Italy vs Zimbabwe: Paying taxes: Postfiling index (0-100) (DB17-20 methodology) - Score

Italy
52.39
in 2019
Zimbabwe
52.38
in 2019
Italy rank
103rd
Zimbabwe rank
104th

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

  • Italy
  • Zimbabwe
0204060201520172019

How they compare

Italy currently reports 52.39 against 52.38 in Zimbabwe, a difference of 0.01.

The two have swapped places 1 time across 5 shared years of data; in 2015 it was Zimbabwe ahead.

Italy ranks 103rd and Zimbabwe ranks 104th of 183 countries.

Zimbabwe 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, Italy or Zimbabwe?
Italy, at 52.39 against 52.38 in Zimbabwe as of 2019.
What is the difference in paying taxes: postfiling index (0-100) (db17-20 methodology) - score between Italy and Zimbabwe?
0.01, with Italy ahead.
How many years of comparable data are there for Italy and Zimbabwe?
5 years are reported by both, from 2015 to 2019.
How do Italy and Zimbabwe rank globally for paying taxes: postfiling index (0-100) (db17-20 methodology) - score?
Italy ranks 103rd and Zimbabwe ranks 104th 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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Italy vs Zimbabwe: Paying taxes: Postfiling index (0-100) (DB17-20 methodology) - Score. Statizoid. Retrieved 15 November 2026, from https://reference.statizoid.com/compare/paying-taxes-postfiling-index-0-100-db17-20-methodology-score/italy/zimbabwe/

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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.