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 1009800 Average

31.6

Averages

Hide Show

76.0 City-Wide
65.8 Manhattan
31.6 Tract

Census Tract 1009800

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 31.6 20,439

Sex

Female 30.4 11,189
Male 42.6 9,250

Race/Ethnicity

Asian/Pacific Islander 10.4 2,985
Black 481.8 274
Hispanic 76.1 1,354
White 18.5 15,551

Age

0-14 years 99.1 1,171
15-24 years 40.5 2,173
25-34 years 19.7 5,677
35-44 years 23.5 3,534
45-54 years 37.3 2,437
55-64 years 34.2 1,901
65-74 years 23.8 1,888
75+ years 27.5 1,636
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.