Registering property: Quality of land administration index … 0-30 in Palestine

Palestine: Registering property: Quality of land administration index … 0-30 was 13.5 DB17-20 methodology in 2019. ▬ Flat

Latest (2019)
13.5 DB17-20 methodology
Change on year
down 3.6%
World rank
99th
of 187 countries
All-time high
14 DB17-20 methodology
in 2018
All-time low
13.5 DB17-20 methodology
in 2015
Years of data
5
2015–2019

Registering property: Quality of land administration index (0-30) in Palestine, 2015–2019

0510152015201720192015: 13.5 DB17-20 methodology2016: 13.5 DB17-20 methodology2017: 13.5 DB17-20 methodology2018: 14 DB17-20 methodology2019: 13.5 DB17-20 methodology

Source: World Bank. Measured in DB17-20 methodology.

Analysis

In 2019, registering property: quality of land administration index (0-30) in Palestine stood at 13.5 DB17-20 methodology. That is the lowest value across all 5 years on record.

The figure is down 3.6% on the previous year and unchanged over five years.

That places Palestine 99th out of 187 countries with data for 2019, putting it in the middle of the range.

Registering property: Quality of land administration index … 0-30 in Palestine, year by year

Annual values for Registering property: Quality of land administration index (0-30) (DB17-20 methodology) in Palestine, 2015 to 2019.
Year DB17-20 methodology Change
2015 13.5 DB17-20 methodology —
2016 13.5 DB17-20 methodology +0.0%
2017 13.5 DB17-20 methodology +0.0%
2018 14 DB17-20 methodology +3.7%
2019 13.5 DB17-20 methodology -3.6%

Palestine compared with similar countries

  • Palestine's 13.5 DB17-20 methodology is above the median for lower middle income countries, which is 9 DB17-20 methodology, 1.5× the median. (46 countries reporting)
  • Palestine's 13.5 DB17-20 methodology is below the median for Middle East, North Africa, Afghanistan & Pakistan, which is 13.75 DB17-20 methodology, 98% of the median. (22 countries reporting)

Countries ranked near Palestine

  1. 99 Argentina 13.5 DB17-20 methodology compare
  2. 99 Guatemala 13.5 DB17-20 methodology compare
  3. 99 Puerto Rico 13.5 DB17-20 methodology compare
  4. 99 Suriname 13.5 DB17-20 methodology compare
  5. 99 Tunisia 13.5 DB17-20 methodology compare

See the full ranking of 187 places →

More private sector data for Palestine

All data for Palestine →

Frequently asked questions

What is registering property: quality of land administration index (0-30) in Palestine?
Registering property: quality of land administration index (0-30) in Palestine was 13.5 DB17-20 methodology in 2019, according to the World Bank.
What is the highest registering property: quality of land administration index (0-30) recorded in Palestine?
The highest recorded value was 14 DB17-20 methodology in 2018.
What is the lowest registering property: quality of land administration index (0-30) recorded in Palestine?
The lowest recorded value was 13.5 DB17-20 methodology in 2015.
How does Palestine rank for registering property: quality of land administration index (0-30)?
Palestine ranks 99th out of 187 countries with data for 2019.
Where does this Palestine data come from?
The figures come from the World Bank, published as part of Registering property: Quality of land administration index (0-30) (DB17-20 methodology). Statizoid updates them automatically from the source API.

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Registering property: Quality of land administration index (0-30) in Palestine. Statizoid. Retrieved 08 November 2026, from https://private-sector.statizoid.com/stat/registering-property-quality-of-land-administration-index-0-30-db17-20-methodology/west-bank-and-gaza/

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About this data

Indicator
Registering property: Quality of land administration index (0-30) (DB17-20 methodology)
Unit
DB17-20 methodology
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
187 places, 935 data points, 2015–2019
Last refreshed

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.