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Europe > Finland > Labor

FINNISH LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
Agricultural workers > Female 4% [46th of 77]
Agricultural workers > Male 8% [49th of 78]
Compensation of employees > % of expense 10.3 % Time series [65th of 97]
Compensation of employees > current LCU 5861000000 Time series
Days off work 126 days [5th of 20]
Economic activity > Both sexes aged 15-19 30.45 [113rd of 167]
Economic activity > Both sexes aged 20-24 72.88 [84th of 166]
Economic activity > Both sexes aged 25-29 85.73 [55th of 167]
Economic activity > Both sexes aged 30-34 90.86 [37th of 165]
Economic activity > Both sexes aged 35-39 92.22 [32nd of 166]
Economic activity > Both sexes aged 40-44 92.82 [26th of 167]
Economic activity > Both sexes aged 45-49 90.89 [29th of 163]
Economic activity > Both sexes aged 50-54 83.99 [37th of 166]
Economic activity > Both sexes aged 55-59 59.53 [92nd of 166]
Economic activity > Both sexes aged 60-64 21.04 [150th of 166]
Economic activity > Both sexes aged 65 plus 2.36 [158th of 165]
Economic activity > Men aged 15-19 31.11 [119th of 164]
Economic activity > Men aged 20-24 77.81 [143rd of 166]
Economic activity > Men aged 25-29 90.8 [160th of 165]
Economic activity > Men aged 30-34 94.53 [158th of 165]
Economic activity > Men aged 35-39 94.33 [159th of 164]
Economic activity > Men aged 40-44 94.13 [154th of 163]
Economic activity > Men aged 45-49 90.55 [162nd of 167]
Economic activity > Men aged 50-54 83.91 [155th of 165]
Economic activity > Men aged 55-59 58.25 [162nd of 167]
Economic activity > Men aged 60-64 24.09 [159th of 165]
Economic activity > Men aged 65 plus 3.95 [155th of 162]
Economic activity > Women aged 15-19 29.76 [85th of 164]
Economic activity > Women aged 20-24 67.75 [70th of 166]
Economic activity > Women aged 25-29 80.46 [46th of 165]
Economic activity > Women aged 30-34 87.08 [31st of 167]
Economic activity > Women aged 35-39 90.03 [23rd of 165]
Economic activity > Women aged 40-44 91.48 [18th of 165]
Economic activity > Women aged 45-49 91.23 [11th of 161]
Economic activity > Women aged 50-54 84.08 [15th of 166]
Economic activity > Women aged 55-59 60.79 [42nd of 167]
Economic activity > Women aged 60-64 18.25 [107th of 165]
Economic activity > Women aged 65 plus 1.36 [154th of 167]
Employees, agriculture, female > % of female employment 2.9 % Time series [36th of 86]
Employees, agriculture, male > % of male employment 6.5 % Time series [35th of 86]
Employees, industry, female > % of female employment 12.4 % Time series [34th of 86]
Employees, industry, male > % of male employment 37.7 % Time series [14th of 86]
Employees, services, female > % of female employment 84.4 % Time series [18th of 86]
Employees, services, male > % of male employment 55.7 % Time series [25th of 86]
Employment in agriculture > % of total employment 4.8 % Time series [38th of 94]
Employment in industry > % of total employment 25.6 % Time series [25th of 94]
Employment in services > % of total employment 69.4 % Time series [21st of 94]
employment rate > Source / date of > information 2003 OECD .
Employment rate of highly educated women 84.8% [9th of 18]
Employment rate of lesser educated women 69.5% [2nd of 18]
Female decision makers 27% [37th of 67]
Female doctors 50.7% [1st of 18]
Female economic activity 57% [67th of 156]
Female economic activity growth -1% [124th of 156]
Female professionals 56% [14th of 68]
Firing cost > weeks of wages 26 weeks of wages Time series [117th of 164]
force participation rate, female > % of female population ages 15-64 72.81 % Time series [25th of 184]
force participation rate, male > % of male population ages 15-64 76.79 % Time series [138th of 184]
force participation rate, total > % of total population ages 15-64 74.83 % Time series [44th of 184]
force with primary education > % of total 24.7 % Time series [18th of 48]
force with secondary education > % of total 43.7 % Time series [20th of 51]
force with tertiary education > % of total 31.6 % Time series [5th of 52]
force, female > % of total labor force 47.77 % Time series [21st of 184]
force, total 2,655,549 Time series [101st of 184]
    force, total (per capita) 0.506 per capita Time series [32nd of 184]
Foreign labor force 1.6 [19th of 23]
Industrial workers > Female 14% [37th of 79]
Industrial workers > Male 40% [12th of 79]
Labor force 2,675,000 Time series [82nd of 132]
    Labor force (per capita) 510,646.259 per million people Time series [36th of 131]
Labor force > By occupation
agriculture and forestry 4.4%, industry 18.6%, construction 6%, commerce 16.3%, finance, insurance, and business services 13.9%, transport and communications 7.6%, public services 33.2%
Long term unemployment 2.4% [12th of 27]
Long term unemployment > Share 26.2% [17th of 28]
Long-term unemployment > % of total unemployment 24.7 % Time series [17th of 48]
Long-term unemployment, female > % of female unemployment 21.4 % Time series [19th of 46]
Long-term unemployment, male > % of male unemployment 27.7 % Time series [16th of 46]
Minimum Age Convention, 1973 > Ratifications > Date January 13, 1976
Minimum Age Convention, 1973 > Ratifications > Minimum age 15 [47th of 146]
Parental leave > Paid maternity leave 105 days
Parental leave > Paid paternity leave
18 days, can share 158 days with mother after maternity leave
Parental leave > Unpaid maternity leave Until child turns 3
Regulation 55 [53rd of 123]
Regulation > Employment Conditions 43 [112nd of 123]
Regulation > Firing 52 [25th of 123]
Regulation > Hiring 71 [19th of 123]
Researchers in labor force 99 per 10000 people [1st of 18]
Right to Organise and Collective Bargaining Convention > Ratifications > Date December 22, 1951
Rigidity of employment index 48 Time series [52nd of 166]
Service workers > Female 82% [28th of 79]
Service workers > Male 52% [39th of 79]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 50.7 % Time series [14th of 174]
Strikes 55 [12th of 27]
Technicians in R&D > per million people 3,471.86 per million people Time series [1st of 49]
Temporary employment share 17.6% [6th of 26]
Total work time > Females 430 minutes [20th of 29]
Total work time > Females over males 105% [21st of 29]
Total work time > Males 410 minutes [18th of 29]
Trade union membership 76% [2nd of 18]
Unemployment 9.5% [2nd of 18]
Unemployment and education > Tertiary 4.7% [3rd of 18]
Unemployment and education > Upper secondary 8.9% [1st of 18]
Unemployment benefit as % of GDP 2.6 % of GDP [2nd of 18]
Unemployment benefit replacement 42 [3rd of 20]
Unemployment gender ratio 116% [15th of 30]
Unemployment rate 6.9% Time series [44th of 107]
Unemployment with secondary education, female > % of female unemployment 44.1 % Time series [24th of 71]
Unemployment with secondary education, male > % of male unemployment 48.3 % Time series [20th of 71]
Unemployment with tertiary education > % of total unemployment 17.5 % Time series [15th of 77]
Unemployment with tertiary education, female > % of female unemployment 21.6 % Time series [13th of 71]
Unemployment with tertiary education, male > % of male unemployment 13.6 % Time series [15th of 71]
Unemployment, female > % of female labor force 9 % Time series [39th of 95]
Unemployment, male > % of male labor force 8.8 % Time series [30th of 95]
Unemployment, total > % of total labor force 8.9 % Time series [31st of 101]
Unemployment, youth female > % of female labor force ages 15-24 19.3 % Time series [23rd of 77]
Unemployment, youth male > % of male labor force ages 15-24 18.3 % Time series [22nd of 77]
Unemployment, youth total > % of total labor force ages 15-24 18.8 % Time series [25th of 77]
Vacation > Minimum vacation time around the world > legally required 35 days
Work time > Market-oriented 51% [15th of 29]
Work Time > More than 40 hours 16% [17th of 18]
Work time > Non-market-oriented 49% [12th of 29]
Workers' remittances and compensation of employees, paid > US$ 249,000,000 $ Time series [48th of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 1.289 $ per $1,000 of GDP Time series [111st of 166]
    Workers' remittances and compensation of employees, paid > US$ (per capita) 47.464 $ per 1,000 people Time series [53rd of 167]
Workers' remittances and compensation of employees, received > US$ 695,000,000 $ Time series [65th of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 3.598 $ per $1,000 of GDP Time series [119th of 165]
    Workers' remittances and compensation of employees, received > US$ (per capita) 132.479 $ per capita Time series [46th of 167]
Working mothers 59 [9th of 23]
Working time to buy a car 1,681 hours [2nd of 16]
Working time to buy a refrigerator 24 hours [12th of 15]
Working time to buy a television set 20 hours [12th of 15]
Working time to buy beef 41 minutes [14th of 16]
Working time to buy bread 8 minutes [10th of 16]
Working time to buy chicken 14 minutes [13th of 16]
Working time to buy fish 24 minutes [14th of 15]
Working time to buy milk 3 minutes [11th of 16]
Workplace safety > Dangerous Countries to Work In the EU > Fatalities 29 [12th of 15]
Workplace safety in the EU > Fatalities 1.9 per 100,000 employees [12th of 15]
Youth unemployment 21.6% [6th of 30]

SOURCES: ILO (International Labour Organization). 2002. Key Indicators of the Labour Market 2001-2002. February 2002; World Development Indicators database; OECD; 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 ; OECD Employment Outlook 2002, p.74; calculated on the basis of occupational data from ILO (International Labour Organization). 2002. Laboursta Database. February 2002; OECD Health Data 2002 (CD ROM) available year for Australia, Japan = 1998; Denmark = 1995; 1980 figures for Canada and France are interpolated; 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; OECD; All CIA World Factbooks 18 December 2003 to 18 December 2008; OECD (Organization for Economic Co-operation and Development). 2001. Employment Outlook. Paris; 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; OECD; Wikipedia: Right to Organise and Collective Bargaining Convention, 1949 ; Harvey, Andrew S. 1995 ?Market and Non-Market Productive Activity in Less Developed and Developing Countries: Lessons from Time Use.? Background Paper for Human Development Report 1995. United Nations Development Programme, Human Development Report, Goldshmidt-Clermont, Luisella, and Elisabetta Pagnossin Aligisakis. 1995. ?Measures of Unrecorded Economic Activities in Fourteen Countries.? Background paper for Human Development Report; Figures are from the OECD. The figures are from EIRO for France, Ireland and Italy; OECD Historical Statistics; OECD, Employment Outlook 2002 ; Annex to GECD Society at a Glance 2002; 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: Vacation ; ILO, Key Indicators; International Metalworkers' Federation, The Purchasing Power of Working Time 2002: An International Comparison of Average Net Hourly Earnings 2001 (International Metalworkers' Federation, Geneva, 2002); Wikipedia: Workplace safety ;

ALTERNATIVE NAMES: Finland, Republic of Finland, Suomen Tasavalta, Suomi

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