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

3709 (District 209) Average

321.6

Averages

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220.6 City-Wide
340.5 Bronx
321.6 3709 (District 209)

3709 (District 209)

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Non-emergent ER Visit Rate Population (2011-2013)
All 321.6 556,308

Sex

Female 393.9 296,602
Male 267.6 259,706

Race/Ethnicity

Asian/Pacific Islander 153.5 38,382
Black 315.0 168,736
Hispanic 244.6 318,750
White 876.2 14,079

Age

0-14 years 348.5 119,490
15-24 years 229.4 84,508
25-34 years 270.5 83,818
35-44 years 308.6 71,424
45-54 years 365.8 75,572
55-64 years 395.0 60,340
65-74 years 387.6 35,466
75+ years 308.8 25,689
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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.