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 3008000 Average

120.9

Averages

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76.0 City-Wide
82.9 Brooklyn
120.9 Tract

Census Tract 3008000

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Injury ER Visit Rate Population (2011-2013)
All 120.9 12,821

Sex

Female 119.2 6,537
Male 162.4 6,281

Race/Ethnicity

Asian/Pacific Islander 107.5 1,191
Black 0.0 134
Hispanic 45.4 10,098
White 505.0 1,299

Age

0-14 years 141.6 2,861
15-24 years 103.6 2,143
25-34 years 136.8 1,988
35-44 years 95.6 2,071
45-54 years 126.7 1,350
55-64 years 129.6 1,065
65-74 years 135.2 488
75+ years 94.3 827
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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.