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 3035500 Average

109.6

Averages

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76.0 City-Wide
82.9 Brooklyn
109.6 Tract

Census Tract 3035500

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Injury ER Visit Rate Population (2011-2013)
All 109.6 14,673

Sex

Female 111.8 8,079
Male 155.4 6,594

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 100.5 11,263
Hispanic 155.8 1,598
White 182.5 1,710

Age

0-14 years 101.7 3,332
15-24 years 94.3 2,247
25-34 years 119.1 2,225
35-44 years 99.0 2,152
45-54 years 126.6 1,967
55-64 years 124.3 1,408
65-74 years 96.1 718
75+ years 141.9 606
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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.