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 3044000 Average

57.4

Averages

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76.0 City-Wide
82.9 Brooklyn
57.4 Tract

Census Tract 3044000

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Injury ER Visit Rate Population (2011-2013)
All 57.4 7,802

Sex

Female 57.3 4,011
Male 77.8 3,790

Race/Ethnicity

Asian/Pacific Islander 274.1 135
Black 0.0 6
Hispanic 150.8 663
White 30.0 6,696

Age

0-14 years 70.8 1,652
15-24 years 42.2 1,516
25-34 years 92.3 607
35-44 years 57.4 940
45-54 years 67.6 858
55-64 years 55.0 946
65-74 years 40.3 471
75+ years 35.0 800
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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.