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 4003300 Average

78.6

Averages

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76.0 City-Wide
51.9 Queens
78.6 Tract

Census Tract 4003300

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Injury ER Visit Rate Population (2011-2013)
All 78.6 6,974

Sex

Female 82.0 3,413
Male 98.6 3,561

Race/Ethnicity

Asian/Pacific Islander 13.8 3,119
Black 236.0 445
Hispanic 77.6 2,024
White 138.0 1,283

Age

0-14 years 97.4 1,037
15-24 years 49.1 1,609
25-34 years 59.3 1,803
35-44 years 66.6 946
45-54 years 130.6 674
55-64 years 87.9 535
65-74 years 134.5 238
75+ years 250.0 124
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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.