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 2037800 Average

66.4

Averages

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76.0 City-Wide
103.2 Bronx
66.4 Tract

Census Tract 2037800

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Injury ER Visit Rate Population (2011-2013)
All 66.4 9,190

Sex

Female 58.9 5,090
Male 88.1 4,086

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 36.9 5,360
Hispanic 79.9 3,318
White 138.7 476

Age

0-14 years 73.1 2,422
15-24 years 61.2 1,438
25-34 years 99.4 996
35-44 years 58.7 1,379
45-54 years 58.1 1,240
55-64 years 52.7 1,025
65-74 years 51.5 408
75+ years 71.4 252
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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.