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 3101400 Average

52.0

Averages

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76.0 City-Wide
82.9 Brooklyn
52.0 Tract

Census Tract 3101400

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Injury ER Visit Rate Population (2011-2013)
All 52.0 6,636

Sex

Female 50.5 3,745
Male 73.0 2,890

Race/Ethnicity

Asian/Pacific Islander 35.7 280
Black 39.1 5,862
Hispanic 379.3 174
White 284.3 306

Age

0-14 years 63.9 1,158
15-24 years 59.0 1,051
25-34 years 68.4 687
35-44 years 68.7 772
45-54 years 34.0 1,294
55-64 years 39.4 964
65-74 years 29.3 478
75+ years 58.3 223
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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.