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

Lithuania
94.27
in 2019
Yemen
94.27
in 2019
Lithuania rank
7th
Yemen rank
7th

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

  • Lithuania
  • Yemen
020406080100201520172019

How they compare

Lithuania currently reports 94.27 against 94.27 in Yemen, a difference of 0.

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

Lithuania ranks 7th and Yemen ranks 7th of 157 countries.

Frequently asked questions

Which has higher paying taxes: time to obtain vat refund (weeks) (db17-20 methodology), Lithuania or Yemen?
Lithuania, at 94.27 against 94.27 in Yemen as of 2019.
What is the difference in paying taxes: time to obtain vat refund (weeks) (db17-20 methodology) between Lithuania and Yemen?
0, with Lithuania ahead.
How many years of comparable data are there for Lithuania and Yemen?
5 years are reported by both, from 2015 to 2019.
How do Lithuania and Yemen rank globally for paying taxes: time to obtain vat refund (weeks) (db17-20 methodology)?
Lithuania ranks 7th and Yemen ranks 7th 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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Lithuania vs Yemen: Paying taxes: Time to obtain VAT refund (weeks) (DB17-20 methodology). Statizoid. Retrieved 25 August 2026, from https://reference.statizoid.com/compare/paying-taxes-time-to-obtain-vat-refund-weeks-db17-20-methodology-score/lithuania/yemen-rep/

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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.