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

Over the last ten years it is up 3.9%. The long-run trend across the full record is flat.

Where does this Mozambique 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 Mozambique

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

Mozambique: Trading across borders: Time to import: Documentary compliance (hours) was 93.72 in 2019. ▬ Flat

Latest (2019)

93.72

Change on year

unchanged

World rank

70th

of 188 countries

All-time high

93.72

in 2018

All-time low

90.24

in 2014

Years of data

2014–2019

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

Source: World Bank.

Analysis

Mozambique recorded 93.72 for trading across borders: time to import: documentary compliance (hours) in 2019. That is the highest value across all 6 years on record.

That represents a change of up 3.9% over ten years.

Mozambique ranks 70th of 188 countries on this measure, in the middle of the range.

Countries ranked near Mozambique

See the full ranking of 190 places →

More reference data data for Mozambique

Emission Totals - Indirect emissions (N2O) - Agricultural Soils 4.53 (2050)
Emission Totals - Emissions (N2O) - Agricultural Soils 18.4 (2050)
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Enteric Fermentat 4,806 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 7,391 (2050)
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Burning - Crop re 196.43 (2050)
Emission Totals - Emissions (CO2eq) (AR5) - Manure left on Pasture 2,193 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 4.53 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop re 48.2 (2050)
Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 2.06 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 27.89 (2050)

All data for Mozambique →

Frequently asked questions

What is trading across borders: time to import: documentary compliance (hours) in Mozambique?: Trading across borders: time to import: documentary compliance (hours) in Mozambique was 93.72 in 2019, according to the World Bank.
What is the highest trading across borders: time to import: documentary compliance (hours) recorded in Mozambique?: The highest recorded value was 93.72 in 2018.
What is the lowest trading across borders: time to import: documentary compliance (hours) recorded in Mozambique?: The lowest recorded value was 90.24 in 2014.
How does Mozambique rank for trading across borders: time to import: documentary compliance (hours)?: Mozambique ranks 70th out of 188 countries with data for 2019.
Is trading across borders: time to import: documentary compliance (hours) rising or falling in Mozambique?: Over the last ten years it is up 3.9%. The long-run trend across the full record is flat.
Where does this Mozambique 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.