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 4008700 Average

213.3

Averages

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76.0 City-Wide
51.9 Queens
213.3 Tract

Census Tract 4008700

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Injury ER Visit Rate Population (2011-2013)
All 213.3 12,243

Sex

Female 180.5 6,841
Male 290.6 5,396

Race/Ethnicity

Asian/Pacific Islander 0.0 28
Black 90.5 5,074
Hispanic 138.3 6,191
White 941.7 841

Age

0-14 years 186.4 2,565
15-24 years 129.6 2,755
25-34 years 272.2 1,708
35-44 years 190.0 1,600
45-54 years 179.3 1,807
55-64 years 261.0 1,157
65-74 years 451.3 390
75+ years 807.8 255
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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.