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

Agricultural workers > Female 2% [63rd of 77]
Agricultural workers > Male 6% [56th of 78]
Compensation of employees > % of expense 16.23 % Time series [47th of 97]
Compensation of employees > current LCU 105316000000 Time series
Days off work 239 days [3rd of 20]
Economic activity > Both sexes aged 15-19 30.4 [114th of 167]
Economic activity > Both sexes aged 20-24 71.79 [95th of 166]
Economic activity > Both sexes aged 25-29 84.33 [66th of 167]
Economic activity > Both sexes aged 30-34 90.13 [43rd of 165]
Economic activity > Both sexes aged 35-39 91.33 [41st of 166]
Economic activity > Both sexes aged 40-44 91.38 [37th of 167]
Economic activity > Both sexes aged 45-49 90.88 [30th of 163]
Economic activity > Both sexes aged 50-54 82.2 [49th of 166]
Economic activity > Both sexes aged 55-59 72.39 [54th of 166]
Economic activity > Both sexes aged 60-64 52.24 [76th of 166]
Economic activity > Both sexes aged 65 plus 8.08 [133rd of 165]
Economic activity > Men aged 15-19 31.06 [120th of 164]
Economic activity > Men aged 20-24 74.5 [154th of 166]
Economic activity > Men aged 25-29 88.29 [165th of 165]
Economic activity > Men aged 30-34 93.98 [161st of 165]
Economic activity > Men aged 35-39 94.11 [162nd of 164]
Economic activity > Men aged 40-44 93.98 [158th of 163]
Economic activity > Men aged 45-49 93.32 [140th of 167]
Economic activity > Men aged 50-54 86.97 [142nd of 165]
Economic activity > Men aged 55-59 79.38 [117th of 167]
Economic activity > Men aged 60-64 59.42 [110th of 165]
Economic activity > Men aged 65 plus 11.17 [134th of 162]
Economic activity > Women aged 15-19 29.7 [86th of 164]
Economic activity > Women aged 20-24 68.95 [64th of 166]
Economic activity > Women aged 25-29 80.18 [48th of 165]
Economic activity > Women aged 30-34 86.05 [34th of 167]
Economic activity > Women aged 35-39 88.39 [33rd of 165]
Economic activity > Women aged 40-44 88.65 [28th of 165]
Economic activity > Women aged 45-49 88.33 [21st of 161]
Economic activity > Women aged 50-54 77.19 [35th of 166]
Economic activity > Women aged 55-59 65.26 [33rd of 167]
Economic activity > Women aged 60-64 45.35 [43rd of 165]
Economic activity > Women aged 65 plus 5.88 [104th of 167]
employment rate > Source / date of > information 2003 OECD .
Employment rate of highly educated women 87.3% [3rd of 18]
Employment rate of lesser educated women 63.8% [5th of 18]
Female decision makers 25% [47th of 67]
Female doctors 37.2% [3rd of 18]
Female economic activity 59.1% [57th of 156]
Female economic activity growth 8% [48th of 156]
Female professionals 49% [40th of 68]
Firing cost > weeks of wages 13 weeks of wages Time series [144th of 164]
force participation rate, female > % of female population ages 15-64 77.33 % Time series [14th of 184]
force participation rate, male > % of male population ages 15-64 83.61 % Time series [73rd of 184]
force participation rate, total > % of total population ages 15-64 80.52 % Time series [18th of 184]
force with primary education > % of total 14.7 % Time series [37th of 48]
force with secondary education > % of total 56.5 % Time series [8th of 51]
force with tertiary education > % of total 28.4 % Time series [11th of 52]
force, female > % of total labor force 47.29 % Time series [28th of 184]
force, total 2,524,817 Time series [103rd of 184]
Foreign labor force 4.9 [11th of 23]
Gender division of housework 2.26 [2nd of 13]
Hours worked 1,337 hours [9th of 9]
Industrial workers > Female 9% [73rd of 79]
Industrial workers > Male 33% [33rd of 79]
Labor force > By occupation
agriculture, forestry, and fishing 4%, industry 22%, services 74%
Long term unemployment 0.2% [27th of 27]
Long term unemployment > Share 3.7% [27th of 28]
Long-term unemployment > % of total unemployment 6.4 % Time series [27th of 48]
Long-term unemployment, female > % of female unemployment 5.4 % Time series [27th of 46]
Long-term unemployment, male > % of male unemployment 7.1 % Time series [27th of 46]
Minimum Age Convention, 1973 > Ratifications > Date July 8, 1980
Minimum Age Convention, 1973 > Ratifications > Minimum age 15 [68th of 146]
Parental leave > Paid maternity leave
54 weeks (12.5 months) (80%) or 44 weeks (10 months) (100%) - mother must take at least 3 weeks immediately before birth and 6 weeks immediately after birth, father must take at least 6 weeks - the rest can be shared between mother and father.
Parental leave > Paid paternity leave
45 weeks (10.5 months) (80%) or 35 weeks (8 months) (100%) shared with mother - father must take a minimum of 6 weeks or else these weeks are lost as paid leave.
Parental leave > Restrictions
To gain the right of paid leave, the parent must have worked for the last 10 months before birth, or the leave is unpaid (except for a lump sum benefit from the government)
Parental leave > Unpaid paternity leave
Two weeks after birth (most fathers get paid by their employers, though)
Regulation 41 [98th of 123]
Regulation > Employment Conditions 39 [116th of 123]
Regulation > Firing 25 [94th of 123]
Regulation > Hiring 58 [40th of 123]
Researchers in labor force 78 per 10000 people [5th of 18]
Right to Organise and Collective Bargaining Convention > Ratifications > Date February 17, 1955
Rigidity of employment index 54 Time series [35th of 166]
Seafarers' Pensions Convention > Ratification Date July 4, 1949
Service workers > Female 88% [4th of 79]
Service workers > Male 61% [17th of 79]
Strikes 135 [5th of 27]
Technicians in R&D > per million people 1,753.94 per million people Time series [4th of 49]
Temporary employment share 9.7% [16th of 26]
Total work time > Females 445 minutes [12th of 29]
Total work time > Females over males 108% [18th of 29]
Total work time > Males 412 minutes [16th of 29]
Trade union membership 57% [4th of 18]
Unemployment 3.5% [16th of 18]
Unemployment and education > Tertiary 1.9% [13th of 18]
Unemployment and education > Upper secondary 2.6% [15th of 18]
Unemployment benefit as % of GDP 0.5 % of GDP [16th of 18]
Unemployment benefit replacement 39 [5th of 20]
Unemployment gender ratio 88% [26th of 30]
Unemployment with secondary education, female > % of female unemployment 55.6 % Time series [15th of 71]
Unemployment with secondary education, male > % of male unemployment 53.2 % Time series [16th of 71]
Unemployment with tertiary education > % of total unemployment 21.7 % Time series [10th of 77]
Unemployment with tertiary education, female > % of female unemployment 24.4 % Time series [9th of 71]
Unemployment with tertiary education, male > % of male unemployment 19.4 % Time series [10th of 71]
Unemployment, female > % of female labor force 3.8 % Time series [68th of 95]
Unemployment, male > % of male labor force 4.8 % Time series [63rd of 95]
Unemployment, total > % of total labor force 4.4 % Time series [67th of 101]
Unemployment, youth female > % of female labor force ages 15-24 11.6 % Time series [39th of 77]
Unemployment, youth male > % of male labor force ages 15-24 12.6 % Time series [38th of 77]
Unemployment, youth total > % of total labor force ages 15-24 12.1 % Time series [40th of 77]
Vacation > Minimum vacation time around the world > legally required 25 working days
Work time > Market-oriented 50% [21st of 29]
Work Time > More than 40 hours 15.8% [18th of 18]
Work time > Non-market-oriented 50% [11th of 29]
Workers' remittances and compensation of employees, paid > US$ 953,000,000 $ Time series [32nd of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 3.225 $ per $1,000 of GDP Time series [84th of 166]
Workers' remittances and compensation of employees, received > US$ 429,000,000 $ Time series [77th of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 1.452 $ per $1,000 of GDP Time series [137th of 165]
Workers' remittances, receipts > BoP, current US$ 27,973,170 BoP $ Time series [47th of 115]
    Workers' remittances, receipts > BoP, current US$ (per $ GDP) 235.583 BoP $ per $1 million of Time series [116th of 142]
Working mothers 73 [3rd of 23]
Working time to buy a car 1,517 hours [6th of 16]
Working time to buy a refrigerator 18 hours [13th of 15]
Working time to buy a television set 22 hours [10th of 15]
Working time to buy beef 61 minutes [9th of 16]
Working time to buy bread 8 minutes [11th of 16]
Working time to buy chicken 23 minutes [7th of 16]
Working time to buy fish 44 minutes [11th of 15]
Working time to buy milk 4 minutes [9th of 16]
Youth unemployment 10.2% [17th 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: 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; OECD; Wikipedia: Right to Organise and Collective Bargaining Convention, 1949 ; Wikipedia: Seafarers' Pensions Convention, 1946 ; 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: Norway, Kingdom of Norway, Kongeriket Norge, Norge

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