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 3064200 Average

47.9

Averages

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76.0 City-Wide
82.9 Brooklyn
47.9 Tract

Census Tract 3064200

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Injury ER Visit Rate Population (2011-2013)
All 47.9 7,989

Sex

Female 50.1 4,131
Male 61.7 3,858

Race/Ethnicity

Asian/Pacific Islander 66.3 407
Black 0.0 2
Hispanic 254.9 204
White 23.7 7,353

Age

0-14 years 41.0 2,048
15-24 years 48.4 1,075
25-34 years 75.1 919
35-44 years 69.3 736
45-54 years 44.8 1,229
55-64 years 32.9 852
65-74 years 61.3 424
75+ years 26.0 691
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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.