NationMaster - Correlations > Labor > Researchers in labor force

	Variable	Strength
...and	Economy > Research and development personnel	96%	[plot \| correlate \| graph]
...and	Economy > Technological achievement	74%	[plot \| correlate \| graph]
...and	Media > Commercial share of broadcasting revenue (inverse)	69%	[plot \| correlate \| graph]
...and	Economy > Technology index	68%	[plot \| correlate \| graph]
...and	Media > Public share of broadcasting revenue	67%	[plot \| correlate \| graph]
...and	Economy > Business spending in research and development	61%	[plot \| correlate \| graph]
...and	People > Female population > Age 35-39 > % of the total (inverse)	59%	[plot \| correlate \| graph]
...and	Economy > Research and development spending	57%	[plot \| correlate \| graph]
...and	People > Total population > Age 35-39 > % of the total (inverse)	55%	[plot \| correlate \| graph]
...and	Economy > Growth competitiveness score	55%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 55-59	54%	[plot \| correlate \| graph]
...and	Internet > Communication technology patents	54%	[plot \| correlate \| graph]
...and	Education > Geographical aptitude results (inverse)	52%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 60-64	51%	[plot \| correlate \| graph]
...and	People > Male population > Age 35-39 > % of the total (inverse)	51%	[plot \| correlate \| graph]
...and	Education > Primary school girls out of school (inverse)	48%	[plot \| correlate \| graph]
...and	Religion > Catholics as percentage (inverse)	47%	[plot \| correlate \| graph]
...and	Health > % immunized 1-year-old children > Measles	44%	[plot \| correlate \| graph]
...and	Education > Female enrolment share > Primary level	43%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 50-54	43%	[plot \| correlate \| graph]
...and	Lifestyle > Job priority for men during recession (inverse)	42%	[plot \| correlate \| graph]
...and	Health > Breast cancer incidence (inverse)	42%	[plot \| correlate \| graph]
...and	People > Male population > Age 55-59 > % of the total	41%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of pulpwood and woodpulp	41%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 55-59	41%	[plot \| correlate \| graph]
...and	People > Total population > Age 55-59 > % of the total	41%	[plot \| correlate \| graph]
...and	Education > Young shorttext readers	40%	[plot \| correlate \| graph]
...and	People > Female population > Age 55-59 > % of the total	39%	[plot \| correlate \| graph]
...and	Food > Wine consumption (inverse)	38%	[plot \| correlate \| graph]
...and	Crime > Prisoners > Per capita (inverse)	38%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 50-54	38%	[plot \| correlate \| graph]
...and	Economy > Innovation	38%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Women aged 45-49	38%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 45-49	37%	[plot \| correlate \| graph]
...and	Crime > Prisoners > Pre-trial detainees (inverse)	36%	[plot \| correlate \| graph]
...and	Education > Educational attainment > Tertiary	36%	[plot \| correlate \| graph]
...and	Labor > Economic activity > Both sexes aged 60-64	35%	[plot \| correlate \| graph]
...and	People > One person households	35%	[plot \| correlate \| graph]
...and	Food > Alcohol consumption > 1960 (inverse)	35%	[plot \| correlate \| graph]
...and	Lifestyle > Forced retirement during recession (inverse)	35%	[plot \| correlate \| graph]
...and	People > Gender development	34%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Pulp and waste paper	34%	[plot \| correlate \| graph]
...and	Health > Measles immunization	34%	[plot \| correlate \| graph]
...and	Geography > Forested Land	33%	[plot \| correlate \| graph]
...and	Religion > Church attendance (inverse)	33%	[plot \| correlate \| graph]
...and	Labor > Female economic activity	33%	[plot \| correlate \| graph]
...and	Education > Enrolment ratio > Secondary level	33%	[plot \| correlate \| graph]
...and	Lifestyle > Undesirable neighbours > Drug addicts	33%	[plot \| correlate \| graph]
...and	Education > Expected duration of education for all students	33%	[plot \| correlate \| graph]
...and	Economy > Trade with US > US imports of telecommunications equipment	32%	[plot \| correlate \| graph]
	Average:	45%

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 researchers per 10000 in the labour force (1999).

SOURCE: OECD

Correlations > Labor Statistics > Researchers in labor force

Correlations between Labor > Researchers in labor force ...

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