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 3117602 Average

109.5

Averages

Hide Show

76.0 City-Wide
82.9 Brooklyn
109.5 Tract

Census Tract 3117602

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 109.5 9,991

Sex

Female 101.2 5,393
Male 148.8 4,598

Race/Ethnicity

Asian/Pacific Islander 278.2 266
Black 235.2 1,671
Hispanic 53.1 6,704
White 179.1 1,167

Age

0-14 years 112.0 2,116
15-24 years 94.0 2,042
25-34 years 109.1 1,595
35-44 years 100.5 1,353
45-54 years 111.0 1,207
55-64 years 137.1 846
65-74 years 193.5 310
75+ years 95.5 471
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.