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 1001002 Average

149.1

Averages

Hide Show

76.0 City-Wide
65.8 Manhattan
149.1 Tract

Census Tract 1001002

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 149.1 19,089

Sex

Female 128.1 10,933
Male 221.2 8,154

Race/Ethnicity

Asian/Pacific Islander 83.8 2,710
Black 149.7 3,634
Hispanic 70.9 11,713
White 0.0 757

Age

0-14 years 143.2 2,878
15-24 years 134.3 2,769
25-34 years 220.5 2,644
35-44 years 191.1 2,235
45-54 years 133.5 3,117
55-64 years 149.5 2,007
65-74 years 109.2 1,823
75+ years 86.1 1,603
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.