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 2015100 Average

112.1

Averages

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76.0 City-Wide
103.2 Bronx
112.1 Tract

Census Tract 2015100

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Injury ER Visit Rate Population (2011-2013)
All 112.1 17,353

Sex

Female 110.3 9,237
Male 158.0 8,116

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 94.9 6,575
Hispanic 77.6 10,336
White 601.5 271

Age

0-14 years 114.7 3,879
15-24 years 102.5 3,385
25-34 years 136.4 2,404
35-44 years 94.1 2,880
45-54 years 110.6 2,296
55-64 years 101.3 1,570
65-74 years 161.8 550
75+ years 135.8 383
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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.