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 4025700 Average

54.9

Averages

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76.0 City-Wide
51.9 Queens
54.9 Tract

Census Tract 4025700

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Injury ER Visit Rate Population (2011-2013)
All 54.9 3,990

Sex

Female 59.3 1,956
Male 67.4 2,033

Race/Ethnicity

Asian/Pacific Islander 26.9 1,413
Black 0.0 26
Hispanic 60.4 1,456
White 43.5 897

Age

0-14 years 98.8 577
15-24 years 82.9 217
25-34 years 42.8 912
35-44 years 30.4 1,282
45-54 years 61.9 420
55-64 years 71.2 309
65-74 years 92.9 140
75+ years 45.5 110
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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.