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Correlations > Crime Statistics > Suicide rates in ages 45-54

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Showing latest available data.

Correlations between Crime > Suicide rates in ages 45-54 ...

Variable Strength
...and  Crime > Suicide rates in ages 55-64 94% [plot | correlate | graph]
...and  Crime > Suicide rates in ages 35-44 75% [plot | correlate | graph]
...and  Crime > Suicide rates in ages 65-74 72% [plot | correlate | graph]
...and  Health > Suicide rate > Females 71% [plot | correlate | graph]
...and  Health > Suicide rate > Males 67% [plot | correlate | graph]
...and  Food > Coffee consumption 56% [plot | correlate | graph]
...and  Labor > Employment rate of lesser educated women 56% [plot | correlate | graph]
...and  People > Size of houses (inverse) 54% [plot | correlate | graph]
...and  Labor > Female economic activity growth (inverse) 52% [plot | correlate | graph]
...and  Environment > Environmental agreement compliance 50% [plot | correlate | graph]
...and  Lifestyle > Confidence in social institutions > Legal system 50% [plot | correlate | graph]
...and  Economy > Population below median income (inverse) 48% [plot | correlate | graph]
...and  Crime > Property crime victims (inverse) 48% [plot | correlate | graph]
...and  Crime > Suicide rates in ages above 75 44% [plot | correlate | graph]
...and  Education > Young shorttext readers 43% [plot | correlate | graph]
...and  Health > Suicide rate > Middle aged 43% [plot | correlate | graph]
...and  Religion > Church attendance (inverse) 38% [plot | correlate | graph]
...and  Education > Proportion of 17 year olds in secondary education 35% [plot | correlate | graph]
...and  Education > Proportion of 17 year olds in tertiary education (inverse) 35% [plot | correlate | graph]
...and  Crime > Suicide rates in ages 25-34 35% [plot | correlate | graph]
...and  Media > Public funding of broadcasters revenue per capita 35% [plot | correlate | graph]
...and  Education > Young longtext readers (inverse) 35% [plot | correlate | graph]
...and  People > Male population > Age 50-54 > % of the total 35% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 35-39 34% [plot | correlate | graph]
...and  Crime > Total crime victims (inverse) 34% [plot | correlate | graph]
...and  Crime > Death penalty > Abolition date (inverse) 34% [plot | correlate | graph]
...and  Economy > Government spending in research and development 33% [plot | correlate | graph]
...and  Labor > Unemployment benefit replacement 33% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 30-34 33% [plot | correlate | graph]
...and  Economy > Income distribution > Richest 20% (inverse) 32% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 45-49 32% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Alcoholic beverages (inverse) 32% [plot | correlate | graph]
...and  Education > Proportion of 19 year olds in secondary education 32% [plot | correlate | graph]
...and  Economy > Inflation > Duration 1990-2000 (inverse) 32% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 40-44 32% [plot | correlate | graph]
...and  Economy > Income distribution > Poorest 20% 31% [plot | correlate | graph]
...and  Economy > Income distribution > Richest 10% (inverse) 31% [plot | correlate | graph]
...and  Agriculture > Organic cropland (inverse) 30% [plot | correlate | graph]
...and  People > Total population > Age 50-54 > % of the total 30% [plot | correlate | graph]
...and  Education > Educational attainment > Senior secondary 29% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 50-54 28% [plot | correlate | graph]
...and  Education > Public spending per student > Secondary level 28% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 35-39 28% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 40-44 28% [plot | correlate | graph]
...and  Lifestyle > Happiness level > Quite happy 27% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of pulpwood and woodpulp 27% [plot | correlate | graph]
...and  Economy > Macroeconomic environment index 27% [plot | correlate | graph]
...and  Economy > Income distribution > Poorest 10% 27% [plot | correlate | graph]
...and  Education > Proportion of 18 year olds in secondary education 27% [plot | correlate | graph]
...and  Labor > Economic activity > Women aged 45-49 27% [plot | correlate | graph]
Average: 40%

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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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: Suicide rates per 100,000 people in the given age group, late 1990s.

SOURCE: GECD Society at a Glance 2001, Statistical Annex Table D3

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