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Africa > Botswana > Labor

MOTSWANA -BATSWANA LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
Compensation of employees > % of expense 30.95 % Time series [24th of 97]
Compensation of employees > current LCU 1444500000 Time series
Economic activity > Both sexes aged 10-14 14.39 [51st of 89]
Economic activity > Both sexes aged 15-19 39.8 [77th of 167]
Economic activity > Both sexes aged 20-24 80.47 [33rd of 166]
Economic activity > Both sexes aged 25-29 90.47 [23rd of 167]
Economic activity > Both sexes aged 30-34 89.7 [47th of 165]
Economic activity > Both sexes aged 35-39 88.18 [61st of 166]
Economic activity > Both sexes aged 40-44 85.78 [75th of 167]
Economic activity > Both sexes aged 45-49 82.04 [80th of 163]
Economic activity > Both sexes aged 50-54 75.71 [86th of 166]
Economic activity > Both sexes aged 55-59 71.12 [58th of 166]
Economic activity > Both sexes aged 60-64 59.24 [55th of 166]
Economic activity > Both sexes aged 65 plus 38.95 [49th of 165]
Economic activity > Men aged 10-14 14.82 [56th of 92]
Economic activity > Men aged 15-19 41.44 [95th of 164]
Economic activity > Men aged 20-24 85.52 [65th of 166]
Economic activity > Men aged 25-29 98.58 [1st of 165]
Economic activity > Men aged 30-34 98.72 [6th of 165]
Economic activity > Men aged 35-39 98.86 [6th of 164]
Economic activity > Men aged 40-44 98.81 [4th of 163]
Economic activity > Men aged 45-49 98.76 [2nd of 167]
Economic activity > Men aged 50-54 98.71 [1st of 165]
Economic activity > Men aged 55-59 98.6 [1st of 167]
Economic activity > Men aged 60-64 80.5 [53rd of 165]
Economic activity > Men aged 65 plus 65.02 [33rd of 162]
Economic activity > Women aged 10-14 13.96 [48th of 89]
Economic activity > Women aged 15-19 38.15 [57th of 164]
Economic activity > Women aged 20-24 75.4 [37th of 166]
Economic activity > Women aged 25-29 82.29 [39th of 165]
Economic activity > Women aged 30-34 80.58 [54th of 167]
Economic activity > Women aged 35-39 77.5 [67th of 165]
Economic activity > Women aged 40-44 73.11 [80th of 165]
Economic activity > Women aged 45-49 66.66 [83rd of 161]
Economic activity > Women aged 50-54 59.76 [85th of 166]
Economic activity > Women aged 55-59 53.16 [58th of 167]
Economic activity > Women aged 60-64 45.23 [44th of 165]
Economic activity > Women aged 65 plus 24.52 [46th of 167]
Employees, agriculture, female > % of female employment 18.6 % Time series [15th of 86]
Employees, agriculture, male > % of male employment 25.9 % Time series [17th of 86]
Employees, industry, female > % of female employment 13.3 % Time series [36th of 86]
Employees, industry, male > % of male employment 29.2 % Time series [43rd of 86]
Employees, services, female > % of female employment 58 % Time series [58th of 86]
Employees, services, male > % of male employment 42.8 % Time series [60th of 86]
Employment in agriculture > % of total employment 22.6 % Time series [16th of 94]
Employment in industry > % of total employment 22 % Time series [49th of 94]
Employment in services > % of total employment 49.7 % Time series [61st of 94]
Female economic activity 63% [37th of 156]
Female economic activity growth -4% [155th of 156]
Firing cost > weeks of wages 90 weeks of wages Time series [27th of 164]
force participation rate, female > % of female population ages 15-64 46.71 % Time series [146th of 184]
force participation rate, male > % of male population ages 15-64 68.23 % Time series [175th of 184]
force participation rate, total > % of total population ages 15-64 57.23 % Time series [168th of 184]
force with primary education > % of total 63.2 % Time series [5th of 48]
force with tertiary education > % of total 13.7 % Time series [36th of 52]
force, female > % of total labor force 41.76 % Time series [93rd of 184]
force, total 615,224.8 Time series [146th of 184]
    force, total (per capita) 0.349 per capita Time series [170th of 184]
Labor force 288,400 Time series [12th of 132]
    Labor force (per capita) 163,025.353 per million people Time series [29th of 131]
Long-term unemployment > % of total unemployment 45.4 % Time series [19th of 48]
Long-term unemployment, female > % of female unemployment 47.7 % Time series [17th of 46]
Long-term unemployment, male > % of male unemployment 42.8 % Time series [16th of 46]
Minimum Age Convention, 1973 > Ratifications > Date June 5, 1997
Minimum Age Convention, 1973 > Ratifications > Minimum age 14 [103rd of 146]
Parental leave > Paid maternity leave 12 weeks
Regulation 35 [110th of 123]
Regulation > Employment Conditions 55 [94th of 123]
Regulation > Firing 17 [106th of 123]
Regulation > Hiring 33 [83rd of 123]
regulations > % of managers surveyed ranking this as a major business constraint 1.55 % Time series [11th of 39]
Right to Organise and Collective Bargaining Convention > Ratifications > Date December 22, 1997
Rigidity of employment index 20 Time series [139th of 166]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 43 % Time series [70th of 174]
skills > % of managers surveyed ranking this as a major business constraint 9.42 % Time series [3rd of 38]
Unemployment rate 7.5% Time series [33rd of 107]
Unemployment with secondary education, female > % of female unemployment 25.2 % Time series [57th of 71]
Unemployment with secondary education, male > % of male unemployment 22.8 % Time series [54th of 71]
Unemployment, female > % of female labor force 22.3 % Time series [8th of 95]
Unemployment, male > % of male labor force 15.7 % Time series [11th of 95]
Unemployment, total > % of total labor force 18.6 % Time series [8th of 101]
Unemployment, youth female > % of female labor force ages 15-24 46.1 % Time series [3rd of 77]
Unemployment, youth male > % of male labor force ages 15-24 33.9 % Time series [6th of 77]
Unemployment, youth total > % of total labor force ages 15-24 39.7 % Time series [5th of 77]
Workers' remittances and compensation of employees, paid > US$ 123,000,000 $ Time series [59th of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 11.922 $ per $1,000 of GDP Time series [41st of 166]
    Workers' remittances and compensation of employees, paid > US$ (per capita) 69.691 $ per 1,000 people Time series [39th of 167]
Workers' remittances and compensation of employees, received > US$ 125,000,000 $ Time series [107th of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 12.115 $ per $1,000 of GDP Time series [81st of 165]
    Workers' remittances and compensation of employees, received > US$ (per capita) 70.824 $ per capita Time series [72nd of 167]
Workers' remittances, receipts > BoP, current US$ 82,356,170 BoP $ Time series [68th of 115]
    Workers' remittances, receipts > BoP, current US$ (per $ GDP) 7.982 BoP $ per $1 million of Time series [56th of 142]
    Workers' remittances, receipts > BoP, current US$ (per capita) 46.663 BoP $ per 1,000 people Time series [43rd 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: Botswana, Republic of Botswana

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