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

North Macedonia
56.36
in 2019
Tonga
52.53
in 2019
North Macedonia rank
95th
Tonga rank
98th

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

  • North Macedonia
  • Tonga
0204060201520172019

How they compare

North Macedonia currently reports 56.36 against 52.53 in Tonga, a difference of 3.83.

That makes North Macedonia's figure about 1.1 times Tonga's.

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

North Macedonia ranks 95th and Tonga ranks 98th of 180 countries.

North Macedonia 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, North Macedonia or Tonga?
North Macedonia, at 56.36 against 52.53 in Tonga as of 2019.
What is the difference in paying taxes: postfiling index (0-100) (db17-20 methodology) - score between North Macedonia and Tonga?
3.83, with North Macedonia ahead.
How many years of comparable data are there for North Macedonia and Tonga?
5 years are reported by both, from 2015 to 2019.
How do North Macedonia and Tonga rank globally for paying taxes: postfiling index (0-100) (db17-20 methodology) - score?
North Macedonia ranks 95th and Tonga ranks 98th of 180 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.

Individual pages

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
182 places, 910 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.