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 2002300 Average

202.6

Averages

Hide Show

76.0 City-Wide
103.2 Bronx
202.6 Tract

Census Tract 2002300

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 202.6 14,565

Sex

Female 185.5 8,890
Male 344.9 5,674

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 227.9 4,089
Hispanic 143.8 10,112
White 623.3 361

Age

0-14 years 215.4 3,153
15-24 years 202.5 2,533
25-34 years 281.5 1,627
35-44 years 235.6 1,609
45-54 years 179.4 2,325
55-64 years 210.7 1,220
65-74 years 117.3 1,228
75+ years 120.4 864
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.