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 2023200 Average

103.4

Averages

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76.0 City-Wide
103.2 Bronx
103.4 Tract

Census Tract 2023200

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Injury ER Visit Rate Population (2011-2013)
All 103.4 8,085

Sex

Female 96.1 4,246
Male 135.7 3,838

Race/Ethnicity

Asian/Pacific Islander 41.0 586
Black 366.3 606
Hispanic 74.4 5,107
White 73.4 1,635

Age

0-14 years 120.6 1,659
15-24 years 110.2 1,216
25-34 years 79.8 1,578
35-44 years 111.3 970
45-54 years 101.7 1,170
55-64 years 103.1 708
65-74 years 100.0 440
75+ years 96.7 331
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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.