New York City Health Atlas


The goal of the New York City Health Atlas is to make available at multiple geographic levels (census tract, zip code, community district, and borough) a set of health outcome measures by race and ethnicity, gender, and age. By presenting these health data in an easily accessible fashion, we aimed to create a resource that could help New York City leaders, social service agencies, researchers, and residents identify key health concerns in their communities, compare their performance with peer communities, and galvanize health improvement efforts across the city.

The New York City Health Atlas was created by the Department of Population Health at NYU Langone Health, in partnership with the New York City Department of Health and Mental Hygiene, Bureau of Vital Statistics, and with financial support from the New York Community Trust and NYU Langone Health’s community service plan.

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.