Care services

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12293: Care services - additional key figures (M) 2015 - 2022

Dag Ragnvald Abrahamsen, Statistics Norway
+47 40 90 25 46
2023-03-15 08:00
Physiotherapyhours per week per resident of nursing homes (number):
number
Weekly physician hours per resident in nursing homes (hours):
hours
Andel langtidsbeboere 31.12 vurdert av lege siste år (per cent):
per cent
Andel beboere i institusjon av antall plasser (belegg) (per cent):
per cent
Korrigerte brutto driftsutgifter, institusjon, pr. kommunal plass (NOK):
NOK
Andel beboere 80 år og over i bolig m/ fast tilknyttet bemanning hele døgnet (per cent):
per cent
Percentage of residents 80 years and older who live in residence with staff all day (per cent):
per cent
Andel hjemmetjenestebrukere med høy timeinnsats (per cent):
per cent
Tidsbegrenset opphold - gjennomstrømning - opphold per plass (number):
number
Tidsbegrenset opphold - gjennomstrømning - personer per plass (number):
number
Tidsbegrenset opphold - gjennomsnittlig antall døgn per opphold (number):
number
Expenditures per bed in institutions, private institutions included (NOK):
NOK
Institution - share inhabitants 80 years and older on long-term stays in nursing homes (per cent):
per cent
Physiotherapyhours per week per resident of nursing homes (number):
31.12
Weekly physician hours per resident in nursing homes (hours):
31.12
Andel langtidsbeboere 31.12 vurdert av lege siste år (per cent):
31.12
Andel beboere i institusjon av antall plasser (belegg) (per cent):
31.12
Korrigerte brutto driftsutgifter, institusjon, pr. kommunal plass (NOK):
31.12
Andel beboere 80 år og over i bolig m/ fast tilknyttet bemanning hele døgnet (per cent):
31.12
Percentage of residents 80 years and older who live in residence with staff all day (per cent):
31.12
Andel hjemmetjenestebrukere med høy timeinnsats (per cent):
31.12
Tidsbegrenset opphold - gjennomstrømning - opphold per plass (number):
31.12
Tidsbegrenset opphold - gjennomstrømning - personer per plass (number):
31.12
Tidsbegrenset opphold - gjennomsnittlig antall døgn per opphold (number):
31.12
Expenditures per bed in institutions, private institutions included (NOK):
31.12
Institution - share inhabitants 80 years and older on long-term stays in nursing homes (per cent):
31.12
Statistics Norway
External QA database
Now you have come to the page, Choose variable. This page give you the oportunity to select which variables and values you want to display in your result of the table. A variable is a property of a statistical unit. The page is divided into several boxes, one for each variable, where you can select values by click to highlight one or more values. It always starts with the statistics variable which is the main value counted in the table.
Navigating with keyboard and screenreader. Select multiple object in row: SHIFT+arrow down/up. To select a single value in the listbox: Windows:Hold Ctrl + arrow down. Then release Ctrl and press space. Repeat. Mac:CMD+arrow down/up. Then release CMD and press spacebar. Repeat. (Works only in Chrome, not in Safari). To exit listbox with values selected, press TAB-key.
Field for searching for a specific value in the list box. This is examples of values you can search for.Physiotherapyhours per week per resident of nursing homes (number) , Weekly physician hours per resident in nursing homes (hours) , Andel langtidsbeboere 31.12 vurdert av lege siste år (per cent) ,

Selected 1 of total 13

Mandatory

Selected 1 of total 8

Number of selected data cells are:
(maximum number allowed is 300 000)
Number of selected cells exceeds the maximum allowed 300 000
Figures for the year 2021 were corrected on 28 June 2022.

1) Statistics Norway has recently revised its KOSTRA classification of municipalities. As before, the dimensions along which municipalities are classified are population size, economic workload, and economic capacity. Nevertheless, an update has been carried out as a result of the municipality reform, effective since 2020. The revision updates the composition and numbering of KOSTRA groups. The revision is discussed (Norwegian) in www.ssb.no/offentlig-sektor/artikler-og-publikasjoner/gruppering-av-kommuner-etter-folkemengde-og-okonomiske-rammebetingelser-2020. 2) User data (IPLOS): Figures from 2018 to 2019 may be influenced both by the municipal reform and introduction of new IPLOS specifications.
See list over changes in regional classifications (in Norwegian).