Trading across borders: Time to import (days) (DB06-15 methodology) in Azerbaijan
Azerbaijan: Trading across borders: Time to import (days) (DB06-15 methodology) was 66.13 in 2014. ▲ Rising
Trading across borders: Time to import (days) (DB06-15 methodology) in Azerbaijan, 2005–2014
Source: World Bank.
Analysis
In 2014, trading across borders: time to import (days) (db06-15 methodology) in Azerbaijan stood at 66.13. That is the highest value across all 10 years on record.
Compared with earlier readings it is up 36.7% over ten years.
Over the whole period, trading across borders: time to import (days) (db06-15 methodology) in Azerbaijan peaked at 66.13 in 2013 and was at its lowest, 48.39, in 2005.
That places Azerbaijan 118th out of 184 countries with data for 2014, putting it in the middle of the range.
Trading across borders: Time to import (days) (DB06-15 methodology) in Azerbaijan, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 48.39 | — |
| 2006 | 48.39 | +0.0% |
| 2007 | 48.39 | +0.0% |
| 2008 | 48.39 | +0.0% |
| 2009 | 58.06 | +20.0% |
| 2010 | 64.52 | +11.1% |
| 2011 | 64.52 | +0.0% |
| 2012 | 64.52 | +0.0% |
| 2013 | 66.13 | +2.5% |
| 2014 | 66.13 | +0.0% |
Azerbaijan compared with similar countries
- Azerbaijan's 66.13 is below the median for upper middle income countries, which is 75.81, 87% of the median. (55 countries reporting)
- Azerbaijan's 66.13 is below the median for Europe & Central Asia, which is 84.68, 78% of the median. (48 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 50.32 | 48.39 | 58.06 | 5 |
| 2010s | 65.16 | 64.52 | 66.13 | 5 |
Countries ranked near Azerbaijan
- 118 Benin 66.13 compare
- 118 Cameroon 66.13 compare
- 118 Marshall Islands 66.13 compare
- 118 Mozambique 66.13 compare
- 118 Tonga 66.13 compare
More reference data data for Azerbaijan
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.1322 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.94 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 2.34 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1063 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 2.34 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.4434 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.1605 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 9.23 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 11.11 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.5787 (2050)
Frequently asked questions
- What is trading across borders: time to import (days) (db06-15 methodology) in Azerbaijan?
- Trading across borders: time to import (days) (db06-15 methodology) in Azerbaijan was 66.13 in 2014, according to the World Bank.
- What is the highest trading across borders: time to import (days) (db06-15 methodology) recorded in Azerbaijan?
- The highest recorded value was 66.13 in 2013.
- What is the lowest trading across borders: time to import (days) (db06-15 methodology) recorded in Azerbaijan?
- The lowest recorded value was 48.39 in 2005.
- How does Azerbaijan rank for trading across borders: time to import (days) (db06-15 methodology)?
- Azerbaijan ranks 118th out of 184 countries with data for 2014.
- Is trading across borders: time to import (days) (db06-15 methodology) rising or falling in Azerbaijan?
- Over the last ten years it is up 36.7%. The long-run trend across the full record is rising.
- Where does this Azerbaijan 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.