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 3027600 Average

46.1

Averages

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76.0 City-Wide
82.9 Brooklyn
46.1 Tract

Census Tract 3027600

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Injury ER Visit Rate Population (2011-2013)
All 46.1 11,235

Sex

Female 50.0 5,638
Male 61.4 5,589

Race/Ethnicity

Asian/Pacific Islander 7.3 5,233
Black 0.0 0
Hispanic 57.4 2,632
White 86.6 3,186

Age

0-14 years 64.0 1,922
15-24 years 52.7 1,479
25-34 years 31.5 2,667
35-44 years 40.6 1,528
45-54 years 49.9 1,183
55-64 years 48.8 1,210
65-74 years 24.5 898
75+ years 94.8 327
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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.