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Correlations > People Statistics > Age structure > 0-14 years

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Correlations between People > Age structure > 0-14 years ...

Variable Strength
...and  People > Female population > Age 10-14 > % of the total 94% [plot | correlate | graph]
...and  People > Total population > Age 10-14 > % of the total 93% [plot | correlate | graph]
...and  People > Male population > Age 10-14 > % of the total 92% [plot | correlate | graph]
...and  People > Age structure > 15-64 years (inverse) 85% [plot | correlate | graph]
...and  People > Female population > Age 50-54 > % of the total (inverse) 83% [plot | correlate | graph]
...and  Health > Total fertility rate 82% [plot | correlate | graph]
...and  Health > Dependency ratio per 100 82% [plot | correlate | graph]
...and  People > Total population > Age 50-54 > % of the total (inverse) 82% [plot | correlate | graph]
...and  People > Total population > Age 55-59 > % of the total (inverse) 80% [plot | correlate | graph]
...and  People > Total population > Age 45-49 > % of the total (inverse) 79% [plot | correlate | graph]
...and  People > Female population > Age 45-49 > % of the total (inverse) 79% [plot | correlate | graph]
...and  Education > Enrolment ratio > Secondary level (inverse) 78% [plot | correlate | graph]
...and  People > Female population > Age 55-59 > % of the total (inverse) 77% [plot | correlate | graph]
...and  People > Male population > Age 65-69 > % of the total (inverse) 77% [plot | correlate | graph]
...and  Health > Intestinal diseases death rate 77% [plot | correlate | graph]
...and  People > Gender development (inverse) 76% [plot | correlate | graph]
...and  People > Total population > Age 65-69 > % of the total (inverse) 75% [plot | correlate | graph]
...and  People > Male population > Age 70-74 > % of the total (inverse) 75% [plot | correlate | graph]
...and  People > Total population > Age 70-74 > % of the total (inverse) 75% [plot | correlate | graph]
...and  People > Male population > Age 50-54 > % of the total (inverse) 75% [plot | correlate | graph]
...and  People > Male population > Age 55-59 > % of the total (inverse) 74% [plot | correlate | graph]
...and  People > Total population > Age 75-79 > % of the total (inverse) 73% [plot | correlate | graph]
...and  People > Female population > Age 70-74 > % of the total (inverse) 72% [plot | correlate | graph]
...and  People > Male population > Age 75-79 > % of the total (inverse) 72% [plot | correlate | graph]
...and  People > Male population > Age 45-49 > % of the total (inverse) 72% [plot | correlate | graph]
...and  People > Female population > Age 15-19 > % of the total 72% [plot | correlate | graph]
...and  Economy > Human Development Index (inverse) 72% [plot | correlate | graph]
...and  People > Total population > Age 60-64 > % of the total (inverse) 71% [plot | correlate | graph]
...and  People > Female population > Age 75-79 > % of the total (inverse) 71% [plot | correlate | graph]
...and  Health > Healthy life expectancy at birth, years > Females (inverse) 71% [plot | correlate | graph]
...and  People > Total population > Age 15-19 > % of the total 70% [plot | correlate | graph]
...and  People > Total population > Age 40-44 > % of the total (inverse) 70% [plot | correlate | graph]
...and  People > Female population > Age 65-69 > % of the total (inverse) 70% [plot | correlate | graph]
...and  Health > Probability of reaching 65 > Female (inverse) 69% [plot | correlate | graph]
...and  People > Male population > Age 15-19 > % of the total 69% [plot | correlate | graph]
...and  Labor > Economic activity > Men aged 65 plus 68% [plot | correlate | graph]
...and  People > Female population > Age 60-64 > % of the total (inverse) 68% [plot | correlate | graph]
...and  Education > School life expectancy > Female (inverse) 68% [plot | correlate | graph]
...and  People > Male population > Age 60-64 > % of the total (inverse) 68% [plot | correlate | graph]
...and  Health > Healthy life expectancy at birth, years > Total population (inverse) 68% [plot | correlate | graph]
...and  People > Female population > Age 40-44 > % of the total (inverse) 68% [plot | correlate | graph]
...and  Education > Average years of schooling of adults (inverse) 68% [plot | correlate | graph]
...and  Education > School life expectancy > Total (inverse) 68% [plot | correlate | graph]
...and  People > Projected population growth 67% [plot | correlate | graph]
...and  People > Female population > Age 80-84 > % of the total (inverse) 66% [plot | correlate | graph]
...and  Health > Life expectancy at birth, years > Females (inverse) 66% [plot | correlate | graph]
...and  Economy > Technological achievement (inverse) 65% [plot | correlate | graph]
...and  Labor > Economic activity > Both sexes aged 65 plus 64% [plot | correlate | graph]
...and  People > Total population > Age 80-84 > % of the total (inverse) 64% [plot | correlate | graph]
...and  Health > Healthy life expectancy at birth, years > Males (inverse) 64% [plot | correlate | graph]
Average: 74%

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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