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 3012100 Average

50.2

Averages

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76.0 City-Wide
82.9 Brooklyn
50.2 Tract

Census Tract 3012100

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Injury ER Visit Rate Population (2011-2013)
All 50.2 5,872

Sex

Female 51.9 2,835
Male 61.9 3,037

Race/Ethnicity

Asian/Pacific Islander 28.8 417
Black 0.0 83
Hispanic 41.8 2,079
White 41.2 3,129

Age

0-14 years 117.5 587
15-24 years 70.3 711
25-34 years 24.7 1,866
35-44 years 42.8 865
45-54 years 64.4 606
55-64 years 25.6 898
65-74 years 103.4 145
75+ years 95.2 168
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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.