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 3043000 Average

64.2

Averages

Hide Show

76.0 City-Wide
82.9 Brooklyn
64.2 Tract

Census Tract 3043000

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 64.2 9,040

Sex

Female 63.4 4,918
Male 93.4 4,122

Race/Ethnicity

Asian/Pacific Islander 17.0 3,240
Black 0.0 0
Hispanic 103.8 1,137
White 63.0 4,663

Age

0-14 years 142.3 1,047
15-24 years 81.3 1,095
25-34 years 48.2 1,639
35-44 years 65.5 1,054
45-54 years 54.1 1,183
55-64 years 48.5 1,238
65-74 years 43.5 759
75+ years 36.3 1,018
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.