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 1022700 Average

79.8

Averages

Hide Show

76.0 City-Wide
65.8 Manhattan
79.8 Tract

Census Tract 1022700

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 79.8 17,164

Sex

Female 79.5 9,260
Male 113.4 7,902

Race/Ethnicity

Asian/Pacific Islander 47.8 628
Black 48.2 9,577
Hispanic 109.0 4,451
White 153.7 1,998

Age

0-14 years 91.4 3,325
15-24 years 85.4 2,388
25-34 years 64.3 3,652
35-44 years 66.3 2,882
45-54 years 74.6 2,145
55-64 years 92.6 1,437
65-74 years 85.0 859
75+ years 160.8 429
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.