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 1013700 Average

24.0

Averages

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76.0 City-Wide
65.8 Manhattan
24.0 Tract

Census Tract 1013700

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Injury ER Visit Rate Population (2011-2013)
All 24.0 19,918

Sex

Female 25.3 10,707
Male 37.5 9,209

Race/Ethnicity

Asian/Pacific Islander 8.6 2,687
Black 379.7 187
Hispanic 111.8 1,109
White 15.1 15,299

Age

0-14 years 55.2 1,684
15-24 years 135.8 523
25-34 years 12.2 5,745
35-44 years 20.3 3,247
45-54 years 21.1 3,130
55-64 years 25.7 2,219
65-74 years 13.1 1,674
75+ years 20.3 1,672
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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.