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 3034200 Average

219.3

Averages

Hide Show

76.0 City-Wide
82.9 Brooklyn
219.3 Tract

Census Tract 3034200

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 219.3 16,228

Sex

Female 188.1 9,346
Male 332.9 6,881

Race/Ethnicity

Asian/Pacific Islander 399.7 668
Black 136.3 6,873
Hispanic 120.3 3,267
White 400.7 4,884

Age

0-14 years 304.1 2,338
15-24 years 191.8 2,768
25-34 years 443.5 1,238
35-44 years 325.2 1,270
45-54 years 226.8 2,152
55-64 years 260.5 1,547
65-74 years 115.7 1,962
75+ years 80.6 2,929
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.