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 2036700 Average

154.3

Averages

Hide Show

76.0 City-Wide
103.2 Bronx
154.3 Tract

Census Tract 2036700

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 154.3 6,656

Sex

Female 151.7 3,574
Male 193.7 3,082

Race/Ethnicity

Asian/Pacific Islander 0.0 34
Black 198.0 1,596
Hispanic 100.3 4,865
White 771.0 131

Age

0-14 years 129.2 1,889
15-24 years 110.8 1,687
25-34 years 228.1 675
35-44 years 179.3 792
45-54 years 134.0 940
55-64 years 218.8 393
65-74 years 315.8 133
75+ years 323.9 142
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.