NationMaster - Correlations > Immigration > Asylum seekers acceptance rates

	Variable	Strength
...and	Education > Education spending (% of GDP)	57%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 30-34	54%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 30-34	48%	[plot \| correlate \| graph]
...and	Education > Female enrolment share > Secondary level	44%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 35-39	44%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 25-29	43%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Heavy drinkers (inverse)	43%	[plot \| correlate \| graph]
...and	Health > Dependency ratio per 100	42%	[plot \| correlate \| graph]
...and	Taxation > Total taxation as % of GDP	40%	[plot \| correlate \| graph]
...and	Labor > Trade union membership	39%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 35-39	38%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 25-29	35%	[plot \| correlate \| graph]
...and	Economy > Development assistance to LDCs	34%	[plot \| correlate \| graph]
...and	Health > Private expenditure on health as % of total expenditure on health (inverse)	33%	[plot \| correlate \| graph]
...and	Disasters > Tsunami > Total aid package (inverse)	33%	[plot \| correlate \| graph]
...and	Disasters > Tsunami > Funds pledged (inverse)	29%	[plot \| correlate \| graph]
...and	Education > Female enrolment share > Primary level	28%	[plot \| correlate \| graph]
...and	People > Age structure > 15-64 years (inverse)	28%	[plot \| correlate \| graph]
...and	Economy > Targeting of foreign aid	27%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for females	26%	[plot \| correlate \| graph]
...and	Immigration > Asylum seekers acceptance rates > 1990-99	26%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Misc non-ferrous base metal (inverse)	25%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Political extremists (inverse)	25%	[plot \| correlate \| graph]
...and	Transportation > Cars (inverse)	25%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Worn clothing etc (inverse)	25%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Computer equipment (inverse)	24%	[plot \| correlate \| graph]
...and	People > Male population > Age 60-64 > % of the total	24%	[plot \| correlate \| graph]
...and	Media > Phone subscribers	23%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Fixed vegetables oils not soft (inverse)	23%	[plot \| correlate \| graph]
...and	People > Percentage living in rural areas. (inverse)	23%	[plot \| correlate \| graph]
...and	People > Percentage living in urban areas	23%	[plot \| correlate \| graph]
...and	Health > Out-of-pocket expenditure as % of private health expenditure	23%	[plot \| correlate \| graph]
...and	People > Average size of households (inverse)	22%	[plot \| correlate \| graph]
...and	Energy > Traditional fuel consumption	22%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Man-made fibres nes wast (inverse)	22%	[plot \| correlate \| graph]
...and	People > Total population > Age 60-64 > % of the total	22%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Baby care toys games sport (inverse)	21%	[plot \| correlate \| graph]
...and	Labor > Employment rate of highly educated women	21%	[plot \| correlate \| graph]
...and	Health > Spending > Private (inverse)	21%	[plot \| correlate \| graph]
...and	Sports > Olympic medals > Silver > Sydney 2000 (inverse)	21%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 40-44	21%	[plot \| correlate \| graph]
...and	Media > Mobile phones	21%	[plot \| correlate \| graph]
...and	Sports > Olympic medals > Total > Sydney 2000 (inverse)	21%	[plot \| correlate \| graph]
...and	Lifestyle > Members of voluntary organisations > Environmental (inverse)	21%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 40-44	21%	[plot \| correlate \| graph]
...and	Military > Conventional arms imports (inverse)	21%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Silver platinum etc (inverse)	21%	[plot \| correlate \| graph]
...and	Environment > Threatened species > Mammal (inverse)	20%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Valves transistors etc (inverse)	20%	[plot \| correlate \| graph]
...and	Health > Prepaid plans as % of private expenditure on health (inverse)	20%	[plot \| correlate \| graph]
	Average:	29%

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: % of asylum seekers accepted between the years 1980 and 1989.

SOURCE: OECD

Correlations > Immigration Statistics > Asylum seekers acceptance rates > 1980-89

Correlations between Immigration > Asylum seekers acceptance rates > 1980-89 ...

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