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 3053000 Average

71.1

Averages

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76.0 City-Wide
82.9 Brooklyn
71.1 Tract

Census Tract 3053000

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Injury ER Visit Rate Population (2011-2013)
All 71.1 9,455

Sex

Female 72.5 4,610
Male 90.8 4,845

Race/Ethnicity

Asian/Pacific Islander 21.3 2,342
Black 332.6 487
Hispanic 331.3 335
White 55.3 6,225

Age

0-14 years 71.5 2,127
15-24 years 71.7 1,464
25-34 years 64.9 1,540
35-44 years 72.3 1,023
45-54 years 70.7 1,230
55-64 years 50.5 1,149
65-74 years 75.2 625
75+ years 170.7 287
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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.