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 3116000 Average

139.8

Averages

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76.0 City-Wide
82.9 Brooklyn
139.8 Tract

Census Tract 3116000

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Injury ER Visit Rate Population (2011-2013)
All 139.8 6,910

Sex

Female 135.2 3,897
Male 209.8 3,013

Race/Ethnicity

Asian/Pacific Islander 0.0 20
Black 144.0 4,325
Hispanic 91.5 2,535
White 0.0 0

Age

0-14 years 125.3 1,724
15-24 years 136.1 1,212
25-34 years 145.5 1,065
35-44 years 137.8 907
45-54 years 162.0 784
55-64 years 150.2 639
65-74 years 134.3 350
75+ years 158.4 221
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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.