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

Averages

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5.7 City-Wide

City Wide

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Avg Length of Stay (Days) Inpatient Admissions
All 5.7 2,722,322

Sex

Female 4.6 1,540,495
Male 6.0 1,181,827

Race/Ethnicity

Asian/Pacific Islander 4.7 177,562
Black 5.8 744,901
Hispanic 4.6 584,938
Other 5.1 457,201
White 4.7 757,720

Age

0-14 years 3.9 428,949
15-24 years 4.9 185,840
25-34 years 4.5 330,753
35-44 years 5.2 265,840
45-54 years 6.0 325,390
55-64 years 6.6 350,482
65-74 years 6.6 326,114
75+ years 7.0 508,954
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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.