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 2023100 Average



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220.6 City-Wide
340.5 Bronx
344.6 Tract

Census Tract 2023100

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Non-emergent ER Visit Rate Population (2011-2013)
All 344.6 4,278


Female 529.6 1,860
Male 225.1 2,417


Asian/Pacific Islander 0.0 0
Black 205.1 2,165
Hispanic 209.9 2,039
White 0.0 25


0-14 years 385.6 817
15-24 years 214.9 726
25-34 years 329.1 553
35-44 years 274.7 739
45-54 years 334.3 721
55-64 years 618.0 322
65-74 years 729.0 155
75+ years 282.7 237
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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.