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 3101000 Average

100.5

Averages

Hide Show

76.0 City-Wide
82.9 Brooklyn
100.5 Tract

Census Tract 3101000

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 100.5 6,816

Sex

Female 98.1 3,322
Male 130.3 3,493

Race/Ethnicity

Asian/Pacific Islander 24.5 937
Black 92.6 5,033
Hispanic 292.7 410
White 275.2 407

Age

0-14 years 149.9 994
15-24 years 71.1 1,548
25-34 years 155.8 693
35-44 years 67.2 1,057
45-54 years 90.6 1,082
55-64 years 123.8 800
65-74 years 35.4 480
75+ years 223.0 148
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.