FACTOID # 8: Danish workers strike 150 times more than their German neighbours.
 
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Europe > Switzerland > Labor

SWISS LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
Agricultural workers > Female 4% [45th of 77]
Agricultural workers > Male 5% [63rd of 78]
Compensation of employees > % of expense 7.34 % Time series [89th of 97]
Compensation of employees > current LCU 6050122000 Time series
Days off work 1 days [20th of 20]
Economic activity > Both sexes aged 15-19 45.23 [58th of 167]
Economic activity > Both sexes aged 20-24 81.01 [29th of 166]
Economic activity > Both sexes aged 25-29 84.67 [62nd of 167]
Economic activity > Both sexes aged 30-34 83.3 [89th of 165]
Economic activity > Both sexes aged 35-39 85.35 [78th of 166]
Economic activity > Both sexes aged 40-44 87.19 [68th of 167]
Economic activity > Both sexes aged 45-49 86.42 [54th of 163]
Economic activity > Both sexes aged 50-54 82.55 [47th of 166]
Economic activity > Both sexes aged 55-59 75.04 [42nd of 166]
Economic activity > Both sexes aged 60-64 50.6 [77th of 166]
Economic activity > Both sexes aged 65 plus 4.77 [150th of 165]
Economic activity > Men aged 15-19 48.04 [76th of 164]
Economic activity > Men aged 20-24 81.91 [104th of 166]
Economic activity > Men aged 25-29 93.28 [135th of 165]
Economic activity > Men aged 30-34 97.72 [45th of 165]
Economic activity > Men aged 35-39 98.55 [17th of 164]
Economic activity > Men aged 40-44 98.62 [7th of 163]
Economic activity > Men aged 45-49 98.28 [13th of 167]
Economic activity > Men aged 50-54 97.39 [6th of 165]
Economic activity > Men aged 55-59 94.54 [15th of 167]
Economic activity > Men aged 60-64 78.01 [58th of 165]
Economic activity > Men aged 65 plus 7.72 [149th of 162]
Economic activity > Women aged 15-19 42.29 [51st of 164]
Economic activity > Women aged 20-24 80.1 [17th of 166]
Economic activity > Women aged 25-29 75.88 [61st of 165]
Economic activity > Women aged 30-34 67.84 [93rd of 167]
Economic activity > Women aged 35-39 70.62 [84th of 165]
Economic activity > Women aged 40-44 74.5 [73rd of 165]
Economic activity > Women aged 45-49 73.85 [65th of 161]
Economic activity > Women aged 50-54 67.26 [67th of 166]
Economic activity > Women aged 55-59 55.35 [54th of 167]
Economic activity > Women aged 60-64 24.65 [88th of 165]
Economic activity > Women aged 65 plus 2.75 [142nd of 167]
Employees, agriculture, female > % of female employment 2.9 % Time series [46th of 86]
Employees, agriculture, male > % of male employment 4.7 % Time series [51st of 86]
Employees, industry, female > % of female employment 11.6 % Time series [49th of 86]
Employees, industry, male > % of male employment 31.7 % Time series [34th of 86]
Employees, services, female > % of female employment 85.3 % Time series [17th of 86]
Employees, services, male > % of male employment 63.4 % Time series [13th of 86]
Employment in agriculture > % of total employment 3.9 % Time series [54th of 94]
Employment in industry > % of total employment 22.6 % Time series [40th of 94]
Employment in services > % of total employment 73.3 % Time series [16th of 94]
employment rate > Source / date of > information 2003 OECD .
Employment rate of highly educated women 85.6% [8th of 18]
Employment rate of lesser educated women 70.3% [1st of 18]
Female decision makers 22% [55th of 67]
Female doctors 29.1% [13th of 18]
Female economic activity 50.7% [83rd of 156]
Female economic activity growth 3% [77th of 156]
Female professionals 42% [55th of 68]
Firing cost > weeks of wages 13 weeks of wages Time series [145th of 164]
force participation rate, female > % of female population ages 15-64 75.29 % Time series [18th of 184]
force participation rate, male > % of male population ages 15-64 87.61 % Time series [30th of 184]
force participation rate, total > % of total population ages 15-64 81.38 % Time series [16th of 184]
force with primary education > % of total 15.5 % Time series [32nd of 48]
force with secondary education > % of total 59.8 % Time series [9th of 51]
force with tertiary education > % of total 24.2 % Time series [18th of 52]
force, female > % of total labor force 46.65 % Time series [35th of 184]
force, total 4,192,487 Time series [78th of 184]
    force, total (per capita) 0.564 per capita Time series [6th of 184]
Foreign labor force 18.3 [4th of 23]
Industrial workers > Female 13% [43rd of 79]
Industrial workers > Male 36% [22nd of 79]
Labor force 3,954,000 Time series [70th of 132]
    Labor force (per capita) 523,385.497 per million people Time series [29th of 131]
Labor force > By occupation
agriculture 4.6%, industry 26.3%, services 69.1%
Labor force > By occupation > Agriculture 3.8% Time series [22nd of 32]
Labor force > By occupation > Industry 23.7% Time series [12th of 29]
Labor force > By occupation > Services 72.5% Time series [5th of 29]
Long term unemployment 0.6% [24th of 27]
Long-term unemployment > % of total unemployment 27 % Time series [16th of 48]
Long-term unemployment, female > % of female unemployment 32.6 % Time series [13th of 46]
Long-term unemployment, male > % of male unemployment 21.6 % Time series [22nd of 46]
Minimum Age Convention, 1973 > Ratifications > Date August 17, 1999
Minimum Age Convention, 1973 > Ratifications > Minimum age 15 [74th of 146]
Parental leave > Paid maternity leave
16 weeks (100%), 8 weeks mandatory
Parental leave > Paid paternity leave None
Parental leave > Restrictions
Pregnant women can't be fired
Parental leave > Unpaid maternity leave None
Parental leave > Unpaid paternity leave None
Regulation 36 [106th of 123]
Regulation > Employment Conditions 53 [96th of 123]
Regulation > Firing 23 [97th of 123]
Regulation > Hiring 33 [86th of 123]
Researchers in labor force 55 per 10000 people [11th of 18]
Right to Organise and Collective Bargaining Convention > Ratifications > Date August 17, 1999
Rigidity of employment index 23 Time series [128th of 166]
Service workers > Female 83% [23rd of 79]
Service workers > Male 59% [22nd of 79]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 47.1 % Time series [43rd of 174]
Strikes 2 [24th of 27]
Technicians in R&D > per million people 2,318.8 per million people Time series [2nd of 49]
Temporary employment share 11.4% [13th of 26]
Trade union membership 22% [16th of 18]
Unemployment 2% [18th of 18]
Unemployment and education > Tertiary 1.3% [18th of 18]
Unemployment and education > Upper secondary 2% [18th of 18]
Unemployment benefit as % of GDP 1 % of GDP [12th of 18]
Unemployment benefit replacement 34 [8th of 20]
Unemployment gender ratio 136% [11th of 30]
Unemployment rate 2.8% Time series [82nd of 107]
Unemployment with secondary education, female > % of female unemployment 56.2 % Time series [14th of 71]
Unemployment with secondary education, male > % of male unemployment 50 % Time series [18th of 71]
Unemployment with tertiary education > % of total unemployment 16.9 % Time series [17th of 77]
Unemployment with tertiary education, female > % of female unemployment 13.5 % Time series [20th of 71]
Unemployment with tertiary education, male > % of male unemployment 24.4 % Time series [7th of 71]
Unemployment, female > % of female labor force 4.8 % Time series [62nd of 95]
Unemployment, male > % of male labor force 3.9 % Time series [66th of 95]
Unemployment, total > % of total labor force 4.3 % Time series [68th of 101]
Unemployment, youth female > % of female labor force ages 15-24 9.3 % Time series [49th of 77]
Unemployment, youth male > % of male labor force ages 15-24 8.5 % Time series [53rd of 77]
Unemployment, youth total > % of total labor force ages 15-24 8.9 % Time series [49th of 77]
Vacation > Minimum vacation time around the world > legally required 28 days
Work Time > More than 40 hours 66.9% [3rd of 18]
Workers' remittances and compensation of employees, paid > US$ 13,200,000,000 $ Time series [3rd of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 35.964 $ per $1,000 of GDP Time series [14th of 166]
    Workers' remittances and compensation of employees, paid > US$ (per capita) 1,774.885 $ per 1,000 people Time series [2nd of 167]
Workers' remittances and compensation of employees, received > US$ 1,910,000,000 $ Time series [37th of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 5.204 $ per $1,000 of GDP Time series [112nd of 165]
    Workers' remittances and compensation of employees, received > US$ (per capita) 256.821 $ per capita Time series [21st of 167]
Workers' remittances, receipts > BoP, current US$ 202,034,700 BoP $ Time series [55th of 115]
    Workers' remittances, receipts > BoP, current US$ (per $ GDP) 0.55 BoP $ per $1 million of Time series [79th of 142]
    Workers' remittances, receipts > BoP, current US$ (per capita) 27.166 BoP $ per 1,000 people Time series [53rd of 143]
Working time to buy a car 614 hours [16th of 16]
Working time to buy a refrigerator 14 hours [15th of 15]
Working time to buy a television set 22 hours [8th of 15]
Working time to buy beef 102 minutes [2nd of 16]
Working time to buy bread 7 minutes [13th of 16]
Working time to buy chicken 22 minutes [8th of 16]
Working time to buy fish 64 minutes [6th of 15]
Working time to buy milk 3 minutes [13th of 16]
Youth unemployment 4.8% [28th 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 ; 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);

ALTERNATIVE NAMES: Switzerland, Swiss Confederation, Schweizerische Eidgenossenschaft, Confederation Suisse, Confederazione Svizzera, Schweiz, Suisse, Svizzera

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