FACTOID # 1: Guatamalan women work 11.5 hours a day, while South African men work only 4.5.
 
 Home   Encyclopedia   Statistics   Countries A-Z   Flags   Maps   Education   Forum   FAQ   About 
 
 
 
WHAT'S NEW
COMPARE CANADIAN LABOR TO
TOP STATS
Which countries have the most:
More Top Stats »
 

SEARCH ALL

FACTS & STATISTICS    Advanced view

Search encyclopedia, statistics and forums:

 

 

(* = Graphable)

 

 


North America > Canada > Labor

Share
Agricultural workers > Female 2% [65th of 77]
Agricultural workers > Male 5% [65th of 78]
Compensation of employees > % of expense 12.04 % Time series [60th of 97]
Compensation of employees > current LCU 29464900000 Time series
Days off work 125 days [6th of 20]
Economic activity > Both sexes aged 15-19 49.04 [49th of 167]
Economic activity > Both sexes aged 20-24 79.01 [44th of 166]
Economic activity > Both sexes aged 25-29 88.37 [38th of 167]
Economic activity > Both sexes aged 30-34 88.22 [60th of 165]
Economic activity > Both sexes aged 35-39 89.55 [53rd of 166]
Economic activity > Both sexes aged 40-44 89.81 [45th of 167]
Economic activity > Both sexes aged 45-49 86.82 [52nd of 163]
Economic activity > Both sexes aged 50-54 80.31 [62nd of 166]
Economic activity > Both sexes aged 55-59 61.86 [85th of 166]
Economic activity > Both sexes aged 60-64 34.68 [117th of 166]
Economic activity > Both sexes aged 65 plus 6.05 [143rd of 165]
Economic activity > Men aged 15-19 50.37 [68th of 164]
Economic activity > Men aged 20-24 80.78 [114th of 166]
Economic activity > Men aged 25-29 92.76 [143rd of 165]
Economic activity > Men aged 30-34 93.91 [162nd of 165]
Economic activity > Men aged 35-39 94.31 [160th of 164]
Economic activity > Men aged 40-44 94.03 [156th of 163]
Economic activity > Men aged 45-49 92.91 [151st of 167]
Economic activity > Men aged 50-54 88.66 [136th of 165]
Economic activity > Men aged 55-59 74.04 [143rd of 167]
Economic activity > Men aged 60-64 46.65 [127th of 165]
Economic activity > Men aged 65 plus 9.41 [139th of 162]
Economic activity > Women aged 15-19 47.65 [45th of 164]
Economic activity > Women aged 20-24 77.19 [28th of 166]
Economic activity > Women aged 25-29 83.9 [31st of 165]
Economic activity > Women aged 30-34 82.45 [47th of 167]
Economic activity > Women aged 35-39 84.66 [43rd of 165]
Economic activity > Women aged 40-44 85.51 [42nd of 165]
Economic activity > Women aged 45-49 80.74 [45th of 161]
Economic activity > Women aged 50-54 71.91 [52nd of 166]
Economic activity > Women aged 55-59 49.78 [66th of 167]
Economic activity > Women aged 60-64 23.16 [93rd of 165]
Economic activity > Women aged 65 plus 3.55 [130th of 167]
employment rate > Source / date of > information 2003 OECD .
Employment rate of highly educated women 79.8% [15th of 18]
Employment rate of lesser educated women 52% [13th of 18]
Female decision makers 35% [15th of 67]
Female doctors 31.1% [11th of 18]
Female economic activity 60.1% [52nd of 156]
Female economic activity growth 4% [70th of 156]
Female professionals 53% [25th of 68]
Firing cost > weeks of wages 28 weeks of wages Time series [110th of 164]
force participation rate, female > % of female population ages 15-64 72.78 % Time series [26th of 184]
force participation rate, male > % of male population ages 15-64 82.56 % Time series [90th of 184]
force participation rate, total > % of total population ages 15-64 77.7 % Time series [31st of 184]
force with primary education > % of total 17.2 % Time series [30th of 48]
force with secondary education > % of total 30.3 % Time series [31st of 51]
force with tertiary education > % of total 52.5 % Time series [1st of 52]
force, female > % of total labor force 46.36 % Time series [43rd of 184]
force, total 17,645,480 Time series [32nd of 184]
Foreign labor force 19.2 [3rd of 23]
Gender division of housework 2.25 [3rd of 13]
Hours worked 1,718 hours [4th of 9]
Industrial workers > Female 11% [60th of 79]
Industrial workers > Male 32% [40th of 79]
Labor force > By occupation
agriculture 2%, manufacturing 13%, construction 6%, services 76%, other 3%
Long term unemployment 0.8% [22nd of 27]
Long term unemployment > Share 9.5% [25th of 28]
Long-term unemployment > % of total unemployment 10.1 % Time series [26th of 48]
Long-term unemployment, female > % of female unemployment 8.4 % Time series [26th of 46]
Long-term unemployment, male > % of male unemployment 11.4 % Time series [26th of 46]
Parental leave > Paid maternity leave
55% up to $413/week for 50 weeks (15 weeks maternity + 35 weeks parental leave shared with father)
Parental leave > Paid paternity leave
55% up to $413/week for 35 weeks parental leave (shared with mother)
Regulation 34 [112nd of 123]
Regulation > Employment Conditions 52 [102nd of 123]
Regulation > Firing 16 [111st of 123]
Regulation > Hiring 33 [98th of 123]
Researchers in labor force 58 per 10000 people [10th of 18]
Rigidity of employment index 4 Time series [165th of 166]
Service workers > Female 86% [16th of 79]
Service workers > Male 63% [13th of 79]
Strikes 217 [3rd of 27]
Technicians in R&D > per million people 770.13 per million people Time series [8th of 49]
Temporary employment share 25% [2nd of 26]
Total work time > Females 420 minutes [22nd of 29]
Total work time > Females over males 98% [28th of 29]
Total work time > Males 429 minutes [11th of 29]
Trade union membership 30% [9th of 18]
Unemployment 7.3% [5th of 18]
Unemployment and education > Tertiary 3.8% [5th of 18]
Unemployment and education > Upper secondary 5.8% [5th of 18]
Unemployment benefit as % of GDP 1 % of GDP [11th of 18]
Unemployment benefit replacement 28 [13th of 20]
Unemployment gender ratio 96% [22nd of 30]
Unemployment with secondary education, female > % of female unemployment 31.6 % Time series [44th of 71]
Unemployment with secondary education, male > % of male unemployment 30.2 % Time series [46th of 71]
Unemployment with tertiary education > % of total unemployment 40.2 % Time series [5th of 77]
Unemployment with tertiary education, female > % of female unemployment 42.2 % Time series [6th of 71]
Unemployment with tertiary education, male > % of male unemployment 38.6 % Time series [4th of 71]
Unemployment, female > % of female labor force 6.8 % Time series [49th of 95]
Unemployment, male > % of male labor force 7.5 % Time series [37th of 95]
Unemployment, total > % of total labor force 7.2 % Time series [46th of 101]
Unemployment, youth female > % of female labor force ages 15-24 10.6 % Time series [42nd of 77]
Unemployment, youth male > % of male labor force ages 15-24 14.2 % Time series [33rd of 77]
Unemployment, youth total > % of total labor force ages 15-24 12.4 % Time series [39th of 77]
Vacation > Minimum vacation time around the world > legally required
10 working days, determined by provincial law
Work time > Market-oriented 53% [13th of 29]
Work Time > More than 40 hours 54.7% [8th of 18]
Work time > Non-market-oriented 47% [18th of 29]
Working time to buy a car 1,552 hours [5th of 16]
Working time to buy beef 48 minutes [12th of 16]
Working time to buy bread 7 minutes [12th of 16]
Working time to buy chicken 16 minutes [12th of 16]
Working time to buy milk 5 minutes [6th of 16]
Youth unemployment 12.6% [12th 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: Canada, Canada & Newfoundland

Related links:

More facts and figures on Canada
   
CANADIAN STATS
 

COMMENTARY     

anonymous
23rd October 2005 		how many doctors for 1000 people?
There are 1 more (non-authoritative) comments on this page

Share your thoughts, questions and commentary here
Your name
Your comments

Want to know more?
Search encyclopedia, statistics and forums:
 


Lesson Plans | Student Area | Student FAQ | Reviews | Press Releases |  Feeds | Contact
© Copyright NationMaster.com 2003-2013. All Rights Reserved. Usage implies agreement with terms, 1022, m