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

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

Where does this Libya 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 Libya

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

Libya: Trading across borders: Time to export: Border compliance (hours) (DB1 was 55.35 in 2019. ▬ Flat

Latest (2019)

55.35

Change on year

unchanged

World rank

131st

of 188 countries

All-time high

55.35

in 2014

All-time low

55.35

in 2014

Years of data

2014–2019

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

Source: World Bank.

Analysis

Libya recorded 55.35 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 unchanged over ten years.

Libya ranks 131st of 188 countries on this measure, in the middle of the range.

Countries ranked near Libya

129 Togo 58.49 compare
130 Madagascar 56.72 compare
131 Cape Verde 55.35 compare
131 Guinea 55.35 compare
131 Guyana 55.35 compare
131 Kiribati 55.35 compare
131 Nicaragua 55.35 compare

See the full ranking of 190 places →

More reference data data for Libya

Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 56.6 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural Soil 2,049 (2050)
Emission Totals - Emissions (CO2eq) (AR5) - Manure Management 139.01 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Crop Residues 30.32 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 1,541 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 23.14 (2050)
Emission Totals - Emissions (N2O) - Agricultural Soils 7.73 (2050)
Emission Totals - Emissions (CO2eq) (AR5) - Enteric Fermentation 2,614 (2050)
Emission Totals - Emissions (CO2eq) (AR5) - IPCC Agriculture 4,806 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop re 0.8811 (2050)

All data for Libya →

Frequently asked questions

What is trading across borders: time to export: border compliance (hours) (db1 in Libya?: Trading across borders: time to export: border compliance (hours) (db1 in Libya was 55.35 in 2019, according to the World Bank.
What is the highest trading across borders: time to export: border compliance (hours) (db1 recorded in Libya?: The highest recorded value was 55.35 in 2014.
What is the lowest trading across borders: time to export: border compliance (hours) (db1 recorded in Libya?: The lowest recorded value was 55.35 in 2014.
How does Libya rank for trading across borders: time to export: border compliance (hours) (db1?: Libya ranks 131st out of 188 countries with data for 2019.
Is trading across borders: time to export: border compliance (hours) (db1 rising or falling in Libya?: Over the last ten years it is unchanged. The long-run trend across the full record is flat.
Where does this Libya 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.