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 3112600 Average

127.1

Averages

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76.0 City-Wide
82.9 Brooklyn
127.1 Tract

Census Tract 3112600

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Injury ER Visit Rate Population (2011-2013)
All 127.1 10,956

Sex

Female 129.0 5,599
Male 167.1 5,356

Race/Ethnicity

Asian/Pacific Islander 163.5 208
Black 123.1 7,471
Hispanic 104.7 2,855
White 840.8 245

Age

0-14 years 105.8 2,759
15-24 years 94.0 2,373
25-34 years 240.2 999
35-44 years 115.8 1,580
45-54 years 143.2 1,418
55-64 years 133.8 994
65-74 years 132.4 544
75+ years 162.5 283
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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.