Oman vs Zambia: Paying taxes: Postfiling index (0-100) (DB17-20 methodology) - Score

Oman
85.32
in 2019
Zambia
85.94
in 2019
Oman rank
49th
Zambia rank
47th

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

  • Oman
  • Zambia
020406080201520172019

How they compare

Zambia currently reports 85.94 against 85.32 in Oman, a difference of 0.62.

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

Oman ranks 49th and Zambia ranks 47th of 183 countries.

Oman 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, Oman or Zambia?
Zambia, at 85.94 against 85.32 in Oman as of 2019.
What is the difference in paying taxes: postfiling index (0-100) (db17-20 methodology) - score between Oman and Zambia?
0.62, with Zambia ahead.
How many years of comparable data are there for Oman and Zambia?
5 years are reported by both, from 2015 to 2019.
How do Oman and Zambia rank globally for paying taxes: postfiling index (0-100) (db17-20 methodology) - score?
Oman ranks 49th and Zambia ranks 47th 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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Oman vs Zambia: 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/oman/zambia/

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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.