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 1001401 Average

43.9

Averages

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76.0 City-Wide
65.8 Manhattan
43.9 Tract

Census Tract 1001401

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Injury ER Visit Rate Population (2011-2013)
All 43.9 9,867

Sex

Female 46.3 5,184
Male 58.3 4,683

Race/Ethnicity

Asian/Pacific Islander 15.4 1,432
Black 103.1 708
Hispanic 113.9 1,106
White 28.7 6,239

Age

0-14 years 49.1 1,385
15-24 years 127.2 464
25-34 years 69.3 1,458
35-44 years 36.1 1,634
45-54 years 27.7 1,552
55-64 years 42.9 1,330
65-74 years 29.0 792
75+ years 18.5 1,245
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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.