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 2036501 Average

146.1

Averages

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76.0 City-Wide
103.2 Bronx
146.1 Tract

Census Tract 2036501

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Injury ER Visit Rate Population (2011-2013)
All 146.1 11,571

Sex

Female 136.7 6,429
Male 203.0 5,132

Race/Ethnicity

Asian/Pacific Islander 312.5 128
Black 98.5 5,784
Hispanic 148.2 5,433
White 0.0 123

Age

0-14 years 121.5 3,087
15-24 years 138.9 2,109
25-34 years 146.1 1,787
35-44 years 159.7 1,490
45-54 years 188.6 1,251
55-64 years 121.2 1,221
65-74 years 224.0 366
75+ years 230.8 247
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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.