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 1005900 Average

34.1

Averages

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76.0 City-Wide
65.8 Manhattan
34.1 Tract

Census Tract 1005900

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Injury ER Visit Rate Population (2011-2013)
All 34.1 16,594

Sex

Female 34.1 9,612
Male 54.7 6,982

Race/Ethnicity

Asian/Pacific Islander 16.2 1,794
Black 288.3 333
Hispanic 159.8 1,045
White 23.5 13,060

Age

0-14 years 104.5 986
15-24 years 19.6 3,512
25-34 years 41.1 2,921
35-44 years 24.9 2,330
45-54 years 52.9 1,210
55-64 years 23.6 2,751
65-74 years 31.2 1,507
75+ years 29.3 1,364
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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.