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 4119300 Average

32.1

Averages

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76.0 City-Wide
51.9 Queens
32.1 Tract

Census Tract 4119300

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Injury ER Visit Rate Population (2011-2013)
All 32.1 6,954

Sex

Female 25.9 3,745
Male 49.6 3,204

Race/Ethnicity

Asian/Pacific Islander 11.5 3,139
Black 208.8 182
Hispanic 61.8 1,051
White 27.8 2,304

Age

0-14 years 28.9 1,486
15-24 years 32.5 832
25-34 years 39.4 1,041
35-44 years 35.0 1,000
45-54 years 23.8 966
55-64 years 47.5 526
65-74 years 17.5 570
75+ years 36.8 516
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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.