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 4138501 Average

21.5

Averages

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76.0 City-Wide
51.9 Queens
21.5 Tract

Census Tract 4138501

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Injury ER Visit Rate Population (2011-2013)
All 21.5 13,331

Sex

Female 22.3 6,509
Male 26.8 6,822

Race/Ethnicity

Asian/Pacific Islander 3.7 7,860
Black 0.0 0
Hispanic 44.8 1,206
White 28.4 4,159

Age

0-14 years 21.1 2,421
15-24 years 23.0 1,823
25-34 years 29.6 1,486
35-44 years 21.0 1,669
45-54 years 19.3 2,489
55-64 years 20.4 1,273
65-74 years 18.3 1,148
75+ years 19.8 1,012
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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.