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 3055800 Average

55.3

Averages

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76.0 City-Wide
82.9 Brooklyn
55.3 Tract

Census Tract 3055800

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Injury ER Visit Rate Population (2011-2013)
All 55.3 6,799

Sex

Female 61.6 3,215
Male 62.2 3,583

Race/Ethnicity

Asian/Pacific Islander 30.9 906
Black 0.0 18
Hispanic 68.2 807
White 39.7 5,065

Age

0-14 years 57.9 1,278
15-24 years 57.8 796
25-34 years 76.3 813
35-44 years 87.8 683
45-54 years 36.2 1,244
55-64 years 49.5 868
65-74 years 62.5 528
75+ years 22.7 573
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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.