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Oceania > New Zealand > Labor

NEW ZEALAND LABOR STATS:   Top Stats   All Stats  
View this page with:    Just Stats   Sources   Definitions   Both  
Agricultural workers > Female 6% [36th of 77]
Agricultural workers > Male 11% [39th of 78]
Compensation of employees > % of expense 25.62 % Time series [28th of 97]
Compensation of employees > current LCU 12936660000 Time series
Days off work 8 days [17th of 20]
Economic activity > Both sexes aged 15-19 49.75 [48th of 167]
Economic activity > Both sexes aged 20-24 78.09 [51st of 166]
Economic activity > Both sexes aged 25-29 80.1 [97th of 167]
Economic activity > Both sexes aged 30-34 82.14 [94th of 165]
Economic activity > Both sexes aged 35-39 87.33 [67th of 166]
Economic activity > Both sexes aged 40-44 89.95 [44th of 167]
Economic activity > Both sexes aged 45-49 88.19 [44th of 163]
Economic activity > Both sexes aged 50-54 81.8 [52nd of 166]
Economic activity > Both sexes aged 55-59 62.67 [82nd of 166]
Economic activity > Both sexes aged 60-64 25.03 [142nd of 166]
Economic activity > Both sexes aged 65 plus 5.73 [145th of 165]
Economic activity > Men aged 15-19 50.86 [67th of 164]
Economic activity > Men aged 20-24 83.21 [88th of 166]
Economic activity > Men aged 25-29 91.83 [150th of 165]
Economic activity > Men aged 30-34 93.84 [163rd of 165]
Economic activity > Men aged 35-39 94.28 [161st of 164]
Economic activity > Men aged 40-44 94.57 [148th of 163]
Economic activity > Men aged 45-49 92.97 [149th of 167]
Economic activity > Men aged 50-54 90.36 [118th of 165]
Economic activity > Men aged 55-59 77.45 [132nd of 167]
Economic activity > Men aged 60-64 33.05 [145th of 165]
Economic activity > Men aged 65 plus 8.83 [145th of 162]
Economic activity > Women aged 15-19 48.59 [44th of 164]
Economic activity > Women aged 20-24 72.78 [50th of 166]
Economic activity > Women aged 25-29 68.11 [88th of 165]
Economic activity > Women aged 30-34 70.46 [81st of 167]
Economic activity > Women aged 35-39 80.65 [55th of 165]
Economic activity > Women aged 40-44 85.47 [43rd of 165]
Economic activity > Women aged 45-49 83.5 [37th of 161]
Economic activity > Women aged 50-54 73.31 [44th of 166]
Economic activity > Women aged 55-59 48.1 [69th of 167]
Economic activity > Women aged 60-64 17.34 [112nd of 165]
Economic activity > Women aged 65 plus 3.34 [136th of 167]
Employees, agriculture, female > % of female employment 5 % Time series [27th of 86]
Employees, agriculture, male > % of male employment 8.9 % Time series [29th of 86]
Employees, industry, female > % of female employment 10.5 % Time series [44th of 86]
Employees, industry, male > % of male employment 31.9 % Time series [30th of 86]
Employees, services, female > % of female employment 84.3 % Time series [19th of 86]
Employees, services, male > % of male employment 58.9 % Time series [19th of 86]
Employment in agriculture > % of total employment 7.1 % Time series [32nd of 94]
Employment in industry > % of total employment 22 % Time series [34th of 94]
Employment in services > % of total employment 70.6 % Time series [18th of 94]
employment rate > Source / date of > information 2003 OECD .
Employment rate of highly educated women 78.7% [16th of 18]
Employment rate of lesser educated women 54.8% [11th of 18]
Female decision makers 38% [5th of 67]
Female doctors 32.6% [10th of 18]
Female economic activity 57.2% [63rd of 156]
Female economic activity growth 8% [46th of 156]
Female professionals 54% [18th of 68]
force participation rate, female > % of female population ages 15-64 71.16 % Time series [30th of 184]
force participation rate, male > % of male population ages 15-64 83.3 % Time series [78th of 184]
force participation rate, total > % of total population ages 15-64 77.14 % Time series [34th of 184]
force with primary education > % of total 0.6 % Time series [39th of 48]
force with secondary education > % of total 49.6 % Time series [15th of 51]
force with tertiary education > % of total 27.2 % Time series [12th of 52]
force, female > % of total labor force 46.56 % Time series [41st of 184]
force, total 2,153,526 Time series [113rd of 184]
    force, total (per capita) 0.525 per capita Time series [19th of 184]
Gender division of housework 2.13 [5th of 13]
Industrial workers > Female 12% [48th of 79]
Industrial workers > Male 32% [36th of 79]
Labor force 2,236,000 Time series [87th of 132]
    Labor force (per capita) 543,276.096 per million people Time series [17th of 131]
Labor force > By occupation
agriculture 10%, industry 25%, services 65%
Labor force > By occupation > Agriculture 7% Time series [20th of 32]
Labor force > By occupation > Industry 19% Time series [12th of 29]
Labor force > By occupation > Services 74% Time series [2nd of 29]
Long term unemployment 1.2% [18th of 27]
Long term unemployment > Share 16.8% [23rd of 28]
Long-term unemployment > % of total unemployment 13.3 % Time series [24th of 48]
Long-term unemployment, female > % of female unemployment 11 % Time series [24th of 46]
Long-term unemployment, male > % of male unemployment 15.5 % Time series [24th of 46]
Parental leave > Paid maternity leave 14 weeks
Parental leave > Unpaid maternity leave 38 weeks
Parental leave > Unpaid paternity leave
Fathers can share unpaid (extended) leave with the mother of the child.
Regulation 32 [115th of 123]
Regulation > Employment Conditions 43 [110th of 123]
Regulation > Firing 20 [102nd of 123]
Regulation > Hiring 33 [81st of 123]
Researchers in labor force 44 per 10000 people [16th of 18]
Right to Organise and Collective Bargaining Convention > Ratifications > Date June 9, 2003
Rigidity of employment index 7 Time series [162nd of 166]
Service workers > Female 81% [30th of 79]
Service workers > Male 56% [29th of 79]
Share of women employed in the nonagricultural sector > % of total nonagricultural employment 50.5 % Time series [16th of 174]
Strikes 20 [19th of 27]
Technicians in R&D > per million people 832.5 per million people Time series [12th of 49]
Total work time > Females 420 minutes [21st of 29]
Total work time > Females over males 101% [23rd of 29]
Total work time > Males 417 minutes [14th of 29]
Trade union membership 22% [14th of 18]
Unemployment 5.7% [8th of 18]
Unemployment and education > Tertiary 3.6% [7th of 18]
Unemployment and education > Upper secondary 3.5% [13th of 18]
Unemployment benefit as % of GDP 1.6 % of GDP [8th of 18]
Unemployment gender ratio 95% [23rd of 30]
Unemployment rate 3.6% Time series [77th of 107]
Unemployment with secondary education, female > % of female unemployment 49.1 % Time series [20th of 71]
Unemployment with secondary education, male > % of male unemployment 48.4 % Time series [19th of 71]
Unemployment with tertiary education > % of total unemployment 16 % Time series [20th of 77]
Unemployment with tertiary education, female > % of female unemployment 16.7 % Time series [18th of 71]
Unemployment with tertiary education, male > % of male unemployment 14.9 % Time series [14th of 71]
Unemployment, female > % of female labor force 4.4 % Time series [63rd of 95]
Unemployment, male > % of male labor force 3.5 % Time series [68th of 95]
Unemployment, total > % of total labor force 3.9 % Time series [70th of 101]
Unemployment, youth female > % of female labor force ages 15-24 9.8 % Time series [47th of 77]
Unemployment, youth male > % of male labor force ages 15-24 9.1 % Time series [50th of 77]
Unemployment, youth total > % of total labor force ages 15-24 9.4 % Time series [48th of 77]
Vacation > Minimum vacation time around the world > legally required
4 weeks as of April 1, 2007
Work time > Market-oriented 46% [26th of 29]
Work Time > More than 40 hours 65.4% [4th of 18]
Work time > Non-market-oriented 54% [4th of 29]
Workers' remittances and compensation of employees, paid > US$ 936,000,000 $ Time series [33rd of 149]
    Workers' remittances and compensation of employees, paid > US$ (per $ GDP) 8.564 $ per $1,000 of GDP Time series [50th of 166]
    Workers' remittances and compensation of employees, paid > US$ (per capita) 228.354 $ per 1,000 people Time series [17th of 167]
Workers' remittances and compensation of employees, received > US$ 739,000,000 $ Time series [64th of 156]
    Workers' remittances and compensation of employees, received > US$ (per $ GDP) 6.762 $ per $1,000 of GDP Time series [101st of 165]
    Workers' remittances and compensation of employees, received > US$ (per capita) 180.292 $ per capita Time series [34th of 167]
Workers' remittances, receipts > BoP, current US$ 322,273,200 BoP $ Time series [44th of 115]
    Workers' remittances, receipts > BoP, current US$ (per $ GDP) 3.273 BoP $ per $1 million of Time series [74th of 142]
    Workers' remittances, receipts > BoP, current US$ (per capita) 79.35 BoP $ per 1,000 people Time series [29th of 143]
Working time to buy a car 1,175 hours [12th of 16]
Working time to buy a refrigerator 37 hours [7th of 15]
Working time to buy a television set 20 hours [11th of 15]
Working time to buy beef 45 minutes [13th of 16]
Working time to buy bread 8 minutes [8th of 16]
Working time to buy chicken 19 minutes [11th of 16]
Working time to buy fish 48 minutes [10th of 15]
Working time to buy milk 5 minutes [5th of 16]
Youth unemployment 13.2% [10th 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; 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 ; 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; 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: New Zealand

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