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 2040400 Average

95.2

Averages

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76.0 City-Wide
103.2 Bronx
95.2 Tract

Census Tract 2040400

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Injury ER Visit Rate Population (2011-2013)
All 95.2 8,899

Sex

Female 89.1 4,659
Male 119.1 4,240

Race/Ethnicity

Asian/Pacific Islander 0.0 89
Black 40.5 7,453
Hispanic 301.5 1,141
White 603.6 169

Age

0-14 years 102.9 2,100
15-24 years 102.9 1,390
25-34 years 101.5 1,369
35-44 years 98.6 923
45-54 years 87.6 1,165
55-64 years 85.6 946
65-74 years 92.1 445
75+ years 62.5 544
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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.