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 4018101 Average

51.6

Averages

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76.0 City-Wide
51.9 Queens
51.6 Tract

Census Tract 4018101

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Injury ER Visit Rate Population (2011-2013)
All 51.6 12,622

Sex

Female 55.5 6,322
Male 66.8 6,300

Race/Ethnicity

Asian/Pacific Islander 16.9 4,663
Black 0.0 96
Hispanic 69.0 3,521
White 45.1 4,210

Age

0-14 years 112.0 1,456
15-24 years 48.9 1,677
25-34 years 35.2 3,300
35-44 years 42.6 1,692
45-54 years 48.1 1,808
55-64 years 31.6 1,454
65-74 years 36.3 964
75+ years 200.0 250
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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.