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AL 03020 The sickness benefit, cases by sex, age and category (2001-2010)

AL 03020 The sickness benefit, cases by sex, age and category (2001-2010)

Tables

Column Descriptions

Dim Kind, Al03020 The Sickness Benefit Cases By Sex Age And Category 2001 2010

Column Type Comment
code string The code for the dimension value. Column code has 6 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum string is DKK and maximum string is FRVSK.
label string The label for the dimension value. Column label has 6 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. First 25 characters of minimum string: Average absence days per ... and first 25 characters of maximum string: Benefit in DKK per recipi...
orig_extractdate string The date when the data was originally fetched from the source.

Fact, Al03020 The Sickness Benefit Cases By Sex Age And Category 2001 2010

Column Type Comment
sex string Datasource did not contain a description for sex. Column sex has 1440 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum string is F and maximum string is TOT.
age string Datasource did not contain a description for age. Column age has 1440 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum string is 16-19 and maximum string is 67+.
kind string Datasource did not contain a description for kind. Column kind has 1440 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum string is DKK and maximum string is FRM.
year int Datasource did not contain a description for year. Column year has 1440 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum value is 2001 and maximum value is 2010.
the_sickness_benefit_system int Datasource did not contain a description for The_sickness_benefit_system. Column the_sickness_benefit_system has 1440 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum value is 1 and maximum value is 97644.
orig_extractdate string The date when the data was originally fetched from the source.

Dim Age, Al03020 The Sickness Benefit Cases By Sex Age And Category 2001 2010

Column Type Comment
code string The code for the dimension value. Column code has 8 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum string is 16-19 and maximum string is 67+.
label string The label for the dimension value. Column label has 8 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum string is 16-19 years and maximum string is 67+ years.
orig_extractdate string The date when the data was originally fetched from the source.

Dim Sex, Al03020 The Sickness Benefit Cases By Sex Age And Category 2001 2010

Column Type Comment
code string The code for the dimension value. Column code has 3 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum string is F and maximum string is TOT.
label string The label for the dimension value. Column label has 3 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum string is Females and maximum string is Total (sex).
orig_extractdate string The date when the data was originally fetched from the source.

Dim Year, Al03020 The Sickness Benefit Cases By Sex Age And Category 2001 2010

Column Type Comment
code int The code for the dimension value. Column code has 10 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum value is 2001 and maximum value is 2010.
label int The label for the dimension value. Column label has 10 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum value is 2001 and maximum value is 2010.
orig_extractdate string The date when the data was originally fetched from the source.

Additional Info

Last Updated May 5, 2019
Created November 8, 2018