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 4020400 Average

100.5

Averages

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76.0 City-Wide
51.9 Queens
100.5 Tract

Census Tract 4020400

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Injury ER Visit Rate Population (2011-2013)
All 100.5 5,952

Sex

Female 82.8 3,540
Male 151.7 2,412

Race/Ethnicity

Asian/Pacific Islander 54.2 923
Black 60.5 3,371
Hispanic 131.1 1,274
White 587.2 172

Age

0-14 years 134.4 1,317
15-24 years 98.2 784
25-34 years 72.3 1,370
35-44 years 123.4 559
45-54 years 96.2 738
55-64 years 106.0 500
65-74 years 72.3 429
75+ years 83.3 252
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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.