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 5000300 Average

306.0

Averages

Hide Show

76.0 City-Wide
108.7 Staten Island
306.0 Tract

Census Tract 5000300

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 306.0 4,981

Sex

Female 317.5 2,545
Male 422.4 2,434

Race/Ethnicity

Asian/Pacific Islander 50.0 1,000
Black 354.4 745
Hispanic 294.8 848
White 415.9 2,253

Age

0-14 years 491.1 617
15-24 years 469.2 520
25-34 years 235.0 1,068
35-44 years 357.6 618
45-54 years 174.9 1,058
55-64 years 254.7 640
65-74 years 310.0 271
75+ years 432.0 169
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.