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 3118202 Average

106.8

Averages

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76.0 City-Wide
82.9 Brooklyn
106.8 Tract

Census Tract 3118202

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Injury ER Visit Rate Population (2011-2013)
All 106.8 8,795

Sex

Female 96.2 4,634
Male 146.4 4,161

Race/Ethnicity

Asian/Pacific Islander 118.1 703
Black 164.5 1,933
Hispanic 58.7 5,553
White 316.1 503

Age

0-14 years 101.2 2,055
15-24 years 101.9 1,550
25-34 years 123.6 1,278
35-44 years 66.7 1,560
45-54 years 131.2 1,006
55-64 years 108.9 799
65-74 years 155.8 276
75+ years 189.9 258
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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.