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 1002900 Average

33.4

Averages

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76.0 City-Wide
65.8 Manhattan
33.4 Tract

Census Tract 1002900

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Injury ER Visit Rate Population (2011-2013)
All 33.4 19,022

Sex

Female 40.3 8,319
Male 43.8 10,702

Race/Ethnicity

Asian/Pacific Islander 4.5 13,744
Black 111.3 1,878
Hispanic 94.9 1,738
White 189.0 1,333

Age

0-14 years 67.1 1,669
15-24 years 38.3 2,609
25-34 years 38.3 3,054
35-44 years 26.1 3,106
45-54 years 29.5 2,614
55-64 years 29.3 2,253
65-74 years 30.3 1,386
75+ years 17.3 2,308
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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.