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


Manhattan Average



Hide Show

220.6 City-Wide
195.5 Manhattan


Hide Show

Non-emergent ER Visit Rate Population (2011-2013)
All 195.5 4,813,828


Female 238.2 2,546,750
Male 167.0 2,267,079


Asian/Pacific Islander 52.7 539,848
Black 394.8 622,276
Hispanic 267.7 1,232,866
White 50.6 2,293,407


0-14 years 258.3 600,090
15-24 years 151.7 621,318
25-34 years 110.8 1,063,630
35-44 years 168.3 711,258
45-54 years 258.3 612,636
55-64 years 261.2 544,184
65-74 years 249.7 358,100
75+ years 212.5 302,613
Download Table (.CSV)

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.