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 3121000 Average

171.2

Averages

Hide Show

76.0 City-Wide
82.9 Brooklyn
171.2 Tract

Census Tract 3121000

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 171.2 12,946

Sex

Female 168.6 7,236
Male 243.5 5,705

Race/Ethnicity

Asian/Pacific Islander 558.6 145
Black 238.0 5,811
Hispanic 88.5 6,523
White 0.0 243

Age

0-14 years 151.1 3,189
15-24 years 136.8 2,902
25-34 years 413.3 963
35-44 years 132.0 2,000
45-54 years 154.7 1,797
55-64 years 170.7 1,119
65-74 years 209.3 540
75+ years 229.1 406
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.