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 1013500 Average

99.6

Averages

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76.0 City-Wide
65.8 Manhattan
99.6 Tract

Census Tract 1013500

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Injury ER Visit Rate Population (2011-2013)
All 99.6 17,506

Sex

Female 99.9 8,976
Male 129.7 8,529

Race/Ethnicity

Asian/Pacific Islander 19.4 2,992
Black 199.8 1,752
Hispanic 74.8 6,683
White 101.3 5,955

Age

0-14 years 119.2 1,955
15-24 years 95.7 2,361
25-34 years 97.7 3,591
35-44 years 85.6 3,014
45-54 years 116.2 2,066
55-64 years 115.1 1,807
65-74 years 76.6 1,683
75+ years 96.4 1,017
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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.