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 4062200 Average

45.0

Averages

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76.0 City-Wide
51.9 Queens
45.0 Tract

Census Tract 4062200

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Injury ER Visit Rate Population (2011-2013)
All 45.0 5,709

Sex

Female 41.7 3,308
Male 67.9 2,402

Race/Ethnicity

Asian/Pacific Islander 0.0 27
Black 17.5 5,329
Hispanic 187.5 272
White 0.0 53

Age

0-14 years 93.8 714
15-24 years 56.8 810
25-34 years 72.5 538
35-44 years 44.6 606
45-54 years 35.4 988
55-64 years 25.4 827
65-74 years 16.4 672
75+ years 20.9 526
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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.