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 4005800 Average

42.6

Averages

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76.0 City-Wide
51.9 Queens
42.6 Tract

Census Tract 4005800

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Injury ER Visit Rate Population (2011-2013)
All 42.6 18,384

Sex

Female 35.0 10,162
Male 60.8 8,221

Race/Ethnicity

Asian/Pacific Islander 16.9 3,131
Black 353.0 694
Hispanic 29.8 8,088
White 30.5 5,864

Age

0-14 years 41.9 3,722
15-24 years 52.1 2,455
25-34 years 55.6 2,356
35-44 years 39.2 2,680
45-54 years 36.3 3,111
55-64 years 38.9 2,083
65-74 years 24.2 1,239
75+ years 55.5 721
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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.