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 4021400 Average

62.4

Averages

Hide Show

76.0 City-Wide
51.9 Queens
62.4 Tract

Census Tract 4021400

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 62.4 17,290

Sex

Female 64.6 8,590
Male 80.3 8,700

Race/Ethnicity

Asian/Pacific Islander 23.1 5,419
Black 210.9 1,788
Hispanic 44.6 6,682
White 121.7 2,136

Age

0-14 years 79.5 3,486
15-24 years 76.8 2,344
25-34 years 52.7 2,962
35-44 years 40.7 2,779
45-54 years 53.9 2,395
55-64 years 55.8 2,007
65-74 years 65.4 918
75+ years 138.7 375
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.