FACTOID # 1: Guatamalan women work 11.5 hours a day, while South African men work only 4.5.
 
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Europe > Sweden > Labor

SWEDISH LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
Agricultural workers > Female 1% [72nd of 77]
Agricultural workers > Male 4% [69th of 78]
Compensation of employees > % of expense 10.44 % Time series [64th of 97]
Compensation of employees > current LCU 100835000000 Time series
Economic activity > Both sexes aged 15-19 33.53 [102nd of 167]
Economic activity > Both sexes aged 20-24 81.14 [27th of 166]
Economic activity > Both sexes aged 25-29 89.81 [28th of 167]
Economic activity > Both sexes aged 30-34 93.66 [19th of 165]
Economic activity > Both sexes aged 35-39 94.68 [17th of 166]
Economic activity > Both sexes aged 40-44 95.38 [8th of 167]
Economic activity > Both sexes aged 45-49 94.86 [2nd of 163]
Economic activity > Both sexes aged 50-54 91.45 [6th of 166]
Economic activity > Both sexes aged 55-59 83.06 [16th of 166]
Economic activity > Both sexes aged 60-64 56.39 [60th of 166]
Economic activity > Both sexes aged 65 plus 4.27 [155th of 165]
Economic activity > Men aged 15-19 32.53 [116th of 164]
Economic activity > Men aged 20-24 82.71 [95th of 166]
Economic activity > Men aged 25-29 91.45 [158th of 165]
Economic activity > Men aged 30-34 95.23 [155th of 165]
Economic activity > Men aged 35-39 95.75 [152nd of 164]
Economic activity > Men aged 40-44 96.26 [120th of 163]
Economic activity > Men aged 45-49 95.76 [86th of 167]
Economic activity > Men aged 50-54 92.81 [87th of 165]
Economic activity > Men aged 55-59 85.61 [84th of 167]
Economic activity > Men aged 60-64 59.96 [108th of 165]
Economic activity > Men aged 65 plus 6.62 [151st of 162]
Economic activity > Women aged 15-19 34.58 [71st of 164]
Economic activity > Women aged 20-24 79.51 [22nd of 166]
Economic activity > Women aged 25-29 88.1 [18th of 165]
Economic activity > Women aged 30-34 92.01 [13th of 167]
Economic activity > Women aged 35-39 93.56 [11th of 165]
Economic activity > Women aged 40-44 94.47 [6th of 165]
Economic activity > Women aged 45-49 93.92 [2nd of 161]
Economic activity > Women aged 50-54 90.06 [3rd of 166]
Economic activity > Women aged 55-59 80.44 [8th of 167]
Economic activity > Women aged 60-64 52.9 [28th of 165]
Economic activity > Women aged 65 plus 2.54 [145th of 167]
Employees, agriculture, female > % of female employment 0.9 % Time series [48th of 86]
Employees, agriculture, male > % of male employment 3 % Time series [49th of 86]
Employees, industry, female > % of female employment 9.3 % Time series [49th of 86]
Employees, industry, male > % of male employment 33.7 % Time series [24th of 86]
Employees, services, female > % of female employment 89.5 % Time series [6th of 86]
Employees, services, male > % of male employment 63.1 % Time series [12th of 86]
Employment in agriculture > % of total employment 2 % Time series [53rd of 94]
Employment in industry > % of total employment 22 % Time series [37th of 94]
Employment in services > % of total employment 75.7 % Time series [8th of 94]
employment rate > Source / date of > information 2003 OECD .
Employment rate of highly educated women 87.8% [2nd of 18]
Employment rate of lesser educated women 65.4% [4th of 18]
Female decision makers 29% [31st of 67]
Female doctors 39.2% [2nd of 18]
Female economic activity 62.5% [39th of 156]
Female economic activity growth 1% [88th of 156]
Female professionals 49% [39th of 68]
Firing cost > weeks of wages 26 weeks of wages Time series [113rd of 164]
force participation rate, female > % of female population ages 15-64 74.86 % Time series [19th of 184]
force participation rate, male > % of male population ages 15-64 78.98 % Time series [120th of 184]
force participation rate, total > % of total population ages 15-64 76.95 % Time series [36th of 184]
force with primary education > % of total 18.5 % Time series [25th of 48]
force with secondary education > % of total 56 % Time series [13th of 51]
force with tertiary education > % of total 24.9 % Time series [17th of 52]
force, female > % of total labor force 47.37 % Time series [27th of 184]
force, total 4,683,586 Time series [73rd of 184]
    force, total (per capita) 0.519 per capita Time series [23rd of 184]
Foreign labor force 5 [10th of 23]
Gender division of housework 2.25 [4th of 13]
Hours worked 1,564 hours [7th of 9]
Industrial workers > Female 12% [50th of 79]
Industrial workers > Male 38% [18th of 79]
Labor force 4,839,000 Time series [63rd of 132]
    Labor force (per capita) 535,815.84 per million people Time series [23rd of 131]
Labor force > By occupation
agriculture 2%, industry 24%, services 74%
Labor force > By occupation > Agriculture 2% Time series [21st of 32]
Labor force > By occupation > Industry 24% Time series [7th of 29]
Labor force > By occupation > Services 74% Time series [4th of 29]
Long term unemployment 1.4% [16th of 27]
Long term unemployment > Share 22.3% [20th of 28]
Long-term unemployment > % of total unemployment 17.8 % Time series [23rd of 48]
Long-term unemployment, female > % of female unemployment 15.3 % Time series [23rd of 46]
Long-term unemployment, male > % of male unemployment 19.6 % Time series [23rd of 46]
Minimum Age Convention, 1973 > Ratifications > Date April 23, 1990
Minimum Age Convention, 1973 > Ratifications > Minimum age 15 [77th of 146]
Parental leave > Paid maternity leave
480 days (16 months) (80% up to a ceiling the first 390 days, 90 days at flat rate) - shared with father (minimum 60 days)
Parental leave > Paid paternity leave
480 days (16 months) (80% up to a ceiling the first 390 days, 90 days at flat rate) - shared with mother (minimum 60 days)
Regulation 42 [96th of 123]
Regulation > Employment Conditions 39 [117th of 123]
Regulation > Firing 31 [74th of 123]
Regulation > Hiring 56 [49th of 123]
Researchers in labor force 91 per 10000 people [3rd of 18]
Right to Organise and Collective Bargaining Convention > Ratifications > Date July 18, 1950
Rigidity of employment index 43 Time series [66th of 166]
Service workers > Female 87% [7th of 79]
Service workers > Male 59% [23rd of 79]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 50.9 % Time series [13th of 174]
Strikes 9 [21st of 27]
Technicians in R&D > per million people 3,164.27 per million people Time series [1st of 49]
Temporary employment share 14.6% [7th of 26]
Trade union membership 82% [1st of 18]
Unemployment 4.4% [15th of 18]
Unemployment and education > Tertiary 3% [9th of 18]
Unemployment and education > Upper secondary 5.3% [7th of 18]
Unemployment benefit as % of GDP 1.9 % of GDP [5th of 18]
Unemployment benefit replacement 29 [11th of 20]
Unemployment gender ratio 87% [27th of 30]
Unemployment rate 6.1% Time series [50th of 107]
Unemployment with secondary education, female > % of female unemployment 56.9 % Time series [13th of 71]
Unemployment with secondary education, male > % of male unemployment 59.1 % Time series [12th of 71]
Unemployment with tertiary education > % of total unemployment 17.5 % Time series [16th of 77]
Unemployment with tertiary education, female > % of female unemployment 20.2 % Time series [15th of 71]
Unemployment with tertiary education, male > % of male unemployment 16.1 % Time series [13th of 71]
Unemployment, female > % of female labor force 6.2 % Time series [54th of 95]
Unemployment, male > % of male labor force 6.9 % Time series [41st of 95]
Unemployment, total > % of total labor force 6.5 % Time series [51st of 101]
Unemployment, youth female > % of female labor force ages 15-24 13 % Time series [37th of 77]
Unemployment, youth male > % of male labor force ages 15-24 15.7 % Time series [30th of 77]
Unemployment, youth total > % of total labor force ages 15-24 14.4 % Time series [35th of 77]
Vacation > Minimum vacation time around the world > legally required
25-32 working days, depending on age
Work Time > More than 40 hours 61.5% [6th of 18]
Workers' remittances and compensation of employees, paid > US$ 611,000,000 $ Time series [36th of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 1.708 $ per $1,000 of GDP Time series [99th of 166]
    Workers' remittances and compensation of employees, paid > US$ (per capita) 67.708 $ per 1,000 people Time series [43rd of 167]
Workers' remittances and compensation of employees, received > US$ 630,000,000 $ Time series [70th of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 1.761 $ per $1,000 of GDP Time series [135th of 165]
    Workers' remittances and compensation of employees, received > US$ (per capita) 69.814 $ per capita Time series [74th of 167]
Workers' remittances, receipts > BoP, current US$ 222,872,000 BoP $ Time series [54th of 115]
    Workers' remittances, receipts > BoP, current US$ (per $ GDP) 0.623 BoP $ per $1 million of Time series [77th of 142]
    Workers' remittances, receipts > BoP, current US$ (per capita) 24.698 BoP $ per 1,000 people Time series [56th of 143]
Working mothers 76 [1st of 23]
Workplace safety > Dangerous Countries to Work In the EU > Fatalities 28 [13th of 15]
Workplace safety in the EU > Fatalities 1.2 per 100,000 employees [14th of 15]
Youth unemployment 11.9% [15th 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 ; 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; Jeanne A. Batalova and Philip N. Cohen, 'Premarital Cohabitation and Housework: Couples in Cross-National Perspective', Journal of Marriage and Family 64, August 2002, p.748; 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; Wikipedia: Workplace safety ;

ALTERNATIVE NAMES: Sweden, Kingdom of Sweden, Konungariket Sverige, Sverige

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