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 1010602 Average

38.3

Averages

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76.0 City-Wide
65.8 Manhattan
38.3 Tract

Census Tract 1010602

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Injury ER Visit Rate Population (2011-2013)
All 38.3 14,718

Sex

Female 37.7 8,298
Male 53.3 6,420

Race/Ethnicity

Asian/Pacific Islander 9.7 1,541
Black 205.1 390
Hispanic 121.4 766
White 24.4 11,318

Age

0-14 years 63.7 2,071
15-24 years 47.6 1,450
25-34 years 43.6 2,384
35-44 years 20.2 3,661
45-54 years 30.2 1,753
55-64 years 41.5 1,566
65-74 years 32.3 868
75+ years 39.9 953
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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.