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 5020804 Average

90.6

Averages

Hide Show

76.0 City-Wide
108.7 Staten Island
90.6 Tract

Census Tract 5020804

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 90.6 15,811

Sex

Female 94.9 8,062
Male 124.1 7,749

Race/Ethnicity

Asian/Pacific Islander 64.2 1,091
Black 0.0 0
Hispanic 440.6 572
White 57.2 13,987

Age

0-14 years 112.7 2,111
15-24 years 100.5 2,377
25-34 years 134.3 1,928
35-44 years 111.6 1,819
45-54 years 76.1 2,379
55-64 years 52.6 3,100
65-74 years 41.0 1,487
75+ years 147.7 596
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.