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 3032700 Average

105.9

Averages

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76.0 City-Wide
82.9 Brooklyn
105.9 Tract

Census Tract 3032700

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Injury ER Visit Rate Population (2011-2013)
All 105.9 8,573

Sex

Female 98.1 4,977
Male 166.1 3,595

Race/Ethnicity

Asian/Pacific Islander 0.0 64
Black 101.0 5,961
Hispanic 131.4 1,157
White 197.8 1,102

Age

0-14 years 196.4 1,054
15-24 years 118.6 1,096
25-34 years 106.8 1,480
35-44 years 90.5 1,415
45-54 years 93.0 1,333
55-64 years 68.7 1,193
65-74 years 133.7 329
75+ years 53.2 658
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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.