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 2034500 Average

41.9

Averages

Hide Show

76.0 City-Wide
103.2 Bronx
41.9 Tract

Census Tract 2034500

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 41.9 10,738

Sex

Female 39.5 5,718
Male 57.5 5,013

Race/Ethnicity

Asian/Pacific Islander 9.9 1,415
Black 115.9 1,130
Hispanic 71.5 2,420
White 14.6 5,210

Age

0-14 years 56.6 1,856
15-24 years 68.8 1,309
25-34 years 46.6 1,739
35-44 years 34.7 1,238
45-54 years 36.9 1,465
55-64 years 22.7 1,365
65-74 years 22.5 978
75+ years 31.0 775
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.