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 3028800 Average

64.8

Averages

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76.0 City-Wide
82.9 Brooklyn
64.8 Tract

Census Tract 3028800

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Injury ER Visit Rate Population (2011-2013)
All 64.8 8,554

Sex

Female 62.8 4,330
Male 95.8 4,216

Race/Ethnicity

Asian/Pacific Islander 11.2 3,574
Black 0.0 21
Hispanic 117.4 1,022
White 74.1 3,805

Age

0-14 years 106.7 1,396
15-24 years 67.7 1,226
25-34 years 70.5 1,220
35-44 years 46.3 1,188
45-54 years 53.8 1,153
55-64 years 64.8 725
65-74 years 35.9 1,003
75+ years 59.0 610
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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.