Trading across borders: Time to export (days) (DB06-15 methodology) in Mongolia
Mongolia: Trading across borders: Time to export (days) (DB06-15 methodology) was 20.83 in 2014. ▬ Flat
Trading across borders: Time to export (days) (DB06-15 methodology) in Mongolia, 2005–2014
Source: World Bank.
Analysis
Mongolia recorded 20.83 for trading across borders: time to export (days) (db06-15 methodology) in 2014. That is the lowest 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 export (days) (db06-15 methodology) in Mongolia peaked at 27.08 in 2009 and was at its lowest, 20.83, in 2005.
That places Mongolia 168th out of 184 countries with data for 2014, putting it in the bottom quarter.
Trading across borders: Time to export (days) (DB06-15 methodology) in Mongolia, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 20.83 | — |
| 2006 | 20.83 | +0.0% |
| 2007 | 20.83 | +0.0% |
| 2008 | 20.83 | +0.0% |
| 2009 | 27.08 | +30.0% |
| 2010 | 27.08 | +0.0% |
| 2011 | 27.08 | +0.0% |
| 2012 | 20.83 | -23.1% |
| 2013 | 20.83 | +0.0% |
| 2014 | 20.83 | +0.0% |
Mongolia compared with similar countries
- Mongolia's 20.83 is below the median for upper middle income countries, which is 77.08, 27% of the median. (55 countries reporting)
- Mongolia's 20.83 is below the median for East Asia & Pacific, which is 68.75, 30% of the median. (27 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 22.08 | 20.83 | 27.08 | 5 |
| 2010s | 23.33 | 20.83 | 27.08 | 5 |
Countries ranked near Mongolia
- 165 Angola 29.17 compare
- 165 Nepal 29.17 compare
- 167 Burkina Faso 27.08 compare
- 168 Democratic Republic of Congo 20.83 compare
- 168 Ethiopia 20.83 compare
- 171 Central African Republic 16.67 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 export (days) (db06-15 methodology) in Mongolia?
- Trading across borders: time to export (days) (db06-15 methodology) in Mongolia was 20.83 in 2014, according to the World Bank.
- What is the highest trading across borders: time to export (days) (db06-15 methodology) recorded in Mongolia?
- The highest recorded value was 27.08 in 2009.
- What is the lowest trading across borders: time to export (days) (db06-15 methodology) recorded in Mongolia?
- The lowest recorded value was 20.83 in 2005.
- How does Mongolia rank for trading across borders: time to export (days) (db06-15 methodology)?
- Mongolia ranks 168th out of 184 countries with data for 2014.
- Is trading across borders: time to export (days) (db06-15 methodology) rising or falling in Mongolia?
- Over the last ten years it is unchanged. 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 export (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 export 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.