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 4156700 Average

167.3

Averages

Hide Show

76.0 City-Wide
51.9 Queens
167.3 Tract

Census Tract 4156700

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 167.3 3,801

Sex

Female 215.9 1,552
Male 165.9 2,248

Race/Ethnicity

Asian/Pacific Islander 48.6 1,626
Black 304.5 808
Hispanic 290.0 538
White 234.1 709

Age

0-14 years 274.8 433
15-24 years 478.1 228
25-34 years 115.9 889
35-44 years 124.3 716
45-54 years 107.6 790
55-64 years 207.9 279
65-74 years 197.5 157
75+ years 137.7 305
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.