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 > Portugal > Labor

PORTUGUESE LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
Agricultural workers > Female 14% [23rd of 77]
Agricultural workers > Male 11% [44th of 78]
Child employment in agriculture > % of economically active children ages 7-14 48.48 % Time series [11th of 11]
Child employment in agriculture, female > % of female economically active children ages 7-14 40.67 % Time series [10th of 11]
Child employment in agriculture, male > % of male economically active children ages 7-14 52.71 % Time series [11th of 11]
Child employment in manufacturing > % of economically active children ages 7-14 11.16 % Time series [1st of 10]
Child employment in manufacturing, female > % of female economically active children ages 7-14 10.72 % Time series [1st of 10]
Child employment in manufacturing, male > % of male economically active children ages 7-14 11.4 % Time series [1st of 10]
Child employment in services > % of economically active children ages 7-14 33.34 % Time series [2nd of 11]
Child employment in services, female > % of female economically active children ages 7-14 47.67 % Time series [3rd of 11]
Child employment in services, male > % of male economically active children ages 7-14 25.57 % Time series [2nd of 11]
Compensation of employees > % of expense 29.59 % Time series [23rd of 97]
Compensation of employees > current LCU 18507010000 Time series
Days off work 11 days [16th of 20]
Economic activity > Both sexes aged 10-14 1.19 [85th of 89]
Economic activity > Both sexes aged 15-19 40.39 [74th of 167]
Economic activity > Both sexes aged 20-24 74.19 [74th of 166]
Economic activity > Both sexes aged 25-29 88.25 [40th of 167]
Economic activity > Both sexes aged 30-34 89.42 [49th of 165]
Economic activity > Both sexes aged 35-39 87.75 [65th of 166]
Economic activity > Both sexes aged 40-44 84.37 [85th of 167]
Economic activity > Both sexes aged 45-49 79.6 [97th of 163]
Economic activity > Both sexes aged 50-54 69.54 [108th of 166]
Economic activity > Both sexes aged 55-59 56.53 [107th of 166]
Economic activity > Both sexes aged 60-64 37.14 [112nd of 166]
Economic activity > Both sexes aged 65 plus 11.01 [119th of 165]
Economic activity > Men aged 15-19 43.89 [86th of 164]
Economic activity > Men aged 20-24 80.17 [119th of 166]
Economic activity > Men aged 25-29 94.96 [95th of 165]
Economic activity > Men aged 30-34 96.23 [139th of 165]
Economic activity > Men aged 35-39 96.41 [136th of 164]
Economic activity > Men aged 40-44 96.05 [126th of 163]
Economic activity > Men aged 45-49 93.39 [139th of 167]
Economic activity > Men aged 50-54 85.48 [150th of 165]
Economic activity > Men aged 55-59 72.28 [146th of 167]
Economic activity > Men aged 60-64 52.34 [120th of 165]
Economic activity > Men aged 65 plus 16.71 [119th of 162]
Economic activity > Women aged 10-14 2.44 [77th of 89]
Economic activity > Women aged 15-19 36.72 [64th of 164]
Economic activity > Women aged 20-24 68.02 [67th of 166]
Economic activity > Women aged 25-29 81.43 [40th of 165]
Economic activity > Women aged 30-34 82.53 [45th of 167]
Economic activity > Women aged 35-39 79.37 [59th of 165]
Economic activity > Women aged 40-44 73.27 [78th of 165]
Economic activity > Women aged 45-49 66.76 [82nd of 161]
Economic activity > Women aged 50-54 54.94 [94th of 166]
Economic activity > Women aged 55-59 42.8 [80th of 167]
Economic activity > Women aged 60-64 24.36 [91st of 165]
Economic activity > Women aged 65 plus 7.09 [96th of 167]
Economically active children, female 2.63 % Time series [14th of 34]
Economically active children, male 4.59 % Time series [14th of 34]
Economically active children, study and work 96.4 % Time series [1st of 34]
Economically active children, study and work, female 96.34 % Time series [1st of 34]
Economically active children, study and work, male 96.42 % Time series [1st of 34]
Economically active children, total 3.64 % Time series [14th of 34]
Economically active children, work only 3.6 % Time series [14th of 34]
Economically active children, work only, female 3.66 % Time series [13th of 33]
Economically active children, work only, male 3.58 % Time series [13th of 34]
Employees, agriculture, female > % of female employment 13.4 % Time series [25th of 86]
Employees, agriculture, male > % of male employment 11.8 % Time series [43rd of 86]
Employees, industry, female > % of female employment 20.5 % Time series [19th of 86]
Employees, industry, male > % of male employment 42 % Time series [7th of 86]
Employees, services, female > % of female employment 66 % Time series [55th of 86]
Employees, services, male > % of male employment 46.1 % Time series [55th of 86]
Employment in agriculture > % of total employment 12.5 % Time series [40th of 94]
Employment in industry > % of total employment 32.2 % Time series [10th of 94]
Employment in services > % of total employment 55.2 % Time series [57th of 94]
employment rate > Source / date of > information 2003 OECD .
Female decision makers 32% [25th of 67]
Female economic activity 51.2% [81st of 156]
Female economic activity growth 4% [71st of 156]
Female professionals 50% [35th of 68]
Firing cost > weeks of wages 98.7 weeks of wages Time series [17th of 164]
force participation rate, female > % of female population ages 15-64 67.8 % Time series [41st of 184]
force participation rate, male > % of male population ages 15-64 79.67 % Time series [116th of 184]
force participation rate, total > % of total population ages 15-64 73.66 % Time series [55th of 184]
force with primary education > % of total 69.8 % Time series [1st of 48]
force with secondary education > % of total 12.3 % Time series [39th of 51]
force with tertiary education > % of total 9.4 % Time series [38th of 52]
force, female > % of total labor force 46.49 % Time series [42nd of 184]
force, total 5,563,768 Time series [66th of 184]
    force, total (per capita) 0.527 per capita Time series [17th of 184]
Foreign labor force 2 [18th of 23]
Industrial workers > Female 24% [11th of 79]
Industrial workers > Male 44% [5th of 79]
Labor force 5,618,000 Time series [52nd of 132]
    Labor force (per capita) 527,866.82 per million people Time series [26th of 131]
Labor force > By occupation
agriculture 10%, industry 30%, services 60%
Labor force > By occupation > Agriculture 10% Time series [8th of 32]
Labor force > By occupation > Industry 30% Time series [5th of 29]
Labor force > By occupation > Services 60% Time series [8th of 29]
Long term unemployment 1.7% [14th of 27]
Long term unemployment > Share 38.1% [12th of 28]
Long-term unemployment > % of total unemployment 32 % Time series [14th of 48]
Long-term unemployment, female > % of female unemployment 32.7 % Time series [12th of 46]
Long-term unemployment, male > % of male unemployment 31.2 % Time series [14th of 46]
Minimum Age Convention, 1973 > Ratifications > Date May 20, 1998
Minimum Age Convention, 1973 > Ratifications > Minimum age 16 [19th of 146]
Parental leave > Paid maternity leave 120 days
Parental leave > Paid paternity leave Five days plus two weeks.
Parental leave > Restrictions
Of the maternity leave, 6 weeks is compulsory. The father may take the rest of the time the mother would have been entitled to.
Regulation 79 [2nd of 123]
Regulation > Employment Conditions 88 [25th of 123]
Regulation > Firing 73 [2nd of 123]
Regulation > Hiring 76 [13th of 123]
regulations > % of managers surveyed ranking this as a major business constraint 17.59 % Time series [5th of 39]
Right to Organise and Collective Bargaining Convention > Ratifications > Date July 1, 1964
Rigidity of employment index 51 Time series [44th of 166]
Service workers > Female 62% [62nd of 79]
Service workers > Male 44% [61st of 79]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 46.6 % Time series [50th of 174]
skills > % of managers surveyed ranking this as a major business constraint 12.07 % Time series [18th of 38]
Strikes 20 [20th of 27]
Technicians in R&D > per million people 307.05 per million people Time series [26th of 49]
Temporary employment share 20.4% [4th of 26]
Unemployment benefit replacement 35 [7th of 20]
Unemployment gender ratio 159% [6th of 30]
Unemployment rate 8% Time series [29th of 107]
Unemployment with secondary education, female > % of female unemployment 16 % Time series [56th of 71]
Unemployment with secondary education, male > % of male unemployment 12.9 % Time series [54th of 71]
Unemployment with tertiary education > % of total unemployment 8.8 % Time series [50th of 77]
Unemployment with tertiary education, female > % of female unemployment 11.5 % Time series [42nd of 71]
Unemployment with tertiary education, male > % of male unemployment 5.7 % Time series [50th of 71]
Unemployment, female > % of female labor force 7.6 % Time series [47th of 95]
Unemployment, male > % of male labor force 5.8 % Time series [52nd of 95]
Unemployment, total > % of total labor force 6.7 % Time series [50th of 101]
Unemployment, youth female > % of female labor force ages 15-24 19.1 % Time series [25th of 77]
Unemployment, youth male > % of male labor force ages 15-24 13.7 % Time series [35th of 77]
Unemployment, youth total > % of total labor force ages 15-24 16.1 % Time series [29th of 77]
Workers' remittances and compensation of employees, paid > US$ 1,151,000,000 $ Time series [28th of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 6.279 $ per $1,000 of GDP Time series [60th of 166]
    Workers' remittances and compensation of employees, paid > US$ (per capita) 109.105 $ per 1,000 people Time series [32nd of 167]
Workers' remittances and compensation of employees, received > US$ 3,017,000,000 $ Time series [24th of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 16.459 $ per $1,000 of GDP Time series [73rd of 165]
    Workers' remittances and compensation of employees, received > US$ (per capita) 285.986 $ per capita Time series [16th of 167]
Workers' remittances, receipts > BoP, current US$ 2,825,772,000 BoP $ Time series [16th of 115]
    Workers' remittances, receipts > BoP, current US$ (per $ GDP) 15.416 BoP $ per $1 million of Time series [48th of 142]
    Workers' remittances, receipts > BoP, current US$ (per capita) 267.86 BoP $ per 1,000 people Time series [10th of 143]
Working mothers 70 [4th of 23]
Workplace safety > Dangerous Countries to Work In the EU > Fatalities 285 [5th of 15]
Workplace safety in the EU > Fatalities 7.6 per 100,000 employees [1st of 15]
Youth unemployment 8.6% [21st 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 ; 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; 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; Wikipedia: Right to Organise and Collective Bargaining Convention, 1949 ; 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: Portugal, Portuguese Republic, Republica Portuguesa

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