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 1013400 Average

38.9

Averages

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76.0 City-Wide
65.8 Manhattan
38.9 Tract

Census Tract 1013400

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Injury ER Visit Rate Population (2011-2013)
All 38.9 31,923

Sex

Female 39.6 18,150
Male 53.2 13,770

Race/Ethnicity

Asian/Pacific Islander 17.1 1,759
Black 0.0 215
Hispanic 158.8 1,732
White 20.9 27,747

Age

0-14 years 83.6 3,039
15-24 years 71.0 1,902
25-34 years 27.7 8,418
35-44 years 28.7 5,719
45-54 years 47.0 3,363
55-64 years 28.4 4,644
65-74 years 23.4 3,167
75+ years 57.7 1,577
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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.