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

Over the last ten years it is unchanged. The long-run trend across the full record is flat.

Where does this Liberia 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 Liberia

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

Liberia: Trading across borders: Time to import: Documentary compliance (hours) was 40.17 in 2019. ▬ Flat

Latest (2019)

40.17

Change on year

unchanged

World rank

165th

of 188 countries

All-time high

40.17

in 2014

All-time low

40.17

in 2014

Years of data

2014–2019

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

Source: World Bank.

Analysis

The most recent figure for trading across borders: time to import: documentary compliance (hours) in Liberia is 40.17, measured in 2019. That is the highest value across all 6 years on record.

That represents a change of unchanged over ten years.

Liberia ranks 165th of 188 countries on this measure, in the bottom quarter.

Countries ranked near Liberia

162 Brunei 45.19 compare
162 Cambodia 45.19 compare
162 Sudan 45.19 compare
165 Bangladesh 40.17 compare
167 Syria 37.94 compare
168 Uzbekistan 37.66 compare

See the full ranking of 190 places →

More reference data data for Liberia

Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 319.25 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 0.1597 (2050)
Emission Totals - Emissions (N2O) - Burning - Crop residues 0.016 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.1282 (2050)
Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0476 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 0.2896 (2050)
Emission Totals - Emissions (N2O) - Agricultural Soils 1.01 (2050)
Emission Totals - Emissions (N2O) - Manure Management 0.183 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0532 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 1.2 (2050)

All data for Liberia →

Frequently asked questions

What is trading across borders: time to import: documentary compliance (hours) in Liberia?: Trading across borders: time to import: documentary compliance (hours) in Liberia was 40.17 in 2019, according to the World Bank.
What is the highest trading across borders: time to import: documentary compliance (hours) recorded in Liberia?: The highest recorded value was 40.17 in 2014.
What is the lowest trading across borders: time to import: documentary compliance (hours) recorded in Liberia?: The lowest recorded value was 40.17 in 2014.
How does Liberia rank for trading across borders: time to import: documentary compliance (hours)?: Liberia ranks 165th out of 188 countries with data for 2019.
Is trading across borders: time to import: documentary compliance (hours) rising or falling in Liberia?: Over the last ten years it is unchanged. The long-run trend across the full record is flat.
Where does this Liberia 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.