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 3086200 Average

100.8

Averages

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76.0 City-Wide
82.9 Brooklyn
100.8 Tract

Census Tract 3086200

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Injury ER Visit Rate Population (2011-2013)
All 100.8 8,841

Sex

Female 95.3 5,037
Male 156.0 3,801

Race/Ethnicity

Asian/Pacific Islander 41.4 362
Black 78.4 8,082
Hispanic 583.3 240
White 0.0 0

Age

0-14 years 129.4 1,615
15-24 years 83.2 1,670
25-34 years 178.3 942
35-44 years 98.3 1,068
45-54 years 84.5 1,503
55-64 years 62.6 1,167
65-74 years 74.9 521
75+ years 92.5 335
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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.