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 2037200 Average

55.5

Averages

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76.0 City-Wide
103.2 Bronx
55.5 Tract

Census Tract 2037200

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Injury ER Visit Rate Population (2011-2013)
All 55.5 7,023

Sex

Female 53.1 3,600
Male 75.1 3,423

Race/Ethnicity

Asian/Pacific Islander 15.7 445
Black 32.5 4,188
Hispanic 80.4 2,188
White 0.0 78

Age

0-14 years 69.0 1,363
15-24 years 103.7 849
25-34 years 32.1 1,650
35-44 years 61.4 928
45-54 years 43.2 903
55-64 years 31.5 603
65-74 years 44.0 546
75+ years 96.4 166
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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.