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 1016300 Average

31.9

Averages

Hide Show

76.0 City-Wide
65.8 Manhattan
31.9 Tract

Census Tract 1016300

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 31.9 21,178

Sex

Female 34.8 11,160
Male 43.9 10,017

Race/Ethnicity

Asian/Pacific Islander 16.7 2,215
Black 473.9 306
Hispanic 153.6 1,113
White 15.7 17,150

Age

0-14 years 51.9 2,295
15-24 years 68.5 1,459
25-34 years 29.0 4,075
35-44 years 29.3 3,346
45-54 years 35.1 2,509
55-64 years 18.8 3,409
65-74 years 25.0 2,000
75+ years 19.1 2,040
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.