FACTOID # 8: Danish workers strike 150 times more than their German neighbours.
 
 Home   Encyclopedia   Statistics   Countries A-Z   Flags   Maps   Education   Forum   FAQ   About 
 
 
 
WHAT'S NEW
 

FACTS & STATISTICS    Simple view

  1. Select countries to view: (hold down Control key and click to select several)

     

     

    Compare:

     

     

  1. Select fact or statistic: (* = graphable)

     

     

     

  2. (OPTIONAL) Compare to statistic: (both need to be graphable)

     

     

     

  3. View result as:

     

       
(OR) SEARCH ALL encyclopedia, stats & forums:   

Africa > Morocco > Labor

MOROCCAN LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
Agricultural workers > Female 6% [40th of 77]
Agricultural workers > Male 6% [60th of 78]
Child employment in agriculture > % of economically active children ages 7-14 60.56 % Time series [7th of 11]
Child employment in agriculture, female > % of female economically active children ages 7-14 60.3 % Time series [7th of 11]
Child employment in agriculture, male > % of male economically active children ages 7-14 60.78 % Time series [7th of 11]
Child employment in manufacturing > % of economically active children ages 7-14 8.25 % Time series [2nd of 10]
Child employment in manufacturing, female > % of female economically active children ages 7-14 8.46 % Time series [2nd of 10]
Child employment in manufacturing, male > % of male economically active children ages 7-14 8.05 % Time series [2nd of 10]
Child employment in services > % of economically active children ages 7-14 10.13 % Time series [4th of 11]
Child employment in services, female > % of female economically active children ages 7-14 6.43 % Time series [6th of 11]
Child employment in services, male > % of male economically active children ages 7-14 13.47 % Time series [2nd of 11]
Compensation of employees > % of expense 43.29 % Time series [6th of 97]
Compensation of employees > current LCU 62020000000 Time series
Economic activity > Both sexes aged 10-14 0.64 [86th of 89]
Economic activity > Both sexes aged 15-19 38.17 [84th of 167]
Economic activity > Both sexes aged 20-24 65.36 [141st of 166]
Economic activity > Both sexes aged 25-29 73.01 [135th of 167]
Economic activity > Both sexes aged 30-34 72.59 [143rd of 165]
Economic activity > Both sexes aged 35-39 70.57 [149th of 166]
Economic activity > Both sexes aged 40-44 70.62 [143rd of 167]
Economic activity > Both sexes aged 45-49 68.98 [135th of 163]
Economic activity > Both sexes aged 50-54 65.59 [122nd of 166]
Economic activity > Both sexes aged 55-59 59.65 [91st of 166]
Economic activity > Both sexes aged 60-64 46.18 [87th of 166]
Economic activity > Both sexes aged 65 plus 19.37 [90th of 165]
Economic activity > Men aged 10-14 0.21 [92nd of 92]
Economic activity > Men aged 15-19 42.28 [93rd of 164]
Economic activity > Men aged 20-24 79.54 [132nd of 166]
Economic activity > Men aged 25-29 94.67 [109th of 165]
Economic activity > Men aged 30-34 96.63 [119th of 165]
Economic activity > Men aged 35-39 96.95 [119th of 164]
Economic activity > Men aged 40-44 96.76 [97th of 163]
Economic activity > Men aged 45-49 95.53 [97th of 167]
Economic activity > Men aged 50-54 92.94 [85th of 165]
Economic activity > Men aged 55-59 86.61 [81st of 167]
Economic activity > Men aged 60-64 70.33 [79th of 165]
Economic activity > Men aged 65 plus 29.34 [93rd of 162]
Economic activity > Women aged 10-14 1.09 [85th of 89]
Economic activity > Women aged 15-19 33.92 [73rd of 164]
Economic activity > Women aged 20-24 50.64 [124th of 166]
Economic activity > Women aged 25-29 50.53 [136th of 165]
Economic activity > Women aged 30-34 47.68 [148th of 167]
Economic activity > Women aged 35-39 45.27 [146th of 165]
Economic activity > Women aged 40-44 44.9 [139th of 165]
Economic activity > Women aged 45-49 42.63 [127th of 161]
Economic activity > Women aged 50-54 39.65 [120th of 166]
Economic activity > Women aged 55-59 37.02 [91st of 167]
Economic activity > Women aged 60-64 28.02 [78th of 165]
Economic activity > Women aged 65 plus 10.95 [83rd of 167]
Economically active children, female 12.8 % Time series [7th of 34]
Economically active children, male 13.5 % Time series [5th of 34]
Economically active children, study and work 6.8 % Time series [10th of 34]
Economically active children, study and work, female 3.8 % Time series [10th of 34]
Economically active children, study and work, male 9.5 % Time series [10th of 34]
Economically active children, total 13.2 % Time series [6th of 34]
Economically active children, work only 93.2 % Time series [1st of 34]
Economically active children, work only, female 96.2 % Time series [1st of 33]
Economically active children, work only, male 90.5 % Time series [1st of 34]
Employees, agriculture, female > % of female employment 63 % Time series [1st of 86]
Employees, agriculture, male > % of male employment 41 % Time series [8th of 86]
Employees, industry, female > % of female employment 15 % Time series [27th of 86]
Employees, industry, male > % of male employment 23 % Time series [47th of 86]
Employees, services, female > % of female employment 22 % Time series [57th of 86]
Employees, services, male > % of male employment 36 % Time series [53rd of 86]
Employment in agriculture > % of total employment 47 % Time series [3rd of 94]
Employment in industry > % of total employment 21 % Time series [43rd of 94]
Employment in services > % of total employment 32 % Time series [60th of 94]
Female economic activity 41.4% [118th of 156]
Female economic activity growth 7% [55th of 156]
Firing cost > weeks of wages 85.1 weeks of wages Time series [35th of 164]
force participation rate, female > % of female population ages 15-64 28.67 % Time series [177th of 184]
force participation rate, male > % of male population ages 15-64 83.85 % Time series [69th of 184]
force participation rate, total > % of total population ages 15-64 56.06 % Time series [171st of 184]
force with primary education > % of total 45.2 % Time series [13th of 48]
force with secondary education > % of total 14.4 % Time series [48th of 51]
force with tertiary education > % of total 10.7 % Time series [45th of 52]
force, female > % of total labor force 25.46 % Time series [173rd of 184]
force, total 11,121,400 Time series [40th of 184]
    force, total (per capita) 0.369 per capita Time series [163rd of 184]
Industrial workers > Female 40% [3rd of 79]
Industrial workers > Male 32% [41st of 79]
Labor force 11,390,000 Time series [34th of 132]
    Labor force (per capita) 337,409.751 per million people Time series [98th of 131]
Labor force > By occupation
agriculture 40%, industry 15%, services 45%
Labor force > By occupation > Agriculture 40% Time series [8th of 32]
Labor force > By occupation > Industry 15% Time series [15th of 29]
Labor force > By occupation > Services 45% Time series [14th of 29]
Minimum Age Convention, 1973 > Ratifications > Date January 6, 2000
Minimum Age Convention, 1973 > Ratifications > Minimum age 15 [90th of 146]
Parental leave > Paid maternity leave 12 weeks
Regulation 51 [74th of 123]
Regulation > Employment Conditions 63 [81st of 123]
Regulation > Firing 33 [69th of 123]
Regulation > Hiring 56 [50th of 123]
regulations > % of managers surveyed ranking this as a major business constraint 16.24 % Time series [5th of 39]
Right to Organise and Collective Bargaining Convention > Ratifications > Date May 20, 1957
Rigidity of employment index 63 Time series [14th of 166]
Service workers > Female 54% [69th of 79]
Service workers > Male 63% [14th of 79]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 21.8 % Time series [118th of 174]
skills > % of managers surveyed ranking this as a major business constraint 21.06 % Time series [8th of 38]
Unemployment rate 9.8% Time series [15th of 107]
Unemployment with secondary education, female > % of female unemployment 22.85 % Time series [1st of 71]
Unemployment with secondary education, male > % of male unemployment 19.06 % Time series [1st of 71]
Unemployment with tertiary education > % of total unemployment 19.83 % Time series [2nd of 77]
Unemployment with tertiary education, female > % of female unemployment 32.46 % Time series [1st of 71]
Unemployment with tertiary education, male > % of male unemployment 14.81 % Time series [1st of 71]
Unemployment, female > % of female labor force 11.8 % Time series [4th of 95]
Unemployment, male > % of male labor force 11 % Time series [3rd of 95]
Unemployment, total > % of total labor force 11.2 % Time series [3rd of 101]
Unemployment, youth female > % of female labor force ages 15-24 15.9 % Time series [43rd of 77]
Unemployment, youth male > % of male labor force ages 15-24 17.4 % Time series [34th of 77]
Unemployment, youth total > % of total labor force ages 15-24 17 % Time series [38th of 77]
Workers' remittances and compensation of employees, paid > US$ 40,000,000 $ Time series [90th of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 0.775 $ per $1,000 of GDP Time series [121st of 166]
    Workers' remittances and compensation of employees, paid > US$ (per capita) 1.326 $ per 1,000 people Time series [124th of 167]
Workers' remittances and compensation of employees, received > US$ 4,589,000,000 $ Time series [14th of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 88.898 $ per $1,000 of GDP Time series [29th of 165]
    Workers' remittances and compensation of employees, received > US$ (per capita) 152.114 $ per capita Time series [42nd of 167]
Workers' remittances, receipts > BoP, current US$ 4,589,227,000 BoP $ Time series [6th of 115]
    Workers' remittances, receipts > BoP, current US$ (per $ GDP) 88.902 BoP $ per $1 million of Time series [19th of 142]
    Workers' remittances, receipts > BoP, current US$ (per capita) 152.122 BoP $ per 1,000 people Time series [18th of 143]

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; 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; All CIA World Factbooks 18 December 2003 to 18 December 2008; 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

ALTERNATIVE NAMES: Morocco, Kingdom of Morocco, Al Mamlakah al Maghribiyah, Al Maghrib

Related links:

More facts and figures on Morocco

 

COMMENTARY     


Share your thoughts, questions and commentary here
Your name
Your comments
Please enter the 5-letter protection code

Want to know more?
Search encyclopedia, statistics and forums:

 


Lesson Plans | Student Area | Student FAQ | Reviews | Press Releases |  Feeds | Contact
© Copyright NationMaster.com 2003-2010. All Rights Reserved. Usage implies agreement with terms.