Papua New Guinea vs Saint Lucia: Paying taxes: Time to comply with corporate income tax correction
Paying taxes: Time to comply with corporate income tax correction over time
- Papua New Guinea
- Saint Lucia
How they compare
Papua New Guinea currently reports 4.5 DB17-20 methodology against 4.5 DB17-20 methodology in Saint Lucia, a difference of 0 DB17-20 methodology.
The two have swapped places 1 time across 5 shared years of data; in 2015 it was Papua New Guinea ahead.
Papua New Guinea ranks 111th and Saint Lucia ranks 111th of 181 countries.
Papua New Guinea has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher paying taxes: time to comply with corporate income tax correction, Papua New Guinea or Saint Lucia?
- Papua New Guinea, at 4.5 DB17-20 methodology against 4.5 DB17-20 methodology in Saint Lucia as of 2019.
- What is the difference in paying taxes: time to comply with corporate income tax correction between Papua New Guinea and Saint Lucia?
- 0 DB17-20 methodology, with Papua New Guinea ahead.
- How many years of comparable data are there for Papua New Guinea and Saint Lucia?
- 5 years are reported by both, from 2015 to 2019.
- How do Papua New Guinea and Saint Lucia rank globally for paying taxes: time to comply with corporate income tax correction?
- Papua New Guinea ranks 111th and Saint Lucia ranks 111th of 181 countries.
- Where does this data come from?
- The World Bank, published as Paying taxes: Time to comply with corporate income tax correction (hours) (DB17-20 methodology). Statizoid refreshes it automatically from the source and publishes the full history for both places.
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About this data
The time to comply with a corporate income tax correction measures the time spent preparing and submitting the correction, and the time spent preparing information for the tax officers, if, in 25% or more of cases, a company that voluntarily reports an error in its CIT return and an underpayment of the tax due would be selected for additional review. The component indicator is computed based on the methodology in the DB17-20 studies.