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 2025100 Average

115.3

Averages

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76.0 City-Wide
103.2 Bronx
115.3 Tract

Census Tract 2025100

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Injury ER Visit Rate Population (2011-2013)
All 115.3 21,022

Sex

Female 111.9 10,981
Male 157.1 10,039

Race/Ethnicity

Asian/Pacific Islander 26.1 1,225
Black 151.6 4,959
Hispanic 70.7 14,040
White 0.0 201

Age

0-14 years 122.9 4,557
15-24 years 87.6 4,963
25-34 years 134.9 2,854
35-44 years 101.2 3,003
45-54 years 139.0 2,475
55-64 years 93.7 2,294
65-74 years 212.5 546
75+ years 203.2 315
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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.