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 5024402 Average

83.0

Averages

Hide Show

76.0 City-Wide
108.7 Staten Island
83.0 Tract

Census Tract 5024402

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 83.0 12,023

Sex

Female 92.9 5,845
Male 112.2 6,177

Race/Ethnicity

Asian/Pacific Islander 38.2 943
Black 0.0 36
Hispanic 146.9 1,525
White 62.9 9,417

Age

0-14 years 66.0 2,515
15-24 years 82.1 1,888
25-34 years 168.2 1,094
35-44 years 66.6 1,921
45-54 years 53.6 2,539
55-64 years 143.7 821
65-74 years 63.5 787
75+ years 139.0 439
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.