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 3052600 Average

67.5

Averages

Hide Show

76.0 City-Wide
82.9 Brooklyn
67.5 Tract

Census Tract 3052600

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 67.5 13,337

Sex

Female 61.0 7,540
Male 104.9 5,797

Race/Ethnicity

Asian/Pacific Islander 38.9 1,955
Black 90.5 2,784
Hispanic 54.2 3,654
White 87.0 4,450

Age

0-14 years 121.8 1,929
15-24 years 57.6 2,502
25-34 years 45.3 2,515
35-44 years 50.3 2,029
45-54 years 79.0 1,494
55-64 years 53.3 1,614
65-74 years 68.4 673
75+ years 95.3 577
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.