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 3118400 Average

104.1

Averages

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76.0 City-Wide
82.9 Brooklyn
104.1 Tract

Census Tract 3118400

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Injury ER Visit Rate Population (2011-2013)
All 104.1 15,538

Sex

Female 100.4 8,211
Male 136.0 7,323

Race/Ethnicity

Asian/Pacific Islander 42.6 2,205
Black 328.6 2,039
Hispanic 54.3 9,531
White 244.0 1,082

Age

0-14 years 116.9 3,096
15-24 years 74.9 3,486
25-34 years 146.2 1,792
35-44 years 87.1 2,458
45-54 years 103.6 2,269
55-64 years 120.9 1,282
65-74 years 116.7 557
75+ years 109.4 576
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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.