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 4059200 Average

27.3

Averages

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76.0 City-Wide
51.9 Queens
27.3 Tract

Census Tract 4059200

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Injury ER Visit Rate Population (2011-2013)
All 27.3 3,925

Sex

Female 27.1 2,364
Male 44.9 1,560

Race/Ethnicity

Asian/Pacific Islander 0.0 10
Black 12.8 3,584
Hispanic 0.0 85
White 196.9 193

Age

0-14 years 77.5 413
15-24 years 23.2 475
25-34 years 27.0 666
35-44 years 45.1 399
45-54 years 12.6 795
55-64 years 20.0 549
65-74 years 5.2 381
75+ years 21.6 231
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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.