Dealing with construction permits: Liability and insurance regimes in Mali

Mali: Dealing with construction permits: Liability and insurance regimes was 1.5 DB16-20 methodology in 2019. ▬ Flat

Latest (2019)
1.5 DB16-20 methodology
Change on year
unchanged
World rank
38th
of 185 countries
All-time high
1.5 DB16-20 methodology
in 2014
All-time low
1.5 DB16-20 methodology
in 2014
Years of data
6
2014–2019

Dealing with construction permits: Liability and insurance regimes in Mali, 2014–2019

00.511.52014201620192014: 1.5 DB16-20 methodology2015: 1.5 DB16-20 methodology2016: 1.5 DB16-20 methodology2017: 1.5 DB16-20 methodology2018: 1.5 DB16-20 methodology2019: 1.5 DB16-20 methodology

Source: World Bank. Measured in DB16-20 methodology.

Analysis

Mali recorded 1.5 DB16-20 methodology for dealing with construction permits: liability and insurance regimes in 2019. That is the highest value across all 6 years on record.

Compared with earlier readings it is unchanged over ten years.

That places Mali 38th out of 185 countries with data for 2019, putting it in the top quarter.

Dealing with construction permits: Liability and insurance regimes in Mali, year by year

Annual values for Dealing with construction permits: Liability and insurance regimes index (0-2) (DB16-20 methodology) in Mali, 2014 to 2019.
Year DB16-20 methodology Change
2014 1.5 DB16-20 methodology
2015 1.5 DB16-20 methodology +0.0%
2016 1.5 DB16-20 methodology +0.0%
2017 1.5 DB16-20 methodology +0.0%
2018 1.5 DB16-20 methodology +0.0%
2019 1.5 DB16-20 methodology +0.0%

Countries ranked near Mali

  1. 38 Iran, Islamic Republic of 1.5 DB16-20 methodology compare
  2. 38 Suriname 1.5 DB16-20 methodology compare
  3. 41 Mexico 1.17 DB16-20 methodology compare

See the full ranking of 185 places →

More private sector data for Mali

All data for Mali →

Frequently asked questions

What is dealing with construction permits: liability and insurance regimes in Mali?
Dealing with construction permits: liability and insurance regimes in Mali was 1.5 DB16-20 methodology in 2019, according to the World Bank.
What is the highest dealing with construction permits: liability and insurance regimes recorded in Mali?
The highest recorded value was 1.5 DB16-20 methodology in 2014.
What is the lowest dealing with construction permits: liability and insurance regimes recorded in Mali?
The lowest recorded value was 1.5 DB16-20 methodology in 2014.
How does Mali rank for dealing with construction permits: liability and insurance regimes?
Mali ranks 38th out of 185 countries with data for 2019.
Is dealing with construction permits: liability and insurance regimes rising or falling in Mali?
Over the last ten years it is unchanged. The long-run trend across the full record is flat.
Where does this Mali data come from?
The figures come from the World Bank, published as part of Dealing with construction permits: Liability and insurance regimes index (0-2) (DB16-20 methodology). Statizoid updates them automatically from the source API.

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Dealing with construction permits: Liability and insurance regimes in Mali. Statizoid. Retrieved 23 August 2026, from https://private-sector.statizoid.com/stat/dealing-with-construction-permits-liability-and-insurance-regimes-index-0-2-db16-20/mali/

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About this data

Indicator
Dealing with construction permits: Liability and insurance regimes index (0-2) (DB16-20 methodology)
Unit
DB16-20 methodology
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
185 places, 1,109 data points, 2014–2019
Last refreshed

The liability and insurance regimes index evaluates the stringency of latent defect liability and insurance regimes. It has two components: (i) whether any parties involved in the construction process are held legally liable for latent defects such as structural flaws or problems in the building once it is in use; (ii) whether any party involved in the construction process is legally required to obtain a latent defect liability or decennial (10 years) liability insurance policy to cover possible structural flaws or problems in the building once it is in use. The index is computed based on the methodology in the DB16-20 studies.