Is trading across borders: time to import: documentary compliance (hours) rising or falling in Malawi?

Over the last ten years it is up 4.8%. The long-run trend across the full record is rising.

Where does this Malawi data come from?

The figures come from the World Bank, published as part of Trading across borders: Time to import: Documentary compliance (hours) (DB16-20 methodology) - Score. Statizoid updates them automatically from the source API.

Trading across borders: Time to import: Documentary compliance (hours) in Malawi

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

Malawi: Trading across borders: Time to import: Documentary compliance (hours) was 77.41 in 2019. ▲ Rising

Latest (2019)

77.41

Change on year

unchanged

World rank

121st

of 188 countries

All-time high

77.41

in 2017

All-time low

73.87

in 2014

Years of data

2014–2019

Trading across borders: Time to import: Documentary compliance (hours) in Malawi, 2014–2019

Source: World Bank.

Analysis

Malawi recorded 77.41 for trading across borders: time to import: documentary compliance (hours) in 2019. That is the highest value across all 6 years on record.

Compared with earlier readings it is up 4.8% over ten years.

Malawi ranks 121st of 188 countries on this measure, in the middle of the range.

Countries ranked near Malawi

120 Jordan 77.47 compare
122 Jamaica 76.99 compare
123 Madagascar 76.3 compare
124 Benin 75.87 compare

See the full ranking of 190 places →

More reference data data for Malawi

Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.1596 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.09 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 3.71 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 0.3426 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 3.71 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 0.5353 (2050)
Emission Totals - Emissions (N2O) - Manure Management 0.6012 (2050)
Emission Totals - Emissions (N2O) - Manure left on Pasture 4.92 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 16.7 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 1.87 (2050)

All data for Malawi →

Frequently asked questions

What is trading across borders: time to import: documentary compliance (hours) in Malawi?: Trading across borders: time to import: documentary compliance (hours) in Malawi was 77.41 in 2019, according to the World Bank.
What is the highest trading across borders: time to import: documentary compliance (hours) recorded in Malawi?: The highest recorded value was 77.41 in 2017.
What is the lowest trading across borders: time to import: documentary compliance (hours) recorded in Malawi?: The lowest recorded value was 73.87 in 2014.
How does Malawi rank for trading across borders: time to import: documentary compliance (hours)?: Malawi ranks 121st out of 188 countries with data for 2019.
Is trading across borders: time to import: documentary compliance (hours) rising or falling in Malawi?: Over the last ten years it is up 4.8%. The long-run trend across the full record is rising.
Where does this Malawi data come from?: The figures come from the World Bank, published as part of Trading across borders: Time to import: Documentary 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: Documentary 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 documentary 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.