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 4060000 Average

45.2

Averages

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76.0 City-Wide
51.9 Queens
45.2 Tract

Census Tract 4060000

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Injury ER Visit Rate Population (2011-2013)
All 45.2 2,898

Sex

Female 38.0 1,581
Male 69.9 1,317

Race/Ethnicity

Asian/Pacific Islander 0.0 7
Black 20.3 2,665
Hispanic 201.4 139
White 0.0 27

Age

0-14 years 79.0 291
15-24 years 41.2 583
25-34 years 126.3 190
35-44 years 43.3 277
45-54 years 26.3 685
55-64 years 79.5 151
65-74 years 23.4 427
75+ years 28.1 285
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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.