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 4052500 Average

41.6

Averages

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76.0 City-Wide
51.9 Queens
41.6 Tract

Census Tract 4052500

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Injury ER Visit Rate Population (2011-2013)
All 41.6 5,606

Sex

Female 42.4 2,785
Male 53.9 2,820

Race/Ethnicity

Asian/Pacific Islander 69.4 245
Black 0.0 42
Hispanic 45.1 1,994
White 19.3 3,311

Age

0-14 years 45.7 1,115
15-24 years 69.8 559
25-34 years 49.1 937
35-44 years 29.2 925
45-54 years 29.7 843
55-64 years 19.1 890
65-74 years 44.8 223
75+ years 168.2 107
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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.