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 4008300 Average

76.2

Averages

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76.0 City-Wide
51.9 Queens
76.2 Tract

Census Tract 4008300

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Injury ER Visit Rate Population (2011-2013)
All 76.2 11,385

Sex

Female 76.6 5,486
Male 90.9 5,899

Race/Ethnicity

Asian/Pacific Islander 51.5 1,533
Black 121.2 1,114
Hispanic 48.1 5,196
White 96.1 3,153

Age

0-14 years 62.3 2,392
15-24 years 73.0 1,809
25-34 years 62.5 2,448
35-44 years 51.5 2,037
45-54 years 91.1 1,186
55-64 years 111.6 735
65-74 years 91.3 668
75+ years 747.6 103
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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.