This is the Web site of the NYU City Health Atlas, a project of the New York University School of Medicine (NYUSOM), supported by the New York Community Trust (NYCT).
NYU School of Medicine is committed to respecting your online privacy and recognize your need for appropriate protection and management of any personally identifiable information ("personal information") you share with us.
Personal Information means any information that may be used to identify an individual, including, but not limited to, a first and last name, a home or other physical address and an email address or other contact information, whether at work or at home. In general, you can visit the Atlas web pages without telling us who you are or revealing any personal information about yourself. NYUSOM does not rent, sell, or share personal information about you with other people or organizations except to provide information you have requested.
If you feel that this site is not following its stated information policy, you may contact us by emailing or calling our offices at (646) 501-3531.
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.