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 2037100 Average

148.1

Averages

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76.0 City-Wide
103.2 Bronx
148.1 Tract

Census Tract 2037100

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Injury ER Visit Rate Population (2011-2013)
All 148.1 10,726

Sex

Female 129.6 6,242
Male 229.5 4,483

Race/Ethnicity

Asian/Pacific Islander 0.0 2
Black 122.1 4,168
Hispanic 128.6 6,345
White 0.0 81

Age

0-14 years 182.9 1,914
15-24 years 144.5 1,993
25-34 years 191.8 1,392
35-44 years 235.9 924
45-54 years 123.0 1,756
55-64 years 115.2 1,189
65-74 years 61.4 1,075
75+ years 98.3 478
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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.