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 5015100 Average

69.3

Averages

Hide Show

76.0 City-Wide
108.7 Staten Island
69.3 Tract

Census Tract 5015100

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 69.3 16,189

Sex

Female 78.1 8,287
Male 93.1 7,898

Race/Ethnicity

Asian/Pacific Islander 26.5 1,244
Black 457.3 398
Hispanic 132.1 1,158
White 56.6 13,041

Age

0-14 years 60.0 3,281
15-24 years 100.6 1,879
25-34 years 108.8 1,811
35-44 years 46.6 2,703
45-54 years 62.7 2,458
55-64 years 88.6 1,456
65-74 years 46.0 1,436
75+ years 56.6 1,131
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.