Statistical processing
Contact info
Public Finance, Economic StatisticsMarianne Ahle Møller
+45 24 66 00 28
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The data for this statistic is collected yearly via the main sources: central and local accounts. It is supplemented with internal data deliveries from insurance- and pensions subsectors, application matrixes, hours and days of absence from work, and an external data delivery on tax rates used for enumerating the statistic from the Ministry of Finance.
The collected data is validated via removal of potential errors, coding, and treatment processes leading to the final result, which, amongst other things, demands reviews and quality assurance of codes, expenditures and developments over time.
Source data
The main sources of the statistic are central and local accounts. This data is originally collected with the aim of mapping Government Finances. Supplementing data sources are insurance- and pensions subsectors in the financial sector, application matrixes from national accounts, hours and days of absence from work from the absence-statistics, and data on tax rates used for enumerating the statistic from the Ministry of Finance.
Frequency of data collection
Annually.
Data collection
The main sources of the statistics are originally collected with the aim of mapping Government Finances. This data is supplemented with data deliveries from insurance- and pensions subsectors, application matrixes, hours and days of absence from work and tax rates.
Data validation
Data is validated after data collection, in coding and potential estimation, and before data is published. Data is validated by reviewing and quality checking schemes, items, expenditures and developments in expenditures for individual years and time series.
The central and local accounts are modified every year, which demands consistent check-ups of relevant schemes, benefits and expenditures, and their actuality, in every data production.
Data compilation
When data is collected, it gets integrated via coding and potential estimates. Data is grouped, classified and coded according to the eight main areas of the statistics: Sickness/Health care, Disability, Old age, Survivors, Family/Children, Unemployment, Housing and Social exclusion not elsewhere classified.
Data is validated by reviewing and quality checking schemes, items, expenditures and developments in expenditures for individual years and time series. This validation process is applied when data is collected, during the coding-process and before data is published in the form of two tables in the statistics bank.
Data is treated and validated anew for every production. In every production, data is validated and potentially corrected two years back in time.
Adjustment
Data is treated and validated anew for every production. In every production, data is validated and potentially corrected two years back in time.