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 3028700 Average

130.4

Averages

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76.0 City-Wide
82.9 Brooklyn
130.4 Tract

Census Tract 3028700

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Injury ER Visit Rate Population (2011-2013)
All 130.4 8,609

Sex

Female 128.7 4,959
Male 192.4 3,644

Race/Ethnicity

Asian/Pacific Islander 28.5 738
Black 124.0 4,354
Hispanic 132.8 2,335
White 264.4 953

Age

0-14 years 112.0 2,117
15-24 years 160.1 1,149
25-34 years 97.4 1,941
35-44 years 215.0 693
45-54 years 158.5 934
55-64 years 104.9 1,096
65-74 years 112.4 418
75+ years 210.9 256
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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.