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 1017700 Average

73.5

Averages

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76.0 City-Wide
65.8 Manhattan
73.5 Tract

Census Tract 1017700

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Injury ER Visit Rate Population (2011-2013)
All 73.5 26,709

Sex

Female 66.3 15,799
Male 110.9 10,905

Race/Ethnicity

Asian/Pacific Islander 47.7 1,404
Black 103.6 4,845
Hispanic 96.2 6,224
White 45.5 13,221

Age

0-14 years 79.0 4,328
15-24 years 104.2 2,515
25-34 years 100.9 3,250
35-44 years 72.5 3,309
45-54 years 87.3 3,481
55-64 years 58.9 3,988
65-74 years 39.7 3,145
75+ years 47.4 2,660
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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.