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 4068700 Average

38.5

Averages

Hide Show

76.0 City-Wide
51.9 Queens
38.5 Tract

Census Tract 4068700

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 38.5 14,302

Sex

Female 35.8 7,596
Male 53.1 6,706

Race/Ethnicity

Asian/Pacific Islander 11.1 7,018
Black 0.0 83
Hispanic 70.6 2,364
White 34.5 4,144

Age

0-14 years 49.0 2,427
15-24 years 111.3 773
25-34 years 30.2 3,183
35-44 years 34.1 1,758
45-54 years 39.9 1,882
55-64 years 20.7 2,460
65-74 years 42.1 832
75+ years 28.6 978
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.