Germany vs Slovenia: Paying taxes: Time to obtain VAT refund (weeks) (DB17-20 methodology)

Germany
96.2
in 2019
Slovenia
96.2
in 2019
Germany rank
4th
Slovenia rank
4th

Paying taxes: Time to obtain VAT refund (weeks) (DB17-20 methodology) over time

  • Germany
  • Slovenia
020406080100201520172019

How they compare

Germany currently reports 96.2 against 96.2 in Slovenia, a difference of 0.

Across all 5 years both countries report, Slovenia has been ahead every year.

Germany ranks 4th and Slovenia ranks 4th of 157 countries.

Frequently asked questions

Which has higher paying taxes: time to obtain vat refund (weeks) (db17-20 methodology), Germany or Slovenia?
Germany, at 96.2 against 96.2 in Slovenia as of 2019.
What is the difference in paying taxes: time to obtain vat refund (weeks) (db17-20 methodology) between Germany and Slovenia?
0, with Germany ahead.
How many years of comparable data are there for Germany and Slovenia?
5 years are reported by both, from 2015 to 2019.
How do Germany and Slovenia rank globally for paying taxes: time to obtain vat refund (weeks) (db17-20 methodology)?
Germany ranks 4th and Slovenia ranks 4th of 157 countries.
Where does this data come from?
The World Bank, published as Paying taxes: Time to obtain VAT refund (weeks) (DB17-20 methodology) - Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Germany vs Slovenia: Paying taxes: Time to obtain VAT refund (weeks) (DB17-20 methodology). Statizoid. Retrieved 26 August 2026, from https://reference.statizoid.com/compare/paying-taxes-time-to-obtain-vat-refund-weeks-db17-20-methodology-score/germany/slovenia/

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About this data

Indicator
Paying taxes: Time to obtain VAT refund (weeks) (DB17-20 methodology) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
157 places, 785 data points, 2015–2019
Last refreshed

The score for time to obtain VAT refund benchmarks economies with respect to the regulatory best practice on the indicator. The score is indicated on a scale from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB17-20 studies.