New York City Health Atlas

Injury ER Visits

Compare This Metric

Description

Number of emergency room visits for injuries, poisonings, or accidents.


Calculation

Number of ER visits for injuries per 1,000 population.


Source

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


Years of Data

2011-2013


Additional Resources

City Wide Average

76.0

Census Tract 4009700 Average

34.2

Averages

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76.0 City-Wide
51.9 Queens
34.2 Tract

Census Tract 4009700

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Injury ER Visit Rate Population (2011-2013)
All 34.2 10,746

Sex

Female 33.3 5,220
Male 42.9 5,526

Race/Ethnicity

Asian/Pacific Islander 182.5 263
Black 0.0 0
Hispanic 52.2 1,992
White 17.2 8,324

Age

0-14 years 72.5 841
15-24 years 38.5 1,637
25-34 years 21.5 2,935
35-44 years 25.8 1,668
45-54 years 47.2 932
55-64 years 35.2 1,023
65-74 years 29.0 794
75+ years 37.5 906
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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.