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 4048900 Average

59.8

Averages

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76.0 City-Wide
51.9 Queens
59.8 Tract

Census Tract 4048900

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Injury ER Visit Rate Population (2011-2013)
All 59.8 4,146

Sex

Female 53.1 1,901
Male 73.5 2,245

Race/Ethnicity

Asian/Pacific Islander 19.6 2,291
Black 0.0 15
Hispanic 61.3 1,402
White 136.7 439

Age

0-14 years 141.1 418
15-24 years 55.9 483
25-34 years 36.7 1,252
35-44 years 60.8 543
45-54 years 59.0 576
55-64 years 40.9 464
65-74 years 60.2 216
75+ years 91.4 186
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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.