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

Laos
18.57
in 2019
Peru
19.24
in 2019
Laos rank
168th
Peru rank
166th

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

  • Laos
  • Peru
05101520201520172019

How they compare

Peru currently reports 19.24 against 18.57 in Laos, a difference of 0.67.

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

Laos ranks 168th and Peru ranks 166th of 183 countries.

Peru 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, Laos or Peru?
Peru, at 19.24 against 18.57 in Laos as of 2019.
What is the difference in paying taxes: postfiling index (0-100) (db17-20 methodology) - score between Laos and Peru?
0.67, with Peru ahead.
How many years of comparable data are there for Laos and Peru?
5 years are reported by both, from 2015 to 2019.
How do Laos and Peru rank globally for paying taxes: postfiling index (0-100) (db17-20 methodology) - score?
Laos ranks 168th 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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Laos 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/lao-pdr/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.