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Correlations > People Statistics > Age structure > 15-64 years

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Correlations between People > Age structure > 15-64 years ...

Variable Strength
...and  Health > Dependency ratio per 100 (inverse) 89% [plot | correlate | graph]
...and  People > Age structure > 0-14 years (inverse) 85% [plot | correlate | graph]
...and  Health > Total fertility rate (inverse) 80% [plot | correlate | graph]
...and  People > Total population > Age 45-49 > % of the total 76% [plot | correlate | graph]
...and  People > Female population > Age 10-14 > % of the total (inverse) 74% [plot | correlate | graph]
...and  People > Total population > Age 40-44 > % of the total 73% [plot | correlate | graph]
...and  People > Total population > Age 10-14 > % of the total (inverse) 73% [plot | correlate | graph]
...and  People > Male population > Age 45-49 > % of the total 72% [plot | correlate | graph]
...and  People > Male population > Age 10-14 > % of the total (inverse) 72% [plot | correlate | graph]
...and  Health > Intestinal diseases death rate (inverse) 71% [plot | correlate | graph]
...and  People > Total population > Age 50-54 > % of the total 70% [plot | correlate | graph]
...and  People > Female population > Age 45-49 > % of the total 69% [plot | correlate | graph]
...and  People > Male population > Age 40-44 > % of the total 69% [plot | correlate | graph]
...and  People > Female population > Age 40-44 > % of the total 67% [plot | correlate | graph]
...and  Education > Enrolment ratio > Secondary level 67% [plot | correlate | graph]
...and  People > Gender development 67% [plot | correlate | graph]
...and  People > Male population > Age 50-54 > % of the total 67% [plot | correlate | graph]
...and  Health > Probability of reaching 65 > Female 66% [plot | correlate | graph]
...and  Economy > Human Development Index 65% [plot | correlate | graph]
...and  Health > Probability of dying before 5 > Females (inverse) 65% [plot | correlate | graph]
...and  People > Female population > Age 50-54 > % of the total 64% [plot | correlate | graph]
...and  People > Total population > Age 35-39 > % of the total 63% [plot | correlate | graph]
...and  Health > Contraception 63% [plot | correlate | graph]
...and  Health > Healthy life expectancy at birth, years > Females 63% [plot | correlate | graph]
...and  People > Projected population growth (inverse) 62% [plot | correlate | graph]
...and  Energy > Traditional fuel consumption (inverse) 62% [plot | correlate | graph]
...and  Health > Healthy life expectancy at birth, years > Total population 61% [plot | correlate | graph]
...and  Health > Life expectancy at birth, years > Females 61% [plot | correlate | graph]
...and  Education > Primary school girls out of school (inverse) 60% [plot | correlate | graph]
...and  Health > Births with health staff 60% [plot | correlate | graph]
...and  Agriculture > Labor share (inverse) 59% [plot | correlate | graph]
...and  Health > Life expectancy at birth, years > Total population 58% [plot | correlate | graph]
...and  Health > Healthy life expectancy at birth, years > Males 58% [plot | correlate | graph]
...and  Health > Infant mortality rate (inverse) 58% [plot | correlate | graph]
...and  Health > Maternal mortality (inverse) 58% [plot | correlate | graph]
...and  Health > Probability of not reaching 40 (inverse) 58% [plot | correlate | graph]
...and  People > Women > Maternal mortality ratio > reported (inverse) 58% [plot | correlate | graph]
...and  Labor > Economic activity > Men aged 65 plus (inverse) 57% [plot | correlate | graph]
...and  People > Women > Maternal mortality ratio adjusted (inverse) 57% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 65 plus (inverse) 57% [plot | correlate | graph]
...and  People > Male population > Age 35-39 > % of the total 56% [plot | correlate | graph]
...and  Health > Life expectancy at birth, years > Males 55% [plot | correlate | graph]
...and  People > Women > Contraceptive prevalence % 55% [plot | correlate | graph]
...and  People > Female population > Age 35-39 > % of the total 55% [plot | correlate | graph]
...and  Education > School life expectancy > Total 55% [plot | correlate | graph]
...and  Education > School life expectancy > Female 55% [plot | correlate | graph]
...and  People > Women > Skilled attendant at delivery % 55% [plot | correlate | graph]
...and  Education > Pupils-teacher ratio > primary level (inverse) 54% [plot | correlate | graph]
...and  People > Male population > Age 55-59 > % of the total 54% [plot | correlate | graph]
...and  People > Total population > Age 55-59 > % of the total 54% [plot | correlate | graph]
Average: 64%

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: The distribution of the population according to age. Information is included by sex and age group (0-14 years, 15-64 years, 65 years and over). The age structure of a population affects a nation's key socioeconomic issues. Countries with young populations (high percentage under age 15) need to invest more in schools, while countries with older populations (high percentage ages 65 and over) need to invest more in the health sector. The age structure can also be used to help predict potential political issues. For example, the rapid growth of a young adult population unable to find employment can lead to unrest.

SOURCE: CIA World Factbook, 28 July 2005

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