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 2025000 Average

50.0

Averages

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76.0 City-Wide
103.2 Bronx
50.0 Tract

Census Tract 2025000

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Injury ER Visit Rate Population (2011-2013)
All 50.0 7,644

Sex

Female 47.7 4,067
Male 65.2 3,576

Race/Ethnicity

Asian/Pacific Islander 11.7 682
Black 0.0 0
Hispanic 79.8 2,092
White 10.6 4,699

Age

0-14 years 62.5 1,264
15-24 years 56.1 1,105
25-34 years 61.8 1,149
35-44 years 140.0 443
45-54 years 37.6 1,409
55-64 years 51.5 563
65-74 years 18.5 811
75+ years 12.3 897
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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.