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 4003400 Average

68.1

Averages

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76.0 City-Wide
51.9 Queens
68.1 Tract

Census Tract 4003400

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Injury ER Visit Rate Population (2011-2013)
All 68.1 6,592

Sex

Female 64.6 3,454
Male 89.2 3,138

Race/Ethnicity

Asian/Pacific Islander 30.9 1,099
Black 371.7 417
Hispanic 36.1 3,793
White 89.5 972

Age

0-14 years 71.8 1,323
15-24 years 78.3 984
25-34 years 69.2 982
35-44 years 54.5 1,046
45-54 years 66.0 894
55-64 years 66.6 721
65-74 years 49.6 504
75+ years 150.4 133
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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.