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 3056800 Average

44.9

Averages

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76.0 City-Wide
82.9 Brooklyn
44.9 Tract

Census Tract 3056800

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Injury ER Visit Rate Population (2011-2013)
All 44.9 4,120

Sex

Female 42.4 2,314
Male 62.1 1,804

Race/Ethnicity

Asian/Pacific Islander 33.2 602
Black 0.0 0
Hispanic 45.1 688
White 38.3 2,770

Age

0-14 years 54.6 568
15-24 years 88.7 293
25-34 years 65.2 445
35-44 years 30.8 811
45-54 years 42.8 631
55-64 years 33.3 661
65-74 years 63.9 219
75+ years 23.5 468
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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.