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 3086000 Average

97.2

Averages

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76.0 City-Wide
82.9 Brooklyn
97.2 Tract

Census Tract 3086000

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Injury ER Visit Rate Population (2011-2013)
All 97.2 10,396

Sex

Female 95.2 5,664
Male 145.9 4,730

Race/Ethnicity

Asian/Pacific Islander 252.0 127
Black 75.1 9,455
Hispanic 220.2 722
White 0.0 27

Age

0-14 years 104.4 1,993
15-24 years 119.9 1,284
25-34 years 104.1 1,479
35-44 years 109.9 1,238
45-54 years 83.3 1,644
55-64 years 91.0 1,319
65-74 years 71.7 837
75+ years 71.6 587
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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.