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 4009400 Average

67.9

Averages

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76.0 City-Wide
51.9 Queens
67.9 Tract

Census Tract 4009400

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Injury ER Visit Rate Population (2011-2013)
All 67.9 8,665

Sex

Female 67.2 4,494
Male 87.0 4,171

Race/Ethnicity

Asian/Pacific Islander 13.8 4,216
Black 170.5 1,144
Hispanic 70.1 2,112
White 228.3 644

Age

0-14 years 99.6 1,405
15-24 years 47.4 1,837
25-34 years 96.2 1,091
35-44 years 40.9 1,711
45-54 years 57.1 1,295
55-64 years 85.0 682
65-74 years 72.7 454
75+ years 113.5 185
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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.