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 4120500 Average

49.6

Averages

Hide Show

76.0 City-Wide
51.9 Queens
49.6 Tract

Census Tract 4120500

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 49.6 7,809

Sex

Female 42.3 4,018
Male 67.3 3,788

Race/Ethnicity

Asian/Pacific Islander 10.0 6,006
Black 456.6 173
Hispanic 277.2 451
White 124.4 836

Age

0-14 years 75.7 1,163
15-24 years 151.6 376
25-34 years 77.2 855
35-44 years 32.4 1,388
45-54 years 42.0 952
55-64 years 32.3 899
65-74 years 37.4 775
75+ years 24.3 1,360
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.