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 3050801 Average

134.0

Averages

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76.0 City-Wide
82.9 Brooklyn
134.0 Tract

Census Tract 3050801

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Injury ER Visit Rate Population (2011-2013)
All 134.0 11,852

Sex

Female 131.5 6,220
Male 182.2 5,620

Race/Ethnicity

Asian/Pacific Islander 93.3 654
Black 121.3 7,937
Hispanic 95.6 2,865
White 0.0 370

Age

0-14 years 175.3 1,962
15-24 years 116.6 2,145
25-34 years 100.7 2,403
35-44 years 110.2 1,888
45-54 years 116.5 2,026
55-64 years 209.6 830
65-74 years 177.5 400
75+ years 350.0 180
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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.