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 5002100 Average

205.1

Averages

Hide Show

76.0 City-Wide
108.7 Staten Island
205.1 Tract

Census Tract 5002100

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 205.1 11,294

Sex

Female 252.3 5,017
Male 245.7 6,273

Race/Ethnicity

Asian/Pacific Islander 116.3 576
Black 169.4 2,438
Hispanic 74.6 4,664
White 443.4 3,252

Age

0-14 years 213.6 1,985
15-24 years 218.9 1,759
25-34 years 147.8 2,300
35-44 years 184.6 1,939
45-54 years 210.7 1,405
55-64 years 224.5 1,029
65-74 years 423.5 340
75+ years 260.9 529
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.