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 3030500 Average

81.3

Averages

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76.0 City-Wide
82.9 Brooklyn
81.3 Tract

Census Tract 3030500

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Injury ER Visit Rate Population (2011-2013)
All 81.3 18,284

Sex

Female 76.7 10,140
Male 116.4 8,138

Race/Ethnicity

Asian/Pacific Islander 19.6 2,191
Black 98.2 8,256
Hispanic 118.7 2,401
White 84.6 4,931

Age

0-14 years 124.5 2,458
15-24 years 73.9 3,059
25-34 years 45.8 5,613
35-44 years 79.7 2,635
45-54 years 132.8 1,536
55-64 years 105.7 1,362
65-74 years 134.3 551
75+ years 61.3 1,060
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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.