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 4003900 Average

122.1

Averages

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76.0 City-Wide
51.9 Queens
122.1 Tract

Census Tract 4003900

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Injury ER Visit Rate Population (2011-2013)
All 122.1 4,538

Sex

Female 127.7 2,216
Male 140.4 2,322

Race/Ethnicity

Asian/Pacific Islander 140.0 407
Black 335.5 304
Hispanic 67.2 2,589
White 151.9 1,185

Age

0-14 years 155.0 703
15-24 years 92.7 831
25-34 years 112.4 756
35-44 years 92.7 841
45-54 years 173.3 479
55-64 years 101.7 531
65-74 years 155.3 219
75+ years 208.6 163
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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.