In-patient Average Length Of Stay (days)

Eurostat code: hlth_co_inpst · (1995 - 2021)

@eurostat.hlth_co_inpst

Table List

2 tables(13.58 MB)

In-patient Average Length Of Stay (days) - Raw

In-patient Average Length Of Stay (days) - Unpivoted

In-patient Average Length Of Stay (days) - Unpivoted

@eurostat.hlth_co_inpst.tidy

This table contains the same data as the raw table, but in a tidy format: time period values are unpivoted into rows under a single time_period column, making the dataset easier to analyze and visualize.

6.85 MB
4481168 rows
9 columns

freq Freq	age Age	indic_he Indic He	unit Unit	sex Sex	icd10 Icd10	geo Geo	time_period Time Period	value Value
Annual	Total	In-patient average length of stay (in days)	Number	Females	All causes of diseases (A00-Z99) excluding V00-Y98	Portugal	1995	7.3
Annual	Total	In-patient average length of stay (in days)	Number	Females	All causes of diseases (A00-Z99) excluding V00-Y98 and Z38	Portugal	1995	7.7
Annual	Total	In-patient average length of stay (in days)	Number	Females	Intestinal infectious diseases except diarrhoea	Portugal	1995	9.7
Annual	Total	In-patient average length of stay (in days)	Number	Females	Diarrhoea and gastroenteritis of presumed infectious origin	Portugal	1995	4.1
Annual	Total	In-patient average length of stay (in days)	Number	Females	Tuberculosis	Portugal	1995	20.7
Annual	Total	In-patient average length of stay (in days)	Number	Females	Septicaemia	Portugal	1995	15.7
Annual	Total	In-patient average length of stay (in days)	Number	Females	Other pregnancy with abortive outcome (O00-O03,O05-O08)	Portugal	1995	2.4
Annual	Total	In-patient average length of stay (in days)	Number	Females	Other arthropathies (M00-M15, M18-M22 ,M24-M25)	Portugal	1995	14.1
Annual	Total	In-patient average length of stay (in days)	Number	Females	Certain infectious and parasitic diseases (A00-B99)	Portugal	1995	5.9
Annual	Total	In-patient average length of stay (in days)	Number	Females	Other infectious and parasitic diseases (remainder of A00-B99)	Portugal	1995	4.7


CREATE TABLE tidy (
  "freq" VARCHAR,
  "age" VARCHAR,
  "indic_he" VARCHAR,
  "unit" VARCHAR,
  "sex" VARCHAR,
  "icd10" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);

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