FACTOID # 7: Southern European women hugely outnumber their menfolk amongst the unemployed.
 
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Europe > Hungary > Labor

HUNGARIAN LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
Agricultural workers > Female 4% [47th of 77]
Agricultural workers > Male 9% [48th of 78]
Compensation of employees > % of expense 14.3 % Time series [53rd of 97]
Compensation of employees > current LCU 1340005000000 Time series
Days off work 47 days [12th of 20]
Economic activity > Both sexes aged 15-19 42.33 [66th of 167]
Economic activity > Both sexes aged 20-24 75.27 [66th of 166]
Economic activity > Both sexes aged 25-29 82.67 [81st of 167]
Economic activity > Both sexes aged 30-34 89.9 [44th of 165]
Economic activity > Both sexes aged 35-39 92.12 [33rd of 166]
Economic activity > Both sexes aged 40-44 91.89 [32nd of 167]
Economic activity > Both sexes aged 45-49 87.88 [47th of 163]
Economic activity > Both sexes aged 50-54 75.57 [87th of 166]
Economic activity > Both sexes aged 55-59 29.71 [166th of 166]
Economic activity > Both sexes aged 60-64 2.27 [167th of 166]
Economic activity > Both sexes aged 65 plus 0.46 [166th of 165]
Economic activity > Men aged 15-19 45.87 [79th of 164]
Economic activity > Men aged 20-24 87.14 [44th of 166]
Economic activity > Men aged 25-29 96.54 [37th of 165]
Economic activity > Men aged 30-34 96.77 [112nd of 165]
Economic activity > Men aged 35-39 96.04 [147th of 164]
Economic activity > Men aged 40-44 94.09 [155th of 163]
Economic activity > Men aged 45-49 90.38 [163rd of 167]
Economic activity > Men aged 50-54 79.88 [162nd of 165]
Economic activity > Men aged 55-59 59.14 [160th of 167]
Economic activity > Men aged 60-64 3.3 [166th of 165]
Economic activity > Men aged 65 plus 0.91 [163rd of 162]
Economic activity > Women aged 15-19 38.64 [56th of 164]
Economic activity > Women aged 20-24 62.88 [86th of 166]
Economic activity > Women aged 25-29 68.22 [87th of 165]
Economic activity > Women aged 30-34 82.83 [43rd of 167]
Economic activity > Women aged 35-39 88.19 [34th of 165]
Economic activity > Women aged 40-44 89.75 [25th of 165]
Economic activity > Women aged 45-49 85.51 [30th of 161]
Economic activity > Women aged 50-54 71.63 [54th of 166]
Economic activity > Women aged 55-59 4.78 [168th of 167]
Economic activity > Women aged 60-64 1.51 [166th of 165]
Economic activity > Women aged 65 plus 0.2 [168th of 167]
Employees, agriculture, female > % of female employment 2.7 % Time series [38th of 86]
Employees, agriculture, male > % of male employment 6.9 % Time series [34th of 86]
Employees, industry, female > % of female employment 21.2 % Time series [13th of 86]
Employees, industry, male > % of male employment 41.8 % Time series [5th of 86]
Employees, services, female > % of female employment 76 % Time series [31st of 86]
Employees, services, male > % of male employment 51.2 % Time series [31st of 86]
Employment in agriculture > % of total employment 5 % Time series [37th of 94]
Employment in industry > % of total employment 32.4 % Time series [7th of 94]
Employment in services > % of total employment 62.6 % Time series [34th of 94]
employment rate > Source / date of > information 2003 OECD .
Female decision makers 34% [18th of 67]
Female economic activity 48.5% [93rd of 156]
Female economic activity growth 2% [85th of 156]
Female professionals 61% [11th of 68]
Firing cost > weeks of wages 34.5 weeks of wages Time series [92nd of 164]
force participation rate, female > % of female population ages 15-64 53.5 % Time series [119th of 184]
force participation rate, male > % of male population ages 15-64 66.78 % Time series [177th of 184]
force participation rate, total > % of total population ages 15-64 60.05 % Time series [158th of 184]
force with primary education > % of total 18.2 % Time series [26th of 48]
force with secondary education > % of total 65.2 % Time series [4th of 51]
force with tertiary education > % of total 16.5 % Time series [28th of 52]
force, female > % of total labor force 45.13 % Time series [59th of 184]
force, total 4,207,541 Time series [77th of 184]
    force, total (per capita) 0.417 per capita Time series [122nd of 184]
Foreign labor force 0.7 [21st of 23]
Industrial workers > Female 25% [10th of 79]
Industrial workers > Male 42% [7th of 79]
Labor force 4,190,000 Time series [66th of 132]
    Labor force (per capita) 420,847.182 per million people Time series [76th of 131]
Labor force > By occupation
agriculture 6.2%, industry 27.1%, services 66.7%
Labor force > By occupation > Agriculture 5.5% Time series [19th of 32]
Labor force > By occupation > Industry 33.3% Time series [4th of 29]
Labor force > By occupation > Services 61.2% Time series [8th of 29]
Long term unemployment 3.1% [11th of 27]
Long term unemployment > Share 46.7% [8th of 28]
Long-term unemployment > % of total unemployment 42.2 % Time series [10th of 48]
Long-term unemployment, female > % of female unemployment 42.2 % Time series [11th of 46]
Long-term unemployment, male > % of male unemployment 42.2 % Time series [10th of 46]
Minimum Age Convention, 1973 > Ratifications > Date May 28, 1998
Minimum Age Convention, 1973 > Ratifications > Minimum age 16 [11th of 146]
Parental leave > Paid maternity leave 24 weeks
Parental leave > Paid paternity leave Five days
Regulation 54 [62nd of 123]
Regulation > Employment Conditions 92 [6th of 123]
Regulation > Firing 23 [98th of 123]
Regulation > Hiring 46 [71st of 123]
regulations > % of managers surveyed ranking this as a major business constraint 9.68 % Time series [13th of 39]
Right to Organise and Collective Bargaining Convention > Ratifications > Date June 6, 1957
Rigidity of employment index 34 Time series [89th of 166]
Service workers > Female 71% [46th of 79]
Service workers > Male 48% [49th of 79]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 47 % Time series [45th of 174]
skills > % of managers surveyed ranking this as a major business constraint 13.55 % Time series [13th of 38]
Strikes 25 [15th of 27]
Technicians in R&D > per million people 465.52 per million people Time series [2nd of 49]
Temporary employment share 6.9% [20th of 26]
Total work time > Females 432 minutes [18th of 29]
Total work time > Females over males 97% [30th of 29]
Total work time > Males 445 minutes [9th of 29]
Unemployment gender ratio 81% [28th of 30]
Unemployment rate 7.3% Time series [36th of 107]
Unemployment with secondary education, female > % of female unemployment 60.3 % Time series [13th of 71]
Unemployment with secondary education, male > % of male unemployment 61.9 % Time series [11th of 71]
Unemployment with tertiary education > % of total unemployment 5.4 % Time series [59th of 77]
Unemployment with tertiary education, female > % of female unemployment 7 % Time series [53rd of 71]
Unemployment with tertiary education, male > % of male unemployment 4.1 % Time series [54th of 71]
Unemployment, female > % of female labor force 6.1 % Time series [55th of 95]
Unemployment, male > % of male labor force 6.1 % Time series [49th of 95]
Unemployment, total > % of total labor force 6.1 % Time series [53rd of 101]
Unemployment, youth female > % of female labor force ages 15-24 19.1 % Time series [26th of 77]
Unemployment, youth male > % of male labor force ages 15-24 19.7 % Time series [17th of 77]
Unemployment, youth total > % of total labor force ages 15-24 19.4 % Time series [21st of 77]
Vacation > Minimum vacation time around the world > legally required 20 working days
Work time > Market-oriented 51% [16th of 29]
Work time > Non-market-oriented 49% [13th of 29]
Workers' remittances and compensation of employees, paid > US$ 155,000,000 $ Time series [53rd of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 1.419 $ per $1,000 of GDP Time series [108th of 166]
    Workers' remittances and compensation of employees, paid > US$ (per capita) 15.366 $ per 1,000 people Time series [70th of 167]
Workers' remittances and compensation of employees, received > US$ 300,000,000 $ Time series [87th of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 2.746 $ per $1,000 of GDP Time series [126th of 165]
    Workers' remittances and compensation of employees, received > US$ (per capita) 29.741 $ per capita Time series [99th of 167]
Workers' remittances, receipts > BoP, current US$ 20,416,120 BoP $ Time series [77th of 115]
    Workers' remittances, receipts > BoP, current US$ (per $ GDP) 0.187 BoP $ per $1 million of Time series [84th of 142]
    Workers' remittances, receipts > BoP, current US$ (per capita) 2.024 BoP $ per 1,000 people Time series [86th of 143]
Working mothers 33 [22nd of 23]
Youth unemployment 12.1% [14th 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; OECD; All CIA World Factbooks 18 December 2003 to 18 December 2008; OECD (Organization for Economic Co-operation and Development). 2001. Employment Outlook. Paris; 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 ; Harvey, Andrew S. 1995 ?Market and Non-Market Productive Activity in Less Developed and Developing Countries: Lessons from Time Use.? Background Paper for Human Development Report 1995. United Nations Development Programme, Human Development Report, Goldshmidt-Clermont, Luisella, and Elisabetta Pagnossin Aligisakis. 1995. ?Measures of Unrecorded Economic Activities in Fourteen Countries.? Background paper for Human Development Report; 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: Hungary, Republic of Hungary, Magyar Koztarsasag, Magyarorszag

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