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 3021100 Average

100.2

Averages

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76.0 City-Wide
82.9 Brooklyn
100.2 Tract

Census Tract 3021100

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Injury ER Visit Rate Population (2011-2013)
All 100.2 3,784

Sex

Female 139.5 1,448
Male 97.5 2,329

Race/Ethnicity

Asian/Pacific Islander 41.7 192
Black 127.8 1,440
Hispanic 46.5 1,591
White 179.1 508

Age

0-14 years 133.4 637
15-24 years 87.4 595
25-34 years 77.5 852
35-44 years 130.1 392
45-54 years 132.0 447
55-64 years 78.0 513
65-74 years 69.3 202
75+ years 90.2 133
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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.