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 3039800 Average

58.9

Averages

Hide Show

76.0 City-Wide
82.9 Brooklyn
58.9 Tract

Census Tract 3039800

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 58.9 6,995

Sex

Female 69.9 3,664
Male 71.2 3,330

Race/Ethnicity

Asian/Pacific Islander 10.7 3,186
Black 0.0 0
Hispanic 91.2 822
White 69.5 2,892

Age

0-14 years 107.7 966
15-24 years 102.7 555
25-34 years 73.2 861
35-44 years 35.3 1,020
45-54 years 52.2 1,131
55-64 years 44.9 1,113
65-74 years 33.4 778
75+ years 31.7 536
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.