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 3086400 Average

81.5

Averages

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76.0 City-Wide
82.9 Brooklyn
81.5 Tract

Census Tract 3086400

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Injury ER Visit Rate Population (2011-2013)
All 81.5 7,641

Sex

Female 88.6 3,881
Male 108.0 3,758

Race/Ethnicity

Asian/Pacific Islander 0.0 52
Black 69.5 7,110
Hispanic 579.6 157
White 0.0 0

Age

0-14 years 88.8 1,521
15-24 years 140.2 856
25-34 years 79.3 1,287
35-44 years 80.9 1,038
45-54 years 73.5 1,061
55-64 years 41.5 1,059
65-74 years 67.4 519
75+ years 85.6 292
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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.