FACTOID # 12: 61.5% of Swedes work more than 40 hours per week, but just across the border in Norway only 15.8% of people work this long.
 
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Europe > Greece > Labor

GREEK LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
Agricultural workers > Female 20% [13th of 77]
Agricultural workers > Male 16% [34th of 78]
Compensation of employees > % of expense 24.87 % Time series [31st of 97]
Compensation of employees > current LCU 19904000000 Time series
Economic activity > Both sexes aged 15-19 20.38 [150th of 167]
Economic activity > Both sexes aged 20-24 65.65 [138th of 166]
Economic activity > Both sexes aged 25-29 79.86 [100th of 167]
Economic activity > Both sexes aged 30-34 80.65 [100th of 165]
Economic activity > Both sexes aged 35-39 80.27 [104th of 166]
Economic activity > Both sexes aged 40-44 76.05 [121st of 167]
Economic activity > Both sexes aged 45-49 72.01 [122nd of 163]
Economic activity > Both sexes aged 50-54 63.6 [128th of 166]
Economic activity > Both sexes aged 55-59 49.76 [141st of 166]
Economic activity > Both sexes aged 60-64 28.26 [133rd of 166]
Economic activity > Both sexes aged 65 plus 6.18 [142nd of 165]
Economic activity > Men aged 15-19 23.49 [150th of 164]
Economic activity > Men aged 20-24 71.55 [165th of 166]
Economic activity > Men aged 25-29 93.48 [128th of 165]
Economic activity > Men aged 30-34 96.8 [109th of 165]
Economic activity > Men aged 35-39 97.28 [103rd of 164]
Economic activity > Men aged 40-44 96.37 [115th of 163]
Economic activity > Men aged 45-49 93.79 [135th of 167]
Economic activity > Men aged 50-54 85.52 [149th of 165]
Economic activity > Men aged 55-59 69.02 [149th of 167]
Economic activity > Men aged 60-64 41.71 [136th of 165]
Economic activity > Men aged 65 plus 9.39 [141st of 162]
Economic activity > Women aged 15-19 17.1 [144th of 164]
Economic activity > Women aged 20-24 59.44 [104th of 166]
Economic activity > Women aged 25-29 65.51 [98th of 165]
Economic activity > Women aged 30-34 64.24 [100th of 167]
Economic activity > Women aged 35-39 63.49 [101st of 165]
Economic activity > Women aged 40-44 56.23 [114th of 165]
Economic activity > Women aged 45-49 50.27 [114th of 161]
Economic activity > Women aged 50-54 42.05 [116th of 166]
Economic activity > Women aged 55-59 31.23 [108th of 167]
Economic activity > Women aged 60-64 16.14 [118th of 165]
Economic activity > Women aged 65 plus 3.64 [129th of 167]
Employees, agriculture, female > % of female employment 13.9 % Time series [14th of 86]
Employees, agriculture, male > % of male employment 11.5 % Time series [24th of 86]
Employees, industry, female > % of female employment 10 % Time series [45th of 86]
Employees, industry, male > % of male employment 30.2 % Time series [35th of 86]
Employees, services, female > % of female employment 76.1 % Time series [30th of 86]
Employees, services, male > % of male employment 58.3 % Time series [21st of 86]
Employment in agriculture > % of total employment 12.4 % Time series [24th of 94]
Employment in industry > % of total employment 22.4 % Time series [33rd of 94]
Employment in services > % of total employment 65.1 % Time series [27th of 94]
employment rate > Source / date of > information 2003 OECD .
Female decision makers 25% [48th of 67]
Female economic activity 38% [126th of 156]
Female economic activity growth 7% [54th of 156]
Female professionals 47% [45th of 68]
Firing cost > weeks of wages 69.3 weeks of wages Time series [42nd of 164]
force participation rate, female > % of female population ages 15-64 55.97 % Time series [103rd of 184]
force participation rate, male > % of male population ages 15-64 78.81 % Time series [121st of 184]
force participation rate, total > % of total population ages 15-64 67.5 % Time series [110th of 184]
force with primary education > % of total 41.2 % Time series [9th of 48]
force with secondary education > % of total 37.5 % Time series [28th of 51]
force with tertiary education > % of total 20.1 % Time series [24th of 52]
force, female > % of total labor force 40.86 % Time series [103rd of 184]
force, total 5,147,345 Time series [70th of 184]
    force, total (per capita) 0.464 per capita Time series [72nd of 184]
Industrial workers > Female 12% [55th of 79]
Industrial workers > Male 29% [52nd of 79]
Labor force 4,920,000 Time series [61st of 132]
    Labor force (per capita) 459,542.942 per million people Time series [57th of 131]
Labor force > By occupation
agriculture 12%, industry 20%, services 68%
Labor force > By occupation > Agriculture 12% Time series [19th of 32]
Labor force > By occupation > Industry 20% Time series [13th of 29]
Labor force > By occupation > Services 68% Time series [10th of 29]
Long term unemployment 6.4% [3rd of 27]
Long term unemployment > Share 52.8% [3rd of 28]
Long-term unemployment > % of total unemployment 56.5 % Time series [3rd of 48]
Long-term unemployment, female > % of female unemployment 61 % Time series [2nd of 46]
Long-term unemployment, male > % of male unemployment 49.2 % Time series [4th of 46]
Minimum Age Convention, 1973 > Ratifications > Date March 14, 1986
Minimum Age Convention, 1973 > Ratifications > Minimum age 15 [52nd of 146]
Parental leave > Paid maternity leave 16 weeks
Regulation 67 [16th of 123]
Regulation > Employment Conditions 81 [49th of 123]
Regulation > Firing 43 [49th of 123]
Regulation > Hiring 78 [8th of 123]
regulations > % of managers surveyed ranking this as a major business constraint 7.58 % Time series [20th of 39]
Right to Organise and Collective Bargaining Convention > Ratifications > Date March 30, 1962
Rigidity of employment index 58 Time series [27th of 166]
Seafarers' Pensions Convention > Ratification Date December 2, 1986
Service workers > Female 67% [59th of 79]
Service workers > Male 54% [34th of 79]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 40.7 % Time series [84th of 174]
skills > % of managers surveyed ranking this as a major business constraint 8.5 % Time series [23rd of 38]
Strikes 29 [13th of 27]
Technicians in R&D > per million people 894.68 per million people Time series [9th of 49]
Temporary employment share 13.1% [10th of 26]
Unemployment benefit replacement 16 [17th of 20]
Unemployment gender ratio 228% [1st of 30]
Unemployment rate 8.3% Time series [28th of 107]
Unemployment with secondary education, female > % of female unemployment 52.1 % Time series [26th of 71]
Unemployment with secondary education, male > % of male unemployment 46.6 % Time series [26th of 71]
Unemployment with tertiary education > % of total unemployment 15.1 % Time series [41st of 77]
Unemployment with tertiary education, female > % of female unemployment 16.1 % Time series [36th of 71]
Unemployment with tertiary education, male > % of male unemployment 13.5 % Time series [35th of 71]
Unemployment, female > % of female labor force 15.9 % Time series [11th of 95]
Unemployment, male > % of male labor force 6.4 % Time series [48th of 95]
Unemployment, total > % of total labor force 10.2 % Time series [25th of 101]
Unemployment, youth female > % of female labor force ages 15-24 34.8 % Time series [6th of 77]
Unemployment, youth male > % of male labor force ages 15-24 17.5 % Time series [23rd of 77]
Unemployment, youth total > % of total labor force ages 15-24 25.3 % Time series [10th of 77]
Workers' remittances and compensation of employees, paid > US$ 809,000,000 $ Time series [35th of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 3.592 $ per $1,000 of GDP Time series [79th of 166]
    Workers' remittances and compensation of employees, paid > US$ (per capita) 72.857 $ per 1,000 people Time series [38th of 167]
Workers' remittances and compensation of employees, received > US$ 1,220,000,000 $ Time series [48th of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 5.417 $ per $1,000 of GDP Time series [111st of 165]
    Workers' remittances and compensation of employees, received > US$ (per capita) 109.87 $ per capita Time series [56th of 167]
Workers' remittances, receipts > BoP, current US$ 863,453,700 BoP $ Time series [34th of 115]
    Workers' remittances, receipts > BoP, current US$ (per $ GDP) 3.834 BoP $ per $1 million of Time series [62nd of 142]
    Workers' remittances, receipts > BoP, current US$ (per capita) 77.761 BoP $ per 1,000 people Time series [34th of 143]
Working mothers 47 [16th of 23]
Workplace safety > Dangerous Countries to Work In the EU > Fatalities 48 [10th of 15]
Workplace safety in the EU > Fatalities 3 per 100,000 employees [6th of 15]
Youth unemployment 29.5% [4th of 30]

SOURCES: ILO (International Labour Organization). 2002. Key Indicators of the Labour Market 2001-2002. February 2002; World Development Indicators database; Economic activity rate and economically active population, by sex, thirteen age groups, 1950-2010 (ILO estimates and projections) are data from the International Labour Union (ILO). Source details: ILO, Economically Active Population, 1950-2010, fourth edition, diskette database (Geneva, 1997). The latest set of estimates and projections covering the period 1950-2010 (4th edition) was released by ILO in December 1996. These data are updated every five-ten years by ILO and a new set of these data is in preparation; Wikipedia: List of countries by employment rate ; calculated on the basis of occupational data from ILO (International Labour Organization). 2002. Laboursta Database. February 2002; calculated on the basis of data on the economically active population and total population from ILO (International Labour Organization). 2002. Estimates and Projections of the Economically Active Population, 1950-2010, 4th ed., rev. 2. Database. Geneva; All CIA World Factbooks 18 December 2003 to 18 December 2008; OECD (Organization for Economic Co-operation and Development). 2001. Employment Outlook. Paris; OECD; Wikipedia: Minimum Age Convention, 1973 ; Wikipedia: Parental leave ; The World Bank Group The original methodology and data come from The Regulation of Labor, by Juan Botero, Simeon Djankov, Rafael La Porta, Florencio Lopez-de-Silanes, and Andrei Shleifer. When using the data, please also cite this paper as a reference.; The World Bank Group The original methodology and data come from The Regulation of Labor, by Juan Botero, Simeon Djankov, Rafael La Porta, Florencio Lopez-de-Silanes, and Andrei Shleifer. When using the data, please also cite this paper as a reference; Wikipedia: Right to Organise and Collective Bargaining Convention, 1949 ; Wikipedia: Seafarers' Pensions Convention, 1946 ; OECD; World Health Organization; calculated on the basis of data on male and female unemployment rates from OECD (Organisation for Economic Co-operation and Development). 2001. Employment Outlook 2001. Paris; Wikipedia: Workplace safety ;

ALTERNATIVE NAMES: Greece, Hellenic Republic, Elliniki Dhimokratia, Ellas or Ellada

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