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

Over the last ten years it is up 9.3%. 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 export: Border compliance (hours) (DB16-20 methodology) - Score. Statizoid updates them automatically from the source API.

Trading across borders: Time to export: Border compliance (hours) (DB1 in Malawi

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

Malawi: Trading across borders: Time to export: Border compliance (hours) (DB1 was 51.5 in 2019. ▲ Rising

Latest (2019)

51.5

Change on year

unchanged

World rank

139th

of 188 countries

All-time high

51.5

in 2017

All-time low

47.1

in 2014

Years of data

2014–2019

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

Source: World Bank.

Analysis

Malawi recorded 51.5 for trading across borders: time to export: border compliance (hours) (db1 in 2019. That is the highest value across all 6 years on record.

The figure is up 9.3% over ten years.

That places Malawi 139th out of 188 countries with data for 2019, putting it in the middle of the range.

Countries ranked near Malawi

137 Burkina Faso 53.77 compare
138 Benin 51.57 compare
140 Algeria 50.31 compare
141 Seychelles 49.06 compare
142 Sao Tome and Principe 48.35 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 export: border compliance (hours) (db1 in Malawi?: Trading across borders: time to export: border compliance (hours) (db1 in Malawi was 51.5 in 2019, according to the World Bank.
What is the highest trading across borders: time to export: border compliance (hours) (db1 recorded in Malawi?: The highest recorded value was 51.5 in 2017.
What is the lowest trading across borders: time to export: border compliance (hours) (db1 recorded in Malawi?: The lowest recorded value was 47.1 in 2014.
How does Malawi rank for trading across borders: time to export: border compliance (hours) (db1?: Malawi ranks 139th out of 188 countries with data for 2019.
Is trading across borders: time to export: border compliance (hours) (db1 rising or falling in Malawi?: Over the last ten years it is up 9.3%. 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 export: 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 export: 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 export 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.