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 3049000 Average

71.8

Averages

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76.0 City-Wide
82.9 Brooklyn
71.8 Tract

Census Tract 3049000

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Injury ER Visit Rate Population (2011-2013)
All 71.8 18,159

Sex

Female 69.5 9,439
Male 94.7 8,719

Race/Ethnicity

Asian/Pacific Islander 36.8 3,068
Black 124.7 2,414
Hispanic 113.9 2,538
White 64.9 9,594

Age

0-14 years 92.8 4,082
15-24 years 78.1 2,229
25-34 years 53.4 3,482
35-44 years 57.6 2,484
45-54 years 73.9 2,044
55-64 years 66.7 1,935
65-74 years 54.1 1,147
75+ years 107.5 744
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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.