FACTOID # 7: Southern European women hugely outnumber their menfolk amongst the unemployed.
 
 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:   

Asia > Bhutan > Labor

BHUTANESE LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
Compensation of employees > % of expense 38.58 % Time series [19th of 97]
Compensation of employees > current LCU 2086774000 Time series
CPIA building human resources rating 4.5 Time series [1st of 75]
Economic activity > Both sexes aged 10-14 51.05 [2nd of 89]
Economic activity > Both sexes aged 15-19 66.81 [11th of 167]
Economic activity > Both sexes aged 20-24 76.61 [59th of 166]
Economic activity > Both sexes aged 25-29 78.98 [103rd of 167]
Economic activity > Both sexes aged 30-34 79.32 [108th of 165]
Economic activity > Both sexes aged 35-39 79.68 [106th of 166]
Economic activity > Both sexes aged 40-44 79.4 [103rd of 167]
Economic activity > Both sexes aged 45-49 78.34 [100th of 163]
Economic activity > Both sexes aged 50-54 75.97 [83rd of 166]
Economic activity > Both sexes aged 55-59 72.27 [55th of 166]
Economic activity > Both sexes aged 60-64 59.56 [52nd of 166]
Economic activity > Both sexes aged 65 plus 44.82 [38th of 165]
Economic activity > Men aged 10-14 56.51 [1st of 92]
Economic activity > Men aged 15-19 71.89 [7th of 164]
Economic activity > Men aged 20-24 90.28 [17th of 166]
Economic activity > Men aged 25-29 96.19 [49th of 165]
Economic activity > Men aged 30-34 97.45 [69th of 165]
Economic activity > Men aged 35-39 97.67 [77th of 164]
Economic activity > Men aged 40-44 97.91 [26th of 163]
Economic activity > Men aged 45-49 96.51 [66th of 167]
Economic activity > Men aged 50-54 94.55 [59th of 165]
Economic activity > Men aged 55-59 92.44 [41st of 167]
Economic activity > Men aged 60-64 82.91 [45th of 165]
Economic activity > Men aged 65 plus 66.51 [31st of 162]
Economic activity > Women aged 10-14 45.48 [2nd of 89]
Economic activity > Women aged 15-19 61.63 [16th of 164]
Economic activity > Women aged 20-24 62.59 [87th of 166]
Economic activity > Women aged 25-29 61.23 [104th of 165]
Economic activity > Women aged 30-34 60.61 [107th of 167]
Economic activity > Women aged 35-39 61.15 [107th of 165]
Economic activity > Women aged 40-44 60.46 [104th of 165]
Economic activity > Women aged 45-49 59.98 [99th of 161]
Economic activity > Women aged 50-54 57.67 [87th of 166]
Economic activity > Women aged 55-59 52.88 [60th of 167]
Economic activity > Women aged 60-64 38.13 [59th of 165]
Economic activity > Women aged 65 plus 27.42 [38th of 167]
Female economic activity 57.1% [65th of 156]
Female economic activity growth 0% [111st of 156]
Firing cost > weeks of wages 94.7 weeks of wages Time series [19th of 164]
force participation rate, female > % of female population ages 15-64 48.75 % Time series [136th of 184]
force participation rate, male > % of male population ages 15-64 81.35 % Time series [103rd of 184]
force participation rate, total > % of total population ages 15-64 65.27 % Time series [132nd of 184]
force, female > % of total labor force 36.6 % Time series [143rd of 184]
force, total 248,695.2 Time series [159th of 184]
    force, total (per capita) 0.391 per capita Time series [149th of 184]
Labor force > A note
massive lack of skilled labor
Labor force > By occupation
agriculture 93%, industry and commerce 2%, services 5%
Labor force > By occupation > Agriculture 63% Time series [6th of 32]
Labor force > By occupation > Industry 6% Time series [27th of 29]
Labor force > By occupation > Services 31% Time series [25th of 29]
Labor force > Note
major shortage of skilled labor
Rigidity of employment index 39 Time series [76th of 166]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 12 % Time series [162nd of 174]
Unemployment rate 2.5% Time series [29th of 107]
Unemployment, total > % of total labor force 3.1 % Time series [8th of 101]

SOURCES: 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; CIA World Factbook, December 2003; All CIA World Factbooks 18 December 2003 to 18 December 2008; CIA World Factbook, 14 June, 2007

ALTERNATIVE NAMES: Bhutan, Kingdom of Bhutan

Related links:

More facts and figures on Bhutan

 

COMMENTARY     

There are 1 more (non-authoritative) comments on this page

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.