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 4004700 Average

138.1

Averages

Hide Show

76.0 City-Wide
51.9 Queens
138.1 Tract

Census Tract 4004700

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 138.1 11,956

Sex

Female 132.7 6,247
Male 171.8 5,709

Race/Ethnicity

Asian/Pacific Islander 179.1 1,033
Black 79.0 3,761
Hispanic 114.8 4,111
White 192.7 2,621

Age

0-14 years 186.3 1,787
15-24 years 126.9 1,915
25-34 years 154.4 1,930
35-44 years 130.3 1,443
45-54 years 94.0 1,969
55-64 years 144.1 1,110
65-74 years 95.6 1,088
75+ years 199.7 701
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.