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 4093900 Average

38.9

Averages

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76.0 City-Wide
51.9 Queens
38.9 Tract

Census Tract 4093900

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Injury ER Visit Rate Population (2011-2013)
All 38.9 13,461

Sex

Female 36.2 6,496
Male 47.4 6,964

Race/Ethnicity

Asian/Pacific Islander 14.5 4,905
Black 0.0 67
Hispanic 45.4 3,588
White 31.2 4,643

Age

0-14 years 48.4 2,312
15-24 years 45.2 1,459
25-34 years 44.6 1,882
35-44 years 23.0 2,434
45-54 years 40.0 1,749
55-64 years 61.4 1,367
65-74 years 19.2 1,197
75+ years 27.9 1,041
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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.