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 4028300 Average

57.5

Averages

Hide Show

76.0 City-Wide
51.9 Queens
57.5 Tract

Census Tract 4028300

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 57.5 20,133

Sex

Female 56.0 10,727
Male 85.5 9,405

Race/Ethnicity

Asian/Pacific Islander 62.7 2,968
Black 439.3 478
Hispanic 41.3 11,829
White 90.8 4,185

Age

0-14 years 98.9 2,913
15-24 years 81.0 2,087
25-34 years 48.9 3,970
35-44 years 43.4 3,085
45-54 years 49.0 2,818
55-64 years 39.7 2,848
65-74 years 51.5 1,261
75+ years 51.7 1,083
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.