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 2039600 Average

95.0

Averages

Hide Show

76.0 City-Wide
103.2 Bronx
95.0 Tract

Census Tract 2039600

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 95.0 11,446

Sex

Female 76.8 6,968
Male 151.8 4,474

Race/Ethnicity

Asian/Pacific Islander 211.1 180
Black 44.3 8,224
Hispanic 198.7 2,567
White 0.0 79

Age

0-14 years 84.1 3,020
15-24 years 105.6 1,866
25-34 years 141.5 1,138
35-44 years 66.3 2,098
45-54 years 95.7 1,431
55-64 years 128.3 834
65-74 years 103.6 531
75+ years 71.3 519
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.