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 3123700 Average

28.0

Averages

Hide Show

76.0 City-Wide
82.9 Brooklyn
28.0 Tract

Census Tract 3123700

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 28.0 19,077

Sex

Female 29.9 8,529
Male 35.0 10,546

Race/Ethnicity

Asian/Pacific Islander 0.0 66
Black 416.7 408
Hispanic 35.9 3,618
White 12.4 14,934

Age

0-14 years 10.7 9,556
15-24 years 38.3 2,274
25-34 years 26.3 3,234
35-44 years 23.4 2,944
45-54 years 126.4 538
55-64 years 239.7 242
65-74 years 253.6 138
75+ years 211.3 142
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.