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 2033800 Average

81.2

Averages

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76.0 City-Wide
103.2 Bronx
81.2 Tract

Census Tract 2033800

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Injury ER Visit Rate Population (2011-2013)
All 81.2 11,215

Sex

Female 77.6 5,332
Male 99.3 5,883

Race/Ethnicity

Asian/Pacific Islander 83.1 313
Black 43.4 6,469
Hispanic 102.1 3,958
White 226.8 366

Age

0-14 years 95.8 2,233
15-24 years 77.3 1,836
25-34 years 83.6 1,782
35-44 years 70.4 1,704
45-54 years 83.7 1,649
55-64 years 59.9 1,286
65-74 years 77.3 453
75+ years 139.5 258
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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.