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:   

South America > Argentina > Labor

ARGENTINE LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
Agricultural workers > Male 1% [78th of 78]
Compensation of employees > % of expense 11.51 % Time series [80th of 97]
Compensation of employees > current LCU 9419942000 Time series
Economic activity > Both sexes aged 10-14 2.4 [78th of 89]
Economic activity > Both sexes aged 15-19 38.12 [85th of 167]
Economic activity > Both sexes aged 20-24 72.59 [89th of 166]
Economic activity > Both sexes aged 25-29 75.52 [125th of 167]
Economic activity > Both sexes aged 30-34 74.93 [134th of 165]
Economic activity > Both sexes aged 35-39 72.78 [143rd of 166]
Economic activity > Both sexes aged 40-44 69.98 [146th of 167]
Economic activity > Both sexes aged 45-49 67.11 [143rd of 163]
Economic activity > Both sexes aged 50-54 62.66 [134th of 166]
Economic activity > Both sexes aged 55-59 49.99 [138th of 166]
Economic activity > Both sexes aged 60-64 29.9 [130th of 166]
Economic activity > Both sexes aged 65 plus 9.93 [123rd of 165]
Economic activity > Men aged 10-14 1.18 [88th of 92]
Economic activity > Men aged 15-19 53.12 [60th of 164]
Economic activity > Men aged 20-24 84.91 [70th of 166]
Economic activity > Men aged 25-29 95.55 [77th of 165]
Economic activity > Men aged 30-34 97.74 [44th of 165]
Economic activity > Men aged 35-39 97.87 [56th of 164]
Economic activity > Men aged 45-49 94.67 [117th of 167]
Economic activity > Men aged 50-54 90.1 [121st of 165]
Economic activity > Men aged 55-59 77.88 [128th of 167]
Economic activity > Men aged 60-64 52.5 [119th of 165]
Economic activity > Men aged 65 plus 20.59 [112nd of 162]
Economic activity > Women aged 10-14 3.66 [70th of 89]
Economic activity > Women aged 15-19 22.69 [119th of 164]
Economic activity > Women aged 20-24 60.05 [100th of 166]
Economic activity > Women aged 25-29 55.24 [122nd of 165]
Economic activity > Women aged 30-34 51.95 [136th of 167]
Economic activity > Women aged 35-39 47.92 [138th of 165]
Economic activity > Women aged 40-44 44.24 [141st of 165]
Economic activity > Women aged 45-49 40.85 [134th of 161]
Economic activity > Women aged 50-54 36.85 [132nd of 166]
Economic activity > Women aged 55-59 24.29 [132nd of 167]
Economic activity > Women aged 60-64 10.25 [146th of 165]
Economic activity > Women aged 65 plus 2.52 [146th of 167]
Economically active children, female 16 % Time series [1st of 34]
Economically active children, male 25.4 % Time series [1st of 34]
Economically active children, study and work 91.4 % Time series [1st of 34]
Economically active children, study and work, female 93.7 % Time series [1st of 34]
Economically active children, study and work, male 90 % Time series [1st of 34]
Economically active children, total 20.7 % Time series [1st of 34]
Economically active children, work only 8.6 % Time series [2nd of 34]
Economically active children, work only, female 6.3 % Time series [2nd of 33]
Economically active children, work only, male 10 % Time series [2nd of 34]
Employees, agriculture, female > % of female employment 0.6 % Time series [51st of 86]
Employees, agriculture, male > % of male employment 1.5 % Time series [53rd of 86]
Employees, industry, female > % of female employment 11 % Time series [41st of 86]
Employees, industry, male > % of male employment 32.7 % Time series [27th of 86]
Employees, services, female > % of female employment 88 % Time series [8th of 86]
Employees, services, male > % of male employment 65.6 % Time series [6th of 86]
Employment in agriculture > % of total employment 1.1 % Time series [57th of 94]
Employment in industry > % of total employment 23.5 % Time series [31st of 94]
Employment in services > % of total employment 75.1 % Time series [12th of 94]
Female economic activity 35.6% [139th of 156]
Female economic activity growth 22% [11th of 156]
Firing cost > weeks of wages 138.7 weeks of wages Time series [8th of 164]
force participation rate, female > % of female population ages 15-64 61.08 % Time series [73rd of 184]
force participation rate, male > % of male population ages 15-64 82.43 % Time series [92nd of 184]
force participation rate, total > % of total population ages 15-64 71.65 % Time series [71st of 184]
force, female > % of total labor force 42.86 % Time series [84th of 184]
force, total 18,360,640 Time series [31st of 184]
    force, total (per capita) 0.474 per capita Time series [65th of 184]
Industrial workers > Female 10% [64th of 79]
Industrial workers > Male 34% [28th of 79]
Labor force 16,030,000 Time series [30th of 132]
    Labor force (per capita) 397,747.731 per million people Time series [86th of 131]
Labor force > By occupation
agriculture NA%, industry NA%, services NA%
Labor force > By occupation > Agriculture 1% Time series [15th of 32]
Labor force > By occupation > Industry 23% Time series [9th of 29]
Labor force > By occupation > Services 76% Time series [2nd of 29]
Minimum Age Convention, 1973 > Ratifications > Date November 11, 1996
Minimum Age Convention, 1973 > Ratifications > Minimum age 14 [128th of 146]
Parental leave > Paid maternity leave 90 days
Parental leave > Paid paternity leave Two days
Regulation 66 [18th of 123]
Regulation > Employment Conditions 81 [46th of 123]
Regulation > Firing 46 [41st of 123]
Regulation > Hiring 71 [17th of 123]
regulations > % of managers surveyed ranking this as a major business constraint 15.36 % Time series [2nd of 39]
Right to Organise and Collective Bargaining Convention > Ratifications > Date September 24, 1956
Rigidity of employment index 41 Time series [74th of 166]
Seafarers' Pensions Convention > Ratification Date February 17, 1955
Service workers > Female 89% [2nd of 79]
Service workers > Male 64% [7th of 79]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 45.5 % Time series [60th of 174]
skills > % of managers surveyed ranking this as a major business constraint 6 % Time series [7th of 38]
Technicians in R&D > per million people 316.43 per million people Time series [25th of 49]
Unemployment rate 8.5% Time series [24th of 107]
Unemployment with secondary education, female > % of female unemployment 46.9 % Time series [30th of 71]
Unemployment with secondary education, male > % of male unemployment 32.8 % Time series [43rd of 71]
Unemployment with tertiary education > % of total unemployment 17.7 % Time series [32nd of 77]
Unemployment with tertiary education, female > % of female unemployment 22.9 % Time series [22nd of 71]
Unemployment with tertiary education, male > % of male unemployment 14.3 % Time series [31st of 71]
Unemployment, female > % of female labor force 14.7 % Time series [23rd of 95]
Unemployment, male > % of male labor force 16.3 % Time series [8th of 95]
Unemployment, total > % of total labor force 15.6 % Time series [11th of 101]
Unemployment, youth female > % of female labor force ages 15-24 28 % Time series [13th of 77]
Unemployment, youth male > % of male labor force ages 15-24 21.6 % Time series [10th of 77]
Unemployment, youth total > % of total labor force ages 15-24 24.2 % Time series [11th of 77]
Vacation > Minimum vacation time around the world > legally required
14 calendar days (from 0 to 5 years seniority), 21 calendar days (from 5 to 10), 28 calendar days (from 10 to 20) and 35 calendar days (from 20)
Workers' remittances and compensation of employees, paid > US$ 279,000,000 $ Time series [44th of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 1.523 $ per $1,000 of GDP Time series [104th of 166]
    Workers' remittances and compensation of employees, paid > US$ (per capita) 7.201 $ per 1,000 people Time series [90th of 167]
Workers' remittances and compensation of employees, received > US$ 413,000,000 $ Time series [80th of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 2.254 $ per $1,000 of GDP Time series [133rd of 165]
    Workers' remittances and compensation of employees, received > US$ (per capita) 10.659 $ per capita Time series [125th of 167]
Workers' remittances, receipts > BoP, current US$ 381,394,000 BoP $ Time series [48th of 115]
    Workers' remittances, receipts > BoP, current US$ (per $ GDP) 2.082 BoP $ per $1 million of Time series [68th of 142]
    Workers' remittances, receipts > BoP, current US$ (per capita) 9.843 BoP $ per 1,000 people Time series [67th 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 ; Wikipedia: Seafarers' Pensions Convention, 1946 ; Wikipedia: Vacation

ALTERNATIVE NAMES: Argentina, Argentine Republic, Republica Argentina

Related links:

More facts and figures on Argentina
 

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 2003-2009. All Rights Reserved. Usage implies agreement with terms.