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 1003001 Average

52.9

Averages

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76.0 City-Wide
65.8 Manhattan
52.9 Tract

Census Tract 1003001

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Injury ER Visit Rate Population (2011-2013)
All 52.9 13,208

Sex

Female 54.9 6,285
Male 73.0 6,920

Race/Ethnicity

Asian/Pacific Islander 18.7 3,745
Black 0.0 129
Hispanic 75.7 2,497
White 48.0 6,441

Age

0-14 years 161.9 667
15-24 years 68.0 1,573
25-34 years 21.4 6,066
35-44 years 42.6 2,419
45-54 years 64.9 1,264
55-64 years 173.2 462
65-74 years 125.6 398
75+ years 109.9 355
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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.