FACTOID # 4: Australians are the most likely to join charities, educational organizations, environmental groups, professional organizations, sports groups and unions. But only three percent join political parties.
 
 Home   Encyclopedia   Statistics   Countries A-Z   Flags   Maps   Education   Forum   FAQ   About 
 
 
 
WHAT'S NEW
RELATED STATS
People who viewed "Job priority for men during recession" also viewed these world stats:
Search for: jobs graphs; countries in recession
 

FACTS & STATISTICS    Simple view

  1. Select countries to view: (hold down Control key and click to select several)

     

     

    Compare:

     

     

  1. Select fact or statistic: (* = graphable)

     

     

     

  2. (OPTIONAL) Compare to statistic: (both need to be graphable)

     

     

     

  3. View result as:

     

       
(OR) SEARCH ALL encyclopedia, stats & forums:   

Correlations > Lifestyle Statistics > Job priority for men during recession

VIEW DATA:   Totals  
Definition     Source      Printable version   
    Bar Graph   Map   Correlations  

Showing latest available data.

Correlations between Lifestyle > Job priority for men during recession ...

Variable Strength
...and  Labor > Female economic activity (inverse) 72% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 55-59 (inverse) 67% [plot | correlate | graph]
...and  Lifestyle > Trust people (inverse) 67% [plot | correlate | graph]
...and  Economy > Gender income ratio (inverse) 63% [plot | correlate | graph]
...and  People > Gender development index (inverse) 62% [plot | correlate | graph]
...and  Immigration > Asylum seekers acceptance rates > 1990-99 (inverse) 59% [plot | correlate | graph]
...and  Religion > Catholics as percentage 56% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 35-39 (inverse) 54% [plot | correlate | graph]
...and  Democracy > Female parliamentarians (inverse) 54% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 50-54 (inverse) 53% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 30-34 (inverse) 53% [plot | correlate | graph]
...and  Health > % immunized 1-year-old children > Measles (inverse) 52% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 40-44 (inverse) 52% [plot | correlate | graph]
...and  Education > Average years of schooling of adults (inverse) 51% [plot | correlate | graph]
...and  Economy > Growth competitiveness score (inverse) 50% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 30-34 (inverse) 49% [plot | correlate | graph]
...and  Environment > Urban SO2 concentration 49% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 55-59 (inverse) 48% [plot | correlate | graph]
...and  Economy > Technology index (inverse) 46% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 40-44 (inverse) 46% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 35-39 (inverse) 46% [plot | correlate | graph]
...and  Education > Education spending (% Tertiary) (inverse) 46% [plot | correlate | graph]
...and  Lifestyle > Will fight for country (inverse) 45% [plot | correlate | graph]
...and  Labor > Economic activity > Men aged 30-34 45% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 60-64 (inverse) 45% [plot | correlate | graph]
...and  People > Elderly living in institution (inverse) 44% [plot | correlate | graph]
...and  Economy > Research and development personnel (inverse) 44% [plot | correlate | graph]
...and  Agriculture > Root and tuber production growth (inverse) 44% [plot | correlate | graph]
...and  People > Gender empowerment measure (inverse) 44% [plot | correlate | graph]
...and  People > Gender empowerment (inverse) 44% [plot | correlate | graph]
...and  Labor > Economic activity > Men aged 35-39 43% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 50-54 (inverse) 43% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 25-29 (inverse) 43% [plot | correlate | graph]
...and  Media > Commercial share of broadcasting revenue 43% [plot | correlate | graph]
...and  Labor > Researchers in labor force (inverse) 42% [plot | correlate | graph]
...and  Health > % immunized 1-year-old children > DPT3 (inverse) 42% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of glassware, porcelain, and chinaware 42% [plot | correlate | graph]
...and  Education > School life expectancy > Female (inverse) 40% [plot | correlate | graph]
...and  Lifestyle > Confidence in social institutions > Police (inverse) 40% [plot | correlate | graph]
...and  Lifestyle > Political action > Joined a boycott (inverse) 40% [plot | correlate | graph]
...and  Health > Motor vehicle deaths 40% [plot | correlate | graph]
...and  Lifestyle > Jobs for native citizens during recession 39% [plot | correlate | graph]
...and  Media > Public share of broadcasting revenue (inverse) 39% [plot | correlate | graph]
...and  Economy > Public institution index (inverse) 38% [plot | correlate | graph]
...and  People > Women > Contraceptive prevalence % (inverse) 38% [plot | correlate | graph]
...and  Education > Geographical aptitude results 38% [plot | correlate | graph]
...and  Education > Education spending (% of GDP) (inverse) 37% [plot | correlate | graph]
...and  Education > Proportion of 20 year olds in secondary education (inverse) 36% [plot | correlate | graph]
...and  People > One person households (inverse) 36% [plot | correlate | graph]
...and  Education > Expected duration of education for females (inverse) 36% [plot | correlate | graph]
Average: 47%

About Correlations:

A correlation is a statistical measure of similarity between at least two given sets of data. NationMaster's correlations compare two variables from our database and reveal statistical relationships between them. The percentages you see represent the strength (or likelihood) that a change in the topic variable is matched by a change in the listed variables below it. But remember: These correlations do not imply causation, that is, one does not necessarily cause the other. Also, not all variables contain all countries, rather subsets of countries matched together.

VIEW FOR THIS VARIABLE:

NOTES:

  • Outliers have been removed only where they are outside 3 standard deviations of the mean.
  • Only variable pairs where at least 15 countries match for each have been considered.
  • Strength is given by the correlation coefficient (R squared). It is the fraction of variation in Y that can be attributed to the variation in X. 100% signifies a perfect fit (R squared of 1). The top 50 such stats are displayed



DEFINITION: Percentages in 1990s surveys agreeing with job priorities for men when jobs are scarce.

SOURCE: World Values Survey

Related links:

 

COMMENTARY     


Share your thoughts, questions and commentary here
Your name
Your comments
Please enter the 5-letter protection code

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

 


Lesson Plans | Student Area | Student FAQ | Reviews | Press Releases |  Feeds | Contact
© Copyright NationMaster.com 2003-2009. All Rights Reserved. Usage implies agreement with terms.