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North America > United States > Labor

AMERICAN LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
Agricultural workers > Female 1% [70th of 77]
Agricultural workers > Male 4% [68th of 78]
Compensation of employees > % of expense 12.96 % Time series [55th of 97]
Compensation of employees > current LCU 341229000000 Time series
Days off work 163 days [4th of 20]
Economic activity > Both sexes aged 15-19 38.86 [81st of 167]
Economic activity > Both sexes aged 20-24 75.54 [63rd of 166]
Economic activity > Both sexes aged 25-29 85.46 [56th of 167]
Economic activity > Both sexes aged 30-34 86.54 [69th of 165]
Economic activity > Both sexes aged 35-39 87.29 [68th of 166]
Economic activity > Both sexes aged 40-44 87.2 [67th of 167]
Economic activity > Both sexes aged 45-49 86.12 [58th of 163]
Economic activity > Both sexes aged 50-54 80.24 [63rd of 166]
Economic activity > Both sexes aged 55-59 67.56 [65th of 166]
Economic activity > Both sexes aged 60-64 41.42 [101st of 166]
Economic activity > Both sexes aged 65 plus 9.92 [125th of 165]
Economic activity > Men aged 15-19 40.19 [98th of 164]
Economic activity > Men aged 20-24 78.54 [139th of 166]
Economic activity > Men aged 25-29 90.93 [159th of 165]
Economic activity > Men aged 30-34 93.16 [164th of 165]
Economic activity > Men aged 35-39 93.35 [163rd of 164]
Economic activity > Men aged 40-44 92.17 [163rd of 163]
Economic activity > Men aged 45-49 92.2 [156th of 167]
Economic activity > Men aged 50-54 88.58 [138th of 165]
Economic activity > Men aged 55-59 76.57 [137th of 167]
Economic activity > Men aged 60-64 50.34 [121st of 165]
Economic activity > Men aged 65 plus 13.49 [128th of 162]
Economic activity > Women aged 15-19 37.46 [59th of 164]
Economic activity > Women aged 20-24 72.42 [52nd of 166]
Economic activity > Women aged 25-29 79.87 [49th of 165]
Economic activity > Women aged 30-34 79.8 [57th of 167]
Economic activity > Women aged 35-39 81.1 [54th of 165]
Economic activity > Women aged 40-44 82.15 [52nd of 165]
Economic activity > Women aged 45-49 80.06 [48th of 161]
Economic activity > Women aged 50-54 72.09 [50th of 166]
Economic activity > Women aged 55-59 58.96 [44th of 167]
Economic activity > Women aged 60-64 33.2 [67th of 165]
Economic activity > Women aged 65 plus 7.41 [95th of 167]
Employees, agriculture, female > % of female employment 0.8 % Time series [49th of 86]
Employees, agriculture, male > % of male employment 2.2 % Time series [51st of 86]
Employees, industry, female > % of female employment 9.6 % Time series [46th of 86]
Employees, industry, male > % of male employment 30.2 % Time series [34th of 86]
Employees, services, female > % of female employment 89.6 % Time series [4th of 86]
Employees, services, male > % of male employment 67.6 % Time series [4th of 86]
Employment in agriculture > % of total employment 1.6 % Time series [54th of 94]
Employment in industry > % of total employment 20.6 % Time series [47th of 94]
Employment in services > % of total employment 77.8 % Time series [5th of 94]
employment rate > Source / date of > information 2003 OECD .
Employment rate of highly educated women 81.9% [12th of 18]
Employment rate of lesser educated women 49.7% [14th of 18]
Female decision makers 45% [1st of 67]
Female doctors 23.1% [17th of 18]
Female economic activity 58.8% [58th of 156]
Female economic activity growth 6% [60th of 156]
Female professionals 54% [19th of 68]
force participation rate, female > % of female population ages 15-64 70.07 % Time series [34th of 184]
force participation rate, male > % of male population ages 15-64 81.46 % Time series [101st of 184]
force participation rate, total > % of total population ages 15-64 75.75 % Time series [40th of 184]
force with primary education > % of total 17.1 % Time series [18th of 48]
force with secondary education > % of total 39.5 % Time series [7th of 51]
force with tertiary education > % of total 43.3 % Time series [1st of 52]
force, female > % of total labor force 46.23 % Time series [44th of 184]
force, total 155,462,400 Time series [3rd of 184]
    force, total (per capita) 0.524 per capita Time series [21st of 184]
Foreign labor force 12.4 [5th of 23]
Gender division of housework 2.26 [1st of 13]
Hours worked 1,792 hours [3rd of 9]
Industrial workers > Female 12% [49th of 79]
Industrial workers > Male 32% [38th of 79]
Labor force 153,100,000 Time series [3rd of 132]
    Labor force (per capita) 508,401.497 per million people Time series [38th of 131]
Labor force > By occupation
farming, forestry, and fishing 0.7%, manufacturing, extraction, transportation, and crafts 22.9%, managerial, professional, and technical 34.9%, sales and office 25%, other services 16.5%; note: figures exclude the unemployed
Long term unemployment 0.2% [26th of 27]
Long term unemployment > Share 6.1% [26th of 28]
Long-term unemployment > % of total unemployment 11.8 % Time series [25th of 48]
Long-term unemployment, female > % of female unemployment 11 % Time series [25th of 46]
Long-term unemployment, male > % of male unemployment 12.5 % Time series [25th of 46]
Parental leave > Paid maternity leave 0 weeks
Parental leave > Paid paternity leave 0 weeks
Parental leave > Restrictions
To be covered under :
Must work for a covered employer (all public agencies; private companies with 50 or more employees within 75 miles.)
Must have worked for covered employer for at least 12 months prior, and at least 1250 hours in previous 12 months. Other restrictions apply.
Parental leave > Unpaid maternity leave 12 weeks
Parental leave > Unpaid paternity leave 12 weeks
Regulation 22 [122nd of 123]
Regulation > Employment Conditions 29 [119th of 123]
Regulation > Firing 5 [120th of 123]
Regulation > Hiring 33 [85th of 123]
Researchers in labor force 81 per 10000 people [4th of 18]
Service workers > Female 86% [12th of 79]
Service workers > Male 64% [8th of 79]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 48.5 % Time series [33rd of 174]
Strikes 60 [11th of 27]
Total work time > Females 453 minutes [10th of 29]
Total work time > Females over males 106% [20th of 29]
Total work time > Males 428 minutes [12th of 29]
Trade union membership 13% [17th of 18]
Unemployment 5% [11th of 18]
Unemployment and education > Tertiary 1.8% [16th of 18]
Unemployment and education > Upper secondary 3.6% [12th of 18]
Unemployment benefit as % of GDP 0.2 % of GDP [18th of 18]
Unemployment benefit replacement 14 [18th of 20]
Unemployment gender ratio 105% [17th of 30]
Unemployment rate 4.6% Time series [64th of 107]
Unemployment with secondary education, female > % of female unemployment 34.1 % Time series [42nd of 71]
Unemployment with secondary education, male > % of male unemployment 34.5 % Time series [41st of 71]
Unemployment with tertiary education > % of total unemployment 47.3 % Time series [3rd of 77]
Unemployment with tertiary education, female > % of female unemployment 48.5 % Time series [3rd of 71]
Unemployment with tertiary education, male > % of male unemployment 46.3 % Time series [2nd of 71]
Unemployment, female > % of female labor force 5.4 % Time series [59th of 95]
Unemployment, male > % of male labor force 5.6 % Time series [54th of 95]
Unemployment, total > % of total labor force 5.5 % Time series [56th of 101]
Unemployment, youth female > % of female labor force ages 15-24 10.1 % Time series [43rd of 77]
Unemployment, youth male > % of male labor force ages 15-24 12.4 % Time series [39th of 77]
Unemployment, youth total > % of total labor force ages 15-24 11.3 % Time series [42nd of 77]
Vacation > Minimum vacation time around the world > legally required
Not required, but 7-21 days is standard for most employers. Typically, 10 working days with 8 national holidays.
Work time > Market-oriented 50% [20th of 29]
Work Time > More than 40 hours 67.6% [2nd of 18]
Work time > Non-market-oriented 50% [10th of 29]
Workers' remittances and compensation of employees, paid > US$ 41,072,000,000 $ Time series [1st of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 3.308 $ per $1,000 of GDP Time series [81st of 166]
    Workers' remittances and compensation of employees, paid > US$ (per capita) 138.565 $ per 1,000 people Time series [29th of 167]
Workers' remittances and compensation of employees, received > US$ 2,924,000,000 $ Time series [26th of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 0.235 $ per $1,000 of GDP Time series [151st of 165]
    Workers' remittances and compensation of employees, received > US$ (per capita) 9.865 $ per capita Time series [126th of 167]
Working mothers 61 [8th of 23]
Working time to buy a car 1,459 hours [8th of 16]
Working time to buy a refrigerator 29 hours [10th of 15]
Working time to buy a television set 15 hours [13th of 15]
Working time to buy beef 50 minutes [11th of 16]
Working time to buy bread 14 minutes [2nd of 16]
Working time to buy chicken 12 minutes [14th of 16]
Working time to buy fish 58 minutes [8th of 15]
Working time to buy milk 3 minutes [12th of 16]
Youth unemployment 9.3% [19th 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; 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: United States, United States of America, usa, America, The United States, u.s.

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