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

Over the last ten years it is unchanged. 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 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 Japan

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

Japan: Trading across borders: Time to import: Border compliance (hours) (DB1 was 86.16 in 2019. ▬ Flat

Latest (2019)

86.16

Change on year

unchanged

World rank

81st

of 188 countries

All-time high

86.16

in 2014

All-time low

86.16

in 2014

Years of data

2014–2019

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

Source: World Bank.

Analysis

Japan recorded 86.16 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.

That places Japan 81st out of 188 countries with data for 2019, putting it in the middle of the range.

Countries ranked near Japan

78 Australia 86.38 compare
78 Oman 86.38 compare
80 Dominica 86.28 compare
82 Mauritius 85.66 compare
83 Bahrain 85.3 compare
84 Mexico 84.51 compare

See the full ranking of 190 places →

More reference data data for Japan

Emission Totals - Emissions (N2O) - Manure Management 4.16 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 3.98 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 4.49 (2050)
Emission Totals - Emissions (N2O) - Agricultural Soils 19.52 (2050)
Emission Totals - Emissions (N2O) - Burning - Crop residues 0.0529 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 0.3629 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 1.98 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 6,290 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 23.74 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 1,056 (2050)

All data for Japan →

Frequently asked questions

What is trading across borders: time to import: border compliance (hours) (db1 in Japan?: Trading across borders: time to import: border compliance (hours) (db1 in Japan was 86.16 in 2019, according to the World Bank.
What is the highest trading across borders: time to import: border compliance (hours) (db1 recorded in Japan?: The highest recorded value was 86.16 in 2014.
What is the lowest trading across borders: time to import: border compliance (hours) (db1 recorded in Japan?: The lowest recorded value was 86.16 in 2014.
How does Japan rank for trading across borders: time to import: border compliance (hours) (db1?: Japan ranks 81st out of 188 countries with data for 2019.
Is trading across borders: time to import: border compliance (hours) (db1 rising or falling in Japan?: Over the last ten years it is unchanged. 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 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.