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 1030900 Average

72.1

Averages

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76.0 City-Wide
65.8 Manhattan
72.1 Tract

Census Tract 1030900

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Injury ER Visit Rate Population (2011-2013)
All 72.1 26,852

Sex

Female 64.8 15,348
Male 102.8 11,496

Race/Ethnicity

Asian/Pacific Islander 248.1 129
Black 75.1 6,123
Hispanic 47.4 18,881
White 236.1 1,245

Age

0-14 years 62.9 6,442
15-24 years 81.9 3,796
25-34 years 76.4 3,782
35-44 years 67.7 3,605
45-54 years 78.4 3,382
55-64 years 60.5 3,274
65-74 years 73.2 1,530
75+ years 108.4 1,033
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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.