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 2022800 Average

96.2

Averages

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76.0 City-Wide
103.2 Bronx
96.2 Tract

Census Tract 2022800

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Injury ER Visit Rate Population (2011-2013)
All 96.2 18,845

Sex

Female 100.8 9,244
Male 116.2 9,601

Race/Ethnicity

Asian/Pacific Islander 19.1 3,815
Black 180.6 2,830
Hispanic 100.2 8,673
White 55.1 3,464

Age

0-14 years 106.7 3,982
15-24 years 140.9 2,065
25-34 years 80.4 3,382
35-44 years 75.4 3,221
45-54 years 129.3 2,103
55-64 years 81.4 2,113
65-74 years 71.6 1,146
75+ years 67.9 825
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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.