FACTOID # 9: More than a third of the time, Icelanders don't show up for work. Perhaps that's why they're the world's happiest nation.
 
 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:   

Europe > Slovakia > Labor

SLOVAK LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
Agricultural workers > Female 5% [42nd of 77]
Agricultural workers > Male 10% [47th of 78]
Compensation of employees > % of expense 12.63 % Time series [58th of 97]
Compensation of employees > current LCU 63394000000 Time series
Economic activity > Both sexes aged 15-19 30.18 [115th of 167]
Economic activity > Both sexes aged 20-24 85.94 [11th of 166]
Economic activity > Both sexes aged 25-29 96.1 [1st of 167]
Economic activity > Both sexes aged 30-34 96.48 [3rd of 165]
Economic activity > Both sexes aged 35-39 96.3 [7th of 166]
Economic activity > Both sexes aged 40-44 95.65 [6th of 167]
Economic activity > Both sexes aged 45-49 93.23 [15th of 163]
Economic activity > Both sexes aged 50-54 87.56 [22nd of 166]
Economic activity > Both sexes aged 55-59 51.97 [126th of 166]
Economic activity > Both sexes aged 60-64 19.56 [152nd of 166]
Economic activity > Both sexes aged 65 plus 6.73 [140th of 165]
Economic activity > Men aged 15-19 30.91 [121st of 164]
Economic activity > Men aged 20-24 86.63 [53rd of 166]
Economic activity > Men aged 25-29 97.86 [7th of 165]
Economic activity > Men aged 30-34 98.19 [23rd of 165]
Economic activity > Men aged 35-39 97.72 [69th of 164]
Economic activity > Men aged 40-44 97.17 [76th of 163]
Economic activity > Men aged 45-49 94.63 [119th of 167]
Economic activity > Men aged 50-54 91.53 [104th of 165]
Economic activity > Men aged 55-59 78.76 [121st of 167]
Economic activity > Men aged 60-64 26.77 [154th of 165]
Economic activity > Men aged 65 plus 10.91 [136th of 162]
Economic activity > Women aged 15-19 29.42 [87th of 164]
Economic activity > Women aged 20-24 85.22 [8th of 166]
Economic activity > Women aged 25-29 94.29 [2nd of 165]
Economic activity > Women aged 30-34 94.73 [3rd of 167]
Economic activity > Women aged 35-39 94.85 [6th of 165]
Economic activity > Women aged 40-44 94.1 [9th of 165]
Economic activity > Women aged 45-49 91.86 [8th of 161]
Economic activity > Women aged 50-54 83.9 [16th of 166]
Economic activity > Women aged 55-59 29.54 [114th of 167]
Economic activity > Women aged 60-64 14.01 [126th of 165]
Economic activity > Women aged 65 plus 4.16 [126th of 167]
Employees, agriculture, female > % of female employment 2.6 % Time series [39th of 86]
Employees, agriculture, male > % of male employment 6.4 % Time series [36th of 86]
Employees, industry, female > % of female employment 25.2 % Time series [7th of 86]
Employees, industry, male > % of male employment 49.6 % Time series [1st of 86]
Employees, services, female > % of female employment 72 % Time series [37th of 86]
Employees, services, male > % of male employment 43.9 % Time series [46th of 86]
Employment in agriculture > % of total employment 4.7 % Time series [39th of 94]
Employment in industry > % of total employment 38.8 % Time series [2nd of 94]
Employment in services > % of total employment 56.3 % Time series [45th of 94]
employment rate > Source / date of > information 2003 OECD .
Female decision makers 31% [30th of 67]
Female economic activity 62.7% [38th of 156]
Female economic activity growth -1% [120th of 156]
Female professionals 62% [9th of 68]
Firing cost > weeks of wages 13 weeks of wages Time series [140th of 164]
force participation rate, female > % of female population ages 15-64 62.38 % Time series [68th of 184]
force participation rate, male > % of male population ages 15-64 76.4 % Time series [140th of 184]
force participation rate, total > % of total population ages 15-64 69.36 % Time series [96th of 184]
force with primary education > % of total 8.9 % Time series [38th of 48]
force with secondary education > % of total 79.6 % Time series [1st of 51]
force with tertiary education > % of total 11.5 % Time series [37th of 52]
force, female > % of total labor force 45.14 % Time series [58th of 184]
force, total 2,678,466 Time series [100th of 184]
    force, total (per capita) 0.497 per capita Time series [39th of 184]
Industrial workers > Female 26% [7th of 79]
Industrial workers > Male 49% [2nd of 79]
Labor force 2,654,000 Time series [83rd of 132]
    Labor force (per capita) 487,195.783 per million people Time series [43rd of 131]
Labor force > By occupation
agriculture 5.8%, industry 29.3%, construction 9%, services 55.9%
Long term unemployment 10.2% [1st of 27]
Long term unemployment > Share 48.2% [7th of 28]
Long-term unemployment > % of total unemployment 61.1 % Time series [1st of 48]
Long-term unemployment, female > % of female unemployment 62.1 % Time series [1st of 46]
Long-term unemployment, male > % of male unemployment 60.2 % Time series [1st of 46]
Minimum Age Convention, 1973 > Ratifications > Date September 29, 1997
Minimum Age Convention, 1973 > Ratifications > Minimum age 15 [87th of 146]
Regulation 61 [32nd of 123]
Regulation > Employment Conditions 89 [22nd of 123]
Regulation > Firing 60 [18th of 123]
Regulation > Hiring 34 [78th of 123]
regulations > % of managers surveyed ranking this as a major business constraint 4.55 % Time series [23rd of 39]
Right to Organise and Collective Bargaining Convention > Ratifications > Date January 1, 1993
Rigidity of employment index 39 Time series [78th of 166]
Service workers > Female 69% [55th of 79]
Service workers > Male 42% [65th of 79]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 52 % Time series [10th of 174]
skills > % of managers surveyed ranking this as a major business constraint 8.18 % Time series [24th of 38]
Technicians in R&D > per million people 444.69 per million people Time series [3rd of 49]
Temporary employment share 4% [25th of 26]
Unemployment gender ratio 100% [18th of 30]
Unemployment rate 8.4% Time series [26th of 107]
Unemployment with secondary education, female > % of female unemployment 70.6 % Time series [4th of 71]
Unemployment with secondary education, male > % of male unemployment 72.8 % Time series [2nd of 71]
Unemployment with tertiary education > % of total unemployment 4.3 % Time series [34th of 77]
Unemployment with tertiary education, female > % of female unemployment 4.5 % Time series [31st of 71]
Unemployment with tertiary education, male > % of male unemployment 4.1 % Time series [31st of 71]
Unemployment, female > % of female labor force 19.1 % Time series [7th of 95]
Unemployment, male > % of male labor force 17.3 % Time series [6th of 95]
Unemployment, total > % of total labor force 18.1 % Time series [8th of 101]
Unemployment, youth female > % of female labor force ages 15-24 28.8 % Time series [12th of 77]
Unemployment, youth male > % of male labor force ages 15-24 30.4 % Time series [5th of 77]
Unemployment, youth total > % of total labor force ages 15-24 29.7 % Time series [5th of 77]
Workers' remittances and compensation of employees, paid > US$ 16,000,000 $ Time series [113rd of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 0.345 $ per $1,000 of GDP Time series [131st of 166]
    Workers' remittances and compensation of employees, paid > US$ (per capita) 2.97 $ per 1,000 people Time series [108th of 167]
Workers' remittances and compensation of employees, received > US$ 424,000,000 $ Time series [78th of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 9.136 $ per $1,000 of GDP Time series [92nd of 165]
    Workers' remittances and compensation of employees, received > US$ (per capita) 78.708 $ per capita Time series [66th of 167]
Workers' remittances, receipts > BoP, current US$ 7,318,302 BoP $ Time series [70th of 115]
    Workers' remittances, receipts > BoP, current US$ (per $ GDP) 345.193 BoP $ per $1 million of Time series [108th of 142]
    Workers' remittances, receipts > BoP, current US$ (per capita) 1,359.462 BoP $ per 1,000 people Time series [100th of 143]
Working mothers 41 [20th of 23]
Youth unemployment 35.2% [2nd of 30]

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; 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; All CIA World Factbooks 18 December 2003 to 18 December 2008; OECD (Organization for Economic Co-operation and Development). 2001. Employment Outlook. Paris; OECD; Wikipedia: Minimum Age Convention, 1973 ; 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 ; 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; OECD;

ALTERNATIVE NAMES: Slovakia, Slovak Republic, Slovenska Republika, Slovensko, slovak rep. c

Interesting facts on Slovak Labor

Related links:

More facts and figures on Slovakia
 

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.