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 4035700 Average

85.2

Averages

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76.0 City-Wide
51.9 Queens
85.2 Tract

Census Tract 4035700

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Injury ER Visit Rate Population (2011-2013)
All 85.2 13,849

Sex

Female 78.1 6,967
Male 114.2 6,881

Race/Ethnicity

Asian/Pacific Islander 149.5 1,264
Black 60.3 4,162
Hispanic 59.4 6,734
White 220.8 1,531

Age

0-14 years 132.0 1,978
15-24 years 93.6 1,784
25-34 years 112.1 1,935
35-44 years 90.7 1,765
45-54 years 66.2 2,129
55-64 years 45.7 2,277
65-74 years 78.3 741
75+ years 59.5 1,211
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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.