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 4018502 Average

37.8

Averages

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76.0 City-Wide
51.9 Queens
37.8 Tract

Census Tract 4018502

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Injury ER Visit Rate Population (2011-2013)
All 37.8 10,497

Sex

Female 36.4 5,516
Male 51.1 4,971

Race/Ethnicity

Asian/Pacific Islander 23.1 2,292
Black 0.0 77
Hispanic 42.4 2,926
White 24.9 4,974

Age

0-14 years 55.6 1,331
15-24 years 57.8 1,090
25-34 years 24.0 2,497
35-44 years 24.0 2,129
45-54 years 50.0 1,161
55-64 years 23.2 1,292
65-74 years 75.1 386
75+ years 56.9 562
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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.