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

Over the last ten years it is down 2.9%. The long-run trend across the full record is flat.

Where does this Japan 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 Japan

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

Japan: Trading across borders: Time to export: Border compliance (hours) (DB1 was 83.87 in 2019. ▬ Flat

Latest (2019)

83.87

Change on year

down 2.9%

World rank

69th

of 188 countries

All-time high

86.42

in 2014

All-time low

83.87

in 2019

Years of data

2014–2019

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

Source: World Bank.

Analysis

Japan recorded 83.87 for trading across borders: time to export: border compliance (hours) (db1 in 2019. That is the lowest value across all 6 years on record.

Compared with earlier readings it is down 2.9% on the previous year and down 2.9% over ten years.

Japan ranks 69th of 188 countries on this measure, in the middle of the range.

Countries ranked near Japan

See the full ranking of 190 places →

More reference data data for Japan

Emission Totals - Emissions (N2O) - Manure applied to Soils 3.98 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 6,290 (2050)
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Manure Management 1,291 (2050)
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture 15,608 (2050)
Emission Totals - Emissions (N2O) - Agricultural Soils 19.52 (2050)
Emission Totals - Emissions (N2O) - Burning - Crop residues 0.0529 (2050)
Emission Totals - Emissions (CO2eq) (AR5) - Manure applied to Soils 1,056 (2050)
Emission Totals - Emissions (CO2eq) (AR5) - Manure left on Pasture 1,475 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 1,056 (2050)
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Enteric Fermentat 7,256 (2050)

All data for Japan →

Frequently asked questions

What is trading across borders: time to export: border compliance (hours) (db1 in Japan?: Trading across borders: time to export: border compliance (hours) (db1 in Japan was 83.87 in 2019, according to the World Bank.
What is the highest trading across borders: time to export: border compliance (hours) (db1 recorded in Japan?: The highest recorded value was 86.42 in 2014.
What is the lowest trading across borders: time to export: border compliance (hours) (db1 recorded in Japan?: The lowest recorded value was 83.87 in 2019.
How does Japan rank for trading across borders: time to export: border compliance (hours) (db1?: Japan ranks 69th out of 188 countries with data for 2019.
Is trading across borders: time to export: border compliance (hours) (db1 rising or falling in Japan?: Over the last ten years it is down 2.9%. The long-run trend across the full record is flat.
Where does this Japan 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.