Trading across borders: Time to import (days) (DB06-15 methodology) in Mongolia
Mongolia: Trading across borders: Time to import (days) (DB06-15 methodology) was 33.87 in 2014. ▬ Flat
Trading across borders: Time to import (days) (DB06-15 methodology) in Mongolia, 2005–2014
Source: World Bank.
Analysis
The most recent figure for trading across borders: time to import (days) (db06-15 methodology) in Mongolia is 33.87, measured in 2014. That is the lowest value across all 10 years on record.
Compared with earlier readings it is down 4.5% over ten years.
Over the whole period, trading across borders: time to import (days) (db06-15 methodology) in Mongolia peaked at 38.71 in 2009 and was at its lowest, 33.87, in 2012.
Mongolia ranks 167th of 184 countries on this measure, in the bottom quarter.
Trading across borders: Time to import (days) (DB06-15 methodology) in Mongolia, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 35.48 | — |
| 2006 | 35.48 | +0.0% |
| 2007 | 35.48 | +0.0% |
| 2008 | 35.48 | +0.0% |
| 2009 | 38.71 | +9.1% |
| 2010 | 38.71 | +0.0% |
| 2011 | 38.71 | +0.0% |
| 2012 | 33.87 | -12.5% |
| 2013 | 33.87 | +0.0% |
| 2014 | 33.87 | +0.0% |
Mongolia compared with similar countries
- Mongolia's 33.87 is below the median for upper middle income countries, which is 75.81, 45% of the median. (55 countries reporting)
- Mongolia's 33.87 is below the median for East Asia & Pacific, which is 70.97, 48% of the median. (27 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 36.13 | 35.48 | 38.71 | 5 |
| 2010s | 35.81 | 33.87 | 38.71 | 5 |
Countries ranked near Mongolia
- 165 Equatorial Guinea 35.48 compare
- 165 Ethiopia 35.48 compare
- 168 Sudan 32.26 compare
- 169 Burkina Faso 27.42 compare
- 170 Zambia 20.97 compare
More reference data data for Mongolia
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.8173 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 3.37 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 4.25 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0069 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 4.25 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 2.74 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 3.16 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 12.74 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 18.89 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0378 (2050)
Frequently asked questions
- What is trading across borders: time to import (days) (db06-15 methodology) in Mongolia?
- Trading across borders: time to import (days) (db06-15 methodology) in Mongolia was 33.87 in 2014, according to the World Bank.
- What is the highest trading across borders: time to import (days) (db06-15 methodology) recorded in Mongolia?
- The highest recorded value was 38.71 in 2009.
- What is the lowest trading across borders: time to import (days) (db06-15 methodology) recorded in Mongolia?
- The lowest recorded value was 33.87 in 2012.
- How does Mongolia rank for trading across borders: time to import (days) (db06-15 methodology)?
- Mongolia ranks 167th out of 184 countries with data for 2014.
- Is trading across borders: time to import (days) (db06-15 methodology) rising or falling in Mongolia?
- Over the last ten years it is down 4.5%. The long-run trend across the full record is flat.
- Where does this Mongolia 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.