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 2022403 Average

101.2

Averages

Hide Show

76.0 City-Wide
103.2 Bronx
101.2 Tract

Census Tract 2022403

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 101.2 9,593

Sex

Female 88.7 5,809
Male 150.2 3,782

Race/Ethnicity

Asian/Pacific Islander 75.1 373
Black 283.2 1,024
Hispanic 74.0 5,770
White 49.6 2,076

Age

0-14 years 118.3 1,792
15-24 years 119.9 1,159
25-34 years 102.5 1,483
35-44 years 75.3 1,938
45-54 years 76.5 1,542
55-64 years 164.5 687
65-74 years 115.3 503
75+ years 71.4 462
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.