FACTOID # 3: Ethiopians are by far the most agricultural people on earth (both men and women)
 
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Oceania > Australia > Labor

AUSTRALIAN LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
Agricultural workers > Female 3% [51st of 77]
Agricultural workers > Male 6% [54th of 78]
Compensation of employees > % of expense 10.12 % Time series [66th of 97]
Compensation of employees > current LCU 24100000000 Time series
Days off work 61 days [9th of 20]
Economic activity > Both sexes aged 15-19 53.05 [40th of 167]
Economic activity > Both sexes aged 20-24 83.78 [14th of 166]
Economic activity > Both sexes aged 25-29 83.59 [72nd of 167]
Economic activity > Both sexes aged 30-34 85.29 [73rd of 165]
Economic activity > Both sexes aged 35-39 87.1 [69th of 166]
Economic activity > Both sexes aged 40-44 87.46 [65th of 167]
Economic activity > Both sexes aged 50-54 75.3 [88th of 166]
Economic activity > Both sexes aged 55-59 55.28 [114th of 166]
Economic activity > Both sexes aged 60-64 31.17 [128th of 166]
Economic activity > Both sexes aged 65 plus 4.47 [154th of 165]
Economic activity > Men aged 15-19 53.41 [59th of 164]
Economic activity > Men aged 20-24 87.58 [41st of 166]
Economic activity > Men aged 25-29 93.38 [131st of 165]
Economic activity > Men aged 30-34 94.65 [157th of 165]
Economic activity > Men aged 35-39 94.34 [158th of 164]
Economic activity > Men aged 40-44 93.38 [161st of 163]
Economic activity > Men aged 45-49 90.57 [161st of 167]
Economic activity > Men aged 50-54 86.44 [145th of 165]
Economic activity > Men aged 55-59 71.92 [148th of 167]
Economic activity > Men aged 65 plus 7.54 [150th of 162]
Economic activity > Women aged 15-19 52.67 [34th of 164]
Economic activity > Women aged 20-24 79.83 [20th of 166]
Economic activity > Women aged 25-29 73.5 [67th of 165]
Economic activity > Women aged 30-34 75.71 [70th of 167]
Economic activity > Women aged 35-39 79.73 [58th of 165]
Economic activity > Women aged 40-44 81.43 [58th of 165]
Economic activity > Women aged 45-49 73.43 [68th of 161]
Economic activity > Women aged 50-54 63.81 [74th of 166]
Economic activity > Women aged 55-59 38.11 [90th of 167]
Economic activity > Women aged 60-64 17.3 [113rd of 165]
Economic activity > Women aged 65 plus 2.1 [148th of 167]
Employees, agriculture, female > % of female employment 2.5 % Time series [40th of 86]
Employees, agriculture, male > % of male employment 4.6 % Time series [43rd of 86]
Employees, industry, female > % of female employment 9.4 % Time series [47th of 86]
Employees, industry, male > % of male employment 30.6 % Time series [33rd of 86]
Employees, services, female > % of female employment 87.9 % Time series [10th of 86]
Employees, services, male > % of male employment 64.5 % Time series [8th of 86]
Employment in agriculture > % of total employment 3.6 % Time series [44th of 94]
Employment in industry > % of total employment 21.1 % Time series [42nd of 94]
Employment in services > % of total employment 75 % Time series [13th of 94]
employment rate > Source / date of > information 2003 OECD .
Employment rate of highly educated women 79.9% [13th of 18]
Employment rate of lesser educated women 58.1% [8th of 18]
Female decision makers 26% [41st of 67]
Female doctors 27.8% [15th of 18]
Female economic activity 55.8% [71st of 156]
Female economic activity growth 7% [53rd of 156]
Female professionals 48% [43rd of 68]
Firing cost > weeks of wages 4 weeks of wages Time series [160th of 164]
force participation rate, female > % of female population ages 15-64 67.43 % Time series [42nd of 184]
force participation rate, male > % of male population ages 15-64 80.75 % Time series [107th of 184]
force participation rate, total > % of total population ages 15-64 74.06 % Time series [50th of 184]
force with primary education > % of total 35.5 % Time series [10th of 48]
force with secondary education > % of total 35.3 % Time series [29th of 51]
force with tertiary education > % of total 29 % Time series [9th of 52]
force, female > % of total labor force 45.51 % Time series [55th of 184]
force, total 10,342,760 Time series [45th of 184]
    force, total (per capita) 0.509 per capita Time series [28th of 184]
Foreign labor force 24.5 [2nd of 23]
Gender division of housework 2.03 [9th of 13]
Hours worked 1,814 hours [1st of 9]
Industrial workers > Female 10% [62nd of 79]
Industrial workers > Male 31% [43rd of 79]
Labor force 10,950,000 Time series [36th of 132]
    Labor force (per capita) 535,866.971 per million people Time series [22nd of 131]
Labor force > By occupation
agriculture 3.7%, industry 26.4%, services 70%
Labor force > By occupation > Agriculture 3.6% Time series [25th of 32]
Labor force > By occupation > Industry 21.2% Time series [10th of 29]
Labor force > By occupation > Services 75.2% Time series [7th of 29]
Long term unemployment 1.8% [13th of 27]
Long term unemployment > Share 21.5% [22nd of 28]
Long-term unemployment > % of total unemployment 22.5 % Time series [21st of 48]
Long-term unemployment, female > % of female unemployment 17 % Time series [22nd of 46]
Long-term unemployment, male > % of male unemployment 27.1 % Time series [17th of 46]
Parental leave > Paid maternity leave 0 weeks
Parental leave > Unpaid maternity leave 1 year
Regulation 36 [105th of 123]
Regulation > Employment Conditions 61 [86th of 123]
Regulation > Firing 13 [117th of 123]
Regulation > Hiring 33 [80th of 123]
Researchers in labor force 67 per 10000 people [6th of 18]
Right to Organise and Collective Bargaining Convention > Ratifications > Date February 28, 1973
Rigidity of employment index 3 Time series [166th of 166]
Service workers > Female 86% [10th of 79]
Service workers > Male 63% [10th of 79]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 48.6 % Time series [32nd of 174]
Strikes 86 [8th of 27]
Technicians in R&D > per million people 791.9 per million people Time series [3rd of 49]
Total work time > Females 435 minutes [17th of 29]
Total work time > Females over males 104% [22nd of 29]
Total work time > Males 418 minutes [13th of 29]
Trade union membership 25% [12th of 18]
Unemployment 6.6% [7th of 18]
Unemployment and education > Tertiary 3.6% [6th of 18]
Unemployment and education > Upper secondary 4.5% [9th of 18]
Unemployment benefit as % of GDP 1.1 % of GDP [10th of 18]
Unemployment benefit replacement 27 [14th of 20]
Unemployment gender ratio 89% [25th of 30]
Unemployment rate 4.4% Time series [67th of 107]
Unemployment with secondary education, female > % of female unemployment 33.9 % Time series [29th of 71]
Unemployment with secondary education, male > % of male unemployment 31.8 % Time series [28th of 71]
Unemployment with tertiary education > % of total unemployment 19 % Time series [12th of 77]
Unemployment with tertiary education, female > % of female unemployment 20.6 % Time series [14th of 71]
Unemployment with tertiary education, male > % of male unemployment 17.6 % Time series [12th of 71]
Unemployment, female > % of female labor force 5.5 % Time series [57th of 95]
Unemployment, male > % of male labor force 5.3 % Time series [57th of 95]
Unemployment, total > % of total labor force 5.4 % Time series [57th of 101]
Unemployment, youth female > % of female labor force ages 15-24 10 % Time series [44th of 77]
Unemployment, youth male > % of male labor force ages 15-24 11 % Time series [44th of 77]
Unemployment, youth total > % of total labor force ages 15-24 10.5 % Time series [44th of 77]
Vacation > Minimum vacation time around the world > legally required
Not required, but 28 days is standard. Additional Long service leave is also payable.
Work time > Market-oriented 46% [25th of 29]
Work Time > More than 40 hours 48.6% [10th of 18]
Work time > Non-market-oriented 54% [3rd of 29]
Workers' remittances and compensation of employees, paid > US$ 1,358,000,000 $ Time series [23rd of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 1.854 $ per $1,000 of GDP Time series [96th of 166]
    Workers' remittances and compensation of employees, paid > US$ (per capita) 66.801 $ per 1,000 people Time series [44th of 167]
Workers' remittances and compensation of employees, received > US$ 2,858,000,000 $ Time series [27th of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 3.902 $ per $1,000 of GDP Time series [118th of 165]
    Workers' remittances and compensation of employees, received > US$ (per capita) 140.587 $ per capita Time series [43rd of 167]
Working mothers 45 [17th of 23]
Working time to buy a car 1,244 hours [9th of 16]
Working time to buy a refrigerator 60 hours [2nd of 15]
Working time to buy a television set 50 hours [2nd of 15]
Working time to buy beef 30 minutes [15th of 16]
Working time to buy bread 8 minutes [9th of 16]
Working time to buy chicken 27 minutes [5th of 16]
Working time to buy fish 36 minutes [12th of 15]
Working time to buy milk 6 minutes [3rd of 16]
Youth unemployment 12.3% [13th 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 ; OECD Employment Outlook 2002, p.74; calculated on the basis of occupational data from ILO (International Labour Organization). 2002. Laboursta Database. February 2002; OECD Health Data 2002 (CD ROM) available year for Australia, Japan = 1998; Denmark = 1995; 1980 figures for Canada and France are interpolated; 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; Jeanne A. Batalova and Philip N. Cohen, 'Premarital Cohabitation and Housework: Couples in Cross-National Perspective', Journal of Marriage and Family 64, August 2002, p.748; All CIA World Factbooks 18 December 2003 to 18 December 2008; OECD (Organization for Economic Co-operation and Development). 2001. Employment Outlook. Paris; 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; 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; Figures are from the OECD. The figures are from EIRO for France, Ireland and Italy; OECD Historical Statistics; OECD, Employment Outlook 2002 ; Annex to GECD Society at a Glance 2002; World Health Organization; 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 ; ILO, Key Indicators; International Metalworkers' Federation, The Purchasing Power of Working Time 2002: An International Comparison of Average Net Hourly Earnings 2001 (International Metalworkers' Federation, Geneva, 2002);

ALTERNATIVE NAMES: Australia, Commonwealth of Australia

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