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 2039902 Average

132.2

Averages

Hide Show

76.0 City-Wide
103.2 Bronx
132.2 Tract

Census Tract 2039902

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 132.2 13,906

Sex

Female 114.2 7,726
Male 197.4 6,179

Race/Ethnicity

Asian/Pacific Islander 145.8 192
Black 244.9 2,274
Hispanic 87.4 10,561
White 253.0 664

Age

0-14 years 112.6 3,720
15-24 years 215.9 1,547
25-34 years 95.6 3,147
35-44 years 119.0 1,891
45-54 years 209.9 1,234
55-64 years 109.0 1,578
65-74 years 183.6 452
75+ years 150.8 305
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.