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 4116700 Average

44.7

Averages

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76.0 City-Wide
51.9 Queens
44.7 Tract

Census Tract 4116700

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Injury ER Visit Rate Population (2011-2013)
All 44.7 5,664

Sex

Female 36.3 3,027
Male 63.0 2,636

Race/Ethnicity

Asian/Pacific Islander 13.9 3,386
Black 0.0 10
Hispanic 61.9 1,582
White 94.1 510

Age

0-14 years 72.7 784
15-24 years 31.9 846
25-34 years 30.0 1,100
35-44 years 41.9 954
45-54 years 41.6 1,057
55-64 years 40.5 494
65-74 years 37.7 292
75+ years 164.1 128
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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.