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 3114201 Average

123.0

Averages

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76.0 City-Wide
82.9 Brooklyn
123.0 Tract

Census Tract 3114201

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Injury ER Visit Rate Population (2011-2013)
All 123.0 5,010

Sex

Female 159.9 2,082
Male 130.5 2,927

Race/Ethnicity

Asian/Pacific Islander 0.0 38
Black 168.6 1,684
Hispanic 83.6 2,609
White 175.8 586

Age

0-14 years 131.3 1,089
15-24 years 149.1 691
25-34 years 144.2 770
35-44 years 159.4 502
45-54 years 119.2 579
55-64 years 86.2 650
65-74 years 57.9 604
75+ years 174.3 109
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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.