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 4073100 Average

26.2

Averages

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76.0 City-Wide
51.9 Queens
26.2 Tract

Census Tract 4073100

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Injury ER Visit Rate Population (2011-2013)
All 26.2 4,426

Sex

Female 32.6 2,298
Male 31.5 2,127

Race/Ethnicity

Asian/Pacific Islander 17.5 1,027
Black 0.0 0
Hispanic 61.4 586
White 13.4 2,761

Age

0-14 years 39.1 792
15-24 years 22.9 611
25-34 years 48.5 392
35-44 years 23.0 695
45-54 years 14.5 758
55-64 years 34.9 372
65-74 years 13.0 460
75+ years 17.9 336
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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.