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 3033300 Average

53.8

Averages

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76.0 City-Wide
82.9 Brooklyn
53.8 Tract

Census Tract 3033300

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Injury ER Visit Rate Population (2011-2013)
All 53.8 13,814

Sex

Female 61.5 6,506
Male 65.3 7,306

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 115.7 4,218
Hispanic 178.5 622
White 18.8 8,762

Age

0-14 years 40.0 4,251
15-24 years 33.8 2,987
25-34 years 79.7 1,607
35-44 years 82.0 1,086
45-54 years 69.3 1,444
55-64 years 73.0 1,260
65-74 years 38.4 834
75+ years 96.3 322
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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.