Trading across borders: Time to export (days) (DB06-15 methodology) in Paraguay
Paraguay: Trading across borders: Time to export (days) (DB06-15 methodology) was 52.08 in 2014. ▲ Rising
Trading across borders: Time to export (days) (DB06-15 methodology) in Paraguay, 2005–2014
Source: World Bank.
Analysis
In 2014, trading across borders: time to export (days) (db06-15 methodology) in Paraguay stood at 52.08. That is the highest value across all 10 years on record.
That represents a change of up 38.9% over ten years.
Over the whole period, trading across borders: time to export (days) (db06-15 methodology) in Paraguay peaked at 52.08 in 2013 and was at its lowest, 37.5, in 2005.
That places Paraguay 152nd 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 Paraguay, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 37.5 | — |
| 2006 | 37.5 | +0.0% |
| 2007 | 37.5 | +0.0% |
| 2008 | 37.5 | +0.0% |
| 2009 | 41.67 | +11.1% |
| 2010 | 41.67 | +0.0% |
| 2011 | 41.67 | +0.0% |
| 2012 | 41.67 | +0.0% |
| 2013 | 52.08 | +25.0% |
| 2014 | 52.08 | +0.0% |
Paraguay compared with similar countries
- Paraguay's 52.08 is below the median for upper middle income countries, which is 77.08, 68% of the median. (55 countries reporting)
- Paraguay's 52.08 is below the median for Latin America & Caribbean, which is 82.29, 63% of the median. (32 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 38.33 | 37.5 | 41.67 | 5 |
| 2010s | 45.83 | 41.67 | 52.08 | 5 |
Countries ranked near Paraguay
- 151 Bangladesh 53.46 compare
- 152 Equatorial Guinea 52.08 compare
- 152 Ukraine 52.08 compare
- 152 Yemen 52.08 compare
More reference data data for Paraguay
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.3166 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 5.23 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 7.18 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.6344 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 7.18 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.06 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.5539 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 29.48 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 38.68 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 3.45 (2050)
Frequently asked questions
- What is trading across borders: time to export (days) (db06-15 methodology) in Paraguay?
- Trading across borders: time to export (days) (db06-15 methodology) in Paraguay was 52.08 in 2014, according to the World Bank.
- What is the highest trading across borders: time to export (days) (db06-15 methodology) recorded in Paraguay?
- The highest recorded value was 52.08 in 2013.
- What is the lowest trading across borders: time to export (days) (db06-15 methodology) recorded in Paraguay?
- The lowest recorded value was 37.5 in 2005.
- How does Paraguay rank for trading across borders: time to export (days) (db06-15 methodology)?
- Paraguay ranks 152nd out of 184 countries with data for 2014.
- Is trading across borders: time to export (days) (db06-15 methodology) rising or falling in Paraguay?
- Over the last ten years it is up 38.9%. The long-run trend across the full record is rising.
- Where does this Paraguay 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.