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 3055200 Average

55.0

Averages

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76.0 City-Wide
82.9 Brooklyn
55.0 Tract

Census Tract 3055200

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Injury ER Visit Rate Population (2011-2013)
All 55.0 10,057

Sex

Female 51.3 5,142
Male 73.4 4,915

Race/Ethnicity

Asian/Pacific Islander 25.7 2,373
Black 0.0 66
Hispanic 123.9 565
White 37.1 7,029

Age

0-14 years 84.4 1,125
15-24 years 85.6 1,239
25-34 years 49.8 1,807
35-44 years 52.6 1,065
45-54 years 40.7 1,792
55-64 years 54.1 1,312
65-74 years 38.8 722
75+ years 35.0 972
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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.