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 1007400 Average

25.1

Averages

Hide Show

76.0 City-Wide
65.8 Manhattan
25.1 Tract

Census Tract 1007400

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 25.1 12,851

Sex

Female 27.0 7,362
Male 34.8 5,487

Race/Ethnicity

Asian/Pacific Islander 10.1 1,972
Black 340.7 270
Hispanic 115.9 699
White 12.9 9,400

Age

0-14 years 83.7 765
15-24 years 13.8 2,688
25-34 years 13.6 4,327
35-44 years 26.2 1,986
45-54 years 48.6 864
55-64 years 32.5 1,016
65-74 years 15.1 927
75+ years 85.7 245
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.