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 3086800 Average

113.8

Averages

Hide Show

76.0 City-Wide
82.9 Brooklyn
113.8 Tract

Census Tract 3086800

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 113.8 9,716

Sex

Female 101.4 5,663
Male 173.2 4,053

Race/Ethnicity

Asian/Pacific Islander 0.0 60
Black 88.4 8,808
Hispanic 412.3 439
White 799.1 219

Age

0-14 years 104.4 2,022
15-24 years 114.4 1,504
25-34 years 117.0 1,513
35-44 years 126.9 1,048
45-54 years 101.3 1,580
55-64 years 125.7 1,002
65-74 years 167.6 513
75+ years 83.5 491
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.