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 4008800 Average

34.7

Averages

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76.0 City-Wide
51.9 Queens
34.7 Tract

Census Tract 4008800

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Injury ER Visit Rate Population (2011-2013)
All 34.7 10,446

Sex

Female 30.5 5,375
Male 43.6 5,070

Race/Ethnicity

Asian/Pacific Islander 37.6 851
Black 201.5 541
Hispanic 21.9 4,649
White 21.3 4,220

Age

0-14 years 27.9 2,656
15-24 years 39.3 1,144
25-34 years 36.3 1,737
35-44 years 34.1 1,670
45-54 years 36.4 1,236
55-64 years 45.2 819
65-74 years 36.0 528
75+ years 34.1 645
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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.