FACTOID # 10: In Switzerland, the average person has to work for 102 minutes to buy a kilogram of beef - one of the longest times in the developed world. On the other hand, they only have work 14 hours to buy a refrigerator for it.
 
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Central America and the Caribbean > El Salvador > Labor

Agricultural workers > Female 6% [38th of 77]
Agricultural workers > Male 37% [12th of 78]
Child employment in agriculture > % of economically active children ages 7-14 51.03 % Time series [4th of 11]
Child employment in agriculture, female > % of female economically active children ages 7-14 17.61 % Time series [4th of 11]
Child employment in manufacturing > % of economically active children ages 7-14 12.5 % Time series [2nd of 10]
Compensation of employees > % of expense 39.25 % Time series [12th of 97]
Compensation of employees > current LCU 1181200000 Time series
Economic activity > Both sexes aged 10-14 13.71 [55th of 89]
Economic activity > Both sexes aged 15-19 42.23 [67th of 167]
Economic activity > Both sexes aged 20-24 72.51 [90th of 166]
Economic activity > Both sexes aged 25-29 77.34 [111st of 167]
Economic activity > Both sexes aged 30-34 76.07 [128th of 165]
Economic activity > Both sexes aged 35-39 76.23 [127th of 166]
Economic activity > Both sexes aged 40-44 73.67 [130th of 167]
Economic activity > Both sexes aged 45-49 70.9 [125th of 163]
Economic activity > Both sexes aged 50-54 68.04 [114th of 166]
Economic activity > Both sexes aged 55-59 60.46 [89th of 166]
Economic activity > Both sexes aged 60-64 53.1 [74th of 166]
Economic activity > Both sexes aged 65 plus 32.09 [66th of 165]
Economic activity > Men aged 10-14 21.5 [43rd of 92]
Economic activity > Men aged 15-19 59.48 [41st of 164]
Economic activity > Men aged 20-24 86.46 [56th of 166]
Economic activity > Men aged 25-29 96.29 [45th of 165]
Economic activity > Men aged 30-34 97.23 [85th of 165]
Economic activity > Men aged 35-39 97.97 [47th of 164]
Economic activity > Men aged 40-44 97.53 [45th of 163]
Economic activity > Men aged 45-49 97.14 [44th of 167]
Economic activity > Men aged 50-54 96.03 [29th of 165]
Economic activity > Men aged 55-59 90.79 [57th of 167]
Economic activity > Men aged 60-64 81.77 [49th of 165]
Economic activity > Men aged 65 plus 50.8 [56th of 162]
Economic activity > Women aged 10-14 5.61 [65th of 89]
Economic activity > Women aged 15-19 24.24 [112nd of 164]
Economic activity > Women aged 20-24 58.19 [111st of 166]
Economic activity > Women aged 25-29 58.88 [110th of 165]
Economic activity > Women aged 30-34 56.6 [118th of 167]
Economic activity > Women aged 35-39 58.35 [115th of 165]
Economic activity > Women aged 40-44 54.4 [118th of 165]
Economic activity > Women aged 45-49 49.6 [116th of 161]
Economic activity > Women aged 50-54 44.5 [114th of 166]
Economic activity > Women aged 55-59 34.42 [95th of 167]
Economic activity > Women aged 60-64 28.62 [76th of 165]
Economic activity > Women aged 65 plus 16.62 [63rd of 167]
Economically active children, female 8.11 % Time series [3rd of 34]
Economically active children, male 17.06 % Time series [2nd of 34]
Economically active children, study and work 80.52 % Time series [5th of 34]
Economically active children, study and work, female 91.38 % Time series [3rd of 34]
Economically active children, study and work, male 75.53 % Time series [5th of 34]
Economically active children, total 12.66 % Time series [3rd of 34]
Economically active children, work only 19.48 % Time series [2nd of 34]
Economically active children, work only, female 8.62 % Time series [4th of 33]
Economically active children, work only, male 24.47 % Time series [2nd of 34]
Female decision makers 33% [20th of 67]
Female economic activity 45.8% [105th of 156]
Female economic activity growth 23% [10th of 156]
Female professionals 47% [44th of 68]
Firing cost > weeks of wages 85.7 weeks of wages Time series [34th of 164]
force participation rate, female > % of female population ages 15-64 50.4 % Time series [129th of 184]
force participation rate, male > % of male population ages 15-64 78.66 % Time series [122nd of 184]
force participation rate, total > % of total population ages 15-64 64.14 % Time series [138th of 184]
force with primary education > % of total 42 % Time series [15th of 48]
force with secondary education > % of total 15.1 % Time series [46th of 51]
force with tertiary education > % of total 23.8 % Time series [16th of 52]
force, female > % of total labor force 40.24 % Time series [111st of 184]
force, total 2,771,291 Time series [96th of 184]
Industrial workers > Female 25% [9th of 79]
Industrial workers > Male 24% [64th of 79]
Labor force > By occupation
agriculture 17.1%, industry 17.1%, services 65.8%
Long-term unemployment > % of total unemployment 7.3 % Time series [42nd of 48]
Long-term unemployment, female > % of female unemployment 8.8 % Time series [40th of 46]
Long-term unemployment, male > % of male unemployment 6.5 % Time series [41st of 46]
Minimum Age Convention, 1973 > Ratifications > Date January 23, 1996
Minimum Age Convention, 1973 > Ratifications > Minimum age 14 [122nd of 146]
Parental leave > Paid maternity leave 12 weeks
Regulation 69 [13th of 123]
Regulation > Employment Conditions 75 [66th of 123]
Regulation > Firing 52 [26th of 123]
Regulation > Hiring 81 [2nd of 123]
regulations > % of managers surveyed ranking this as a major business constraint 3.87 % Time series [17th of 39]
Rigidity of employment index 24 Time series [123rd of 166]
Service workers > Female 69% [53rd of 79]
Service workers > Male 38% [71st of 79]
skills > % of managers surveyed ranking this as a major business constraint 20 % Time series [12th of 38]
Technicians in R&D > per million people 303.47 per million people Time series [6th of 49]
Unemployment with secondary education, female > % of female unemployment 36 % Time series [43rd of 71]
Unemployment with secondary education, male > % of male unemployment 17.6 % Time series [59th of 71]
Unemployment with tertiary education > % of total unemployment 7.5 % Time series [53rd of 77]
Unemployment with tertiary education, female > % of female unemployment 12.7 % Time series [37th of 71]
Unemployment with tertiary education, male > % of male unemployment 5.1 % Time series [52nd of 71]
Unemployment, female > % of female labor force 3.9 % Time series [67th of 95]
Unemployment, male > % of male labor force 8.7 % Time series [31st of 95]
Unemployment, total > % of total labor force 6.8 % Time series [48th of 101]
Unemployment, youth female > % of female labor force ages 15-24 9.4 % Time series [56th of 77]
Unemployment, youth male > % of male labor force ages 15-24 12.7 % Time series [46th of 77]
Unemployment, youth total > % of total labor force ages 15-24 11.5 % Time series [51st of 77]
Workers' remittances and compensation of employees, paid > US$ 24,000,000 $ Time series [104th of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 1.414 $ per $1,000 of GDP Time series [109th of 166]
Workers' remittances and compensation of employees, received > US$ 2,842,000,000 $ Time series [28th of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 167.433 $ per $1,000 of GDP Time series [14th of 165]
Workers' remittances, receipts > BoP, current US$ 2,830,200,000 BoP $ Time series [15th of 115]
    Workers' remittances, receipts > BoP, current US$ (per $ GDP) 166.737 BoP $ per $1 million of Time series [8th of 142]

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

ALTERNATIVE NAMES: El Salvador, Republic of El Salvador, Republica de El Salvador

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