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 5015601 Average

101.2

Averages

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76.0 City-Wide
108.7 Staten Island
101.2 Tract

Census Tract 5015601

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Injury ER Visit Rate Population (2011-2013)
All 101.2 18,294

Sex

Female 113.8 9,568
Male 134.1 8,724

Race/Ethnicity

Asian/Pacific Islander 129.0 411
Black 0.0 7
Hispanic 173.9 1,748
White 70.6 15,925

Age

0-14 years 147.7 2,464
15-24 years 112.1 2,694
25-34 years 168.0 1,863
35-44 years 103.4 2,485
45-54 years 86.1 2,672
55-64 years 70.7 2,587
65-74 years 45.9 2,199
75+ years 78.4 1,301
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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.