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 4140300 Average

23.6

Averages

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76.0 City-Wide
51.9 Queens
23.6 Tract

Census Tract 4140300

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Injury ER Visit Rate Population (2011-2013)
All 23.6 7,743

Sex

Female 22.1 4,074
Male 34.1 3,669

Race/Ethnicity

Asian/Pacific Islander 5.2 4,242
Black 0.0 51
Hispanic 43.8 1,255
White 39.9 2,004

Age

0-14 years 39.7 1,158
15-24 years 26.3 1,065
25-34 years 30.7 911
35-44 years 25.0 919
45-54 years 12.2 1,475
55-64 years 13.8 1,233
65-74 years 24.2 496
75+ years 23.3 472
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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.