Sickness absence

To the Top
The 3 steps are Choose table, Choose variable and Show result. You are currently at Choose variables

08679: Sickness absence according to The labour force survey (LFC), by sex (per cent) (closed series) 1972 - 2017

Unn H. Høydahl, Statistics Norway
+47 409 02 377
2018-03-15 08:00
Sickness absence according to LFS:
per cent
Sickness absence according to LFS:
Statistics Norway
External PROD
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.

Selected 1 of total 1

Field for searching for a specific value in the list box. This is examples of values you can search for.1972 , 1973 , 1974 ,

Selected 1 of total 47

Selected 0 of total 3

Optional variable
Number of selected data cells are:
(maximum number allowed is 300 000)
Number of selected cells exceeds the maximum allowed 300 000
The sickness absence here is calculated as the number of employees aged 15-74 who have been absent mainly because of illness during the whole registration week in per cent om employees in total. As from 2006 the age limit to participate in the LFS was lowered from 16 to 15 years. At the same time the definition of age was changed from completed years at the end of the year to completed years at the time of the reference week. From the 1st quarter of 2015, the statistics on sickness absence is based on a new data source, A-ordningen. Therefore, there is a break in the series between 2014 and 2015.