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 3090800 Average

236.0

Averages

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76.0 City-Wide
82.9 Brooklyn
236.0 Tract

Census Tract 3090800

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Injury ER Visit Rate Population (2011-2013)
All 236.0 10,444

Sex

Female 181.1 7,163
Male 471.0 3,272

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 195.2 7,806
Hispanic 261.7 2,373
White 0.0 172

Age

0-14 years 258.7 2,145
15-24 years 214.9 1,978
25-34 years 210.4 2,025
35-44 years 188.0 1,739
45-54 years 264.9 1,155
55-64 years 494.5 451
65-74 years 172.1 639
75+ years 343.2 271
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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.