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 3043300 Average

153.6

Averages

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76.0 City-Wide
82.9 Brooklyn
153.6 Tract

Census Tract 3043300

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Injury ER Visit Rate Population (2011-2013)
All 153.6 13,134

Sex

Female 155.3 6,948
Male 212.5 6,184

Race/Ethnicity

Asian/Pacific Islander 154.1 318
Black 0.0 579
Hispanic 68.5 11,396
White 457.5 800

Age

0-14 years 151.2 3,056
15-24 years 128.4 2,531
25-34 years 133.2 2,388
35-44 years 118.6 2,192
45-54 years 263.5 1,021
55-64 years 204.0 961
65-74 years 239.4 401
75+ years 161.3 564
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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.