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

Averages

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220.6 City-Wide

City Wide

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Non-emergent ER Visit Rate Population (2011-2013)
All 220.6 24,793,148

Sex

Female 275.9 12,992,763
Male 181.2 11,800,384

Race/Ethnicity

Asian/Pacific Islander 80.5 3,205,606
Black 326.5 5,635,770
Hispanic 236.6 7,117,028
White 69.6 8,198,740

Age

0-14 years 248.0 4,432,550
15-24 years 165.4 3,451,377
25-34 years 164.4 4,281,903
35-44 years 197.9 3,482,038
45-54 years 265.9 3,329,632
55-64 years 279.9 2,751,495
65-74 years 277.9 1,656,906
75+ years 205.5 1,407,246
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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.