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Southeast Asia > Thailand > Labor

THAI LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
Agricultural workers > Female 47% [7th of 77]
Agricultural workers > Male 50% [4th of 78]
Compensation of employees > % of expense 34.89 % Time series [16th of 97]
Compensation of employees > current LCU 403271300000 Time series
Economic activity > Both sexes aged 10-14 12.21 [60th of 89]
Economic activity > Both sexes aged 15-19 62.28 [18th of 167]
Economic activity > Both sexes aged 20-24 83.51 [16th of 166]
Economic activity > Both sexes aged 25-29 89.9 [27th of 167]
Economic activity > Both sexes aged 30-34 91.67 [32nd of 165]
Economic activity > Both sexes aged 35-39 92.3 [31st of 166]
Economic activity > Both sexes aged 40-44 91.63 [33rd of 167]
Economic activity > Both sexes aged 45-49 90.58 [34th of 163]
Economic activity > Both sexes aged 50-54 86.97 [25th of 166]
Economic activity > Both sexes aged 55-59 78.01 [28th of 166]
Economic activity > Both sexes aged 60-64 56.39 [59th of 166]
Economic activity > Both sexes aged 65 plus 26.07 [78th of 165]
Economic activity > Men aged 10-14 11.76 [62nd of 92]
Economic activity > Men aged 15-19 62.98 [25th of 164]
Economic activity > Men aged 20-24 87.39 [43rd of 166]
Economic activity > Men aged 25-29 96.44 [40th of 165]
Economic activity > Men aged 30-34 97.82 [39th of 165]
Economic activity > Men aged 35-39 98.28 [25th of 164]
Economic activity > Men aged 40-44 97.71 [34th of 163]
Economic activity > Men aged 45-49 97.16 [42nd of 167]
Economic activity > Men aged 50-54 95.26 [40th of 165]
Economic activity > Men aged 55-59 91.35 [53rd of 167]
Economic activity > Men aged 60-64 68.57 [86th of 165]
Economic activity > Men aged 65 plus 37.47 [77th of 162]
Economic activity > Women aged 10-14 12.68 [52nd of 89]
Economic activity > Women aged 15-19 61.56 [17th of 164]
Economic activity > Women aged 20-24 79.52 [21st of 166]
Economic activity > Women aged 25-29 83.14 [37th of 165]
Economic activity > Women aged 30-34 85.34 [36th of 167]
Economic activity > Women aged 35-39 86.23 [37th of 165]
Economic activity > Women aged 40-44 85.67 [38th of 165]
Economic activity > Women aged 45-49 84.25 [35th of 161]
Economic activity > Women aged 50-54 78.95 [31st of 166]
Economic activity > Women aged 55-59 65.44 [30th of 167]
Economic activity > Women aged 60-64 45.68 [42nd of 165]
Economic activity > Women aged 65 plus 17.34 [61st of 167]
Employees, agriculture, female > % of female employment 40.7 % Time series [5th of 86]
Employees, agriculture, male > % of male employment 44.2 % Time series [4th of 86]
Employees, industry, female > % of female employment 18.7 % Time series [17th of 86]
Employees, industry, male > % of male employment 21.6 % Time series [50th of 86]
Employees, services, female > % of female employment 40.5 % Time series [52nd of 86]
Employees, services, male > % of male employment 34.1 % Time series [55th of 86]
Employment in agriculture > % of total employment 42.6 % Time series [5th of 94]
Employment in industry > % of total employment 20.2 % Time series [48th of 94]
Employment in services > % of total employment 37.1 % Time series [58th of 94]
Female decision makers 27% [38th of 67]
Female economic activity 73.3% [17th of 156]
Female economic activity growth -2% [131st of 156]
Female professionals 55% [15th of 68]
Firing cost > weeks of wages 54.3 weeks of wages Time series [59th of 164]
force participation rate, female > % of female population ages 15-64 71.02 % Time series [31st of 184]
force participation rate, male > % of male population ages 15-64 84.51 % Time series [60th of 184]
force participation rate, total > % of total population ages 15-64 77.65 % Time series [32nd of 184]
force with primary education > % of total 83.4 % Time series [1st of 48]
force with secondary education > % of total 2.3 % Time series [12th of 51]
force with tertiary education > % of total 8.1 % Time series [5th of 52]
force, female > % of total labor force 46.16 % Time series [47th of 184]
force, total 35,724,940 Time series [15th of 184]
    force, total (per capita) 0.556 per capita Time series [8th of 184]
Industrial workers > Female 17% [29th of 79]
Industrial workers > Male 20% [74th of 79]
Labor force 36,900,000 Time series [14th of 132]
    Labor force (per capita) 567,097.736 per million people Time series [14th of 131]
Labor force > By occupation
agriculture 49%, industry 14%, services 37%
Labor force > By occupation > Agriculture 49% Time series [10th of 32]
Labor force > By occupation > Industry 14% Time series [13th of 29]
Labor force > By occupation > Services 37% Time series [11th of 29]
Minimum Age Convention, 1973 > Ratifications > Date May 11, 2004
Minimum Age Convention, 1973 > Ratifications > Minimum age 15 [72nd of 146]
Parental leave > Paid maternity leave 90 days
Regulation 61 [30th of 123]
Regulation > Employment Conditions 73 [67th of 123]
Regulation > Firing 30 [78th of 123]
Regulation > Hiring 78 [6th of 123]
regulations > % of managers surveyed ranking this as a major business constraint 11.41 % Time series [6th of 39]
Rigidity of employment index 18 Time series [141st of 166]
Service workers > Female 36% [74th of 79]
Service workers > Male 31% [77th of 79]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 46.4 % Time series [54th of 174]
skills > % of managers surveyed ranking this as a major business constraint 29.96 % Time series [2nd of 38]
Technicians in R&D > per million people 208.08 per million people Time series [30th of 49]
Unemployment rate 1.4% Time series [90th of 107]
Unemployment with secondary education, female > % of female unemployment 51.6 % Time series [17th of 71]
Unemployment with secondary education, male > % of male unemployment 44.2 % Time series [23rd of 71]
Unemployment with tertiary education > % of total unemployment 0.2 % Time series [36th of 77]
Unemployment with tertiary education, female > % of female unemployment 21.6 % Time series [19th of 71]
Unemployment with tertiary education, male > % of male unemployment 0.3 % Time series [33rd of 71]
Unemployment, female > % of female labor force 1.4 % Time series [74th of 95]
Unemployment, male > % of male labor force 1.6 % Time series [74th of 95]
Unemployment, total > % of total labor force 1.5 % Time series [77th of 101]
Unemployment, youth female > % of female labor force ages 15-24 4.6 % Time series [58th of 77]
Unemployment, youth male > % of male labor force ages 15-24 4.9 % Time series [56th of 77]
Unemployment, youth total > % of total labor force ages 15-24 4.8 % Time series [58th of 77]
Workers' remittances and compensation of employees, paid > US$ 53,000,000 $ Time series [44th of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 0.54 $ per $1,000 of GDP Time series [130th of 166]
    Workers' remittances and compensation of employees, paid > US$ (per capita) 0.956 $ per 1,000 people Time series [121st of 167]
Workers' remittances and compensation of employees, received > US$ 1,187,000,000 $ Time series [51st of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 6.72 $ per $1,000 of GDP Time series [102nd of 165]
    Workers' remittances and compensation of employees, received > US$ (per capita) 18.48 $ per capita Time series [110th of 167]
Workers' remittances, receipts > BoP, current US$ 23,774,390 BoP $ Time series [22nd of 115]
    Workers' remittances, receipts > BoP, current US$ (per $ GDP) 1,399.705 BoP $ per $1 million of Time series [101st of 142]
    Workers' remittances, receipts > BoP, current US$ (per capita) 561.794 BoP $ per 1,000 people Time series [115th 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

ALTERNATIVE NAMES: Thailand, Kingdom of Thailand

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