Trading across borders: Time to export (days) (DB06-15 methodology) in Uruguay
Uruguay: Trading across borders: Time to export (days) (DB06-15 methodology) was 81.25 in 2014. ▲ Rising
Trading across borders: Time to export (days) (DB06-15 methodology) in Uruguay, 2005–2014
Source: World Bank.
Analysis
Uruguay recorded 81.25 for trading across borders: time to export (days) (db06-15 methodology) in 2014. That is the highest value across all 10 years on record.
The figure is up 2.6% on the previous year and up 25.8% over ten years.
Over the whole period, trading across borders: time to export (days) (db06-15 methodology) in Uruguay peaked at 81.25 in 2014 and was at its lowest, 64.58, in 2005.
That places Uruguay 63rd out of 184 countries with data for 2014, putting it in the middle of the range.
Trading across borders: Time to export (days) (DB06-15 methodology) in Uruguay, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 64.58 | — |
| 2006 | 64.58 | +0.0% |
| 2007 | 64.58 | +0.0% |
| 2008 | 75 | +16.1% |
| 2009 | 75 | +0.0% |
| 2010 | 75 | +0.0% |
| 2011 | 79.17 | +5.6% |
| 2012 | 79.17 | +0.0% |
| 2013 | 79.17 | +0.0% |
| 2014 | 81.25 | +2.6% |
Uruguay compared with similar countries
- Uruguay's 81.25 is below the median for high income countries, which is 91.67, 89% of the median. (59 countries reporting)
- Uruguay's 81.25 is below the median for Latin America & Caribbean, which is 82.29, 99% of the median. (32 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 68.75 | 64.58 | 75 | 5 |
| 2010s | 78.75 | 75 | 81.25 | 5 |
Countries ranked near Uruguay
- 63 Belarus 81.25 compare
- 63 Chile 81.25 compare
- 63 Greece 81.25 compare
- 63 Kosovo 81.25 compare
- 63 Kuwait 81.25 compare
- 63 Liberia 81.25 compare
- 63 Philippines 81.25 compare
- 63 Poland 81.25 compare
- 63 Portugal 81.25 compare
- 63 Puerto Rico 81.25 compare
- 63 Qatar 81.25 compare
- 63 Kosovo (UNSCR 1244) 81.25 compare
More reference data data for Uruguay
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2999 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 4.87 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 6.98 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.3685 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 6.98 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.01 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.2195 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 24.48 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 33.62 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 2.01 (2050)
Frequently asked questions
- What is trading across borders: time to export (days) (db06-15 methodology) in Uruguay?
- Trading across borders: time to export (days) (db06-15 methodology) in Uruguay was 81.25 in 2014, according to the World Bank.
- What is the highest trading across borders: time to export (days) (db06-15 methodology) recorded in Uruguay?
- The highest recorded value was 81.25 in 2014.
- What is the lowest trading across borders: time to export (days) (db06-15 methodology) recorded in Uruguay?
- The lowest recorded value was 64.58 in 2005.
- How does Uruguay rank for trading across borders: time to export (days) (db06-15 methodology)?
- Uruguay ranks 63rd out of 184 countries with data for 2014.
- Is trading across borders: time to export (days) (db06-15 methodology) rising or falling in Uruguay?
- Over the last ten years it is up 25.8%. The long-run trend across the full record is rising.
- Where does this Uruguay 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.
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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.