Antigua and Barbuda vs Thailand: Registering property: Quality of land administration index (0-30)
Antigua and Barbuda
19 DB17-20 methodology
in 2019
Thailand
19 DB17-20 methodology
in 2019
Antigua and Barbuda rank
62nd
Thailand rank
62nd
Registering property: Quality of land administration index (0-30) over time
- Antigua and Barbuda
- Thailand
How they compare
Antigua and Barbuda currently reports 19 DB17-20 methodology against 19 DB17-20 methodology in Thailand, a difference of 0 DB17-20 methodology.
The two have swapped places 1 time across 5 shared years of data; in 2015 it was Antigua and Barbuda ahead.
Antigua and Barbuda ranks 62nd and Thailand ranks 62nd of 187 countries.
Antigua and Barbuda has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher registering property: quality of land administration index (0-30), Antigua and Barbuda or Thailand?
- Antigua and Barbuda, at 19 DB17-20 methodology against 19 DB17-20 methodology in Thailand as of 2019.
- What is the difference in registering property: quality of land administration index (0-30) between Antigua and Barbuda and Thailand?
- 0 DB17-20 methodology, with Antigua and Barbuda ahead.
- How many years of comparable data are there for Antigua and Barbuda and Thailand?
- 5 years are reported by both, from 2015 to 2019.
- How do Antigua and Barbuda and Thailand rank globally for registering property: quality of land administration index (0-30)?
- Antigua and Barbuda ranks 62nd and Thailand ranks 62nd of 187 countries.
- Where does this data come from?
- The World Bank, published as Registering property: Quality of land administration index (0-30) (DB17-20 methodology). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The quality of land administration index is the sum of the reliability of infrastructure, transparency of information, geographic coverage, land dispute resolution and equal access to property rights. The score is computed based on the methodology in the DB17-20 studies.