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 4028000 Average

70.9

Averages

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76.0 City-Wide
51.9 Queens
70.9 Tract

Census Tract 4028000

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Injury ER Visit Rate Population (2011-2013)
All 70.9 5,178

Sex

Female 60.3 2,919
Male 105.8 2,259

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 30.1 4,782
Hispanic 312.9 278
White 0.0 0

Age

0-14 years 83.1 1,228
15-24 years 86.4 787
25-34 years 79.4 819
35-44 years 68.1 793
45-54 years 43.9 775
55-64 years 38.5 493
65-74 years 83.3 144
75+ years 100.8 129
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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.