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 3016100 Average

42.6

Averages

Hide Show

76.0 City-Wide
82.9 Brooklyn
42.6 Tract

Census Tract 3016100

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 42.6 9,500

Sex

Female 39.9 4,962
Male 56.0 4,535

Race/Ethnicity

Asian/Pacific Islander 27.9 718
Black 91.4 1,587
Hispanic 62.7 1,339
White 24.6 5,567

Age

0-14 years 111.0 766
15-24 years 85.2 681
25-34 years 23.4 3,252
35-44 years 28.6 1,786
45-54 years 61.2 898
55-64 years 27.0 1,036
65-74 years 29.5 644
75+ years 79.1 417
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.