Is trading across borders: time to import: border compliance (hours) (db1 rising or falling in Mali?

Over the last ten years it is up 4.0%. 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 Trading across borders: Time to import: Border compliance (hours) (DB16-20 methodology) - Score. Statizoid updates them automatically from the source API.

Trading across borders: Time to import: Border compliance (hours) (DB1 in Mali

Name: Trading across borders: Time to import: Border compliance (hours) (DB1 in Mali
Creator: World Bank
License: CC BY 4.0 (World Bank Open Data)

Mali: Trading across borders: Time to import: Border compliance (hours) (DB1 was 65.11 in 2019. ▬ Flat

Latest (2019)

65.11

Change on year

unchanged

World rank

144th

of 188 countries

All-time high

65.11

in 2015

All-time low

62.6

in 2014

Years of data

2014–2019

Trading across borders: Time to import: Border compliance (hours) (DB1 in Mali, 2014–2019

Source: World Bank.

Analysis

The most recent figure for trading across borders: time to import: border compliance (hours) (db1 in Mali is 65.11, measured in 2019. That is the highest value across all 6 years on record.

Compared with earlier readings it is up 4.0% over ten years.

That places Mali 144th out of 188 countries with data for 2019, putting it in the bottom quarter.

Countries ranked near Mali

143 Seychelles 65.59 compare
145 Madagascar 64.97 compare
146 Indonesia 64.75 compare
147 Maldives 64.52 compare
147 East Timor 64.52 compare

See the full ranking of 190 places →

More reference data data for Mali

Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.3081 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 273.76 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 10,460 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 9.25 (2050)
Emission Totals - Emissions (N2O) - Manure left on Pasture 39.47 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 47.61 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop re 21.69 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 11.03 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural Soil 12,469 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 125.3 (2050)

All data for Mali →

Frequently asked questions

What is trading across borders: time to import: border compliance (hours) (db1 in Mali?: Trading across borders: time to import: border compliance (hours) (db1 in Mali was 65.11 in 2019, according to the World Bank.
What is the highest trading across borders: time to import: border compliance (hours) (db1 recorded in Mali?: The highest recorded value was 65.11 in 2015.
What is the lowest trading across borders: time to import: border compliance (hours) (db1 recorded in Mali?: The lowest recorded value was 62.6 in 2014.
How does Mali rank for trading across borders: time to import: border compliance (hours) (db1?: Mali ranks 144th out of 188 countries with data for 2019.
Is trading across borders: time to import: border compliance (hours) (db1 rising or falling in Mali?: Over the last ten years it is up 4.0%. 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 Trading across borders: Time to import: Border compliance (hours) (DB16-20 methodology) - Score. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 6 observations, free to reuse under CC BY 4.0 (World Bank Open Data).

About this data

Indicator: Trading across borders: Time to import: Border compliance (hours) (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: 10 August 2026

The score for the time for border compliance to import 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.