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 3102600 Average

61.2

Averages

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76.0 City-Wide
82.9 Brooklyn
61.2 Tract

Census Tract 3102600

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Injury ER Visit Rate Population (2011-2013)
All 61.2 8,812

Sex

Female 54.2 5,125
Male 93.9 3,686

Race/Ethnicity

Asian/Pacific Islander 46.7 214
Black 43.3 7,951
Hispanic 370.8 267
White 286.4 426

Age

0-14 years 51.1 2,056
15-24 years 50.9 1,789
25-34 years 86.2 1,125
35-44 years 79.0 937
45-54 years 39.8 1,531
55-64 years 63.6 818
65-74 years 93.4 332
75+ years 131.5 213
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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.