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 1030700 Average

40.5

Averages

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76.0 City-Wide
65.8 Manhattan
40.5 Tract

Census Tract 1030700

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Injury ER Visit Rate Population (2011-2013)
All 40.5 10,678

Sex

Female 50.0 5,025
Male 44.1 5,652

Race/Ethnicity

Asian/Pacific Islander 102.7 185
Black 190.2 447
Hispanic 41.4 3,478
White 16.3 6,316

Age

0-14 years 44.9 1,449
15-24 years 82.5 1,018
25-34 years 59.5 1,226
35-44 years 19.1 2,196
45-54 years 32.6 1,749
55-64 years 34.1 1,614
65-74 years 33.2 964
75+ years 53.0 453
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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.