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 1015500 Average

29.4

Averages

Hide Show

76.0 City-Wide
65.8 Manhattan
29.4 Tract

Census Tract 1015500

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 29.4 29,800

Sex

Female 29.0 16,286
Male 42.8 13,514

Race/Ethnicity

Asian/Pacific Islander 6.4 3,119
Black 377.1 480
Hispanic 148.2 1,437
White 15.1 23,834

Age

0-14 years 27.9 4,950
15-24 years 175.6 672
25-34 years 36.4 4,258
35-44 years 21.0 5,431
45-54 years 35.5 3,551
55-64 years 22.4 4,113
65-74 years 24.1 2,865
75+ years 16.0 3,934
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.