Fiji vs Palau: Dealing with construction permits: Building quality control index

Fiji
46.67
in 2019
Palau
46.67
in 2019
Fiji rank
150th
Palau rank
150th

Dealing with construction permits: Building quality control index over time

  • Fiji
  • Palau
01020304050201420162019

How they compare

Fiji currently reports 46.67 against 46.67 in Palau, a difference of 0.

Across all 6 years both countries report, Palau has been ahead every year.

Fiji ranks 150th and Palau ranks 150th of 190 countries.

Frequently asked questions

Which has higher dealing with construction permits: building quality control index, Fiji or Palau?
Fiji, at 46.67 against 46.67 in Palau as of 2019.
What is the difference in dealing with construction permits: building quality control index between Fiji and Palau?
0, with Fiji ahead.
How many years of comparable data are there for Fiji and Palau?
6 years are reported by both, from 2014 to 2019.
How do Fiji and Palau rank globally for dealing with construction permits: building quality control index?
Fiji ranks 150th and Palau ranks 150th of 190 countries.
Where does this data come from?
The World Bank, published as Dealing with construction permits: Building quality control index (0-15) (DB16-20 methodology) - Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Fiji vs Palau: Dealing with construction permits: Building quality control index. Statizoid. Retrieved 21 August 2026, from https://private-sector.statizoid.com/compare/dealing-with-construction-permits-building-quality-control-index-0-15-db16-20-methodology/fiji/palau/

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About this data

Indicator
Dealing with construction permits: Building quality control index (0-15) (DB16-20 methodology) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
190 places, 1,139 data points, 2014–2019
Last refreshed

The score for the building quality control 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 DB16-20 studies.