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 3054900 Average

41.9

Averages

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76.0 City-Wide
82.9 Brooklyn
41.9 Tract

Census Tract 3054900

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Injury ER Visit Rate Population (2011-2013)
All 41.9 9,509

Sex

Female 45.6 4,543
Male 54.8 4,967

Race/Ethnicity

Asian/Pacific Islander 28.1 534
Black 0.0 116
Hispanic 49.1 1,853
White 15.3 6,793

Age

0-14 years 22.2 2,794
15-24 years 97.1 906
25-34 years 22.1 3,298
35-44 years 47.1 1,317
45-54 years 70.3 697
55-64 years 152.6 249
65-74 years 50.8 197
75+ years 0.0 34
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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.