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 3001800 Average

20.1

Averages

Hide Show

76.0 City-Wide
82.9 Brooklyn
20.1 Tract

Census Tract 3001800

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 20.1 7,060

Sex

Female 231.3 307
Male 15.1 6,753

Race/Ethnicity

Asian/Pacific Islander 23.5 426
Black 23.3 1,804
Hispanic 13.6 3,608
White 56.6 1,042

Age

0-14 years 0.0 0
15-24 years 22.9 828
25-34 years 11.0 2,372
35-44 years 9.8 2,238
45-54 years 13.7 1,242
55-64 years 37.0 378
65-74 years 0.0 0
75+ years 0.0 0
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.