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 4133900 Average

25.7

Averages

Hide Show

76.0 City-Wide
51.9 Queens
25.7 Tract

Census Tract 4133900

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 25.7 4,467

Sex

Female 24.1 2,324
Male 36.9 2,142

Race/Ethnicity

Asian/Pacific Islander 11.8 1,519
Black 0.0 1
Hispanic 47.4 506
White 18.2 2,193

Age

0-14 years 30.8 778
15-24 years 22.7 704
25-34 years 40.9 464
35-44 years 53.5 355
45-54 years 13.0 849
55-64 years 22.0 637
65-74 years 22.1 271
75+ years 15.2 395
Download Table (.CSV)

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.