FACTOID # 1: Guatamalan women work 11.5 hours a day, while South African men work only 4.5.
 
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Africa > Zimbabwe > Labor

ZIMBABWEAN LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
Compensation of employees > % of expense 37.74 % Time series [13th of 97]
Compensation of employees > current LCU 12952500000 Time series
CPIA building human resources rating 2 Time series [75th of 75]
Economic activity > Both sexes aged 10-14 27.04 [27th of 89]
Economic activity > Both sexes aged 15-19 48.34 [51st of 167]
Economic activity > Both sexes aged 20-24 76.65 [58th of 166]
Economic activity > Both sexes aged 25-29 82.57 [82nd of 167]
Economic activity > Both sexes aged 30-34 90.22 [41st of 165]
Economic activity > Both sexes aged 35-39 88.95 [57th of 166]
Economic activity > Both sexes aged 40-44 87.82 [61st of 167]
Economic activity > Both sexes aged 45-49 87.41 [50th of 163]
Economic activity > Both sexes aged 50-54 85.36 [33rd of 166]
Economic activity > Both sexes aged 55-59 82.74 [17th of 166]
Economic activity > Both sexes aged 60-64 76.47 [13th of 166]
Economic activity > Both sexes aged 65 plus 57.68 [8th of 165]
Economic activity > Men aged 10-14 30.45 [25th of 92]
Economic activity > Men aged 15-19 53.59 [58th of 164]
Economic activity > Men aged 20-24 89.02 [30th of 166]
Economic activity > Men aged 25-29 97.34 [17th of 165]
Economic activity > Men aged 30-34 97.68 [49th of 165]
Economic activity > Men aged 35-39 97.88 [55th of 164]
Economic activity > Men aged 40-44 97.68 [38th of 163]
Economic activity > Men aged 45-49 97.61 [23rd of 167]
Economic activity > Men aged 50-54 96.08 [28th of 165]
Economic activity > Men aged 55-59 93.92 [26th of 167]
Economic activity > Men aged 60-64 86.83 [35th of 165]
Economic activity > Men aged 65 plus 59.55 [39th of 162]
Economic activity > Women aged 10-14 23.63 [32nd of 89]
Economic activity > Women aged 15-19 43.11 [50th of 164]
Economic activity > Women aged 20-24 64.4 [82nd of 166]
Economic activity > Women aged 25-29 67.95 [90th of 165]
Economic activity > Women aged 30-34 82.86 [42nd of 167]
Economic activity > Women aged 35-39 80.2 [56th of 165]
Economic activity > Women aged 40-44 78.31 [62nd of 165]
Economic activity > Women aged 45-49 77.81 [54th of 161]
Economic activity > Women aged 50-54 75.27 [40th of 166]
Economic activity > Women aged 55-59 72.25 [20th of 167]
Economic activity > Women aged 60-64 66.87 [11th of 165]
Economic activity > Women aged 65 plus 56.07 [6th of 167]
Economically active children, female 15.3 % Time series [3rd of 34]
Economically active children, male 13.3 % Time series [6th of 34]
Economically active children, study and work 88 % Time series [3rd of 34]
Economically active children, study and work, female 88.6 % Time series [3rd of 34]
Economically active children, study and work, male 87.2 % Time series [3rd of 34]
Economically active children, total 14.3 % Time series [5th of 34]
Economically active children, work only 12 % Time series [8th of 34]
Economically active children, work only, female 11.4 % Time series [8th of 33]
Economically active children, work only, male 12.8 % Time series [8th of 34]
Female economic activity 65.3% [33rd of 156]
Female economic activity growth -2% [130th of 156]
Firing cost > weeks of wages 446.3 weeks of wages Time series [1st of 164]
force participation rate, female > % of female population ages 15-64 64.53 % Time series [55th of 184]
force participation rate, male > % of male population ages 15-64 85.17 % Time series [49th of 184]
force participation rate, total > % of total population ages 15-64 74.75 % Time series [46th of 184]
force, female > % of total labor force 44 % Time series [72nd of 184]
force, total 5,762,575 Time series [65th of 184]
    force, total (per capita) 0.443 per capita Time series [90th of 184]
Labor force 4,032,000 Time series [67th of 132]
    Labor force (per capita) 327,508.177 per million people Time series [101st of 131]
Labor force > By occupation
agriculture 66%, industry 10%, services 24%
Labor force > By occupation > Agriculture 66% Time series [4th of 32]
Labor force > By occupation > Industry 10% Time series [5th of 29]
Labor force > By occupation > Services 24% Time series [4th of 29]
Minimum Age Convention, 1973 > Ratifications > Date June 6, 2000
Minimum Age Convention, 1973 > Ratifications > Minimum age 14 [146th of 146]
Parental leave > Paid maternity leave 90 days
Regulation 27 [118th of 123]
Regulation > Employment Conditions 22 [123rd of 123]
Regulation > Firing 26 [89th of 123]
Regulation > Hiring 33 [89th of 123]
Right to Organise and Collective Bargaining Convention > Ratifications > Date August 27, 1998
Rigidity of employment index 34 Time series [94th of 166]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 21.8 % Time series [117th of 174]
Unemployment rate 80% Time series [1st of 107]
Unemployment with secondary education, female > % of female unemployment 76.8 % Time series [3rd of 71]
Unemployment with secondary education, male > % of male unemployment 84.8 % Time series [1st of 71]
Unemployment with tertiary education > % of total unemployment 0.8 % Time series [74th of 77]
Unemployment with tertiary education, female > % of female unemployment 1.1 % Time series [67th of 71]
Unemployment with tertiary education, male > % of male unemployment 0.6 % Time series [68th of 71]
Unemployment, female > % of female labor force 6.1 % Time series [59th of 95]
Unemployment, male > % of male labor force 10.4 % Time series [24th of 95]
Unemployment, total > % of total labor force 8.2 % Time series [54th of 101]
Unemployment, youth female > % of female labor force ages 15-24 21.4 % Time series [31st of 77]
Unemployment, youth male > % of male labor force ages 15-24 28.2 % Time series [10th of 77]
Unemployment, youth total > % of total labor force ages 15-24 24.9 % Time series [17th of 77]
Workers' remittances and compensation of employees, paid > US$ 7,000,000 $ Time series [93rd of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 1.016 $ per $1,000 of GDP Time series [126th of 166]
    Workers' remittances and compensation of employees, paid > US$ (per capita) 0.603 $ per 1,000 people Time series [134th of 167]
Workers' remittances and compensation of employees, received > US$ 44,000,000 $ Time series [82nd of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 6.385 $ per $1,000 of GDP Time series [89th of 165]
    Workers' remittances and compensation of employees, received > US$ (per capita) 3.79 $ per capita Time series [121st of 167]
Workers' remittances, receipts > BoP, current US$ 2,333,562 BoP $ Time series [50th of 115]
    Workers' remittances, receipts > BoP, current US$ (per $ GDP) 273.26 BoP $ per $1 million of Time series [118th of 142]
    Workers' remittances, receipts > BoP, current US$ (per capita) 295.643 BoP $ per 1,000 people Time series [119th 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: Zimbabwe, Republic of Zimbabwe

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