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 3008400 Average

86.5

Averages

Hide Show

76.0 City-Wide
82.9 Brooklyn
86.5 Tract

Census Tract 3008400

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 86.5 11,115

Sex

Female 97.4 4,879
Male 102.3 6,234

Race/Ethnicity

Asian/Pacific Islander 93.5 599
Black 0.0 30
Hispanic 36.6 8,078
White 183.8 2,138

Age

0-14 years 78.9 2,966
15-24 years 111.1 1,323
25-34 years 74.9 2,282
35-44 years 66.4 1,702
45-54 years 70.8 1,666
55-64 years 174.4 516
65-74 years 102.9 418
75+ years 218.0 211
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.