FACTOID # 2: What is in a name? More than 90% of people in Bhutan, Burundi and Burkina Faso are involved in agriculture.
 
 Home   Encyclopedia   Statistics   Countries A-Z   Flags   Maps   Education   Forum   FAQ   About 
 
 
 
WHAT'S NEW
TOP STATS
More Top Stats »
 

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 > Agriculture Statistics > Yield > Peanut

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

Showing latest available data.

Correlations between Agriculture > Yield > Peanut ...

Variable Strength
...and  Labor > Economic activity > Men aged 65 plus (inverse) 85% [plot | correlate | graph]
...and  Media > Phone subscribers 76% [plot | correlate | graph]
...and  People > Female population > Age 55-59 > % of the total 76% [plot | correlate | graph]
...and  People > Total population > Age 55-59 > % of the total 76% [plot | correlate | graph]
...and  People > Male population > Age 55-59 > % of the total 73% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 65 plus (inverse) 70% [plot | correlate | graph]
...and  People > Total population > Age 65-69 > % of the total 70% [plot | correlate | graph]
...and  People > Female population > Age 60-64 > % of the total 70% [plot | correlate | graph]
...and  People > Total population > Age 60-64 > % of the total 70% [plot | correlate | graph]
...and  People > Female population > Age 65-69 > % of the total 70% [plot | correlate | graph]
...and  People > Total population > Age 70-74 > % of the total 70% [plot | correlate | graph]
...and  People > Female population > Age 70-74 > % of the total 70% [plot | correlate | graph]
...and  People > Female population > Age 50-54 > % of the total 70% [plot | correlate | graph]
...and  Crime > Prisoners > Female 69% [plot | correlate | graph]
...and  People > Total population > Age 50-54 > % of the total 69% [plot | correlate | graph]
...and  Education > Tertiary enrollment 68% [plot | correlate | graph]
...and  People > Male population > Age 65-69 > % of the total 68% [plot | correlate | graph]
...and  People > Male population > Age 60-64 > % of the total 67% [plot | correlate | graph]
...and  People > Male population > Age 70-74 > % of the total 67% [plot | correlate | graph]
...and  People > Male population > Age 50-54 > % of the total 66% [plot | correlate | graph]
...and  Labor > Economic activity > Men aged 60-64 (inverse) 65% [plot | correlate | graph]
...and  Agriculture > Tractor concentration 65% [plot | correlate | graph]
...and  People > Female population > Age 75-79 > % of the total 65% [plot | correlate | graph]
...and  People > Male population > Age 10-14 > % of the total (inverse) 65% [plot | correlate | graph]
...and  People > Total population > Age 10-14 > % of the total (inverse) 65% [plot | correlate | graph]
...and  People > Female population > Age 15-19 > % of the total (inverse) 64% [plot | correlate | graph]
...and  People > Female population > Age 10-14 > % of the total (inverse) 64% [plot | correlate | graph]
...and  People > Total population > Age 75-79 > % of the total 64% [plot | correlate | graph]
...and  Religion > Catholics 63% [plot | correlate | graph]
...and  Economy > Human Development Index 63% [plot | correlate | graph]
...and  People > Total population > Age 15-19 > % of the total (inverse) 62% [plot | correlate | graph]
...and  People > Gender development 62% [plot | correlate | graph]
...and  People > Male population > Age 75-79 > % of the total 61% [plot | correlate | graph]
...and  Energy > Traditional fuel consumption (inverse) 61% [plot | correlate | graph]
...and  Health > Births with health staff 61% [plot | correlate | graph]
...and  Health > Healthy life expectancy at birth, years > Females 60% [plot | correlate | graph]
...and  Health > Probability of reaching 65 > Female 60% [plot | correlate | graph]
...and  Health > Healthy life expectancy at birth, years > Total population 60% [plot | correlate | graph]
...and  People > Women > Contraceptive prevalence % 59% [plot | correlate | graph]
...and  Health > Nutrition > % of under-fives suffering from stunting moderate & severe (inverse) 59% [plot | correlate | graph]
...and  Health > Probability of reaching 65 > Male 59% [plot | correlate | graph]
...and  Health > Nutrition > % of under-fives suffering from wasting moderate & severe (inverse) 59% [plot | correlate | graph]
...and  Health > Healthy life expectancy at birth, years > Males 59% [plot | correlate | graph]
...and  People > Women > Maternal mortality ratio adjusted (inverse) 59% [plot | correlate | graph]
...and  People > Male population > Age 15-19 > % of the total (inverse) 58% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 60-64 (inverse) 58% [plot | correlate | graph]
...and  People > Male population > Age 45-49 > % of the total 58% [plot | correlate | graph]
...and  People > Age structure > 0-14 years (inverse) 57% [plot | correlate | graph]
...and  People > Total population > Age 45-49 > % of the total 57% [plot | correlate | graph]
...and  Health > Probability of not reaching 40 (inverse) 56% [plot | correlate | graph]
Average: 65%

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: Yield of Peanut, Metric tons per hectare, 2003/2004

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.