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 1001001 Average

42.1

Averages

Hide Show

76.0 City-Wide
65.8 Manhattan
42.1 Tract

Census Tract 1001001

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 42.1 5,131

Sex

Female 47.6 2,458
Male 61.0 2,673

Race/Ethnicity

Asian/Pacific Islander 78.1 192
Black 0.0 79
Hispanic 60.7 1,021
White 28.4 3,734

Age

0-14 years 27.6 1,122
15-24 years 143.8 292
25-34 years 174.8 206
35-44 years 36.7 1,036
45-54 years 33.7 712
55-64 years 31.9 721
65-74 years 27.4 438
75+ years 18.1 552
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.