Trading across borders: Time to import (days) (DB06-15 methodology) in Sweden
Sweden: Trading across borders: Time to import (days) (DB06-15 methodology) was 96.77 in 2014. ▬ Flat
Trading across borders: Time to import (days) (DB06-15 methodology) in Sweden, 2005–2014
Source: World Bank.
Analysis
The most recent figure for trading across borders: time to import (days) (db06-15 methodology) in Sweden is 96.77, measured in 2014. That is the highest value across all 10 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 Sweden peaked at 96.77 in 2005 and was at its lowest, 96.77, in 2005.
Sweden ranks 7th of 184 countries on this measure, in the top 10%.
Trading across borders: Time to import (days) (DB06-15 methodology) in Sweden, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 96.77 | — |
| 2006 | 96.77 | +0.0% |
| 2007 | 96.77 | +0.0% |
| 2008 | 96.77 | +0.0% |
| 2009 | 96.77 | +0.0% |
| 2010 | 96.77 | +0.0% |
| 2011 | 96.77 | +0.0% |
| 2012 | 96.77 | +0.0% |
| 2013 | 96.77 | +0.0% |
| 2014 | 96.77 | +0.0% |
Sweden compared with similar countries
- Sweden's 96.77 is above the median for high income countries, which is 88.71, 1.1× the median. (59 countries reporting)
- Sweden's 96.77 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 | 96.77 | 96.77 | 96.77 | 5 |
| 2010s | 96.77 | 96.77 | 96.77 | 5 |
Countries ranked near Sweden
- 6 United States 97.74 compare
- 7 Netherlands 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 Luxembourg 95.16 compare
- 10 Norway 95.16 compare
- 10 United Arab Emirates 95.16 compare
More reference data data for Sweden
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.4328 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.2237 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 1.68 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.2063 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.68 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.45 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.9766 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 1.13 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 8.03 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 1.12 (2050)
Frequently asked questions
- What is trading across borders: time to import (days) (db06-15 methodology) in Sweden?
- Trading across borders: time to import (days) (db06-15 methodology) in Sweden was 96.77 in 2014, according to the World Bank.
- What is the highest trading across borders: time to import (days) (db06-15 methodology) recorded in Sweden?
- The highest recorded value was 96.77 in 2005.
- What is the lowest trading across borders: time to import (days) (db06-15 methodology) recorded in Sweden?
- The lowest recorded value was 96.77 in 2005.
- How does Sweden rank for trading across borders: time to import (days) (db06-15 methodology)?
- Sweden ranks 7th out of 184 countries with data for 2014.
- Is trading across borders: time to import (days) (db06-15 methodology) rising or falling in Sweden?
- Over the last ten years it is unchanged. The long-run trend across the full record is flat.
- Where does this Sweden 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 — 10 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.