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 3117202 Average

130.9

Averages

Hide Show

76.0 City-Wide
82.9 Brooklyn
130.9 Tract

Census Tract 3117202

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 130.9 11,016

Sex

Female 118.9 5,711
Male 176.8 5,305

Race/Ethnicity

Asian/Pacific Islander 247.0 247
Black 185.5 3,186
Hispanic 62.6 6,820
White 501.7 606

Age

0-14 years 114.1 2,770
15-24 years 137.3 1,785
25-34 years 146.0 1,562
35-44 years 108.6 1,787
45-54 years 132.1 1,416
55-64 years 237.5 560
65-74 years 93.3 900
75+ years 248.9 221
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.