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 2033500 Average

24.3

Averages

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76.0 City-Wide
103.2 Bronx
24.3 Tract

Census Tract 2033500

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Injury ER Visit Rate Population (2011-2013)
All 24.3 6,782

Sex

Female 24.9 3,615
Male 33.8 3,167

Race/Ethnicity

Asian/Pacific Islander 14.2 494
Black 120.4 382
Hispanic 47.9 1,231
White 10.5 4,585

Age

0-14 years 48.1 894
15-24 years 18.5 1,676
25-34 years 27.8 648
35-44 years 32.9 669
45-54 years 32.1 685
55-64 years 21.5 790
65-74 years 6.2 804
75+ years 11.6 606
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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.