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 1018400 Average

106.5

Averages

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76.0 City-Wide
65.8 Manhattan
106.5 Tract

Census Tract 1018400

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Injury ER Visit Rate Population (2011-2013)
All 106.5 25,425

Sex

Female 103.1 13,625
Male 154.2 11,800

Race/Ethnicity

Asian/Pacific Islander 48.4 1,778
Black 111.8 8,017
Hispanic 57.8 13,757
White 459.4 1,513

Age

0-14 years 88.2 6,530
15-24 years 123.7 3,509
25-34 years 98.6 4,513
35-44 years 88.3 3,477
45-54 years 168.4 2,256
55-64 years 119.3 2,380
65-74 years 104.8 1,383
75+ years 100.1 1,359
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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.