New York City Health Atlas

Non-emergent ER Visits

Compare This Metric


Estimated number of emergency room visits for which the patient could have been treated in primary care or non-emergency setting.


Number of non-emergent ER visits per 1,000 emergency room visits.


Statewide Planning and Research Cooperative System (SPARCS) Outpatient Data, 2011-2013.

Years of Data


Additional Resources

City Wide Average


Zip Code 10030 Average



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220.6 City-Wide
195.5 Manhattan
410.6 Zip Code 10030

Zip Code 10030

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Non-emergent ER Visit Rate Population (2011-2013)
All 410.6 86,485


Female 500.9 45,944
Male 351.4 40,537


Asian/Pacific Islander 99.2 2,077
Black 458.4 55,719
Hispanic 308.1 19,192
White 116.0 7,330


0-14 years 487.4 15,340
15-24 years 301.1 13,220
25-34 years 275.7 15,450
35-44 years 352.4 12,805
45-54 years 521.8 12,522
55-64 years 529.0 8,620
65-74 years 480.7 5,261
75+ years 516.5 3,216
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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.