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 3102800 Average

80.5

Averages

Hide Show

76.0 City-Wide
82.9 Brooklyn
80.5 Tract

Census Tract 3102800

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 80.5 4,548

Sex

Female 69.2 2,514
Male 126.0 2,031

Race/Ethnicity

Asian/Pacific Islander 26.3 494
Black 55.6 3,688
Hispanic 560.3 116
White 372.9 236

Age

0-14 years 125.4 622
15-24 years 62.6 862
25-34 years 89.2 695
35-44 years 73.6 734
45-54 years 50.5 812
55-64 years 75.6 582
65-74 years 129.3 147
75+ years 0.0 83
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.