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 4007700 Average

123.5

Averages

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76.0 City-Wide
51.9 Queens
123.5 Tract

Census Tract 4007700

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Injury ER Visit Rate Population (2011-2013)
All 123.5 4,009

Sex

Female 133.4 1,807
Male 129.4 2,202

Race/Ethnicity

Asian/Pacific Islander 38.9 1,234
Black 717.0 106
Hispanic 137.0 934
White 87.6 1,632

Age

0-14 years 179.5 479
15-24 years 148.4 364
25-34 years 69.7 1,162
35-44 years 70.1 842
45-54 years 259.3 270
55-64 years 113.3 459
65-74 years 130.1 269
75+ years 386.7 150
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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.