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 3051500 Average

34.6

Averages

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76.0 City-Wide
82.9 Brooklyn
34.6 Tract

Census Tract 3051500

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Injury ER Visit Rate Population (2011-2013)
All 34.6 4,073

Sex

Female 36.0 2,418
Male 61.1 1,654

Race/Ethnicity

Asian/Pacific Islander 70.3 128
Black 0.0 5
Hispanic 37.7 1,221
White 16.2 2,352

Age

0-14 years 38.1 499
15-24 years 103.1 262
25-34 years 19.8 1,161
35-44 years 29.0 827
45-54 years 29.6 574
55-64 years 58.3 206
65-74 years 21.2 189
75+ years 43.0 349
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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.