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 4080900 Average

35.0

Averages

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76.0 City-Wide
51.9 Queens
35.0 Tract

Census Tract 4080900

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Injury ER Visit Rate Population (2011-2013)
All 35.0 22,031

Sex

Female 33.0 12,069
Male 47.1 9,960

Race/Ethnicity

Asian/Pacific Islander 18.5 6,050
Black 137.0 1,496
Hispanic 89.6 2,154
White 17.7 12,163

Age

0-14 years 32.4 5,028
15-24 years 45.5 2,419
25-34 years 43.7 2,908
35-44 years 44.0 2,203
45-54 years 25.1 3,820
55-64 years 31.6 2,690
65-74 years 32.0 1,280
75+ years 31.3 1,663
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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.