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 4012602 Average

77.4

Averages

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76.0 City-Wide
51.9 Queens
77.4 Tract

Census Tract 4012602

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Injury ER Visit Rate Population (2011-2013)
All 77.4 7,326

Sex

Female 73.8 3,782
Male 97.9 3,544

Race/Ethnicity

Asian/Pacific Islander 76.3 865
Black 264.8 627
Hispanic 35.5 4,390
White 179.2 664

Age

0-14 years 96.2 1,278
15-24 years 80.6 1,092
25-34 years 80.7 1,289
35-44 years 76.4 785
45-54 years 78.3 996
55-64 years 55.8 985
65-74 years 56.6 530
75+ years 85.8 338
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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.