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 1020800 Average

99.0

Averages

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76.0 City-Wide
65.8 Manhattan
99.0 Tract

Census Tract 1020800

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Injury ER Visit Rate Population (2011-2013)
All 99.0 14,573

Sex

Female 114.8 7,195
Male 124.7 7,377

Race/Ethnicity

Asian/Pacific Islander 15.9 1,693
Black 88.4 8,001
Hispanic 231.1 1,908
White 103.1 2,540

Age

0-14 years 131.7 2,369
15-24 years 100.0 2,299
25-34 years 66.5 3,235
35-44 years 86.6 2,355
45-54 years 101.1 1,839
55-64 years 92.7 1,618
65-74 years 123.2 568
75+ years 277.8 270
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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.