part-time in their enterprises and this percentage was lower than the EU-28 average (30%). In 2012, the highest proportions of women entrepreneurs in the total number of entrepreneurs in a sector were in the sector group, of other activities, professional, scientific and technical activities, and wholesale and retail trade. The lowest proportions were in the sector group construction, and agriculture, forestry and fishing. Compared to the EU-28, the percentages were higher in professional, scientific and technical activities, transportation and storage and lower in arts, entertainment and recreation. Women entrepreneurs in Estonia are slightly older than men entrepreneurs. In 2012, the proportion in the age group 25-49 years was the same as for men entrepreneurs, and the proportion in the group 65 years and over, was higher. On average women entrepreneurs are younger than men entrepreneurs in the EU. The average education level of women entrepreneurs was higher than that of men entrepreneurs. Compared to the total EU, women entrepreneurs in Estonia had a higher education level. In 2012, the average working week for women entrepreneurs in Estonia was 35 hours (36 hours in the EU-28). Part-time women entrepreneurs worked on average 18 hours, which was on par with the part-time women entrepreneurs in the EU-28 (18 hours). 1 This can mean that for comparison, other definitions are used than normally used at national level. 2

In 2012, the mean net income of women entrepreneurs ( 8,688) was slightly higher than that of men entrepreneurs ( 8,118) in Estonia. Compared to women entrepreneurs in EU-28, the income of the Estonian women entrepreneurs was lower. I Number and proportion of women entrepreneurs 2 In 2012, Estonia had 15,000 women entrepreneurs, including 4,000 who employed personnel 3. These women entrepreneurs amounted to 29% of the total entrepreneurs and 18% of all employers, compared to the total EU proportions of 31% and 26%, respectively. The majority of women entrepreneurs (72%) were solo entrepreneurs 4. Since 2008, the number of women entrepreneurs in Estonia has decreased by 3% and the number of men entrepreneurs increased by 7%.The EU average of women entrepreneurs increased by 2% and the EU-average for men decreased by 1%. The number of women employing personnel decreased by 18% in Estonia, while the number of men entrepreneurs with personnel increased by 12%. The average decrease in women entrepreneurs who were employers in Estonia was higher than the EU-28 average for the same period. table 0.1 The number of entrepreneurs, employers and solo entrepreneurs in Estonia and EU-28 by gender, 2008 and 2012 (x1000) Entrepreneurs Employers Solo entrepreneurs Total 2012 % change Total 2012 % change Total 2012 % change 2008-2012 2008-2012 2008-2012 EU28 Men 22,842-1% 6,976-9% 15,866 2% EU28 Women 10,257 2% 2,397-2% 7,859 3% EE Men 38 7% 19 12% 19 3% EE Women 15-3% 4-18% 11 4% Source: Panteia, based on Labour Force Survey Eurostat Entrepreneurship rate The entrepreneurship rate is the percentage of entrepreneurs in the active labour force. In 2012, women entrepreneurs constituted about 5% of the women in the active labour force in Estonia. This was significantly lower than the EU-28 average (10%). The percentage of men entrepreneurs of men in the active labour force in Estonia (12%) was lower than the EU-28 average (19%). The percentage of women employers of women in the active labour force was 1% compared to 2% in the EU-28 average. In the period 2003-2012, the percentage of women entrepreneurs of women in the active labour force remained at about 5%. The percentage of employers in the active labour force decreased from 2% to 1%. 2 Entrepreneurs are defined as persons aged 15 years and older who work in their own business, farm or professional practice to make a profit, and spend time on the operation of a business, or are in the process of setting up a business. These entrepreneurs consider the running of their enterprises to be their main activity. This definition is the same as the definition of a self-employed person in the Labour Force Survey (LSF) database of Eurostat. 3 Employers are persons who operate their own economic enterprise, or engage independently in a profession or trade. They employ one or more persons and/or family workers. 4 Solo entrepreneurs are persons who operate their own economic enterprise, or engage independently in a profession or trade. They do not hire employees nor are family workers or volunteers active in their enterprise. Solo entrepreneurs are also known as own account workers. 3

table 0.2 Percentage of entrepreneurs in the active labour force (entrepreneurship rate) by gender in Estonia and EU-28, 2003, 2008 and 2012 2003 2008 2012 EU28 Men 19% 19% 19% EU28 Women 10% 10% 10% EE Men 11% 10% 12% EE Women 5% 5% 5% Source: Panteia, based on Labour Force Survey Eurostat table 0.3 Percentage of employers in the active labour force by gender in Estonia and EU-28, 2003, 2008 and 2012 2003 2008 2012 EU28 Men 7% 6% 6% EU28 Women 3% 2% 2% EE Men 3% 5% 6% EE Women 2% 2% 1% Source: Panteia, based on Labour Force Survey Eurostat II Women entrepreneurs per sector In 2012, the highest proportions of women entrepreneurs in the total number of entrepreneurs in a sector were in the sector groups, of other activities, professional, scientific and technical activities, and wholesale and, retail trade. The lowest proportions were in the sector group construction, and agriculture, forestry and fishing. Compared to the EU-28, the percentages were higher in professional, scientific and technical activities, transportation and storage and lower in arts, entertainment and recreation. The proportions of women entrepreneurs of the total number of entrepreneurs by sector are presented for Estonia and the EU-28 in Figures 0.1 and 0.2, respectively. 4

figure 0.1 Percentage of women entrepreneurs of total number of entrepreneurs by sector in Estonia, 2012 Source: Panteia, based on Labour Force Survey Eurostat Note: missing bars means no data available 5

figure 0.2 Percentage of women entrepreneurs of total number of entrepreneurs by sector in EU-28, 2012 Source: Panteia, based on Labour Force Survey Eurostat 6

III Age of women entrepreneurs In Estonia women entrepreneurs are slightly older than men entrepreneurs. In 2012, the proportion in the age group 25-49 years was equal, and the proportion in the group 65 years and over, was higher. On average women entrepreneurs are younger than men entrepreneurs in the EU-28. figure 0.3 Percentage of entrepreneurs by gender and age in Estonia and the EU-28, 2003 and 2012 Source: Panteia based on Labour Force Survey Eurostat Note: empty bars means no data available IV Women entrepreneurs and education level In Estonia, the average education level of women entrepreneurs was higher than that of men entrepreneurs. In 2012, the proportion of women entrepreneurs with a high education level was higher than that of men entrepreneurs and the proportion in the middle education level was lower. Compared to the total EU, women entrepreneurs in Estonia were more highly educated. In the last 10 years the education level of women entrepreneurs has increased considerably in the EU-28. figure 0.4 Percentage of entrepreneurs by gender and education in Estonia and EU-28, 2003 and 2012 Source: Panteia based on Labour Force Survey Eurostat 7

V Part-time entrepreneurship In 2012, about 26% of women entrepreneurs worked part-time in their enterprise, which was lower than the EU-28 average (30%). In Estonia about 13% of all men entrepreneurs worked part-time. This percentage was on par with the EU-28 average (12%). The differences were similar for 2003 and 2008. figure 0.5 Percentage of part-time entrepreneurs by gender in Estonia and EU-28, 2003, 2008 and 2012 Source: Panteia based on Eurostat There are various reasons for entrepreneurs choosing to work part-time in their enterprises such as having another job, household activities, increasing age or study. In 2012, 4.8% of the total number of women entrepreneurs had a job in addition to being an entrepreneur while this was the case for 4.5% of the men entrepreneurs. These entrepreneurs considered being an entrepreneur as their main job. See figure 0.6. Compared to 2008, this percentage increased significantly for women entrepreneurs and increased slightly for men entrepreneurs. The average percentages for women and men entrepreneurs in the EU changed slightly. 8

figure 0.6 Percentage of total number of entrepreneurs with a second job in addition to their enterprise in Estonia and EU-28, 2008 and 2012 Source: Panteia based on Labour Force Survey Eurostat To gain insight into the extent to which employees in a country are entrepreneurs as a second activity, figure 0.7 presents the number of employees who are entrepreneurs as a second activity as a ratio of those persons who are entrepreneurs as main activity. Where the ratio is 100%, the number of employees who are entrepreneurs as their second activity is equal to the number of persons who are entrepreneur as main activity. In case the ratio is 0%, there are no employees who run an enterprise next to their employee-ship. In 2012 this ratio was 20.4% for women entrepreneurs and 7.9% for men entrepreneurs. Compared to the EU-28 the ratios for women and men were higher. Compared to 2008, the ratio for women entrepreneurs increased significantly and decreased for men entrepreneurs. The average EU ratio for women and men entrepreneurs only changed slightly. figure 0.7 Entrepreneurs with their enterprise as a second job (employee as main activity) related to entrepreneurs with their enterprise as main activity in Estonia and EU-28, 2008 and 2012 Source: Panteia based on Labour Force Survey Eurostat 9

VI Working hours per week In 2012, women entrepreneurs in Estonia worked on average fewer hours than men entrepreneurs, 35 hours and 40 hours, respectively. Full-time women entrepreneurs also worked fewer hours than men entrepreneurs (41 and 43 hours respectively). Part-time women entrepreneurs worked on average 18 hours, a week in Estonia, which was on par with the average for part-time women entrepreneurs in the total EU- 28 (18 hours). There was a small difference in working hours between men and women part-time entrepreneurs in the Estonia. Employers have longer working weeks than did solo entrepreneurs. figure 0.8 Average number of hours worked per week by entrepreneurs by gender in Estonia and EU- 28, 2012 Source: Panteia based on Labour Force Survey Eurostat VII Characteristics of women-led enterprises and net income No data were available on the age, size and profitability of enterprises. In 2012, the mean net income of women entrepreneurs ( 8,688) was slightly higher than that of men entrepreneurs ( 8,118) in Estonia. Compared to women entrepreneurs in the EU-28 the income of Estonian women entrepreneurs was lower. In the EU-28 the mean net income of women entrepreneurs was lower than that of men entrepreneurs. The standard of living is lower in Estonia compared to the EU-28. 10

Figure 0.9 Mean net income entrepreneurs per year by gender in Estonia and EU-28, 2009-2012* * including compensations of family workers Source: Panteia, based on EU-Statistics on Income and Living Conditions (EU-SILC) Eurostat VIII Performance sectors with a relatively high proportion of women entrepreneurs About 35% of all women entrepreneurs were active in the sectors trade, administrative services, arts and entertainment, and in other service activities. In the sectors which are overrepresented by women entrepreneurs, the average annual growth in value added in volumes was minus 2.3% between 2009 and 2012, which was below the average (0.7%) for the period 2004-2012. The proportion of the net operating surplus (as a proxy of gross profits) in value added was below average in 2012 (28% versus 31%). 11

table 0.4 Performance sectors with above average proportion of women entrepreneurs in Estonia Industry Proportion of women entrepreneurs per sector Proportion of women entrepreneurs Annual growth value added (volumes) Proportion of net operating surplus in value added 2012 2012 2004-2012 2009-2012 2012 Trade 17% 31% 0.9% -2.6% 32% Accommodation & food services N/A N/A 5.5% -1.0% 16% Education N/A N/A 0.7% -0.9% 1% Administrative services 2% 21% 5.7% 0.8% 22% Human health and social services N/A N/A 1.5% -0.2% 3% Arts entertainment. recreation 2% 16% -0.5% -1.1% 14% Other services 13% N/A -0.5% -0.2% 11% Sub total 35% 23% 0.7% -2.3% 28% Other sectors 65% 31% 3.5% 0.5% 31% All sectors 100% 29% 3.0% 0.0% 31% Source: Labour Force Survey and National Accounts Eurostat Note: The main source used is Eurostat For more details see Appendix to the main report. Legal Notice This document has been prepared for the European Commission however it reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein. This report was developed by Panteia. The project was managed by Jacqueline Snijders. The core project team consisted of Wim Verhoeven, Sophie Doove, Amber van der Graaf, Niek Timmermans, Ton Kwaak, Jacqueline Snijders and André van Stel. 12