NationMaster - Correlations > Labor > Working time to buy milk

	Variable	Strength
...and	Health > Life expectancy at birth, years > Females	62%	[plot \| correlate \| graph]
...and	People > Gender empowerment measure (inverse)	53%	[plot \| correlate \| graph]
...and	People > Gender empowerment (inverse)	53%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Total population	50%	[plot \| correlate \| graph]
...and	Economy > Public institution index (inverse)	50%	[plot \| correlate \| graph]
...and	Economy > Macroeconomic environment index (inverse)	46%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Cotton	46%	[plot \| correlate \| graph]
...and	Labor > Employment rate of highly educated women (inverse)	46%	[plot \| correlate \| graph]
...and	Lifestyle > Life satisfaction (inverse)	45%	[plot \| correlate \| graph]
...and	People > Women > Contraceptive prevalence % (inverse)	42%	[plot \| correlate \| graph]
...and	Internet > Web sites (inverse)	42%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of hides and skins	41%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of apparel and household goods-cotton	41%	[plot \| correlate \| graph]
...and	Environment > Sustainability-satisfying companies (inverse)	41%	[plot \| correlate \| graph]
...and	Health > Life expectancy at birth, years > Males	40%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US exports of leather and furs	39%	[plot \| correlate \| graph]
...and	People > Male population > Age 30-34 > % of the total	39%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Total population	39%	[plot \| correlate \| graph]
...and	Lifestyle > Will fight for country (inverse)	39%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Females	38%	[plot \| correlate \| graph]
...and	Media > Telecommunications employment (inverse)	37%	[plot \| correlate \| graph]
...and	Economy > Growth competitiveness score (inverse)	37%	[plot \| correlate \| graph]
...and	Health > Heart disease deaths (inverse)	37%	[plot \| correlate \| graph]
...and	Health > Probability of reaching 65 > Female	36%	[plot \| correlate \| graph]
...and	Economy > Economic freedom (inverse)	36%	[plot \| correlate \| graph]
...and	Health > Healthy life expectancy at birth, years > Males	35%	[plot \| correlate \| graph]
...and	People > Total population > Age 30-34 > % of the total	35%	[plot \| correlate \| graph]
...and	Democracy > Female parliamentarians (inverse)	34%	[plot \| correlate \| graph]
...and	Labor > Working time to buy bread	34%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 60 (inverse)	34%	[plot \| correlate \| graph]
...and	Media > Cable TV subscribers (inverse)	34%	[plot \| correlate \| graph]
...and	Economy > Business efficiency (inverse)	34%	[plot \| correlate \| graph]
...and	Media > Television reception by terrestrial means	34%	[plot \| correlate \| graph]
...and	People > Male population > Age 80-84 > % of the total	32%	[plot \| correlate \| graph]
...and	Food > Beer consumption (inverse)	32%	[plot \| correlate \| graph]
...and	Labor > Unemployment benefit replacement (inverse)	31%	[plot \| correlate \| graph]
...and	Education > Education spending (% Tertiary) (inverse)	30%	[plot \| correlate \| graph]
...and	Health > Circulatory disease deaths (inverse)	30%	[plot \| correlate \| graph]
...and	People > Female population > Age 30-34 > % of the total	30%	[plot \| correlate \| graph]
...and	People > Male population > Age 80-84	30%	[plot \| correlate \| graph]
...and	Labor > Working time to buy a refrigerator	30%	[plot \| correlate \| graph]
...and	People > Average size of households	29%	[plot \| correlate \| graph]
...and	Health > Life expectancy > Female healthy years	29%	[plot \| correlate \| graph]
...and	Labor > Youth unemployment	29%	[plot \| correlate \| graph]
...and	Education > Education spending (% of GDP) (inverse)	29%	[plot \| correlate \| graph]
...and	Labor > Unemployment and education > Tertiary	28%	[plot \| correlate \| graph]
...and	Labor > Service workers > Female (inverse)	28%	[plot \| correlate \| graph]
...and	Health > Stomach cancer deaths	28%	[plot \| correlate \| graph]
...and	Immigration > Asylum seekers acceptance rates > 1990-99 (inverse)	28%	[plot \| correlate \| graph]
...and	Health > Nurses (inverse)	28%	[plot \| correlate \| graph]
	Average:	37%

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.

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Detailed correlation information
Map & Graph: countries ranked

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: Number of minutes worked by average worker to buy 1 litre of milk.

SOURCE: International Metalworkers' Federation, The Purchasing Power of Working Time 2002: An International Comparison of Average Net Hourly Earnings 2001 (International Metalworkers' Federation, Geneva, 2002)

Correlations > Labor Statistics > Working time to buy milk

Correlations between Labor > Working time to buy milk ...

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NOTES:

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