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 4077908 Average

58.4

Averages

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76.0 City-Wide
51.9 Queens
58.4 Tract

Census Tract 4077908

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Injury ER Visit Rate Population (2011-2013)
All 58.4 11,381

Sex

Female 67.8 5,104
Male 68.7 6,274

Race/Ethnicity

Asian/Pacific Islander 33.3 3,005
Black 69.3 2,726
Hispanic 69.8 2,262
White 71.5 2,841

Age

0-14 years 59.9 2,821
15-24 years 60.1 1,846
25-34 years 53.9 1,615
35-44 years 35.0 2,060
45-54 years 63.5 1,196
55-64 years 82.8 857
65-74 years 70.9 578
75+ years 99.2 383
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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.