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 3097000 Average

101.8

Averages

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76.0 City-Wide
82.9 Brooklyn
101.8 Tract

Census Tract 3097000

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Injury ER Visit Rate Population (2011-2013)
All 101.8 4,978

Sex

Female 89.6 3,235
Male 180.8 1,737

Race/Ethnicity

Asian/Pacific Islander 0.0 9
Black 98.9 3,408
Hispanic 121.8 813
White 125.7 748

Age

0-14 years 142.1 943
15-24 years 149.5 555
25-34 years 94.3 742
35-44 years 92.1 673
45-54 years 71.1 914
55-64 years 81.1 592
65-74 years 51.8 425
75+ years 190.1 121
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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.