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 4062500 Average

40.4

Averages

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76.0 City-Wide
51.9 Queens
40.4 Tract

Census Tract 4062500

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Injury ER Visit Rate Population (2011-2013)
All 40.4 6,608

Sex

Female 46.1 3,167
Male 50.0 3,440

Race/Ethnicity

Asian/Pacific Islander 156.5 115
Black 0.0 14
Hispanic 67.9 1,355
White 15.3 5,113

Age

0-14 years 88.9 686
15-24 years 62.0 742
25-34 years 33.1 1,207
35-44 years 29.8 973
45-54 years 24.3 1,400
55-64 years 42.7 726
65-74 years 22.9 437
75+ years 38.9 411
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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.