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 3016700 Average

36.9

Averages

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76.0 City-Wide
82.9 Brooklyn
36.9 Tract

Census Tract 3016700

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Injury ER Visit Rate Population (2011-2013)
All 36.9 15,075

Sex

Female 37.7 7,434
Male 41.6 7,641

Race/Ethnicity

Asian/Pacific Islander 42.2 687
Black 411.2 338
Hispanic 58.0 2,122
White 20.3 11,450

Age

0-14 years 50.9 2,476
15-24 years 49.3 1,583
25-34 years 38.5 2,646
35-44 years 28.3 2,582
45-54 years 27.9 2,293
55-64 years 29.4 2,044
65-74 years 29.1 824
75+ years 53.2 545
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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.