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 3117400 Average

121.7

Averages

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76.0 City-Wide
82.9 Brooklyn
121.7 Tract

Census Tract 3117400

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Injury ER Visit Rate Population (2011-2013)
All 121.7 12,272

Sex

Female 124.3 5,831
Male 151.4 6,441

Race/Ethnicity

Asian/Pacific Islander 64.5 1,086
Black 292.5 2,311
Hispanic 52.4 8,492
White 672.9 373

Age

0-14 years 129.1 2,340
15-24 years 103.7 2,410
25-34 years 117.5 2,239
35-44 years 131.1 1,548
45-54 years 114.9 1,898
55-64 years 136.5 982
65-74 years 109.2 568
75+ years 217.5 285
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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.