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 2040900 Average

66.2

Averages

Hide Show

76.0 City-Wide
103.2 Bronx
66.2 Tract

Census Tract 2040900

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 66.2 11,010

Sex

Female 62.0 6,372
Male 91.7 4,637

Race/Ethnicity

Asian/Pacific Islander 50.0 280
Black 28.0 8,081
Hispanic 283.3 1,179
White 74.4 1,236

Age

0-14 years 90.8 2,092
15-24 years 82.3 1,471
25-34 years 71.4 1,442
35-44 years 83.7 1,195
45-54 years 61.0 1,673
55-64 years 37.5 1,628
65-74 years 41.5 626
75+ years 30.4 856
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.