Trading across borders: Time to import (days) (DB06-15 methodology) in Luxembourg
Luxembourg: Trading across borders: Time to import (days) (DB06-15 methodology) was 95.16 in 2014. ▬ Flat
Trading across borders: Time to import (days) (DB06-15 methodology) in Luxembourg, 2006–2014
Source: World Bank.
Analysis
The most recent figure for trading across borders: time to import (days) (db06-15 methodology) in Luxembourg is 95.16, measured in 2014. That is the highest value across all 9 years on record.
The figure is unchanged over ten years.
Over the whole period, trading across borders: time to import (days) (db06-15 methodology) in Luxembourg peaked at 95.16 in 2006 and was at its lowest, 95.16, in 2006.
Luxembourg ranks 10th of 184 countries on this measure, in the top 10%.
Trading across borders: Time to import (days) (DB06-15 methodology) in Luxembourg, year by year
| Year | Value | Change |
|---|---|---|
| 2006 | 95.16 | — |
| 2007 | 95.16 | +0.0% |
| 2008 | 95.16 | +0.0% |
| 2009 | 95.16 | +0.0% |
| 2010 | 95.16 | +0.0% |
| 2011 | 95.16 | +0.0% |
| 2012 | 95.16 | +0.0% |
| 2013 | 95.16 | +0.0% |
| 2014 | 95.16 | +0.0% |
Luxembourg compared with similar countries
- Luxembourg's 95.16 is above the median for high income countries, which is 88.71, 1.1× the median. (59 countries reporting)
- Luxembourg's 95.16 is above the median for Europe & Central Asia, which is 84.68, 1.1× the median. (48 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 95.16 | 95.16 | 95.16 | 4 |
| 2010s | 95.16 | 95.16 | 95.16 | 5 |
Countries ranked near Luxembourg
- 7 Netherlands 96.77 compare
- 7 Sweden 96.77 compare
- 7 United Kingdom 96.77 compare
- 10 Finland 95.16 compare
- 10 Germany 95.16 compare
- 10 South Korea 95.16 compare
- 10 Norway 95.16 compare
- 10 United Arab Emirates 95.16 compare
More reference data data for Luxembourg
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.041 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0209 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.1381 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0065 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.1381 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.1376 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.099 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.1147 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.6709 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0353 (2050)
Frequently asked questions
- What is trading across borders: time to import (days) (db06-15 methodology) in Luxembourg?
- Trading across borders: time to import (days) (db06-15 methodology) in Luxembourg was 95.16 in 2014, according to the World Bank.
- What is the highest trading across borders: time to import (days) (db06-15 methodology) recorded in Luxembourg?
- The highest recorded value was 95.16 in 2006.
- What is the lowest trading across borders: time to import (days) (db06-15 methodology) recorded in Luxembourg?
- The lowest recorded value was 95.16 in 2006.
- How does Luxembourg rank for trading across borders: time to import (days) (db06-15 methodology)?
- Luxembourg ranks 10th out of 184 countries with data for 2014.
- Is trading across borders: time to import (days) (db06-15 methodology) rising or falling in Luxembourg?
- Over the last ten years it is unchanged. The long-run trend across the full record is flat.
- Where does this Luxembourg data come from?
- The figures come from the World Bank, published as part of Trading across borders: Time to import (days) (DB06-15 methodology) - Score. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 9 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
The score for the time 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 DB06-15 studies.