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 4079200 Average

57.1

Averages

Hide Show

76.0 City-Wide
51.9 Queens
57.1 Tract

Census Tract 4079200

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 57.1 6,426

Sex

Female 54.2 3,264
Male 77.5 3,162

Race/Ethnicity

Asian/Pacific Islander 43.5 897
Black 28.5 4,568
Hispanic 202.1 480
White 0.0 25

Age

0-14 years 52.1 1,633
15-24 years 70.7 820
25-34 years 65.1 830
35-44 years 89.3 627
45-54 years 50.2 876
55-64 years 44.8 736
65-74 years 42.5 447
75+ years 40.1 449
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.