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 4018200 Average

80.9

Averages

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76.0 City-Wide
51.9 Queens
80.9 Tract

Census Tract 4018200

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Injury ER Visit Rate Population (2011-2013)
All 80.9 6,202

Sex

Female 71.0 3,464
Male 118.5 2,735

Race/Ethnicity

Asian/Pacific Islander 138.4 448
Black 53.9 3,471
Hispanic 82.2 1,485
White 0.0 12

Age

0-14 years 133.2 991
15-24 years 85.4 890
25-34 years 99.6 894
35-44 years 67.4 876
45-54 years 66.4 964
55-64 years 50.8 826
65-74 years 42.7 468
75+ years 69.4 288
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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.