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 3010400 Average

44.4

Averages

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76.0 City-Wide
82.9 Brooklyn
44.4 Tract

Census Tract 3010400

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Injury ER Visit Rate Population (2011-2013)
All 44.4 18,207

Sex

Female 50.3 8,793
Male 50.9 9,410

Race/Ethnicity

Asian/Pacific Islander 3.6 15,203
Black 0.0 90
Hispanic 153.1 1,365
White 237.7 1,262

Age

0-14 years 65.8 3,251
15-24 years 48.7 2,343
25-34 years 39.0 3,459
35-44 years 27.9 3,013
45-54 years 34.9 2,922
55-64 years 50.2 1,413
65-74 years 41.6 962
75+ years 59.5 824
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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.