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Europe > Lithuania > Labor

LITHUANIAN LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
Agricultural workers > Female 16% [17th of 77]
Agricultural workers > Male 24% [23rd of 78]
Compensation of employees > % of expense 19.76 % Time series [42nd of 97]
Compensation of employees > current LCU 3971600000 Time series
Economic activity > Both sexes aged 15-19 20.64 [149th of 167]
Economic activity > Both sexes aged 20-24 74.17 [75th of 166]
Economic activity > Both sexes aged 25-29 91.57 [19th of 167]
Economic activity > Both sexes aged 30-34 94.34 [13th of 165]
Economic activity > Both sexes aged 35-39 95.34 [11th of 166]
Economic activity > Both sexes aged 40-44 95.2 [10th of 167]
Economic activity > Both sexes aged 45-49 93.58 [14th of 163]
Economic activity > Both sexes aged 50-54 88.19 [16th of 166]
Economic activity > Both sexes aged 55-59 60.79 [88th of 166]
Economic activity > Both sexes aged 60-64 31.52 [126th of 166]
Economic activity > Both sexes aged 65 plus 8.4 [130th of 165]
Economic activity > Men aged 15-19 23.9 [147th of 164]
Economic activity > Men aged 20-24 77.47 [146th of 166]
Economic activity > Men aged 25-29 95.96 [57th of 165]
Economic activity > Men aged 30-34 97.33 [77th of 165]
Economic activity > Men aged 35-39 97.02 [114th of 164]
Economic activity > Men aged 40-44 96.77 [96th of 163]
Economic activity > Men aged 45-49 96.57 [64th of 167]
Economic activity > Men aged 50-54 91.74 [100th of 165]
Economic activity > Men aged 55-59 85.39 [86th of 167]
Economic activity > Men aged 60-64 40.63 [137th of 165]
Economic activity > Men aged 65 plus 12.31 [130th of 162]
Economic activity > Women aged 15-19 17.27 [141st of 164]
Economic activity > Women aged 20-24 70.8 [58th of 166]
Economic activity > Women aged 25-29 87.06 [20th of 165]
Economic activity > Women aged 30-34 91.22 [16th of 167]
Economic activity > Women aged 35-39 93.64 [10th of 165]
Economic activity > Women aged 40-44 93.71 [10th of 165]
Economic activity > Women aged 45-49 90.84 [15th of 161]
Economic activity > Women aged 50-54 85.16 [12th of 166]
Economic activity > Women aged 55-59 41.02 [85th of 167]
Economic activity > Women aged 60-64 24.81 [87th of 165]
Economic activity > Women aged 65 plus 6.35 [101st of 167]
Employees, agriculture, female > % of female employment 11.4 % Time series [16th of 86]
Employees, agriculture, male > % of male employment 16.6 % Time series [20th of 86]
Employees, industry, female > % of female employment 20.8 % Time series [14th of 86]
Employees, industry, male > % of male employment 37 % Time series [16th of 86]
Employees, services, female > % of female employment 67.8 % Time series [40th of 86]
Employees, services, male > % of male employment 46.3 % Time series [44th of 86]
Employment in agriculture > % of total employment 14 % Time series [22nd of 94]
Employment in industry > % of total employment 29.1 % Time series [17th of 94]
Employment in services > % of total employment 56.9 % Time series [41st of 94]
Female decision makers 42% [3rd of 67]
Female economic activity 57.8% [60th of 156]
Female economic activity growth -3% [152nd of 156]
Female professionals 70% [1st of 68]
Firing cost > weeks of wages 30.3 weeks of wages Time series [106th of 164]
force participation rate, female > % of female population ages 15-64 65.87 % Time series [52nd of 184]
force participation rate, male > % of male population ages 15-64 72.35 % Time series [168th of 184]
force participation rate, total > % of total population ages 15-64 69 % Time series [102nd of 184]
force with primary education > % of total 16.6 % Time series [31st of 48]
force with secondary education > % of total 37.5 % Time series [27th of 51]
force with tertiary education > % of total 46 % Time series [3rd of 52]
force, female > % of total labor force 49.17 % Time series [11th of 184]
force, total 1,620,551 Time series [124th of 184]
    force, total (per capita) 0.475 per capita Time series [59th of 184]
Industrial workers > Female 40% [2nd of 79]
Industrial workers > Male 33% [34th of 79]
Labor force 1,603,000 Time series [96th of 132]
    Labor force (per capita) 448,336.554 per million people Time series [65th of 131]
Labor force > By occupation
agriculture 20%, industry 30%, services 50%
Labor force > By occupation > Agriculture 15.8% Time series [18th of 32]
Labor force > By occupation > Industry 28.2% Time series [6th of 29]
Labor force > By occupation > Services 56% Time series [19th of 29]
Long-term unemployment > % of total unemployment 57.8 % Time series [3rd of 48]
Long-term unemployment, female > % of female unemployment 19.2 % Time series [32nd of 46]
Long-term unemployment, male > % of male unemployment 23.4 % Time series [28th of 46]
Minimum Age Convention, 1973 > Ratifications > Date June 22, 1998
Minimum Age Convention, 1973 > Ratifications > Minimum age 16 [30th of 146]
Regulation 64 [23rd of 123]
Regulation > Employment Conditions 90 [13th of 123]
Regulation > Firing 31 [75th of 123]
Regulation > Hiring 71 [23rd of 123]
regulations > % of managers surveyed ranking this as a major business constraint 8.82 % Time series [17th of 39]
Right to Organise and Collective Bargaining Convention > Ratifications > Date September 26, 1994
Rigidity of employment index 48 Time series [51st of 166]
Service workers > Female 63% [61st of 79]
Service workers > Male 43% [62nd of 79]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 52.2 % Time series [8th of 174]
skills > % of managers surveyed ranking this as a major business constraint 15.2 % Time series [9th of 38]
Technicians in R&D > per million people 427.24 per million people Time series [21st of 49]
Unemployment rate 3.5% Time series [78th of 107]
Unemployment with secondary education, female > % of female unemployment 69.5 % Time series [5th of 71]
Unemployment with secondary education, male > % of male unemployment 67.5 % Time series [5th of 71]
Unemployment with tertiary education > % of total unemployment 16.5 % Time series [19th of 77]
Unemployment with tertiary education, female > % of female unemployment 19.3 % Time series [16th of 71]
Unemployment with tertiary education, male > % of male unemployment 13.6 % Time series [16th of 71]
Unemployment, female > % of female labor force 11.8 % Time series [22nd of 95]
Unemployment, male > % of male labor force 11 % Time series [13th of 95]
Unemployment, total > % of total labor force 8.3 % Time series [6th of 101]
Unemployment, youth female > % of female labor force ages 15-24 15.3 % Time series [32nd of 77]
Unemployment, youth male > % of male labor force ages 15-24 15.9 % Time series [29th of 77]
Unemployment, youth total > % of total labor force ages 15-24 15.7 % Time series [31st of 77]
Workers' remittances and compensation of employees, paid > US$ 47,000,000 $ Time series [84th of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 1.834 $ per $1,000 of GDP Time series [97th of 166]
    Workers' remittances and compensation of employees, paid > US$ (per capita) 13.766 $ per 1,000 people Time series [72nd of 167]
Workers' remittances and compensation of employees, received > US$ 534,000,000 $ Time series [73rd of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 20.839 $ per $1,000 of GDP Time series [67th of 165]
    Workers' remittances and compensation of employees, received > US$ (per capita) 156.401 $ per capita Time series [40th of 167]
Workers' remittances, receipts > BoP, current US$ 309,841,900 BoP $ Time series [50th of 115]
    Workers' remittances, receipts > BoP, current US$ (per $ GDP) 12.091 BoP $ per $1 million of Time series [50th of 142]
    Workers' remittances, receipts > BoP, current US$ (per capita) 90.748 BoP $ per 1,000 people Time series [31st 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 ; 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: Lithuania, Republic of Lithuania, Lietuvos Respublika, Lietuva

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