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 1017000 Average

98.7

Averages

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76.0 City-Wide
65.8 Manhattan
98.7 Tract

Census Tract 1017000

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Injury ER Visit Rate Population (2011-2013)
All 98.7 24,197

Sex

Female 101.5 12,428
Male 135.7 11,758

Race/Ethnicity

Asian/Pacific Islander 21.3 3,328
Black 115.5 5,523
Hispanic 88.1 11,845
White 241.5 2,679

Age

0-14 years 148.0 3,195
15-24 years 106.6 3,105
25-34 years 99.7 3,801
35-44 years 98.3 3,112
45-54 years 107.5 3,434
55-64 years 107.5 2,585
65-74 years 57.0 2,265
75+ years 46.5 2,668
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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.