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 4053401 Average

37.2

Averages

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76.0 City-Wide
51.9 Queens
37.2 Tract

Census Tract 4053401

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Injury ER Visit Rate Population (2011-2013)
All 37.2 6,968

Sex

Female 37.1 3,912
Male 54.3 3,055

Race/Ethnicity

Asian/Pacific Islander 126.2 214
Black 17.6 6,372
Hispanic 269.6 204
White 0.0 56

Age

0-14 years 98.2 662
15-24 years 60.4 828
25-34 years 35.1 1,311
35-44 years 42.9 652
45-54 years 29.9 1,072
55-64 years 17.8 1,293
65-74 years 13.0 540
75+ years 13.3 600
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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.