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 4069400 Average

48.2

Averages

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76.0 City-Wide
51.9 Queens
48.2 Tract

Census Tract 4069400

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Injury ER Visit Rate Population (2011-2013)
All 48.2 8,219

Sex

Female 45.7 4,570
Male 65.5 3,649

Race/Ethnicity

Asian/Pacific Islander 267.8 183
Black 22.9 6,808
Hispanic 100.5 806
White 312.0 266

Age

0-14 years 58.8 1,787
15-24 years 52.6 1,045
25-34 years 42.6 1,525
35-44 years 43.2 996
45-54 years 48.2 1,182
55-64 years 45.4 815
65-74 years 45.0 311
75+ years 36.6 546
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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.