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 2018301 Average

117.7

Averages

Hide Show

76.0 City-Wide
103.2 Bronx
117.7 Tract

Census Tract 2018301

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 117.7 13,167

Sex

Female 130.2 6,723
Male 148.0 6,444

Race/Ethnicity

Asian/Pacific Islander 45.7 481
Black 93.4 4,999
Hispanic 86.9 7,111
White 478.8 330

Age

0-14 years 156.1 2,408
15-24 years 179.5 1,532
25-34 years 128.7 1,810
35-44 years 112.6 1,740
45-54 years 91.2 2,215
55-64 years 108.9 1,386
65-74 years 48.7 1,253
75+ years 68.7 815
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.