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 3084800 Average

78.5

Averages

Hide Show

76.0 City-Wide
82.9 Brooklyn
78.5 Tract

Census Tract 3084800

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 78.5 5,978

Sex

Female 81.9 3,345
Male 109.8 2,632

Race/Ethnicity

Asian/Pacific Islander 0.0 44
Black 56.1 5,755
Hispanic 0.0 64
White 0.0 13

Age

0-14 years 79.4 1,209
15-24 years 64.9 1,048
25-34 years 83.6 933
35-44 years 97.1 525
45-54 years 69.2 1,026
55-64 years 136.3 433
65-74 years 75.4 411
75+ years 39.3 382
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.