NationMaster - Correlations > Health > Children Underweight Rate

	Variable	Strength
...and	Health > Nutrition > % of under-fives suffering from underweight severe	96%	[plot \| correlate \| graph]
...and	Health > Nutrition > % of under-fives suffering from underweight moderate & severe	88%	[plot \| correlate \| graph]
...and	Education > School life expectancy > Female (inverse)	62%	[plot \| correlate \| graph]
...and	Health > Births with health staff (inverse)	62%	[plot \| correlate \| graph]
...and	People > Women > Skilled attendant at delivery % (inverse)	61%	[plot \| correlate \| graph]
...and	Health > Nutrition > % of under-fives suffering from stunting moderate & severe	61%	[plot \| correlate \| graph]
...and	Education > School life expectancy > Total (inverse)	59%	[plot \| correlate \| graph]
...and	Agriculture > Production > Peanut	52%	[plot \| correlate \| graph]
...and	Agriculture > Area > Peanut	51%	[plot \| correlate \| graph]
...and	Economy > Population under $2 a day	51%	[plot \| correlate \| graph]
...and	People > Gender development (inverse)	50%	[plot \| correlate \| graph]
...and	Education > Enrolment ratio > Secondary level (inverse)	50%	[plot \| correlate \| graph]
...and	Health > Nutrition > % of under-fives suffering from wasting moderate & severe	48%	[plot \| correlate \| graph]
...and	People > Women > Antenatal care coverage % (inverse)	48%	[plot \| correlate \| graph]
...and	People > Persons per room	46%	[plot \| correlate \| graph]
...and	Economy > Human Development Index (inverse)	46%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Pearls precious stones	45%	[plot \| correlate \| graph]
...and	People > Urbanization (inverse)	44%	[plot \| correlate \| graph]
...and	Agriculture > Labor share	43%	[plot \| correlate \| graph]
...and	Health > Probability of dying before 5 > Females	42%	[plot \| correlate \| graph]
...and	People > Gender empowerment (inverse)	42%	[plot \| correlate \| graph]
...and	Labor > Industrial workers > Male (inverse)	42%	[plot \| correlate \| graph]
...and	People > Percentage living in rural areas.	42%	[plot \| correlate \| graph]
...and	People > Percentage living in urban areas (inverse)	42%	[plot \| correlate \| graph]
...and	Health > Tobacco > Young male smokers (inverse)	41%	[plot \| correlate \| graph]
...and	Health > Tobacco > Young female smokers (inverse)	41%	[plot \| correlate \| graph]
...and	Education > Primary school girls out of school	41%	[plot \| correlate \| graph]
...and	Education > School life expectancy > Male (inverse)	41%	[plot \| correlate \| graph]
...and	Health > Measles immunization (inverse)	41%	[plot \| correlate \| graph]
...and	Labor > Agricultural workers > Female	41%	[plot \| correlate \| graph]
...and	People > Urbanization in 1975 (inverse)	40%	[plot \| correlate \| graph]
...and	People > Urbanization in 2015 (inverse)	40%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Synthetic organic colour agents	40%	[plot \| correlate \| graph]
...and	Health > Nutrition > % of children who are still breastfeeding 20-23 months	40%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Iron ore concentrates	40%	[plot \| correlate \| graph]
...and	Education > Average years of schooling of adults (inverse)	40%	[plot \| correlate \| graph]
...and	Health > Infant mortality rate	40%	[plot \| correlate \| graph]
...and	Health > Contraception (inverse)	39%	[plot \| correlate \| graph]
...and	Economy > Technological achievement (inverse)	39%	[plot \| correlate \| graph]
...and	Health > % of population using adequate sanitation facilities > Total (inverse)	38%	[plot \| correlate \| graph]
...and	Health > Total fertility rate	38%	[plot \| correlate \| graph]
...and	People > Women > Maternal mortality ratio > reported	38%	[plot \| correlate \| graph]
...and	Language > English speakers	38%	[plot \| correlate \| graph]
...and	Health > Intestinal diseases death rate	37%	[plot \| correlate \| graph]
...and	Labor > Female decision makers (inverse)	36%	[plot \| correlate \| graph]
...and	Education > Tertiary enrollment (inverse)	36%	[plot \| correlate \| graph]
...and	Economy > World Trade > Imports > Jute bast fibre raw retd	36%	[plot \| correlate \| graph]
...and	Health > % immunized 1-year-old children > Measles (inverse)	36%	[plot \| correlate \| graph]
...and	People > Women > Contraceptive prevalence % (inverse)	36%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Floor coverings etc	36%	[plot \| correlate \| graph]
	Average:	46%

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: Children under 5 severely underweight, according to UNICEF estimates.

SOURCE: UNICEF

Correlations > Health Statistics > Children Underweight Rate

Correlations between Health > Children Underweight Rate ...

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