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 3046800 Average

33.0

Averages

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76.0 City-Wide
82.9 Brooklyn
33.0 Tract

Census Tract 3046800

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Injury ER Visit Rate Population (2011-2013)
All 33.0 6,032

Sex

Female 28.2 3,720
Male 54.5 2,311

Race/Ethnicity

Asian/Pacific Islander 0.0 88
Black 0.0 16
Hispanic 0.0 48
White 18.9 5,859

Age

0-14 years 16.4 2,505
15-24 years 46.4 647
25-34 years 42.1 737
35-44 years 27.5 1,018
45-54 years 81.0 247
55-64 years 45.6 482
65-74 years 94.3 159
75+ years 56.1 214
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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.