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 3013700 Average

64.7

Averages

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76.0 City-Wide
82.9 Brooklyn
64.7 Tract

Census Tract 3013700

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Injury ER Visit Rate Population (2011-2013)
All 64.7 9,337

Sex

Female 57.4 5,104
Male 87.9 4,221

Race/Ethnicity

Asian/Pacific Islander 98.5 325
Black 344.3 549
Hispanic 59.5 2,200
White 40.9 5,814

Age

0-14 years 121.2 1,180
15-24 years 103.2 911
25-34 years 58.3 1,836
35-44 years 31.8 2,141
45-54 years 54.3 1,086
55-64 years 62.0 1,065
65-74 years 61.3 604
75+ years 64.2 467
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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.