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

Zip Code 10013 Average

5.2

Averages

Hide Show

5.7 City-Wide
5.8 Manhattan
5.2 Zip Code 10013

Zip Code 10013

Hide Show

Avg Length of Stay (Days) Inpatient Admissions
All 5.2 7,011

Sex

Female 4.5 3,941
Male 5.8 3,070

Race/Ethnicity

Asian/Pacific Islander 4.7 2,210
Black 5.8 421
Hispanic 5.2 258
Other 5.3 1,384
White 5.1 2,738

Age

0-14 years 3.5 1,483
15-24 years 7.0 221
25-34 years 3.3 954
35-44 years 3.9 912
45-54 years 6.5 572
55-64 years 6.9 724
65-74 years 5.8 652
75+ years 7.0 1,493
Download Table (.CSV)

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.