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 2022404 Average

109.1

Averages

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76.0 City-Wide
103.2 Bronx
109.1 Tract

Census Tract 2022404

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Injury ER Visit Rate Population (2011-2013)
All 109.1 12,686

Sex

Female 98.2 7,026
Male 153.9 5,653

Race/Ethnicity

Asian/Pacific Islander 48.0 999
Black 322.4 1,377
Hispanic 119.0 5,447
White 40.2 3,605

Age

0-14 years 141.3 2,541
15-24 years 138.5 1,596
25-34 years 128.2 1,615
35-44 years 61.6 2,565
45-54 years 138.4 1,286
55-64 years 76.2 1,707
65-74 years 112.6 764
75+ years 75.0 600
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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.