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 2016600 Average

51.2

Averages

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76.0 City-Wide
103.2 Bronx
51.2 Tract

Census Tract 2016600

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Injury ER Visit Rate Population (2011-2013)
All 51.2 7,045

Sex

Female 52.3 3,616
Male 60.1 3,427

Race/Ethnicity

Asian/Pacific Islander 18.2 440
Black 0.0 85
Hispanic 45.9 3,157
White 20.7 3,237

Age

0-14 years 65.6 1,295
15-24 years 80.1 699
25-34 years 45.8 1,026
35-44 years 35.2 1,166
45-54 years 75.6 966
55-64 years 50.8 650
65-74 years 18.3 601
75+ years 24.0 625
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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.