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

Over the last ten years it is up 22.3%. The long-run trend across the full record is rising.

Where does this Rwanda 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 Rwanda

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

Rwanda: Trading across borders: Time to export: Border compliance (hours) (DB1 was 48.22 in 2019. ▲ Rising

Latest (2019)

48.22

Change on year

unchanged

World rank

143rd

of 188 countries

All-time high

48.22

in 2018

All-time low

39.41

in 2014

Years of data

2014–2019

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

Source: World Bank.

Analysis

Rwanda recorded 48.22 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 22.3% over ten years.

Rwanda ranks 143rd of 188 countries on this measure, in the bottom quarter.

Countries ranked near Rwanda

140 Algeria 50.31 compare
141 Seychelles 49.06 compare
142 Sao Tome and Principe 48.35 compare
144 Kuwait 47.8 compare
144 Suriname 47.8 compare
144 Syria 47.8 compare

See the full ranking of 190 places →

More reference data data for Rwanda

Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2282 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.9517 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 1.38 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1223 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.38 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 0.7651 (2050)
Emission Totals - Emissions (N2O) - Manure Management 0.9517 (2050)
Emission Totals - Emissions (N2O) - Manure left on Pasture 4.27 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 6.98 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 0.666 (2050)

All data for Rwanda →

Frequently asked questions

What is trading across borders: time to export: border compliance (hours) (db1 in Rwanda?: Trading across borders: time to export: border compliance (hours) (db1 in Rwanda was 48.22 in 2019, according to the World Bank.
What is the highest trading across borders: time to export: border compliance (hours) (db1 recorded in Rwanda?: The highest recorded value was 48.22 in 2018.
What is the lowest trading across borders: time to export: border compliance (hours) (db1 recorded in Rwanda?: The lowest recorded value was 39.41 in 2014.
How does Rwanda rank for trading across borders: time to export: border compliance (hours) (db1?: Rwanda ranks 143rd out of 188 countries with data for 2019.
Is trading across borders: time to export: border compliance (hours) (db1 rising or falling in Rwanda?: Over the last ten years it is up 22.3%. The long-run trend across the full record is rising.
Where does this Rwanda 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.