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 4031700 Average

60.5

Averages

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76.0 City-Wide
51.9 Queens
60.5 Tract

Census Tract 4031700

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Injury ER Visit Rate Population (2011-2013)
All 60.5 17,475

Sex

Female 57.1 9,664
Male 85.1 7,804

Race/Ethnicity

Asian/Pacific Islander 97.9 1,317
Black 318.8 618
Hispanic 123.7 2,740
White 30.3 12,005

Age

0-14 years 93.1 2,641
15-24 years 85.0 1,988
25-34 years 62.2 2,747
35-44 years 58.3 2,334
45-54 years 39.2 3,061
55-64 years 50.8 1,852
65-74 years 41.3 1,357
75+ years 45.3 1,457
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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.