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 3114400 Average

158.9

Averages

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76.0 City-Wide
82.9 Brooklyn
158.9 Tract

Census Tract 3114400

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Injury ER Visit Rate Population (2011-2013)
All 158.9 7,943

Sex

Female 154.1 4,212
Male 211.1 3,732

Race/Ethnicity

Asian/Pacific Islander 0.0 11
Black 146.0 5,268
Hispanic 106.2 2,534
White 0.0 12

Age

0-14 years 86.8 2,892
15-24 years 181.4 1,163
25-34 years 208.6 1,208
35-44 years 247.2 538
45-54 years 161.8 1,162
55-64 years 223.5 537
65-74 years 226.1 261
75+ years 279.1 172
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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.