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 1017100 Average

48.9

Averages

Hide Show

76.0 City-Wide
65.8 Manhattan
48.9 Tract

Census Tract 1017100

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 48.9 28,945

Sex

Female 49.4 15,220
Male 66.5 13,724

Race/Ethnicity

Asian/Pacific Islander 28.8 1,179
Black 197.7 1,710
Hispanic 166.8 2,560
White 22.4 22,732

Age

0-14 years 69.1 3,648
15-24 years 120.7 1,707
25-34 years 49.2 5,527
35-44 years 36.4 5,134
45-54 years 39.8 4,575
55-64 years 40.7 4,054
65-74 years 27.7 2,813
75+ years 49.2 1,462
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.