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 4006202 Average

33.8

Averages

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76.0 City-Wide
51.9 Queens
33.8 Tract

Census Tract 4006202

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Injury ER Visit Rate Population (2011-2013)
All 33.8 20,473

Sex

Female 29.4 11,751
Male 45.9 8,721

Race/Ethnicity

Asian/Pacific Islander 42.3 1,420
Black 192.7 1,204
Hispanic 21.5 8,464
White 16.5 8,901

Age

0-14 years 32.9 4,136
15-24 years 43.1 2,462
25-34 years 47.0 2,403
35-44 years 29.8 3,089
45-54 years 31.4 2,838
55-64 years 37.7 1,992
65-74 years 32.5 1,354
75+ years 16.9 2,186
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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.