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 2000200 Average

69.4

Averages

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76.0 City-Wide
103.2 Bronx
69.4 Tract

Census Tract 2000200

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Injury ER Visit Rate Population (2011-2013)
All 69.4 13,886

Sex

Female 61.9 7,322
Male 94.0 6,564

Race/Ethnicity

Asian/Pacific Islander 69.0 623
Black 85.4 3,500
Hispanic 43.1 9,449
White 891.5 129

Age

0-14 years 76.4 2,868
15-24 years 63.3 2,545
25-34 years 80.6 1,922
35-44 years 66.9 1,899
45-54 years 81.5 1,693
55-64 years 61.8 1,359
65-74 years 44.4 765
75+ years 55.2 815
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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.