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

Queens Average

51.9

Averages

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76.0 City-Wide
51.9 Queens

Queens

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Injury ER Visit Rate Population (2011-2013)
All 51.9 6,764,406

Sex

Female 50.2 3,485,388
Male 69.1 3,279,018

Race/Ethnicity

Asian/Pacific Islander 26.4 1,587,224
Black 80.2 1,189,050
Hispanic 56.4 1,873,744
White 50.6 1,834,162

Age

0-14 years 68.7 1,155,634
15-24 years 60.9 881,343
25-34 years 51.4 1,100,476
35-44 years 45.2 981,284
45-54 years 46.0 972,150
55-64 years 43.4 792,087
65-74 years 39.2 469,228
75+ years 47.9 412,203
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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.