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

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

Where does this Laos 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 Laos

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

Laos: Trading across borders: Time to import: Border compliance (hours) (DB1 was 96.59 in 2019. ▬ Flat

Latest (2019)

96.59

Change on year

unchanged

World rank

52nd

of 188 countries

All-time high

96.59

in 2018

All-time low

95.52

in 2014

Years of data

2014–2019

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

Source: World Bank.

Analysis

The most recent figure for trading across borders: time to import: border compliance (hours) (db1 in Laos is 96.59, measured in 2019. 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 Laos 52nd out of 188 countries with data for 2019, putting it in the middle of the range.

Countries ranked near Laos

50 Mozambique 97.13 compare
51 Albania 96.77 compare
53 Nepal 96.42 compare
54 Cyprus 95.1 compare
55 Georgia 94.98 compare

See the full ranking of 190 places →

More reference data data for Laos

Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.913 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 1.88 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 0.3021 (2050)
Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.6615 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.88 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 587.77 (2050)
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Enteric Fermentat 7,569 (2050)
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Burning - Crop re 63.43 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 1,343 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 1,049 (2050)

All data for Laos →

Frequently asked questions

What is trading across borders: time to import: border compliance (hours) (db1 in Laos?: Trading across borders: time to import: border compliance (hours) (db1 in Laos was 96.59 in 2019, according to the World Bank.
What is the highest trading across borders: time to import: border compliance (hours) (db1 recorded in Laos?: The highest recorded value was 96.59 in 2018.
What is the lowest trading across borders: time to import: border compliance (hours) (db1 recorded in Laos?: The lowest recorded value was 95.52 in 2014.
How does Laos rank for trading across borders: time to import: border compliance (hours) (db1?: Laos ranks 52nd out of 188 countries with data for 2019.
Is trading across borders: time to import: border compliance (hours) (db1 rising or falling in Laos?: Over the last ten years it is up 1.1%. The long-run trend across the full record is flat.
Where does this Laos 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.