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 1008300 Average

92.0

Averages

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76.0 City-Wide
65.8 Manhattan
92.0 Tract

Census Tract 1008300

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Injury ER Visit Rate Population (2011-2013)
All 92.0 11,990

Sex

Female 86.7 6,092
Male 131.2 5,898

Race/Ethnicity

Asian/Pacific Islander 52.4 1,547
Black 236.4 1,159
Hispanic 99.9 2,903
White 81.4 5,616

Age

0-14 years 123.4 1,264
15-24 years 112.0 1,518
25-34 years 66.8 3,174
35-44 years 72.2 2,299
45-54 years 150.7 982
55-64 years 81.6 1,531
65-74 years 98.7 628
75+ years 108.8 588
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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.