Seychelles vs Thailand: Registering property (DB17-20 methodology) - Score

Seychelles
70.75
in 2019
Thailand
69.55
in 2019
Seychelles rank
64th
Thailand rank
66th

Registering property (DB17-20 methodology) - Score over time

  • Seychelles
  • Thailand
020406080201520172019

How they compare

Seychelles currently reports 70.75 against 69.55 in Thailand, a difference of 1.2.

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

Seychelles ranks 64th and Thailand ranks 66th of 188 countries.

Seychelles has averaged higher in every one of the 1 decades both report.

Frequently asked questions

Which has higher registering property (db17-20 methodology) - score, Seychelles or Thailand?
Seychelles, at 70.75 against 69.55 in Thailand as of 2019.
What is the difference in registering property (db17-20 methodology) - score between Seychelles and Thailand?
1.2, with Seychelles ahead.
How many years of comparable data are there for Seychelles and Thailand?
5 years are reported by both, from 2015 to 2019.
How do Seychelles and Thailand rank globally for registering property (db17-20 methodology) - score?
Seychelles ranks 64th and Thailand ranks 66th of 188 countries.
Where does this data come from?
The World Bank, published as Registering property (DB17-20 methodology) - Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Registering property (DB17-20 methodology) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
190 places, 950 data points, 2015–2019
Last refreshed

The score for registering property is the simple average of the scores for each of the component indicators: the procedures, time, cost to transfer property between two local companies, as well as the quality of land administration index that evaluates 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.