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 3055400 Average

63.5

Averages

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76.0 City-Wide
82.9 Brooklyn
63.5 Tract

Census Tract 3055400

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Injury ER Visit Rate Population (2011-2013)
All 63.5 10,542

Sex

Female 64.1 5,569
Male 87.3 4,973

Race/Ethnicity

Asian/Pacific Islander 59.7 1,239
Black 0.0 74
Hispanic 67.5 1,245
White 47.7 7,881

Age

0-14 years 104.8 1,384
15-24 years 62.6 1,582
25-34 years 50.8 1,713
35-44 years 43.5 1,654
45-54 years 42.3 2,035
55-64 years 79.2 1,023
65-74 years 115.1 443
75+ years 69.1 695
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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.