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 3069800 Average

37.7

Averages

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76.0 City-Wide
82.9 Brooklyn
37.7 Tract

Census Tract 3069800

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Injury ER Visit Rate Population (2011-2013)
All 37.7 4,169

Sex

Female 38.4 2,006
Male 48.5 2,163

Race/Ethnicity

Asian/Pacific Islander 30.1 166
Black 237.1 232
Hispanic 0.0 81
White 20.4 3,681

Age

0-14 years 54.9 747
15-24 years 27.1 663
25-34 years 58.8 340
35-44 years 36.5 603
45-54 years 13.6 1,032
55-64 years 43.9 228
65-74 years 69.4 173
75+ years 53.5 374
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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.