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 3080200 Average

95.5

Averages

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76.0 City-Wide
82.9 Brooklyn
95.5 Tract

Census Tract 3080200

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Injury ER Visit Rate Population (2011-2013)
All 95.5 13,048

Sex

Female 96.6 7,203
Male 131.6 5,844

Race/Ethnicity

Asian/Pacific Islander 0.0 98
Black 82.4 10,522
Hispanic 131.3 1,485
White 345.6 761

Age

0-14 years 103.9 2,617
15-24 years 150.4 1,356
25-34 years 89.5 2,290
35-44 years 84.6 1,902
45-54 years 140.9 1,242
55-64 years 66.1 1,907
65-74 years 51.0 1,079
75+ years 80.4 597
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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.