Malta vs Tonga: Paying taxes: Postfiling index (0-100) (DB17-20 methodology) - Score

Malta
52.51
in 2019
Tonga
52.53
in 2019
Malta rank
101st
Tonga rank
100th

Paying taxes: Postfiling index (0-100) (DB17-20 methodology) - Score over time

  • Malta
  • Tonga
0204060201520172019

How they compare

Tonga currently reports 52.53 against 52.51 in Malta, a difference of 0.02.

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

Malta ranks 101st and Tonga ranks 100th of 183 countries.

Tonga has averaged higher in every one of the 1 decades both report.

Frequently asked questions

Which has higher paying taxes: postfiling index (0-100) (db17-20 methodology) - score, Malta or Tonga?
Tonga, at 52.53 against 52.51 in Malta as of 2019.
What is the difference in paying taxes: postfiling index (0-100) (db17-20 methodology) - score between Malta and Tonga?
0.02, with Tonga ahead.
How many years of comparable data are there for Malta and Tonga?
5 years are reported by both, from 2015 to 2019.
How do Malta and Tonga rank globally for paying taxes: postfiling index (0-100) (db17-20 methodology) - score?
Malta ranks 101st and Tonga ranks 100th of 183 countries.
Where does this data come from?
The World Bank, published as Paying taxes: Postfiling index (0-100) (DB17-20 methodology) - Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Malta vs Tonga: Paying taxes: Postfiling index (0-100) (DB17-20 methodology) - Score. Statizoid. Retrieved 25 September 2026, from https://reference.statizoid.com/compare/paying-taxes-postfiling-index-0-100-db17-20-methodology-score/malta/tonga/

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About this data

Indicator
Paying taxes: Postfiling index (0-100) (DB17-20 methodology) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
183 places, 915 data points, 2015–2019
Last refreshed

The score for postfiling index 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.