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 4055100 Average

60.0

Averages

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76.0 City-Wide
51.9 Queens
60.0 Tract

Census Tract 4055100

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Injury ER Visit Rate Population (2011-2013)
All 60.0 14,128

Sex

Female 65.5 7,160
Male 77.9 6,967

Race/Ethnicity

Asian/Pacific Islander 56.2 1,068
Black 0.0 230
Hispanic 46.4 7,109
White 30.5 5,581

Age

0-14 years 71.9 2,905
15-24 years 63.2 2,073
25-34 years 55.6 2,536
35-44 years 54.6 2,088
45-54 years 59.1 1,795
55-64 years 50.9 1,435
65-74 years 38.2 917
75+ years 101.9 373
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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.