Equatorial Guinea vs Finland: Paying taxes: Postfiling index (0-100) (DB17-20 methodology) - Score

Equatorial Guinea
93.12
in 2019
Finland
93.09
in 2019
Equatorial Guinea rank
26th
Finland rank
28th

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

  • Equatorial Guinea
  • Finland
020406080100201520172019

How they compare

Equatorial Guinea currently reports 93.12 against 93.09 in Finland, a difference of 0.03.

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

Equatorial Guinea ranks 26th and Finland ranks 28th of 180 countries.

Equatorial Guinea 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, Equatorial Guinea or Finland?
Equatorial Guinea, at 93.12 against 93.09 in Finland as of 2019.
What is the difference in paying taxes: postfiling index (0-100) (db17-20 methodology) - score between Equatorial Guinea and Finland?
0.03, with Equatorial Guinea ahead.
How many years of comparable data are there for Equatorial Guinea and Finland?
5 years are reported by both, from 2015 to 2019.
How do Equatorial Guinea and Finland rank globally for paying taxes: postfiling index (0-100) (db17-20 methodology) - score?
Equatorial Guinea ranks 26th and Finland ranks 28th 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.