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 4045500 Average

116.5

Averages

Hide Show

76.0 City-Wide
51.9 Queens
116.5 Tract

Census Tract 4045500

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 116.5 38,850

Sex

Female 110.4 20,442
Male 153.5 18,408

Race/Ethnicity

Asian/Pacific Islander 954.5 571
Black 52.2 18,636
Hispanic 119.9 12,440
White 200.1 6,760

Age

0-14 years 120.8 8,031
15-24 years 124.7 5,517
25-34 years 157.7 5,091
35-44 years 104.5 5,635
45-54 years 97.8 5,882
55-64 years 87.7 4,731
65-74 years 94.4 2,480
75+ years 170.6 1,471
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.