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 3089600 Average

161.8

Averages

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76.0 City-Wide
82.9 Brooklyn
161.8 Tract

Census Tract 3089600

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Injury ER Visit Rate Population (2011-2013)
All 161.8 9,195

Sex

Female 159.0 5,050
Male 234.3 4,144

Race/Ethnicity

Asian/Pacific Islander 67.3 490
Black 144.0 7,960
Hispanic 678.2 432
White 964.7 170

Age

0-14 years 120.9 2,754
15-24 years 248.8 1,077
25-34 years 164.3 1,436
35-44 years 174.9 1,092
45-54 years 148.8 1,277
55-64 years 143.4 976
65-74 years 142.2 429
75+ years 479.2 144
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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.