New York City Health Atlas

Length of Stay

Compare This Metric

Description

Average length of a hospital stay in days.


Calculation

Average length of a hospital stay in days.


Source

Statewide Planning and Research Cooperative System (SPARCS) Inpatient Data, 2011-2013.


Years of Data

2011-2013


Additional Resources

City Wide Average

5.7

3810 (Districts 101 & 102) Average

5.4

Averages

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5.7 City-Wide
5.8 Manhattan
5.4 3810 (Districts 101 & 102)

3810 (Districts 101 & 102)

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Avg Length of Stay (Days) Inpatient Admissions
All 5.4 26,655

Sex

Female 4.5 14,951
Male 5.9 11,704

Race/Ethnicity

Asian/Pacific Islander 4.0 2,679
Black 5.7 4,238
Hispanic 5.0 4,610
Other 5.1 6,745
White 4.6 8,383

Age

0-14 years 3.9 4,783
15-24 years 5.0 1,424
25-34 years 4.7 3,607
35-44 years 4.6 2,997
45-54 years 5.8 2,975
55-64 years 6.0 3,314
65-74 years 6.4 3,100
75+ years 6.5 4,455
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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.