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 2037000 Average

68.5

Averages

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76.0 City-Wide
103.2 Bronx
68.5 Tract

Census Tract 2037000

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Injury ER Visit Rate Population (2011-2013)
All 68.5 7,389

Sex

Female 59.1 4,127
Male 100.6 3,261

Race/Ethnicity

Asian/Pacific Islander 0.0 16
Black 36.8 4,488
Hispanic 108.6 2,154
White 297.2 286

Age

0-14 years 157.0 847
15-24 years 64.4 1,320
25-34 years 81.1 1,135
35-44 years 56.5 991
45-54 years 42.2 1,186
55-64 years 44.9 1,113
65-74 years 34.7 548
75+ years 88.2 238
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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.