NationMaster - Correlations > People > Divorces per 100 marriages

	Variable	Strength
...and	Labor > Agricultural workers > Male (inverse)	57%	[plot \| correlate \| graph]
...and	Agriculture > Labor share (inverse)	52%	[plot \| correlate \| graph]
...and	Environment > Urban NO2 concentration (inverse)	50%	[plot \| correlate \| graph]
...and	Transportation > Airports > With paved runways > 1524 to 2437 m (inverse)	48%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 65 plus (inverse)	48%	[plot \| correlate \| graph]
...and	People > Women > Skilled attendant at delivery %	46%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 65 plus (inverse)	46%	[plot \| correlate \| graph]
...and	Agriculture > Cotton use (inverse)	45%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Males	44%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Richest 10% (inverse)	42%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Young females	42%	[plot \| correlate \| graph]
...and	Economy > Income distribution > Richest 20% (inverse)	41%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of copper (inverse)	41%	[plot \| correlate \| graph]
...and	People > Male population > Age 100-104 > % of the total (inverse)	40%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Fruit juices (inverse)	40%	[plot \| correlate \| graph]
...and	Health > Suicide rate > Females	40%	[plot \| correlate \| graph]
...and	People > Female population > Age 80-84 > % of the total	40%	[plot \| correlate \| graph]
...and	Health > Public spending as % of total	39%	[plot \| correlate \| graph]
...and	Labor > Agricultural workers > Female (inverse)	39%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of nonmonetary gold (inverse)	38%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Men aged 60-64 (inverse)	38%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Women girl wear knit croch (inverse)	38%	[plot \| correlate \| graph]
...and	Geography > Largest city population (inverse)	38%	[plot \| correlate \| graph]
...and	Military > Armed forces personnel (inverse)	37%	[plot \| correlate \| graph]
...and	Health > Probability of dying before 5 > Females (inverse)	37%	[plot \| correlate \| graph]
...and	Environment > Threatened species (inverse)	36%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 65 plus (inverse)	36%	[plot \| correlate \| graph]
...and	Military > Manpower > Reaching military age annually > Males (inverse)	36%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for all students	36%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for females	35%	[plot \| correlate \| graph]
...and	Health > External resources for health as % of total expenditure on health (inverse)	35%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for males	35%	[plot \| correlate \| graph]
...and	Economy > Population below median income (inverse)	35%	[plot \| correlate \| graph]
...and	Education > Education spending (% Primary) (inverse)	35%	[plot \| correlate \| graph]
...and	Terrorism > Collective Political Violence in the 1990's combined (inverse)	34%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of apparel and household goods-wool (inverse)	34%	[plot \| correlate \| graph]
...and	Health > Infant mortality rate (inverse)	34%	[plot \| correlate \| graph]
...and	Terrorism > Collective Political Violence in the 1990s without Excessive Targeting of Civilians (inverse)	33%	[plot \| correlate \| graph]
...and	Health > Private expenditure on health as % of total expenditure on health (inverse)	33%	[plot \| correlate \| graph]
...and	Democracy > Female candidacy (inverse)	33%	[plot \| correlate \| graph]
...and	Media > Newspapers (inverse)	33%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Milk products excl butter cheese (inverse)	33%	[plot \| correlate \| graph]
...and	Economy > Innovation	33%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of semiconductors and related devices (inverse)	33%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Prefabricated buildings	32%	[plot \| correlate \| graph]
...and	Health > Tobacco > Adult male smokers (inverse)	32%	[plot \| correlate \| graph]
...and	Education > Mathematical literacy	32%	[plot \| correlate \| graph]
...and	Environment > Urban SO2 concentration (inverse)	32%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Knit crochet fabrics (inverse)	32%	[plot \| correlate \| graph]
...and	Education > Scientific literacy	32%	[plot \| correlate \| graph]
	Average:	38%

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 divorces per 100 marriages. Data for 2000.

SOURCE: OECD

Correlations > People Statistics > Divorces per 100 marriages

Correlations between People > Divorces per 100 marriages ...

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