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 3112200 Average

170.7

Averages

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76.0 City-Wide
82.9 Brooklyn
170.7 Tract

Census Tract 3112200

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Injury ER Visit Rate Population (2011-2013)
All 170.7 8,741

Sex

Female 163.6 5,097
Male 253.6 3,643

Race/Ethnicity

Asian/Pacific Islander 169.8 159
Black 138.1 7,312
Hispanic 287.2 1,149
White 0.0 114

Age

0-14 years 154.9 2,001
15-24 years 184.8 1,488
25-34 years 230.2 1,125
35-44 years 119.6 1,471
45-54 years 172.8 1,192
55-64 years 147.3 991
65-74 years 204.1 294
75+ years 357.1 168
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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.