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 2023502 Average

85.7

Averages

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76.0 City-Wide
103.2 Bronx
85.7 Tract

Census Tract 2023502

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Injury ER Visit Rate Population (2011-2013)
All 85.7 14,476

Sex

Female 88.2 7,396
Male 113.4 7,079

Race/Ethnicity

Asian/Pacific Islander 35.2 454
Black 138.8 2,443
Hispanic 46.5 10,843
White 341.5 369

Age

0-14 years 93.6 2,799
15-24 years 88.3 2,458
25-34 years 96.1 2,143
35-44 years 99.9 1,562
45-54 years 85.4 1,990
55-64 years 75.6 1,522
65-74 years 94.1 776
75+ years 33.6 1,221
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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.