How does Lithuania rank for trading across borders: time to export: border compliance (hours) (db1?

Lithuania ranks 38th out of 188 countries with data for 2019.

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

Over the last ten years it is up 1.1%. The long-run trend across the full record is flat.

Where does this Lithuania 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 Lithuania

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

Lithuania: Trading across borders: Time to export: Border compliance (hours) (DB1 was 96.03 in 2019. ▬ Flat

Latest (2019)

96.03

Change on year

unchanged

World rank

38th

of 188 countries

All-time high

96.03

in 2018

All-time low

94.97

in 2014

Years of data

2014–2019

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

Source: World Bank.

Analysis

In 2019, trading across borders: time to export: border compliance (hours) (db1 in Lithuania stood at 96.03. That is the highest value across all 6 years on record.

Compared with earlier readings it is up 1.1% over ten years.

That places Lithuania 38th out of 188 countries with data for 2019, putting it in the top quarter.

Countries ranked near Lithuania

See the full ranking of 190 places →

More reference data data for Lithuania

Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2893 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.1106 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 1.14 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1208 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.14 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 0.9699 (2050)
Emission Totals - Emissions (N2O) - Manure Management 0.6729 (2050)
Emission Totals - Emissions (N2O) - Manure left on Pasture 0.5859 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 5.41 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 0.6578 (2050)

All data for Lithuania →

Frequently asked questions

What is trading across borders: time to export: border compliance (hours) (db1 in Lithuania?: Trading across borders: time to export: border compliance (hours) (db1 in Lithuania was 96.03 in 2019, according to the World Bank.
What is the highest trading across borders: time to export: border compliance (hours) (db1 recorded in Lithuania?: The highest recorded value was 96.03 in 2018.
What is the lowest trading across borders: time to export: border compliance (hours) (db1 recorded in Lithuania?: The lowest recorded value was 94.97 in 2014.
How does Lithuania rank for trading across borders: time to export: border compliance (hours) (db1?: Lithuania ranks 38th out of 188 countries with data for 2019.
Is trading across borders: time to export: border compliance (hours) (db1 rising or falling in Lithuania?: Over the last ten years it is up 1.1%. The long-run trend across the full record is flat.
Where does this Lithuania 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.