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 4050400 Average

60.5

Averages

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76.0 City-Wide
51.9 Queens
60.5 Tract

Census Tract 4050400

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Injury ER Visit Rate Population (2011-2013)
All 60.5 5,336

Sex

Female 68.6 2,726
Male 77.0 2,610

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 24.4 4,908
Hispanic 172.2 331
White 0.0 47

Age

0-14 years 79.5 931
15-24 years 58.1 930
25-34 years 78.8 660
35-44 years 35.8 837
45-54 years 73.8 732
55-64 years 41.7 648
65-74 years 38.9 334
75+ years 72.5 262
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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.