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 1016800 Average

118.9

Averages

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76.0 City-Wide
65.8 Manhattan
118.9 Tract

Census Tract 1016800

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Injury ER Visit Rate Population (2011-2013)
All 118.9 15,151

Sex

Female 131.9 8,316
Male 164.5 6,832

Race/Ethnicity

Asian/Pacific Islander 105.9 661
Black 143.4 4,380
Hispanic 56.4 7,142
White 206.6 2,532

Age

0-14 years 129.0 3,148
15-24 years 137.5 2,014
25-34 years 135.1 2,014
35-44 years 139.3 1,450
45-54 years 108.5 2,259
55-64 years 117.7 1,657
65-74 years 92.8 1,099
75+ years 68.5 1,504
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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.