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 1002202 Average

71.6

Averages

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76.0 City-Wide
65.8 Manhattan
71.6 Tract

Census Tract 1002202

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Injury ER Visit Rate Population (2011-2013)
All 71.6 6,620

Sex

Female 70.8 3,248
Male 98.2 3,372

Race/Ethnicity

Asian/Pacific Islander 22.5 1,692
Black 218.1 408
Hispanic 181.8 825
White 54.5 3,560

Age

0-14 years 147.0 517
15-24 years 69.0 985
25-34 years 36.3 2,509
35-44 years 75.5 980
45-54 years 47.7 985
55-64 years 181.8 330
65-74 years 121.4 280
75+ years 0.0 18
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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.