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 3059000 Average

54.9

Averages

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76.0 City-Wide
82.9 Brooklyn
54.9 Tract

Census Tract 3059000

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Injury ER Visit Rate Population (2011-2013)
All 54.9 5,449

Sex

Female 46.2 3,250
Male 96.0 2,199

Race/Ethnicity

Asian/Pacific Islander 9.1 2,849
Black 162.0 500
Hispanic 104.2 384
White 101.5 1,684

Age

0-14 years 82.8 664
15-24 years 77.9 642
25-34 years 41.5 1,206
35-44 years 66.9 583
45-54 years 57.6 799
55-64 years 32.1 996
65-74 years 56.1 285
75+ years 42.1 261
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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.