New York City Health Atlas

Additional Resources

Births Deaths Childhood Health Health Conditions and Health Behaviors Access to and Quality of Care Mental Health and Substance Use Other

New York City OpenData

Data repository for the City of New York

American Community Survey / Census Data

Key data source for demography and social determinants of health

Correlation Is Not Causation

In statistics, correlation is a measure of association between two numeric variables. The strength of correlation between two variables is represented by the correlation coefficient, represented by the abbreviation r. Correlation coefficients range between -1 to 1.

Though the correlation coefficient indicates the strength of an association, it does not provide information about whether the change in one variable is caused by the other.

For example, if the correlation between adult smoking prevalence and child poverty is 0.7—a strong correlation—we cannot say either that adult smoking causes child poverty or, inversely, that child poverty causes smoking. We only know that as one of these variables increases, the other tends to increases.