New York City Health Atlas

Non-emergent ER Visits

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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


Census Tract 3018600 Average



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220.6 City-Wide
233.8 Brooklyn
89.6 Tract

Census Tract 3018600

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Non-emergent ER Visit Rate Population (2011-2013)
All 89.6 5,649


Female 104.8 3,073
Male 82.3 2,575


Asian/Pacific Islander 30.9 1,264
Black 0.0 25
Hispanic 213.8 683
White 30.2 3,644


0-14 years 95.0 947
15-24 years 106.5 554
25-34 years 81.0 840
35-44 years 107.4 801
45-54 years 85.2 810
55-64 years 115.4 624
65-74 years 86.6 439
75+ years 38.3 627
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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.