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 3078800 Average

100.9

Averages

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76.0 City-Wide
82.9 Brooklyn
100.9 Tract

Census Tract 3078800

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Injury ER Visit Rate Population (2011-2013)
All 100.9 10,176

Sex

Female 95.6 5,576
Male 137.1 4,594

Race/Ethnicity

Asian/Pacific Islander 0.0 40
Black 62.8 8,839
Hispanic 231.9 759
White 843.6 275

Age

0-14 years 86.3 2,433
15-24 years 139.0 1,072
25-34 years 187.6 1,034
35-44 years 100.6 1,253
45-54 years 69.8 2,064
55-64 years 96.1 1,165
65-74 years 44.8 893
75+ years 203.9 255
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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.