FACTOID # 11: If you are looking for work, just go to the Falkland Islands! They have full employment and a labor shortage.
 
 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 > Chile > Labor

CHILEAN LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
Agricultural workers > Female 5% [43rd of 77]
Agricultural workers > Male 19% [29th of 78]
Child employment in agriculture > % of economically active children ages 7-14 24.38 % Time series [6th of 11]
Child employment in agriculture, female > % of female economically active children ages 7-14 11.89 % Time series [5th of 11]
Child employment in agriculture, male > % of male economically active children ages 7-14 31.51 % Time series [6th of 11]
Child employment in manufacturing > % of economically active children ages 7-14 6.93 % Time series [5th of 10]
Child employment in manufacturing, female > % of female economically active children ages 7-14 5.81 % Time series [5th of 10]
Child employment in manufacturing, male > % of male economically active children ages 7-14 7.58 % Time series [3rd of 10]
Child employment in services > % of economically active children ages 7-14 66.52 % Time series [1st of 11]
Child employment in services, female > % of female economically active children ages 7-14 80.55 % Time series [2nd of 11]
Child employment in services, male > % of male economically active children ages 7-14 58.52 % Time series [1st of 11]
Compensation of employees > % of expense 20.83 % Time series [38th of 97]
Compensation of employees > current LCU 2517790000000 Time series
Economic activity > Both sexes aged 15-19 23.28 [139th of 167]
Economic activity > Both sexes aged 20-24 64.06 [146th of 166]
Economic activity > Both sexes aged 25-29 72.46 [138th of 167]
Economic activity > Both sexes aged 30-34 74.1 [138th of 165]
Economic activity > Both sexes aged 35-39 74.91 [131st of 166]
Economic activity > Both sexes aged 40-44 74.29 [128th of 167]
Economic activity > Both sexes aged 45-49 69.83 [127th of 163]
Economic activity > Both sexes aged 50-54 63.01 [133rd of 166]
Economic activity > Both sexes aged 55-59 54.27 [117th of 166]
Economic activity > Both sexes aged 60-64 37.65 [111st of 166]
Economic activity > Both sexes aged 65 plus 12.27 [117th of 165]
Economic activity > Men aged 15-19 29.3 [128th of 164]
Economic activity > Men aged 20-24 81.12 [112nd of 166]
Economic activity > Men aged 25-29 93.72 [124th of 165]
Economic activity > Men aged 30-34 97.22 [86th of 165]
Economic activity > Men aged 35-39 97.75 [66th of 164]
Economic activity > Men aged 40-44 96.92 [89th of 163]
Economic activity > Men aged 45-49 94.92 [115th of 167]
Economic activity > Men aged 50-54 88.87 [133rd of 165]
Economic activity > Men aged 55-59 77.93 [126th of 167]
Economic activity > Men aged 60-64 61.11 [104th of 165]
Economic activity > Men aged 65 plus 25.08 [102nd of 162]
Economic activity > Women aged 15-19 17.07 [145th of 164]
Economic activity > Women aged 20-24 46.57 [138th of 166]
Economic activity > Women aged 25-29 50.88 [134th of 165]
Economic activity > Women aged 30-34 50.82 [140th of 167]
Economic activity > Women aged 35-39 52.16 [130th of 165]
Economic activity > Women aged 40-44 51.95 [121st of 165]
Economic activity > Women aged 45-49 45.37 [123rd of 161]
Economic activity > Women aged 50-54 38.38 [124th of 166]
Economic activity > Women aged 55-59 32.5 [104th of 167]
Economic activity > Women aged 65 plus 3.16 [138th of 167]
Economically active children, female 6.88 % Time series [4th of 34]
Economically active children, male 10.55 % Time series [5th of 34]
Economically active children, study and work 95.96 % Time series [1st of 34]
Economically active children, study and work, female 94.57 % Time series [2nd of 34]
Economically active children, study and work, male 96.81 % Time series [1st of 34]
Economically active children, total 8.77 % Time series [5th of 34]
Economically active children, work only 4.04 % Time series [6th of 34]
Economically active children, work only, female 5.43 % Time series [5th of 33]
Economically active children, work only, male 3.19 % Time series [6th of 34]
Employees, agriculture, female > % of female employment 5.8 % Time series [25th of 86]
Employees, agriculture, male > % of male employment 17.1 % Time series [19th of 86]
Employees, industry, female > % of female employment 11.5 % Time series [40th of 86]
Employees, industry, male > % of male employment 29.1 % Time series [40th of 86]
Employees, services, female > % of female employment 82.7 % Time series [22nd of 86]
Employees, services, male > % of male employment 53.8 % Time series [28th of 86]
Employment in agriculture > % of total employment 13.2 % Time series [23rd of 94]
Employment in industry > % of total employment 23 % Time series [32nd of 94]
Employment in services > % of total employment 63.9 % Time series [32nd of 94]
Female decision makers 26% [45th of 67]
Female economic activity 37.6% [129th of 156]
Female economic activity growth 18% [19th of 156]
Female professionals 52% [27th of 68]
Firing cost > weeks of wages 52 weeks of wages Time series [64th of 164]
force participation rate, female > % of female population ages 15-64 40.92 % Time series [155th of 184]
force participation rate, male > % of male population ages 15-64 75.98 % Time series [147th of 184]
force participation rate, total > % of total population ages 15-64 58.39 % Time series [164th of 184]
force with primary education > % of total 31 % Time series [15th of 48]
force with secondary education > % of total 47.2 % Time series [12th of 51]
force with tertiary education > % of total 21.6 % Time series [7th of 52]
force, female > % of total labor force 35.09 % Time series [149th of 184]
force, total 6,512,221 Time series [58th of 184]
    force, total (per capita) 0.4 per capita Time series [136th of 184]
Industrial workers > Female 14% [41st of 79]
Industrial workers > Male 31% [46th of 79]
Labor force 7,167,000 Time series [46th of 132]
    Labor force (per capita) 440,105.249 per million people Time series [67th of 131]
Labor force > By occupation
agriculture 13.6%, industry 23.4%, services 63%
Labor force > By occupation > Agriculture 13.6% Time series [17th of 32]
Labor force > By occupation > Industry 23.4% Time series [7th of 29]
Labor force > By occupation > Services 63% Time series [7th of 29]
Long-term unemployment > % of total unemployment 59.7 % Time series [7th of 48]
Long-term unemployment, female > % of female unemployment 72.5 % Time series [1st of 46]
Long-term unemployment, male > % of male unemployment 53.2 % Time series [7th of 46]
Minimum Age Convention, 1973 > Ratifications > Date February 1, 1999
Minimum Age Convention, 1973 > Ratifications > Minimum age 15 [44th of 146]
Parental leave > Paid maternity leave 18 weeks
Parental leave > Paid paternity leave
Article 66 indicates 1 day paid; Law N° 20.047 (2005) increased paternity leave to 4 days paid leave. (edward gonzalez-acosta, The New School)
Regulation 50 [79th of 123]
Regulation > Employment Conditions 65 [77th of 123]
Regulation > Firing 29 [84th of 123]
Regulation > Hiring 56 [51st of 123]
regulations > % of managers surveyed ranking this as a major business constraint 25.42 % Time series [4th of 39]
Right to Organise and Collective Bargaining Convention > Ratifications > Date February 1, 1999
Rigidity of employment index 24 Time series [124th of 166]
Service workers > Female 82% [29th of 79]
Service workers > Male 49% [47th of 79]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 38.1 % Time series [95th of 174]
skills > % of managers surveyed ranking this as a major business constraint 23.84 % Time series [6th of 38]
Technicians in R&D > per million people 303.08 per million people Time series [26th of 49]
Unemployment rate 7% Time series [42nd of 107]
Unemployment with tertiary education > % of total unemployment 21.8 % Time series [21st of 77]
Unemployment, female > % of female labor force 9.5 % Time series [36th of 95]
Unemployment, male > % of male labor force 6.9 % Time series [42nd of 95]
Unemployment, total > % of total labor force 7.8 % Time series [43rd of 101]
Unemployment, youth female > % of female labor force ages 15-24 21 % Time series [19th of 77]
Unemployment, youth male > % of male labor force ages 15-24 15.2 % Time series [31st of 77]
Unemployment, youth total > % of total labor force ages 15-24 17.3 % Time series [27th of 77]
Vacation > Minimum vacation time around the world > legally required 15 working days
Workers' remittances and compensation of employees, paid > US$ 6,000,000 $ Time series [129th of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 0.052 $ per $1,000 of GDP Time series [141st of 166]
    Workers' remittances and compensation of employees, paid > US$ (per capita) 0.368 $ per 1,000 people Time series [136th of 167]
Workers' remittances and compensation of employees, received > US$ 3,000,000 $ Time series [146th of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 0.026 $ per $1,000 of GDP Time series [152nd of 165]
    Workers' remittances and compensation of employees, received > US$ (per capita) 0.184 $ per capita Time series [154th of 167]

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 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; 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: Vacation

ALTERNATIVE NAMES: Chile, Republic of Chile, Republica de Chile

Related links:

More facts and figures on Chile

 

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.