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 1012600 Average

48.9

Averages

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76.0 City-Wide
65.8 Manhattan
48.9 Tract

Census Tract 1012600

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Injury ER Visit Rate Population (2011-2013)
All 48.9 33,915

Sex

Female 44.5 20,884
Male 73.7 13,029

Race/Ethnicity

Asian/Pacific Islander 30.7 1,889
Black 796.8 315
Hispanic 154.9 1,924
White 23.8 29,286

Age

0-14 years 107.7 2,860
15-24 years 108.9 1,965
25-34 years 31.1 9,027
35-44 years 50.7 4,379
45-54 years 56.7 3,439
55-64 years 49.7 3,820
65-74 years 27.3 4,253
75+ years 32.1 4,117
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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.