FACTOID # 3: Ethiopians are by far the most agricultural people on earth (both men and women)
 
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South America > Peru > Labor

PERUVIAN LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
Agricultural workers > Female 3% [56th of 77]
Agricultural workers > Male 8% [50th of 78]
Child employment in agriculture > % of economically active children ages 7-14 77.76 % Time series [1st of 11]
Child employment in agriculture, female > % of female economically active children ages 7-14 76.32 % Time series [1st of 11]
Child employment in agriculture, male > % of male economically active children ages 7-14 78.89 % Time series [1st of 11]
Child employment in manufacturing > % of economically active children ages 7-14 3.52 % Time series [1st of 10]
Child employment in manufacturing, female > % of female economically active children ages 7-14 3.42 % Time series [1st of 10]
Child employment in manufacturing, male > % of male economically active children ages 7-14 3.6 % Time series [1st of 10]
Child employment in services > % of economically active children ages 7-14 18.72 % Time series [1st of 11]
Child employment in services, female > % of female economically active children ages 7-14 20.26 % Time series [1st of 11]
Child employment in services, male > % of male economically active children ages 7-14 17.51 % Time series [1st of 11]
Compensation of employees > % of expense 20.09 % Time series [41st of 97]
Compensation of employees > current LCU 9077300000 Time series
Economic activity > Both sexes aged 10-14 1.8 [83rd of 89]
Economic activity > Both sexes aged 15-19 21.49 [144th of 167]
Economic activity > Both sexes aged 20-24 61.92 [154th of 166]
Economic activity > Both sexes aged 25-29 71.23 [143rd of 167]
Economic activity > Both sexes aged 30-34 71.59 [151st of 165]
Economic activity > Both sexes aged 35-39 68.94 [155th of 166]
Economic activity > Both sexes aged 40-44 66.78 [154th of 167]
Economic activity > Both sexes aged 45-49 65.61 [146th of 163]
Economic activity > Both sexes aged 50-54 62.63 [135th of 166]
Economic activity > Both sexes aged 55-59 58.82 [95th of 166]
Economic activity > Both sexes aged 60-64 53.73 [70th of 166]
Economic activity > Both sexes aged 65 plus 30.78 [68th of 165]
Economic activity > Men aged 10-14 1.2 [86th of 92]
Economic activity > Men aged 15-19 30.86 [122nd of 164]
Economic activity > Men aged 20-24 78.97 [135th of 166]
Economic activity > Men aged 25-29 91.6 [156th of 165]
Economic activity > Men aged 30-34 96.45 [129th of 165]
Economic activity > Men aged 35-39 98.16 [34th of 164]
Economic activity > Men aged 40-44 98.12 [21st of 163]
Economic activity > Men aged 45-49 98.1 [15th of 167]
Economic activity > Men aged 50-54 96.53 [17th of 165]
Economic activity > Men aged 55-59 92.99 [35th of 167]
Economic activity > Men aged 60-64 85.17 [40th of 165]
Economic activity > Men aged 65 plus 53.97 [51st of 162]
Economic activity > Women aged 10-14 2.41 [78th of 89]
Economic activity > Women aged 15-19 11.91 [152nd of 164]
Economic activity > Women aged 20-24 44.73 [145th of 166]
Economic activity > Women aged 25-29 51.3 [133rd of 165]
Economic activity > Women aged 30-34 48.07 [145th of 167]
Economic activity > Women aged 35-39 41.73 [151st of 165]
Economic activity > Women aged 40-44 37.57 [152nd of 165]
Economic activity > Women aged 45-49 34.9 [143rd of 161]
Economic activity > Women aged 50-54 30.29 [145th of 166]
Economic activity > Women aged 55-59 26.41 [124th of 167]
Economic activity > Women aged 60-64 24.44 [90th of 165]
Economic activity > Women aged 65 plus 11.21 [80th of 167]
Economically active children, female 15.2 % Time series [2nd of 34]
Economically active children, male 20.4 % Time series [2nd of 34]
Economically active children, study and work 92.66 % Time series [1st of 34]
Economically active children, study and work, female 92.6 % Time series [1st of 34]
Economically active children, study and work, male 92.7 % Time series [1st of 34]
Economically active children, total 17.7 % Time series [2nd of 34]
Economically active children, work only 7.34 % Time series [2nd of 34]
Economically active children, work only, female 7.4 % Time series [2nd of 33]
Economically active children, work only, male 7.3 % Time series [2nd of 34]
Employees, agriculture, female > % of female employment 0.2 % Time series [54th of 86]
Employees, agriculture, male > % of male employment 1.1 % Time series [54th of 86]
Employees, industry, female > % of female employment 13.4 % Time series [29th of 86]
Employees, industry, male > % of male employment 31.3 % Time series [31st of 86]
Employees, services, female > % of female employment 86.4 % Time series [11th of 86]
Employees, services, male > % of male employment 67.5 % Time series [5th of 86]
Employment in agriculture > % of total employment 0.7 % Time series [58th of 94]
Employment in industry > % of total employment 23.8 % Time series [29th of 94]
Employment in services > % of total employment 75.5 % Time series [10th of 94]
Female decision makers 28% [34th of 67]
Female economic activity 34.5% [143rd of 156]
Female economic activity growth 17% [20th of 156]
Female professionals 39% [61st of 68]
Firing cost > weeks of wages 52 weeks of wages Time series [63rd of 164]
force participation rate, female > % of female population ages 15-64 61.21 % Time series [72nd of 184]
force participation rate, male > % of male population ages 15-64 83.55 % Time series [74th of 184]
force participation rate, total > % of total population ages 15-64 72.44 % Time series [65th of 184]
force with primary education > % of total 20.4 % Time series [21st of 48]
force with secondary education > % of total 47.2 % Time series [17th of 51]
force with tertiary education > % of total 29.3 % Time series [8th of 52]
force, female > % of total labor force 41.99 % Time series [91st of 184]
force, total 13,346,850 Time series [36th of 184]
    force, total (per capita) 0.477 per capita Time series [56th of 184]
Industrial workers > Female 11% [59th of 79]
Industrial workers > Male 25% [63rd of 79]
Labor force 9,839,000 Time series [39th of 132]
    Labor force (per capita) 343,124.093 per million people Time series [97th of 131]
Labor force > By occupation
agriculture 5.9%, mining and quarrying 0.4%, manufacturing 12.6%, construction 5.3%, commerce 26.3%, household work 4.9%, other services 44.6%
Labor force > By occupation > Agriculture 9% Time series [13th of 32]
Labor force > By occupation > Industry 18% Time series [8th of 29]
Labor force > By occupation > Services 73% Time series [2nd of 29]
Minimum Age Convention, 1973 > Ratifications > Date November 13, 2002
Minimum Age Convention, 1973 > Ratifications > Minimum age 14 [116th of 146]
Parental leave > Paid maternity leave 90 days
Regulation 73 [11th of 123]
Regulation > Employment Conditions 81 [48th of 123]
Regulation > Firing 69 [8th of 123]
Regulation > Hiring 71 [21st of 123]
regulations > % of managers surveyed ranking this as a major business constraint 3.96 % Time series [8th of 39]
Right to Organise and Collective Bargaining Convention > Ratifications > Date March 13, 1964
Rigidity of employment index 61 Time series [16th of 166]
Seafarers' Pensions Convention > Ratification Date April 4, 1962
Service workers > Female 86% [15th of 79]
Service workers > Male 67% [5th of 79]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 34.6 % Time series [105th of 174]
skills > % of managers surveyed ranking this as a major business constraint 2.38 % Time series [13th of 38]
Unemployment rate 6.9% Time series [43rd of 107]
Unemployment with secondary education, female > % of female unemployment 57.3 % Time series [12th of 71]
Unemployment with secondary education, male > % of male unemployment 65.2 % Time series [8th of 71]
Unemployment with tertiary education > % of total unemployment 28.6 % Time series [6th of 77]
Unemployment with tertiary education, female > % of female unemployment 31.5 % Time series [6th of 71]
Unemployment with tertiary education, male > % of male unemployment 26 % Time series [5th of 71]
Unemployment, female > % of female labor force 12 % Time series [20th of 95]
Unemployment, male > % of male labor force 9.4 % Time series [25th of 95]
Unemployment, total > % of total labor force 10.5 % Time series [21st of 101]
Unemployment, youth female > % of female labor force ages 15-24 20.7 % Time series [21st of 77]
Unemployment, youth male > % of male labor force ages 15-24 21 % Time series [11th of 77]
Unemployment, youth total > % of total labor force ages 15-24 20.9 % Time series [17th of 77]
Vacation > Minimum vacation time around the world > legally required 14 days
Workers' remittances and compensation of employees, paid > US$ 164,000,000 $ Time series [52nd of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 2.066 $ per $1,000 of GDP Time series [93rd of 166]
    Workers' remittances and compensation of employees, paid > US$ (per capita) 5.864 $ per 1,000 people Time series [97th of 167]
Workers' remittances and compensation of employees, received > US$ 1,440,000,000 $ Time series [42nd of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 18.141 $ per $1,000 of GDP Time series [71st of 165]
    Workers' remittances and compensation of employees, received > US$ (per capita) 51.487 $ per capita Time series [84th of 167]
Workers' remittances, receipts > BoP, current US$ 1,439,909,000 BoP $ Time series [25th of 115]
    Workers' remittances, receipts > BoP, current US$ (per $ GDP) 18.14 BoP $ per $1 million of Time series [45th of 142]
    Workers' remittances, receipts > BoP, current US$ (per capita) 51.484 BoP $ per 1,000 people Time series [42nd of 143]

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; 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; 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 ; Wikipedia: Seafarers' Pensions Convention, 1946 ; Wikipedia: Vacation

ALTERNATIVE NAMES: Peru, Republic of Peru, Republica del Peru

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COMMENTARY     

lalo
16th September 2005 		I would like to know the percent of national goverment body composed by women in Peru.
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