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The New York City Health Atlas is a pilot project sponsored by the New York Community Trust to provide an interactive, web-based tool that presents health-related measures by demographics and geography to assist direct service providers and public health researchers easy access to data needed for program planning, funding requests, and evaluation.
The project was developed with input from faculty leadership of NYU Langone Medical Center’s Community Service Plan and direct service agencies located in Manhattan’s Community District 3.
Where possible, measures are calculated in four ways: as crude rates or percentages; crude rates by age; age-adjusted rates by sex; and age-adjusted rates by race/ethnicity (African-American/Black, Asian, Hispanic/Latino, White/non-Hispanic, and Other) for five geographies: city-wide; by borough; by zip code; by community district; and by census tract.
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.