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 4044000 Average

87.5

Averages

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76.0 City-Wide
51.9 Queens
87.5 Tract

Census Tract 4044000

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Injury ER Visit Rate Population (2011-2013)
All 87.5 11,617

Sex

Female 75.9 6,627
Male 133.0 4,985

Race/Ethnicity

Asian/Pacific Islander 336.3 342
Black 49.9 8,272
Hispanic 168.7 1,482
White 0.0 54

Age

0-14 years 103.3 2,632
15-24 years 85.1 2,010
25-34 years 93.7 1,547
35-44 years 60.6 2,162
45-54 years 91.7 1,331
55-64 years 81.6 1,029
65-74 years 87.1 528
75+ years 126.4 364
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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.