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 4028500 Average

44.2

Averages

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76.0 City-Wide
51.9 Queens
44.2 Tract

Census Tract 4028500

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Injury ER Visit Rate Population (2011-2013)
All 44.2 13,905

Sex

Female 44.4 6,796
Male 55.3 7,108

Race/Ethnicity

Asian/Pacific Islander 25.5 2,475
Black 0.0 45
Hispanic 48.7 4,864
White 34.4 6,309

Age

0-14 years 69.8 1,933
15-24 years 76.6 940
25-34 years 41.3 2,443
35-44 years 38.4 2,161
45-54 years 40.7 2,480
55-64 years 35.5 1,805
65-74 years 25.6 1,171
75+ years 29.5 948
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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.