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 3064800 Average

59.5

Averages

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76.0 City-Wide
82.9 Brooklyn
59.5 Tract

Census Tract 3064800

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Injury ER Visit Rate Population (2011-2013)
All 59.5 5,762

Sex

Female 75.4 2,758
Male 66.9 3,004

Race/Ethnicity

Asian/Pacific Islander 49.2 244
Black 97.7 1,484
Hispanic 111.5 628
White 37.1 3,313

Age

0-14 years 58.3 1,390
15-24 years 148.7 437
25-34 years 49.5 949
35-44 years 42.7 750
45-54 years 86.3 498
55-64 years 50.2 657
65-74 years 46.2 433
75+ years 34.7 634
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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.