Afghanistan, Islamic Republic of vs Timor-Leste: Paying taxes: Postfiling index (0-100) (DB17-20 methodology) - Score
Afghanistan, Islamic Republic of
0
in 2019
Timor-Leste
1.38
in 2019
Afghanistan, Islamic Republic of rank
180th
Timor-Leste rank
179th
Paying taxes: Postfiling index (0-100) (DB17-20 methodology) - Score over time
- Afghanistan, Islamic Republic of
- Timor-Leste
How they compare
Timor-Leste currently reports 1.38 against 0 in Afghanistan, Islamic Republic of, a difference of 1.38.
The two have swapped places 2 times across 5 shared years of data; in 2015 it was Timor-Leste ahead.
Afghanistan, Islamic Republic of ranks 180th and Timor-Leste ranks 179th of 182 countries.
Timor-Leste 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, Afghanistan, Islamic Republic of or Timor-Leste?
- Timor-Leste, at 1.38 against 0 in Afghanistan, Islamic Republic of as of 2019.
- What is the difference in paying taxes: postfiling index (0-100) (db17-20 methodology) - score between Afghanistan, Islamic Republic of and Timor-Leste?
- 1.38, with Timor-Leste ahead.
- How many years of comparable data are there for Afghanistan, Islamic Republic of and Timor-Leste?
- 5 years are reported by both, from 2015 to 2019.
- How do Afghanistan, Islamic Republic of and Timor-Leste rank globally for paying taxes: postfiling index (0-100) (db17-20 methodology) - score?
- Afghanistan, Islamic Republic of ranks 180th and Timor-Leste ranks 179th of 182 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
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.