Montenegro vs United States of America: Registering property: Quality of land administration index (0-30)
Montenegro
58.33
in 2019
United States of America
58.67
in 2019
Montenegro rank
72nd
United States of America rank
71st
Registering property: Quality of land administration index (0-30) over time
- Montenegro
- United States of America
How they compare
United States of America currently reports 58.67 against 58.33 in Montenegro, a difference of 0.34.
Across all 5 years both countries report, United States of America has been ahead every year.
Montenegro ranks 72nd and United States of America ranks 71st of 191 countries.
United States of America 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), Montenegro or United States of America?
- United States of America, at 58.67 against 58.33 in Montenegro as of 2019.
- What is the difference in registering property: quality of land administration index (0-30) between Montenegro and United States of America?
- 0.34, with United States of America ahead.
- How many years of comparable data are there for Montenegro and United States of America?
- 5 years are reported by both, from 2015 to 2019.
- How do Montenegro and United States of America rank globally for registering property: quality of land administration index (0-30)?
- Montenegro ranks 72nd and United States of America ranks 71st of 191 countries.
- Where does this data come from?
- The World Bank, published as Registering property: Quality of land administration index (0-30) (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 the quality of land administration index benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges 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.