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 5002001 Average

95.0

Averages

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76.0 City-Wide
108.7 Staten Island
95.0 Tract

Census Tract 5002001

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Injury ER Visit Rate Population (2011-2013)
All 95.0 7,255

Sex

Female 94.0 3,775
Male 135.1 3,480

Race/Ethnicity

Asian/Pacific Islander 21.0 857
Black 683.6 177
Hispanic 100.2 1,018
White 80.5 5,070

Age

0-14 years 137.6 923
15-24 years 126.2 967
25-34 years 88.6 1,185
35-44 years 71.6 1,090
45-54 years 75.7 1,176
55-64 years 85.5 936
65-74 years 94.5 508
75+ years 87.9 455
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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.