Jamaica vs Peru: Paying taxes: Postfiling index (0-100) (DB17-20 methodology) - Score

Jamaica
19.68
in 2019
Peru
19.24
in 2019
Jamaica rank
164th
Peru rank
166th

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

  • Jamaica
  • Peru
05101520201520172019

How they compare

Jamaica currently reports 19.68 against 19.24 in Peru, a difference of 0.44.

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

Jamaica ranks 164th and Peru ranks 166th of 183 countries.

Jamaica 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, Jamaica or Peru?
Jamaica, at 19.68 against 19.24 in Peru as of 2019.
What is the difference in paying taxes: postfiling index (0-100) (db17-20 methodology) - score between Jamaica and Peru?
0.44, with Jamaica ahead.
How many years of comparable data are there for Jamaica and Peru?
5 years are reported by both, from 2015 to 2019.
How do Jamaica and Peru rank globally for paying taxes: postfiling index (0-100) (db17-20 methodology) - score?
Jamaica ranks 164th and Peru ranks 166th 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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Jamaica vs Peru: 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/jamaica/peru/

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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.