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

Census Tract 1002202 Average

4.9

Averages

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5.7 City-Wide
5.8 Manhattan
4.9 Tract

Census Tract 1002202

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Avg Length of Stay (Days) Inpatient Admissions
All 4.9 658

Sex

Female 6.4 376
Male 6.5 316

Race/Ethnicity

Asian/Pacific Islander 3.5 67
Black 5.8 116
Hispanic 4.5 154
Other 3.6 144
White 4.7 177

Age

0-14 years 3.0 96
15-24 years 6.1 40
25-34 years 3.0 71
35-44 years 3.9 78
45-54 years 5.0 104
55-64 years 5.8 86
65-74 years 5.7 74
75+ years 6.8 109
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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.