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 3045000 Average

35.8

Averages

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76.0 City-Wide
82.9 Brooklyn
35.8 Tract

Census Tract 3045000

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Injury ER Visit Rate Population (2011-2013)
All 35.8 2,209

Sex

Female 27.4 1,168
Male 51.1 1,038

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 87.7 114
Hispanic 28.2 709
White 24.7 1,376

Age

0-14 years 23.0 610
15-24 years 27.6 326
25-34 years 0.0 81
35-44 years 22.6 354
45-54 years 48.4 310
55-64 years 18.8 213
65-74 years 18.8 266
75+ years 0.0 37
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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.