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 4107201 Average

21.0

Averages

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76.0 City-Wide
51.9 Queens
21.0 Tract

Census Tract 4107201

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Injury ER Visit Rate Population (2011-2013)
All 21.0 6,818

Sex

Female 21.6 3,560
Male 26.1 3,257

Race/Ethnicity

Asian/Pacific Islander 0.0 48
Black 0.0 6
Hispanic 65.4 535
White 7.1 6,210

Age

0-14 years 20.4 1,277
15-24 years 30.4 625
25-34 years 26.6 715
35-44 years 20.0 899
45-54 years 20.5 1,219
55-64 years 19.0 1,054
65-74 years 12.8 546
75+ years 18.9 476
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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.