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 4085300 Average

39.5

Averages

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76.0 City-Wide
51.9 Queens
39.5 Tract

Census Tract 4085300

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Injury ER Visit Rate Population (2011-2013)
All 39.5 13,811

Sex

Female 34.1 7,651
Male 57.5 6,160

Race/Ethnicity

Asian/Pacific Islander 6.6 10,950
Black 591.5 213
Hispanic 75.9 1,950
White 381.2 404

Age

0-14 years 79.1 1,581
15-24 years 49.6 1,614
25-34 years 52.4 1,908
35-44 years 28.3 2,117
45-54 years 29.4 2,212
55-64 years 25.0 2,082
65-74 years 14.1 1,627
75+ years 67.9 604
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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.