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 2008400 Average

66.5

Averages

Hide Show

76.0 City-Wide
103.2 Bronx
66.5 Tract

Census Tract 2008400

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 66.5 7,550

Sex

Female 53.0 4,395
Male 106.9 3,153

Race/Ethnicity

Asian/Pacific Islander 0.0 82
Black 79.3 2,256
Hispanic 44.3 4,763
White 385.6 153

Age

0-14 years 66.3 1,932
15-24 years 90.7 981
25-34 years 57.6 1,215
35-44 years 48.3 1,015
45-54 years 100.8 794
55-64 years 63.9 751
65-74 years 28.5 561
75+ years 77.5 284
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.