Trading across borders: Time to import (days) (DB06-15 methodology) in Germany
Germany: 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 Germany, 2005–2014
Source: World Bank.
Analysis
The most recent figure for trading across borders: time to import (days) (db06-15 methodology) in Germany is 95.16, measured in 2014. That is the highest value across all 10 years on record.
Compared with earlier readings it is unchanged over ten years.
Over the whole period, trading across borders: time to import (days) (db06-15 methodology) in Germany peaked at 95.16 in 2005 and was at its lowest, 95.16, in 2005.
That places Germany 10th out of 184 countries with data for 2014, putting it in the top 10%.
Trading across borders: Time to import (days) (DB06-15 methodology) in Germany, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 95.16 | — |
| 2006 | 95.16 | +0.0% |
| 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% |
Germany compared with similar countries
- Germany's 95.16 is above the median for high income countries, which is 88.71, 1.1× the median. (59 countries reporting)
- Germany'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 | 5 |
| 2010s | 95.16 | 95.16 | 95.16 | 5 |
Countries ranked near Germany
- 7 Netherlands 96.77 compare
- 7 Sweden 96.77 compare
- 7 United Kingdom 96.77 compare
- 10 Finland 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 Germany
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 4.6 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.7 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 16.93 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 1.94 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 16.93 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 15.41 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 9.96 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 8.87 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 80.38 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 10.56 (2050)
Frequently asked questions
- What is trading across borders: time to import (days) (db06-15 methodology) in Germany?
- Trading across borders: time to import (days) (db06-15 methodology) in Germany 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 Germany?
- The highest recorded value was 95.16 in 2005.
- What is the lowest trading across borders: time to import (days) (db06-15 methodology) recorded in Germany?
- The lowest recorded value was 95.16 in 2005.
- How does Germany rank for trading across borders: time to import (days) (db06-15 methodology)?
- Germany 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 Germany?
- Over the last ten years it is unchanged. The long-run trend across the full record is flat.
- Where does this Germany 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.