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North America > Mexico > Labor

Agricultural workers > Female 7% [35th of 77]
Agricultural workers > Male 23% [24th of 78]
Child employment in agriculture > % of economically active children ages 7-14 53.84 % Time series [1st of 11]
Child employment in agriculture, female > % of female economically active children ages 7-14 38.33 % Time series [1st of 11]
Child employment in manufacturing > % of economically active children ages 7-14 11.86 % Time series [1st of 10]
Compensation of employees > % of expense 17.09 % Time series [47th of 97]
Compensation of employees > current LCU 145061000000 Time series
Days off work 16 days [15th of 20]
Economic activity > Both sexes aged 10-14 4.88 [72nd of 89]
Economic activity > Both sexes aged 15-19 41.97 [68th of 167]
Economic activity > Both sexes aged 20-24 65.58 [140th of 166]
Economic activity > Both sexes aged 25-29 69.76 [152nd of 167]
Economic activity > Both sexes aged 30-34 71.89 [150th of 165]
Economic activity > Both sexes aged 35-39 72.85 [142nd of 166]
Economic activity > Both sexes aged 40-44 69.91 [147th of 167]
Economic activity > Both sexes aged 45-49 67.67 [141st of 163]
Economic activity > Both sexes aged 50-54 61.19 [142nd of 166]
Economic activity > Both sexes aged 55-59 57.48 [99th of 166]
Economic activity > Both sexes aged 60-64 48.66 [82nd of 166]
Economic activity > Both sexes aged 65 plus 29.79 [71st of 165]
Economic activity > Men aged 10-14 6.21 [71st of 92]
Economic activity > Men aged 15-19 52.02 [64th of 164]
Economic activity > Men aged 20-24 84.17 [74th of 166]
Economic activity > Men aged 25-29 94.6 [112nd of 165]
Economic activity > Men aged 30-34 97.3 [78th of 165]
Economic activity > Men aged 35-39 97.41 [93rd of 164]
Economic activity > Men aged 40-44 96.89 [93rd of 163]
Economic activity > Men aged 45-49 95.57 [93rd of 167]
Economic activity > Men aged 50-54 92.58 [90th of 165]
Economic activity > Men aged 55-59 87.93 [76th of 167]
Economic activity > Men aged 60-64 79.26 [55th of 165]
Economic activity > Men aged 65 plus 51.08 [55th of 162]
Economic activity > Women aged 10-14 3.49 [72nd of 89]
Economic activity > Women aged 15-19 31.71 [78th of 164]
Economic activity > Women aged 20-24 47.18 [136th of 166]
Economic activity > Women aged 25-29 45.7 [143rd of 165]
Economic activity > Women aged 30-34 47.95 [146th of 167]
Economic activity > Women aged 35-39 49.87 [136th of 165]
Economic activity > Women aged 40-44 44.83 [140th of 165]
Economic activity > Women aged 45-49 41.73 [131st of 161]
Economic activity > Women aged 50-54 31.91 [144th of 166]
Economic activity > Women aged 55-59 29.36 [116th of 167]
Economic activity > Women aged 60-64 20.91 [102nd of 165]
Economic activity > Women aged 65 plus 12.35 [76th of 167]
Economically active children, female 9.5 % Time series [2nd of 34]
Economically active children, male 20 % Time series [2nd of 34]
Economically active children, study and work 54.4 % Time series [2nd of 34]
Economically active children, study and work, female 55.8 % Time series [2nd of 34]
Economically active children, study and work, male 54 % Time series [2nd of 34]
Economically active children, total 14.7 % Time series [2nd of 34]
Economically active children, work only 45.6 % Time series [1st of 34]
Economically active children, work only, female 44.2 % Time series [1st of 33]
Economically active children, work only, male 46 % Time series [1st of 34]
employment rate > Source / date of > information 2003 OECD .
Female decision makers 24% [50th of 67]
Female economic activity 39.4% [124th of 156]
Female economic activity growth 16% [24th of 156]
Female professionals 41% [58th of 68]
Firing cost > weeks of wages 74.3 weeks of wages Time series [40th of 164]
force participation rate, female > % of female population ages 15-64 42.62 % Time series [153rd of 184]
force participation rate, male > % of male population ages 15-64 82.98 % Time series [83rd of 184]
force participation rate, total > % of total population ages 15-64 62.1 % Time series [148th of 184]
force with primary education > % of total 60.6 % Time series [2nd of 48]
force with secondary education > % of total 15.7 % Time series [37th of 51]
force with tertiary education > % of total 15.4 % Time series [30th of 52]
force, female > % of total labor force 35.17 % Time series [147th of 184]
force, total 42,262,110 Time series [12th of 184]
Industrial workers > Female 22% [19th of 79]
Industrial workers > Male 29% [53rd of 79]
Labor force > By occupation
agriculture 18%, industry 24%, services 58%
Long term unemployment > Share 1.1% [28th of 28]
Long-term unemployment > % of total unemployment 1 % Time series [28th of 48]
Long-term unemployment, female > % of female unemployment 0.8 % Time series [28th of 46]
Long-term unemployment, male > % of male unemployment 1.1 % Time series [28th of 46]
Parental leave > Paid maternity leave 12 weeks
Regulation 77 [6th of 123]
Regulation > Employment Conditions 81 [50th of 123]
Regulation > Firing 70 [6th of 123]
Regulation > Hiring 81 [3rd of 123]
regulations > % of managers surveyed ranking this as a major business constraint 1.07 % Time series [13th of 39]
Rigidity of employment index 38 Time series [80th of 166]
Service workers > Female 71% [49th of 79]
Service workers > Male 47% [53rd of 79]
skills > % of managers surveyed ranking this as a major business constraint 3.11 % Time series [11th of 38]
Strikes 22 [17th of 27]
Technicians in R&D > per million people 95.98 per million people Time series [33rd of 49]
Temporary employment share 20.5% [3rd of 26]
Unemployment gender ratio 117% [14th of 30]
Unemployment with secondary education, female > % of female unemployment 27.8 % Time series [49th of 71]
Unemployment with secondary education, male > % of male unemployment 31.4 % Time series [45th of 71]
Unemployment with tertiary education > % of total unemployment 46.4 % Time series [4th of 77]
Unemployment with tertiary education, female > % of female unemployment 53 % Time series [2nd of 71]
Unemployment with tertiary education, male > % of male unemployment 42.6 % Time series [3rd of 71]
Unemployment, female > % of female labor force 3.4 % Time series [70th of 95]
Unemployment, male > % of male labor force 2.9 % Time series [72nd of 95]
Unemployment, total > % of total labor force 3 % Time series [74th of 101]
Unemployment, youth female > % of female labor force ages 15-24 7.4 % Time series [53rd of 77]
Unemployment, youth male > % of male labor force ages 15-24 6.1 % Time series [54th of 77]
Unemployment, youth total > % of total labor force ages 15-24 6.6 % Time series [56th of 77]
Vacation > Minimum vacation time around the world > legally required 7 days
Workers' remittances and compensation of employees, paid > US$ 7,000,000 $ Time series [77th of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 0.04 $ per $1,000 of GDP Time series [163rd of 166]
Workers' remittances and compensation of employees, received > US$ 21,772,000,000 $ Time series [3rd of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 28.333 $ per $1,000 of GDP Time series [62nd of 165]
Workers' remittances, receipts > BoP, current US$ 20,034,900,000 BoP $ Time series [1st of 115]
    Workers' remittances, receipts > BoP, current US$ (per $ GDP) 26.072 BoP $ per $1 million of Time series [40th of 142]
Youth unemployment 4.4% [30th of 30]

SOURCES: ILO (International Labour Organization). 2002. Key Indicators of the Labour Market 2001-2002. February 2002; World Development Indicators database; OECD; 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; Wikipedia: List of countries by employment rate ; 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: 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; OECD; calculated on the basis of data on male and female unemployment rates from OECD (Organisation for Economic Co-operation and Development). 2001. Employment Outlook 2001. Paris; Wikipedia: Vacation ;

ALTERNATIVE NAMES: Mexico, ma*a(c)xico, United Mexican States, Estados Unidos Mexicanos

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21st October 2009 		this website is awsome!!!
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