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 1015100 Average

86.0

Averages

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76.0 City-Wide
65.8 Manhattan
86.0 Tract

Census Tract 1015100

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Injury ER Visit Rate Population (2011-2013)
All 86.0 23,821

Sex

Female 92.3 13,204
Male 114.7 10,615

Race/Ethnicity

Asian/Pacific Islander 14.6 4,589
Black 161.6 2,939
Hispanic 107.2 5,969
White 58.8 9,874

Age

0-14 years 73.0 3,864
15-24 years 117.5 2,416
25-34 years 74.5 5,517
35-44 years 71.2 3,720
45-54 years 121.0 2,769
55-64 years 97.1 2,255
65-74 years 65.7 1,948
75+ years 96.0 1,291
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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.