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 4050201 Average

51.5

Averages

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76.0 City-Wide
51.9 Queens
51.5 Tract

Census Tract 4050201

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Injury ER Visit Rate Population (2011-2013)
All 51.5 4,952

Sex

Female 43.5 2,874
Male 78.5 2,076

Race/Ethnicity

Asian/Pacific Islander 93.8 480
Black 32.3 3,528
Hispanic 70.9 790
White 0.0 10

Age

0-14 years 105.2 846
15-24 years 37.3 991
25-34 years 40.0 575
35-44 years 44.7 559
45-54 years 39.6 883
55-64 years 36.4 550
65-74 years 79.4 214
75+ years 28.5 316
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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.