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 2028900 Average

69.1

Averages

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76.0 City-Wide
103.2 Bronx
69.1 Tract

Census Tract 2028900

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Injury ER Visit Rate Population (2011-2013)
All 69.1 13,204

Sex

Female 71.9 6,929
Male 89.6 6,275

Race/Ethnicity

Asian/Pacific Islander 8.9 897
Black 342.4 774
Hispanic 48.6 8,354
White 52.0 2,709

Age

0-14 years 83.1 2,359
15-24 years 99.8 1,513
25-34 years 68.1 2,216
35-44 years 61.0 1,968
45-54 years 56.2 1,959
55-64 years 70.9 1,339
65-74 years 42.4 943
75+ years 54.6 897
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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.