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 2023501 Average

91.7

Averages

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76.0 City-Wide
103.2 Bronx
91.7 Tract

Census Tract 2023501

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Injury ER Visit Rate Population (2011-2013)
All 91.7 10,480

Sex

Female 89.9 5,227
Male 120.3 5,253

Race/Ethnicity

Asian/Pacific Islander 157.9 133
Black 169.8 1,849
Hispanic 46.3 8,317
White 0.0 58

Age

0-14 years 93.0 2,268
15-24 years 110.1 1,635
25-34 years 127.5 1,333
35-44 years 58.6 1,927
45-54 years 83.9 1,490
55-64 years 86.0 988
65-74 years 90.7 441
75+ years 93.9 394
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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.