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

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

Where does this Burundi data come from?

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

Trading across borders: Time to import: Border compliance (hours) (DB1 in Burundi

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

Burundi: Trading across borders: Time to import: Border compliance (hours) (DB1 was 45.05 in 2019. ▬ Flat

Latest (2019)

45.05

Change on year

unchanged

World rank

168th

of 188 countries

All-time high

45.05

in 2014

All-time low

45.05

in 2014

Years of data

2014–2019

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

Source: World Bank.

Analysis

Burundi recorded 45.05 for trading across borders: time to import: border compliance (hours) (db1 in 2019. That is the highest value across all 6 years on record.

Compared with earlier readings it is unchanged over ten years.

Burundi ranks 168th of 188 countries on this measure, in the bottom quarter.

Countries ranked near Burundi

165 Sudan 48.75 compare
166 Uganda 48.39 compare
167 Sao Tome and Principe 46.59 compare
169 Togo 40.14 compare
170 South Sudan 36.2 compare
171 Lebanon 35.84 compare

See the full ranking of 190 places →

More reference data data for Burundi

Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.6676 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.6676 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.5075 (2050)
Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0676 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0521 (2050)
Country level monthly temperature anomalies 0.8146 (2026)
Summer temperature anomalies 0.8014 (2026)
Spring temperature anomalies 0.196 (2026)
Emission Totals - Emissions (CO2eq) (AR5) - Crop Residues 75.21 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 70.94 (2050)

All data for Burundi →

Frequently asked questions

What is trading across borders: time to import: border compliance (hours) (db1 in Burundi?: Trading across borders: time to import: border compliance (hours) (db1 in Burundi was 45.05 in 2019, according to the World Bank.
What is the highest trading across borders: time to import: border compliance (hours) (db1 recorded in Burundi?: The highest recorded value was 45.05 in 2014.
What is the lowest trading across borders: time to import: border compliance (hours) (db1 recorded in Burundi?: The lowest recorded value was 45.05 in 2014.
How does Burundi rank for trading across borders: time to import: border compliance (hours) (db1?: Burundi ranks 168th out of 188 countries with data for 2019.
Is trading across borders: time to import: border compliance (hours) (db1 rising or falling in Burundi?: Over the last ten years it is unchanged. The long-run trend across the full record is flat.
Where does this Burundi data come from?: The figures come from the World Bank, published as part of Trading across borders: Time to import: 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 import: 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 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.