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 4061800 Average

41.9

Averages

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76.0 City-Wide
51.9 Queens
41.9 Tract

Census Tract 4061800

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Injury ER Visit Rate Population (2011-2013)
All 41.9 4,439

Sex

Female 44.1 2,338
Male 55.2 2,101

Race/Ethnicity

Asian/Pacific Islander 156.9 102
Black 20.6 3,844
Hispanic 370.4 108
White 300.0 160

Age

0-14 years 64.4 559
15-24 years 58.5 496
25-34 years 56.1 446
35-44 years 48.3 559
45-54 years 22.2 1,038
55-64 years 51.8 463
65-74 years 20.8 529
75+ years 32.2 342
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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.