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 1020901 Average

154.9

Averages

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76.0 City-Wide
65.8 Manhattan
154.9 Tract

Census Tract 1020901

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Injury ER Visit Rate Population (2011-2013)
All 154.9 11,714

Sex

Female 149.5 6,122
Male 200.6 5,592

Race/Ethnicity

Asian/Pacific Islander 0.0 76
Black 96.1 6,286
Hispanic 149.6 4,532
White 491.5 761

Age

0-14 years 171.4 1,645
15-24 years 148.6 2,147
25-34 years 164.2 1,937
35-44 years 148.2 1,606
45-54 years 130.9 1,856
55-64 years 191.9 1,068
65-74 years 221.4 524
75+ years 101.6 915
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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.