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 4045000 Average

57.2

Averages

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76.0 City-Wide
51.9 Queens
57.2 Tract

Census Tract 4045000

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Injury ER Visit Rate Population (2011-2013)
All 57.2 5,074

Sex

Female 79.5 2,364
Male 69.4 2,708

Race/Ethnicity

Asian/Pacific Islander 33.6 1,490
Black 0.0 71
Hispanic 44.6 1,257
White 47.5 1,538

Age

0-14 years 128.4 670
15-24 years 85.0 588
25-34 years 55.7 754
35-44 years 41.5 530
45-54 years 40.9 930
55-64 years 46.5 516
65-74 years 23.0 696
75+ years 33.2 361
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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.