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 4062600 Average

40.0

Averages

Hide Show

76.0 City-Wide
51.9 Queens
40.0 Tract

Census Tract 4062600

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 40.0 9,525

Sex

Female 38.9 5,653
Male 67.7 3,869

Race/Ethnicity

Asian/Pacific Islander 0.0 54
Black 21.1 7,970
Hispanic 91.2 932
White 612.9 155

Age

0-14 years 53.9 1,910
15-24 years 73.9 920
25-34 years 38.3 1,359
35-44 years 36.8 1,169
45-54 years 28.0 1,213
55-64 years 20.9 1,389
65-74 years 35.6 786
75+ years 31.9 752
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.