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 3008800 Average

117.2

Averages

Hide Show

76.0 City-Wide
82.9 Brooklyn
117.2 Tract

Census Tract 3008800

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 117.2 9,210

Sex

Female 121.4 4,326
Male 145.2 4,884

Race/Ethnicity

Asian/Pacific Islander 103.1 844
Black 0.0 45
Hispanic 51.2 5,505
White 181.7 2,510

Age

0-14 years 188.2 1,477
15-24 years 96.8 1,405
25-34 years 102.6 1,851
35-44 years 80.7 1,723
45-54 years 108.8 1,158
55-64 years 133.4 772
65-74 years 110.4 462
75+ years 157.3 356
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.