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 1008900 Average

48.8

Averages

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76.0 City-Wide
65.8 Manhattan
48.8 Tract

Census Tract 1008900

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Injury ER Visit Rate Population (2011-2013)
All 48.8 17,282

Sex

Female 54.0 7,797
Male 59.2 9,483

Race/Ethnicity

Asian/Pacific Islander 31.9 1,474
Black 142.6 1,108
Hispanic 98.8 2,328
White 28.0 11,770

Age

0-14 years 98.0 1,367
15-24 years 64.8 1,805
25-34 years 38.3 4,174
35-44 years 28.4 3,877
45-54 years 38.5 2,699
55-64 years 66.8 1,646
65-74 years 53.0 1,170
75+ years 85.8 536
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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.