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 4052800 Average

72.5

Averages

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76.0 City-Wide
51.9 Queens
72.5 Tract

Census Tract 4052800

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Injury ER Visit Rate Population (2011-2013)
All 72.5 3,972

Sex

Female 70.3 2,232
Male 111.0 1,739

Race/Ethnicity

Asian/Pacific Islander 0.0 53
Black 36.4 3,517
Hispanic 176.6 334
White 0.0 30

Age

0-14 years 85.6 853
15-24 years 118.4 549
25-34 years 107.8 334
35-44 years 63.2 459
45-54 years 64.7 634
55-64 years 27.7 542
65-74 years 61.0 246
75+ years 41.8 335
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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.