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Gini coefficient of equivalised disposable income - EU-SILC survey

Gini coefficient of equivalised disposable income - EU-SILC survey

Tables

Column Descriptions

Fact, Tessi190 px, Full history

Column Type Comment
geo string Datasource did not contain a description for geo. Column geo has 456 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum string is AT and maximum string is UK.
time int Datasource did not contain a description for time. Column time has 456 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum value is 2007 and maximum value is 2018.
gini_coefficient_of_equivalised_disposable_income_eusilc_survey int Datasource did not contain a description for Gini_coefficient_of_equivalised_disposable_income_EUSILC_survey. Column gini_coefficient_of_equivalised_disposable_income_eusilc_survey has 456 rows, out of which 44 are empty, making the null percent 9.65. Minimum value is 22 and maximum value is 44.
orig_extractdate string The date when the data was originally fetched from the source.

Fact, Tessi190 px, Latest

Column Type Comment
geo string Datasource did not contain a description for geo. Column geo has 456 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum string is AT and maximum string is UK.
time int Datasource did not contain a description for time. Column time has 456 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum value is 2007 and maximum value is 2018.
gini_coefficient_of_equivalised_disposable_income_eusilc_survey int Datasource did not contain a description for Gini_coefficient_of_equivalised_disposable_income_EUSILC_survey. Column gini_coefficient_of_equivalised_disposable_income_eusilc_survey has 456 rows, out of which 44 are empty, making the null percent 9.65. Minimum value is 22 and maximum value is 44.

Dim geo, Tessi190 px, Latest

Column Type Comment
code string The code for the dimension value. Column code has 38 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum string is AT and maximum string is UK.
label string The label for the dimension value. Column label has 38 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum string is Austria and maximum string is United Kingdom.

Dim geo, Tessi190 px, Full history

Column Type Comment
code string The code for the dimension value. Column code has 38 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum string is AT and maximum string is UK.
label string The label for the dimension value. Column label has 38 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum string is Austria and maximum string is United Kingdom.
orig_extractdate string The date when the data was originally fetched from the source.

Dim time, Tessi190 px, Full history

Column Type Comment
code int The code for the dimension value. Column code has 12 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum value is 2007 and maximum value is 2018.
label int The label for the dimension value. Column label has 12 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum value is 2007 and maximum value is 2018.
orig_extractdate string The date when the data was originally fetched from the source.

Dim time, Tessi190 px, Latest

Column Type Comment
code int The code for the dimension value. Column code has 12 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum value is 2007 and maximum value is 2018.
label int The label for the dimension value. Column label has 12 rows, out of which 0 are empty, making the null percent 0.00. The column is fully populated. Minimum value is 2007 and maximum value is 2018.

Additional Info

Last Updated July 21, 2019
Created July 13, 2019