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 4063200 Average

52.9

Averages

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76.0 City-Wide
51.9 Queens
52.9 Tract

Census Tract 4063200

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Injury ER Visit Rate Population (2011-2013)
All 52.9 5,995

Sex

Female 49.3 3,712
Male 81.9 2,283

Race/Ethnicity

Asian/Pacific Islander 0.0 71
Black 24.7 5,700
Hispanic 0.0 82
White 0.0 13

Age

0-14 years 70.3 1,123
15-24 years 60.3 780
25-34 years 119.7 401
35-44 years 49.6 867
45-54 years 42.5 682
55-64 years 24.0 1,209
65-74 years 36.9 650
75+ years 65.7 274
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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.