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 1023501 Average

96.1

Averages

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76.0 City-Wide
65.8 Manhattan
96.1 Tract

Census Tract 1023501

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Injury ER Visit Rate Population (2011-2013)
All 96.1 19,811

Sex

Female 116.0 9,201
Male 115.8 10,609

Race/Ethnicity

Asian/Pacific Islander 63.1 396
Black 57.4 9,714
Hispanic 112.5 6,666
White 178.7 1,780

Age

0-14 years 135.3 3,201
15-24 years 87.2 3,452
25-34 years 87.1 3,249
35-44 years 81.7 2,998
45-54 years 86.1 3,043
55-64 years 109.1 1,521
65-74 years 96.4 1,255
75+ years 84.9 1,084
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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.