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 2038800 Average

77.0

Averages

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76.0 City-Wide
103.2 Bronx
77.0 Tract

Census Tract 2038800

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Injury ER Visit Rate Population (2011-2013)
All 77.0 8,529

Sex

Female 66.2 5,336
Male 113.7 3,192

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 27.8 7,510
Hispanic 312.4 922
White 0.0 28

Age

0-14 years 81.1 2,220
15-24 years 73.0 1,261
25-34 years 66.9 1,285
35-44 years 79.4 1,158
45-54 years 73.4 1,389
55-64 years 104.0 529
65-74 years 108.7 276
75+ years 50.0 400
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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.