New York City Health Atlas

Non-emergent ER Visits

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Description

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


Calculation

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


Source

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


Years of Data

2011-2013


Additional Resources

City Wide Average

220.6

Queens Average

157.0

Averages

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220.6 City-Wide
157.0 Queens

Queens

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Non-emergent ER Visit Rate Population (2011-2013)
All 157.0 6,764,406

Sex

Female 200.4 3,485,388
Male 126.3 3,279,018

Race/Ethnicity

Asian/Pacific Islander 74.1 1,587,224
Black 207.0 1,189,050
Hispanic 182.9 1,873,744
White 58.2 1,834,162

Age

0-14 years 216.0 1,155,634
15-24 years 110.6 881,343
25-34 years 119.1 1,100,476
35-44 years 137.2 981,284
45-54 years 170.8 972,150
55-64 years 181.3 792,087
65-74 years 180.0 469,228
75+ years 133.8 412,203
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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.