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 2022901 Average

104.8

Averages

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76.0 City-Wide
103.2 Bronx
104.8 Tract

Census Tract 2022901

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Injury ER Visit Rate Population (2011-2013)
All 104.8 15,387

Sex

Female 110.0 7,297
Male 133.8 8,089

Race/Ethnicity

Asian/Pacific Islander 20.3 1,037
Black 162.4 3,177
Hispanic 43.5 10,263
White 512.2 205

Age

0-14 years 104.7 3,801
15-24 years 113.0 2,433
25-34 years 88.6 2,945
35-44 years 109.1 1,861
45-54 years 114.8 1,760
55-64 years 95.8 1,576
65-74 years 92.5 746
75+ years 221.3 244
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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.