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 4098700 Average

32.6

Averages

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76.0 City-Wide
51.9 Queens
32.6 Tract

Census Tract 4098700

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Injury ER Visit Rate Population (2011-2013)
All 32.6 8,233

Sex

Female 26.3 4,492
Male 44.6 3,741

Race/Ethnicity

Asian/Pacific Islander 38.6 1,113
Black 0.0 56
Hispanic 82.1 889
White 11.2 6,178

Age

0-14 years 24.0 1,664
15-24 years 58.1 757
25-34 years 30.8 1,232
35-44 years 35.9 1,085
45-54 years 33.1 1,180
55-64 years 25.5 979
65-74 years 27.0 815
75+ years 40.7 516
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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.