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 4118900 Average

41.9

Averages

Hide Show

76.0 City-Wide
51.9 Queens
41.9 Tract

Census Tract 4118900

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 41.9 8,161

Sex

Female 31.4 4,645
Male 60.0 3,516

Race/Ethnicity

Asian/Pacific Islander 10.2 6,268
Black 500.0 120
Hispanic 212.7 583
White 82.0 854

Age

0-14 years 55.6 1,152
15-24 years 39.8 1,181
25-34 years 28.9 1,661
35-44 years 33.6 1,162
45-54 years 36.0 1,221
55-64 years 74.8 615
65-74 years 27.3 843
75+ years 96.3 322
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.