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 2007900 Average

177.7

Averages

Hide Show

76.0 City-Wide
103.2 Bronx
177.7 Tract

Census Tract 2007900

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 177.7 18,450

Sex

Female 158.5 10,682
Male 286.1 7,766

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 323.3 3,572
Hispanic 107.0 14,335
White 567.2 402

Age

0-14 years 150.8 5,005
15-24 years 198.6 3,036
25-34 years 162.1 2,986
35-44 years 262.2 1,682
45-54 years 201.7 2,053
55-64 years 183.3 1,708
65-74 years 171.5 904
75+ years 108.8 1,039
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.