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 4134100 Average

31.4

Averages

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76.0 City-Wide
51.9 Queens
31.4 Tract

Census Tract 4134100

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Injury ER Visit Rate Population (2011-2013)
All 31.4 10,003

Sex

Female 29.5 5,250
Male 40.4 4,752

Race/Ethnicity

Asian/Pacific Islander 6.9 5,802
Black 342.9 175
Hispanic 125.3 798
White 35.0 3,084

Age

0-14 years 44.3 1,714
15-24 years 51.3 838
25-34 years 45.1 1,086
35-44 years 20.1 1,539
45-54 years 22.7 1,759
55-64 years 23.4 1,451
65-74 years 13.2 982
75+ years 46.1 607
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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.