Trading across borders: Time to import (days) (DB06-15 methodology) in Romania
Romania: Trading across borders: Time to import (days) (DB06-15 methodology) was 85.48 in 2014. ▲ Rising
Trading across borders: Time to import (days) (DB06-15 methodology) in Romania, 2005–2014
Source: World Bank.
Analysis
The most recent figure for trading across borders: time to import (days) (db06-15 methodology) in Romania is 85.48, measured in 2014. That is the highest value across all 10 years on record.
Compared with earlier readings it is up 39.5% over ten years.
Over the whole period, trading across borders: time to import (days) (db06-15 methodology) in Romania peaked at 85.48 in 2006 and was at its lowest, 61.29, in 2005.
Romania ranks 43rd of 184 countries on this measure, in the top quarter.
Trading across borders: Time to import (days) (DB06-15 methodology) in Romania, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 61.29 | — |
| 2006 | 85.48 | +39.5% |
| 2007 | 85.48 | +0.0% |
| 2008 | 85.48 | +0.0% |
| 2009 | 85.48 | +0.0% |
| 2010 | 85.48 | +0.0% |
| 2011 | 85.48 | +0.0% |
| 2012 | 85.48 | +0.0% |
| 2013 | 85.48 | +0.0% |
| 2014 | 85.48 | +0.0% |
Romania compared with similar countries
- Romania's 85.48 is below the median for high income countries, which is 88.71, 96% of the median. (59 countries reporting)
- Romania's 85.48 is above the median for Europe & Central Asia, which is 84.68, 1.0× the median. (48 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 80.65 | 61.29 | 85.48 | 5 |
| 2010s | 85.48 | 85.48 | 85.48 | 5 |
Countries ranked near Romania
- 40 Mexico 88.44 compare
- 41 Chile 87.1 compare
- 41 Saint Kitts and Nevis 87.1 compare
- 43 Bahamas 85.48 compare
- 43 Bosnia and Herzegovina 85.48 compare
- 43 Colombia 85.48 compare
- 43 Portugal 85.48 compare
- 43 Sri Lanka 85.48 compare
- 43 Saint Lucia 85.48 compare
- 43 Saint Vincent and the Grenadines 85.48 compare
- 43 Thailand 85.48 compare
More reference data data for Romania
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 1.5 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.03 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 4.59 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.689 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 4.59 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 5.04 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 3.02 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 3.93 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 21.54 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 3.75 (2050)
Frequently asked questions
- What is trading across borders: time to import (days) (db06-15 methodology) in Romania?
- Trading across borders: time to import (days) (db06-15 methodology) in Romania was 85.48 in 2014, according to the World Bank.
- What is the highest trading across borders: time to import (days) (db06-15 methodology) recorded in Romania?
- The highest recorded value was 85.48 in 2006.
- What is the lowest trading across borders: time to import (days) (db06-15 methodology) recorded in Romania?
- The lowest recorded value was 61.29 in 2005.
- How does Romania rank for trading across borders: time to import (days) (db06-15 methodology)?
- Romania ranks 43rd out of 184 countries with data for 2014.
- Is trading across borders: time to import (days) (db06-15 methodology) rising or falling in Romania?
- Over the last ten years it is up 39.5%. The long-run trend across the full record is rising.
- Where does this Romania 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.