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 3025100 Average

140.4

Averages

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76.0 City-Wide
82.9 Brooklyn
140.4 Tract

Census Tract 3025100

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Injury ER Visit Rate Population (2011-2013)
All 140.4 10,797

Sex

Female 144.5 5,406
Male 178.1 5,391

Race/Ethnicity

Asian/Pacific Islander 116.1 336
Black 102.6 7,864
Hispanic 244.3 1,314
White 514.7 680

Age

0-14 years 155.2 2,100
15-24 years 109.8 2,158
25-34 years 157.7 1,909
35-44 years 122.3 1,545
45-54 years 171.6 1,119
55-64 years 130.9 1,001
65-74 years 118.4 642
75+ years 209.8 305
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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.