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 3081600 Average

119.6

Averages

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76.0 City-Wide
82.9 Brooklyn
119.6 Tract

Census Tract 3081600

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Injury ER Visit Rate Population (2011-2013)
All 119.6 8,452

Sex

Female 109.5 4,748
Male 173.9 3,703

Race/Ethnicity

Asian/Pacific Islander 333.3 105
Black 94.4 7,194
Hispanic 250.3 739
White 0.0 132

Age

0-14 years 137.1 1,576
15-24 years 128.6 1,174
25-34 years 158.6 1,116
35-44 years 127.2 1,140
45-54 years 95.9 1,282
55-64 years 107.0 981
65-74 years 77.8 733
75+ years 83.3 444
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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.