FACTOID # 12: 61.5% of Swedes work more than 40 hours per week, but just across the border in Norway only 15.8% of people work this long.
 
 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 > Chad > Labor

CHADIAN LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
CPIA building human resources rating 3 Time series [64th of 75]
Economic activity > Both sexes aged 10-14 36.64 [14th of 89]
Economic activity > Both sexes aged 15-19 62.45 [17th of 167]
Economic activity > Both sexes aged 20-24 81.55 [23rd of 166]
Economic activity > Both sexes aged 25-29 84.56 [64th of 167]
Economic activity > Both sexes aged 30-34 86.86 [67th of 165]
Economic activity > Both sexes aged 35-39 87.56 [66th of 166]
Economic activity > Both sexes aged 40-44 87.46 [66th of 167]
Economic activity > Both sexes aged 45-49 85.38 [64th of 163]
Economic activity > Both sexes aged 50-54 84.51 [35th of 166]
Economic activity > Both sexes aged 55-59 78.74 [26th of 166]
Economic activity > Both sexes aged 60-64 66.99 [29th of 166]
Economic activity > Both sexes aged 65 plus 39.18 [45th of 165]
Economic activity > Men aged 10-14 38.58 [12th of 92]
Economic activity > Men aged 15-19 65.9 [19th of 164]
Economic activity > Men aged 20-24 91.84 [9th of 166]
Economic activity > Men aged 25-29 97.12 [26th of 165]
Economic activity > Men aged 30-34 97.47 [64th of 165]
Economic activity > Men aged 35-39 98.29 [24th of 164]
Economic activity > Men aged 40-44 97.26 [66th of 163]
Economic activity > Men aged 45-49 96.79 [58th of 167]
Economic activity > Men aged 50-54 97.03 [8th of 165]
Economic activity > Men aged 55-59 90.16 [65th of 167]
Economic activity > Men aged 60-64 78.3 [57th of 165]
Economic activity > Men aged 65 plus 59.71 [38th of 162]
Economic activity > Women aged 10-14 34.71 [14th of 89]
Economic activity > Women aged 15-19 59.02 [20th of 164]
Economic activity > Women aged 20-24 71.45 [56th of 166]
Economic activity > Women aged 25-29 72.17 [74th of 165]
Economic activity > Women aged 30-34 76.41 [66th of 167]
Economic activity > Women aged 35-39 77.07 [69th of 165]
Economic activity > Women aged 40-44 78.01 [63rd of 165]
Economic activity > Women aged 45-49 74.48 [61st of 161]
Economic activity > Women aged 50-54 72.97 [45th of 166]
Economic activity > Women aged 55-59 68.43 [26th of 167]
Economic activity > Women aged 60-64 57.07 [23rd of 165]
Economic activity > Women aged 65 plus 22.75 [51st of 167]
Economically active children, female 66.45 % Time series [5th of 34]
Economically active children, male 73.45 % Time series [1st of 34]
Economically active children, study and work 55.43 % Time series [25th of 34]
Economically active children, study and work, female 44.3 % Time series [27th of 34]
Economically active children, study and work, male 65.99 % Time series [20th of 34]
Economically active children, total 69.87 % Time series [3rd of 34]
Economically active children, work only 44.57 % Time series [10th of 34]
Economically active children, work only, female 55.7 % Time series [8th of 33]
Economically active children, work only, male 34.01 % Time series [15th of 34]
Female economic activity 67.2% [26th of 156]
Female economic activity growth 1% [94th of 156]
Firing cost > weeks of wages 35.8 weeks of wages Time series [87th of 164]
force participation rate, female > % of female population ages 15-64 66 % Time series [50th of 184]
force participation rate, male > % of male population ages 15-64 77.03 % Time series [135th of 184]
force participation rate, total > % of total population ages 15-64 71.44 % Time series [72nd of 184]
force with secondary education > % of total 26.2 % Time series [15th of 51]
force with tertiary education > % of total 0.6 % Time series [20th of 52]
force, female > % of total labor force 46.94 % Time series [31st of 184]
force, total 3,666,486 Time series [89th of 184]
    force, total (per capita) 0.376 per capita Time series [157th of 184]
Labor force 3,747,000 Time series [73rd of 132]
    Labor force (per capita) 375,186.73 per million people Time series [103rd of 131]
Labor force > By occupation
agriculture more than 80% (subsistence farming, herding, and fishing)
Labor force > By occupation > Agriculture 80% Time series [1st of 32]
Labor force > By occupation > Industry and services 20% [15th of 22]
Minimum Age Convention, 1973 > Ratifications > Date March 21, 2005
Minimum Age Convention, 1973 > Ratifications > Minimum age 14 [108th of 146]
Parental leave > Paid maternity leave 14 weeks
Parental leave > Paid paternity leave
Up to 10 days paid leave for family events concerning workers' home
Regulation 66 [19th of 123]
Regulation > Employment Conditions 93 [3rd of 123]
Regulation > Firing 27 [85th of 123]
Regulation > Hiring 78 [4th of 123]
Right to Organise and Collective Bargaining Convention > Ratifications > Date June 8, 1961
Rigidity of employment index 60 Time series [18th of 166]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 12.8 % Time series [132nd of 174]
Unemployment with tertiary education > % of total unemployment 11.9 % Time series [20th of 77]
Unemployment, female > % of female labor force 0.2 % Time series [71st of 95]
Unemployment, male > % of male labor force 1.1 % Time series [71st of 95]
Unemployment, total > % of total labor force 0.7 % Time series [78th of 101]
Workers' remittances and compensation of employees, paid > US$ 15,000,000 $ Time series [76th of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 12.714 $ per $1,000 of GDP Time series [43rd of 166]
    Workers' remittances and compensation of employees, paid > US$ (per capita) 2.198 $ per 1,000 people Time series [107th of 167]
Workers' remittances and compensation of employees, received > US$ 1,000,000 $ Time series [123rd of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 0.848 $ per $1,000 of GDP Time series [143rd of 165]
    Workers' remittances and compensation of employees, received > US$ (per capita) 0.147 $ per capita Time series [158th of 167]
Workers' remittances, receipts > BoP, current US$ 715,051.6 BoP $ Time series [74th of 115]
    Workers' remittances, receipts > BoP, current US$ (per $ GDP) 606.054 BoP $ per $1 million of Time series [106th of 142]
    Workers' remittances, receipts > BoP, current US$ (per capita) 104.768 BoP $ per 1,000 people Time series [125th of 143]

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; 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: Chad, Republic of Chad, Republique du Tchad, Tchad

Related links:

More facts and figures on Chad
 

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.