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 1021600 Average

94.6

Averages

Hide Show

76.0 City-Wide
65.8 Manhattan
94.6 Tract

Census Tract 1021600

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 94.6 24,221

Sex

Female 93.0 12,790
Male 121.3 11,430

Race/Ethnicity

Asian/Pacific Islander 53.4 1,087
Black 56.9 13,589
Hispanic 206.8 3,743
White 105.9 4,824

Age

0-14 years 95.6 4,269
15-24 years 92.4 3,473
25-34 years 81.6 5,012
35-44 years 75.4 4,245
45-54 years 93.8 3,187
55-64 years 148.2 1,835
65-74 years 139.5 1,061
75+ years 103.2 1,114
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.