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 4002200 Average

71.8

Averages

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76.0 City-Wide
51.9 Queens
71.8 Tract

Census Tract 4002200

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Injury ER Visit Rate Population (2011-2013)
All 71.8 5,682

Sex

Female 70.5 2,965
Male 91.0 2,715

Race/Ethnicity

Asian/Pacific Islander 37.3 965
Black 748.0 127
Hispanic 51.9 2,984
White 58.4 1,491

Age

0-14 years 95.9 824
15-24 years 84.9 883
25-34 years 98.1 734
35-44 years 47.2 932
45-54 years 47.0 1,171
55-64 years 63.1 681
65-74 years 111.6 233
75+ years 69.7 201
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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.