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 4008100 Average

95.7

Averages

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76.0 City-Wide
51.9 Queens
95.7 Tract

Census Tract 4008100

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Injury ER Visit Rate Population (2011-2013)
All 95.7 3,282

Sex

Female 96.0 1,677
Male 122.2 1,604

Race/Ethnicity

Asian/Pacific Islander 30.0 733
Black 0.0 91
Hispanic 101.3 1,106
White 142.5 723

Age

0-14 years 72.6 882
15-24 years 92.5 519
25-34 years 75.7 727
35-44 years 57.6 746
45-54 years 193.9 196
55-64 years 254.7 106
65-74 years 0.0 48
75+ years 0.0 56
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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.