Argentina vs Palestine, State of: Registering property: Quality of land administration index (0-30)
Argentina
13.5 DB17-20 methodology
in 2019
Palestine, State of
13.5 DB17-20 methodology
in 2019
Argentina rank
99th
Palestine, State of rank
99th
Registering property: Quality of land administration index (0-30) over time
- Argentina
- Palestine, State of
How they compare
Argentina currently reports 13.5 DB17-20 methodology against 13.5 DB17-20 methodology in Palestine, State of, a difference of 0 DB17-20 methodology.
Across all 5 years both countries report, Palestine, State of has been ahead every year.
Argentina ranks 99th and Palestine, State of ranks 99th of 187 countries.
Palestine, State of 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), Argentina or Palestine, State of?
- Argentina, at 13.5 DB17-20 methodology against 13.5 DB17-20 methodology in Palestine, State of as of 2019.
- What is the difference in registering property: quality of land administration index (0-30) between Argentina and Palestine, State of?
- 0 DB17-20 methodology, with Argentina ahead.
- How many years of comparable data are there for Argentina and Palestine, State of?
- 5 years are reported by both, from 2015 to 2019.
- How do Argentina and Palestine, State of rank globally for registering property: quality of land administration index (0-30)?
- Argentina ranks 99th and Palestine, State of ranks 99th 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.