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 4086400 Average

68.2

Averages

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76.0 City-Wide
51.9 Queens
68.2 Tract

Census Tract 4086400

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Injury ER Visit Rate Population (2011-2013)
All 68.2 7,678

Sex

Female 71.1 4,024
Male 94.3 3,649

Race/Ethnicity

Asian/Pacific Islander 30.3 1,813
Black 285.4 792
Hispanic 54.8 2,647
White 73.2 1,543

Age

0-14 years 88.2 1,508
15-24 years 64.2 1,324
25-34 years 68.4 1,286
35-44 years 47.2 1,293
45-54 years 55.3 1,104
55-64 years 70.2 627
65-74 years 158.1 215
75+ years 61.0 295
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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.