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 2007700 Average

136.5

Averages

Hide Show

76.0 City-Wide
103.2 Bronx
136.5 Tract

Census Tract 2007700

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 136.5 5,568

Sex

Female 117.9 3,121
Male 208.5 2,446

Race/Ethnicity

Asian/Pacific Islander 0.0 92
Black 202.6 1,096
Hispanic 80.6 4,357
White 0.0 14

Age

0-14 years 126.6 1,327
15-24 years 129.1 1,038
25-34 years 173.3 658
35-44 years 80.0 1,012
45-54 years 149.2 724
55-64 years 196.8 442
65-74 years 268.0 153
75+ years 128.0 211
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.