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 4023200 Average

51.8

Averages

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76.0 City-Wide
51.9 Queens
51.8 Tract

Census Tract 4023200

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Injury ER Visit Rate Population (2011-2013)
All 51.8 16,053

Sex

Female 55.8 7,730
Male 64.5 8,321

Race/Ethnicity

Asian/Pacific Islander 13.0 6,215
Black 204.1 1,690
Hispanic 50.4 3,872
White 59.5 3,024

Age

0-14 years 87.7 2,498
15-24 years 73.8 1,627
25-34 years 41.0 3,508
35-44 years 35.8 2,206
45-54 years 45.9 2,134
55-64 years 41.6 1,922
65-74 years 59.8 853
75+ years 31.0 1,291
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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.