FACTOID # 5: Women are flooding into the workforce in many Muslim countries.
 
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Europe > Spain > Labor

SPANISH LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
Agricultural workers > Female 5% [44th of 77]
Agricultural workers > Male 8% [51st of 78]
Compensation of employees > % of expense 9.33 % Time series [67th of 97]
Compensation of employees > current LCU 20966000000 Time series
Days off work 316 days [2nd of 20]
Economic activity > Both sexes aged 15-19 26.25 [126th of 167]
Economic activity > Both sexes aged 20-24 70.21 [105th of 166]
Economic activity > Both sexes aged 25-29 82.76 [79th of 167]
Economic activity > Both sexes aged 30-34 80.45 [103rd of 165]
Economic activity > Both sexes aged 35-39 77.58 [118th of 166]
Economic activity > Both sexes aged 40-44 72.26 [135th of 167]
Economic activity > Both sexes aged 45-49 67.49 [142nd of 163]
Economic activity > Both sexes aged 50-54 60.28 [147th of 166]
Economic activity > Both sexes aged 55-59 47.02 [150th of 166]
Economic activity > Both sexes aged 60-64 27.57 [136th of 166]
Economic activity > Both sexes aged 65 plus 2.04 [160th of 165]
Economic activity > Men aged 15-19 30.22 [125th of 164]
Economic activity > Men aged 20-24 73.44 [161st of 166]
Economic activity > Men aged 25-29 91.66 [154th of 165]
Economic activity > Men aged 30-34 95.5 [154th of 165]
Economic activity > Men aged 35-39 96.09 [145th of 164]
Economic activity > Men aged 40-44 94.98 [144th of 163]
Economic activity > Men aged 45-49 93.82 [134th of 167]
Economic activity > Men aged 50-54 86.93 [144th of 165]
Economic activity > Men aged 55-59 72.54 [145th of 167]
Economic activity > Men aged 60-64 42.03 [135th of 165]
Economic activity > Men aged 65 plus 3.04 [157th of 162]
Economic activity > Women aged 20-24 66.8 [73rd of 166]
Economic activity > Women aged 25-29 73.44 [68th of 165]
Economic activity > Women aged 30-34 64.88 [97th of 167]
Economic activity > Women aged 35-39 58.77 [114th of 165]
Economic activity > Women aged 40-44 49.61 [129th of 165]
Economic activity > Women aged 45-49 41.35 [132nd of 161]
Economic activity > Women aged 50-54 34.37 [139th of 166]
Economic activity > Women aged 55-59 22.72 [140th of 167]
Economic activity > Women aged 60-64 14.53 [122nd of 165]
Economic activity > Women aged 65 plus 1.33 [155th of 167]
Employees, agriculture, female > % of female employment 3.6 % Time series [33rd of 86]
Employees, agriculture, male > % of male employment 6.4 % Time series [37th of 86]
Employees, industry, female > % of female employment 12.4 % Time series [33rd of 86]
Employees, industry, male > % of male employment 41.2 % Time series [6th of 86]
Employees, services, female > % of female employment 84 % Time series [20th of 86]
Employees, services, male > % of male employment 52.3 % Time series [29th of 86]
Employment in agriculture > % of total employment 5.3 % Time series [36th of 94]
Employment in industry > % of total employment 29.7 % Time series [14th of 94]
Employment in services > % of total employment 65 % Time series [30th of 94]
employment rate > Source / date of > information 2003 OECD .
Female decision makers 32% [26th of 67]
Female economic activity 37.5% [130th of 156]
Female economic activity growth 11% [40th of 156]
Female professionals 45% [53rd of 68]
Firing cost > weeks of wages 56.3 weeks of wages Time series [54th of 164]
force participation rate, female > % of female population ages 15-64 57.22 % Time series [93rd of 184]
force participation rate, male > % of male population ages 15-64 80.69 % Time series [108th of 184]
force participation rate, total > % of total population ages 15-64 69.04 % Time series [101st of 184]
force with primary education > % of total 52 % Time series [5th of 48]
force with secondary education > % of total 19.6 % Time series [35th of 51]
force with tertiary education > % of total 27.9 % Time series [11th of 52]
force, female > % of total labor force 41.04 % Time series [101st of 184]
force, total 20,854,260 Time series [28th of 184]
    force, total (per capita) 0.481 per capita Time series [54th of 184]
Foreign labor force 1 [20th of 23]
Industrial workers > Female 14% [42nd of 79]
Industrial workers > Male 41% [9th of 79]
Labor force 22,190,000 Time series [22nd of 132]
    Labor force (per capita) 548,603.027 per million people Time series [15th of 131]
Labor force > By occupation
agriculture 5.3%, manufacturing, mining, and construction 30.1%, services 64.6%
Labor force > By occupation > Agriculture 5.3% Time series [22nd of 32]
Labor force > By occupation > Industry 30.1% Time series [4th of 29]
Labor force > By occupation > Services 64.6% Time series [13th of 29]
Long term unemployment 6% [5th of 27]
Long term unemployment > Share 44% [9th of 28]
Long-term unemployment > % of total unemployment 39.8 % Time series [11th of 48]
Long-term unemployment, female > % of female unemployment 43.9 % Time series [9th of 46]
Long-term unemployment, male > % of male unemployment 34.3 % Time series [13th of 46]
Minimum Age Convention, 1973 > Ratifications > Date May 16, 1977
Minimum Age Convention, 1973 > Ratifications > Minimum age 16 [23rd of 146]
Parental leave > Paid maternity leave 16 weeks
Regulation 70 [12th of 123]
Regulation > Employment Conditions 88 [26th of 123]
Regulation > Firing 45 [46th of 123]
Regulation > Hiring 76 [14th of 123]
regulations > % of managers surveyed ranking this as a major business constraint 11.77 % Time series [11th of 39]
Right to Organise and Collective Bargaining Convention > Ratifications > Date April 20, 1977
Rigidity of employment index 63 Time series [15th of 166]
Service workers > Female 81% [33rd of 79]
Service workers > Male 51% [41st of 79]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 42 % Time series [75th of 174]
skills > % of managers surveyed ranking this as a major business constraint 13.76 % Time series [12th of 38]
Strikes 189 [4th of 27]
Technicians in R&D > per million people 860.81 per million people Time series [11th of 49]
Temporary employment share 32.1% [1st of 26]
Unemployment benefit replacement 31 [10th of 20]
Unemployment gender ratio 212% [2nd of 30]
Unemployment rate 8.3% Time series [27th of 107]
Unemployment with secondary education, female > % of female unemployment 22.1 % Time series [53rd of 71]
Unemployment with secondary education, male > % of male unemployment 18.3 % Time series [52nd of 71]
Unemployment with tertiary education > % of total unemployment 22.7 % Time series [19th of 77]
Unemployment with tertiary education, female > % of female unemployment 25 % Time series [19th of 71]
Unemployment with tertiary education, male > % of male unemployment 19.5 % Time series [20th of 71]
Unemployment, female > % of female labor force 15 % Time series [14th of 95]
Unemployment, male > % of male labor force 8.2 % Time series [32nd of 95]
Unemployment, total > % of total labor force 11 % Time series [17th of 101]
Unemployment, youth female > % of female labor force ages 15-24 23.5 % Time series [16th of 77]
Unemployment, youth male > % of male labor force ages 15-24 16.7 % Time series [26th of 77]
Unemployment, youth total > % of total labor force ages 15-24 19.7 % Time series [20th of 77]
Vacation > Minimum vacation time around the world > legally required 30 calendar days
Workers' remittances and compensation of employees, paid > US$ 7,733,000,000 $ Time series [5th of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 6.876 $ per $1,000 of GDP Time series [57th of 166]
    Workers' remittances and compensation of employees, paid > US$ (per capita) 178.187 $ per 1,000 people Time series [23rd of 167]
Workers' remittances and compensation of employees, received > US$ 7,927,000,000 $ Time series [6th of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 7.048 $ per $1,000 of GDP Time series [99th of 165]
    Workers' remittances and compensation of employees, received > US$ (per capita) 182.658 $ per capita Time series [32nd of 167]
Workers' remittances, receipts > BoP, current US$ 5,338,925,000 BoP $ Time series [4th of 115]
    Workers' remittances, receipts > BoP, current US$ (per $ GDP) 4.747 BoP $ per $1 million of Time series [59th of 142]
    Workers' remittances, receipts > BoP, current US$ (per capita) 123.022 BoP $ per 1,000 people Time series [24th of 143]
Working mothers 43 [19th of 23]
Workplace safety > Dangerous Countries to Work In the EU > Fatalities 365 [3rd of 15]
Workplace safety in the EU > Fatalities 3.7 per 100,000 employees [3rd of 15]
Youth unemployment 25.5% [5th 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: Vacation ; Wikipedia: Workplace safety ;

ALTERNATIVE NAMES: Spain, Kingdom of Spain, Espana

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