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 3069602 Average

41.3

Averages

Hide Show

76.0 City-Wide
82.9 Brooklyn
41.3 Tract

Census Tract 3069602

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 41.3 18,991

Sex

Female 45.4 9,391
Male 53.9 9,594

Race/Ethnicity

Asian/Pacific Islander 66.1 575
Black 119.5 2,870
Hispanic 50.8 2,916
White 23.1 12,616

Age

0-14 years 48.1 3,616
15-24 years 41.1 2,728
25-34 years 68.1 1,864
35-44 years 30.7 3,229
45-54 years 29.9 3,307
55-64 years 33.3 2,464
65-74 years 88.7 564
75+ years 33.9 1,208
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.