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 2028300 Average

87.1

Averages

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76.0 City-Wide
103.2 Bronx
87.1 Tract

Census Tract 2028300

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Injury ER Visit Rate Population (2011-2013)
All 87.1 8,934

Sex

Female 82.7 4,811
Male 118.1 4,123

Race/Ethnicity

Asian/Pacific Islander 0.0 91
Black 144.3 1,677
Hispanic 49.3 6,593
White 212.6 508

Age

0-14 years 110.1 1,762
15-24 years 106.8 1,124
25-34 years 91.5 1,453
35-44 years 57.9 1,417
45-54 years 62.8 1,385
55-64 years 100.5 846
65-74 years 78.5 535
75+ years 92.6 378
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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.