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 1015601 Average

35.0

Averages

Hide Show

76.0 City-Wide
65.8 Manhattan
35.0 Tract

Census Tract 1015601

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 35.0 16,438

Sex

Female 30.1 9,670
Male 55.7 6,765

Race/Ethnicity

Asian/Pacific Islander 8.7 2,194
Black 148.3 971
Hispanic 83.3 2,078
White 19.6 10,968

Age

0-14 years 94.2 1,147
15-24 years 52.2 1,608
25-34 years 14.5 6,777
35-44 years 19.8 3,127
45-54 years 39.0 1,591
55-64 years 51.4 1,362
65-74 years 98.0 541
75+ years 145.5 268
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.