Trading across borders: Time to import (days) (DB06-15 methodology) in Thailand
Thailand: 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 Thailand, 2005–2014
Source: World Bank.
Analysis
In 2014, trading across borders: time to import (days) (db06-15 methodology) in Thailand stood at 85.48. That is the highest value across all 10 years on record.
The figure is up 20.5% over ten years.
Over the whole period, trading across borders: time to import (days) (db06-15 methodology) in Thailand peaked at 85.48 in 2008 and was at its lowest, 70.97, in 2005.
Thailand ranks 43rd of 184 countries on this measure, in the top quarter.
Trading across borders: Time to import (days) (DB06-15 methodology) in Thailand, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 70.97 | — |
| 2006 | 70.97 | +0.0% |
| 2007 | 83.87 | +18.2% |
| 2008 | 85.48 | +1.9% |
| 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% |
Thailand compared with similar countries
- Thailand's 85.48 is above the median for upper middle income countries, which is 75.81, 1.1× the median. (55 countries reporting)
- Thailand's 85.48 is above the median for East Asia & Pacific, which is 70.97, 1.2× the median. (27 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 79.35 | 70.97 | 85.48 | 5 |
| 2010s | 85.48 | 85.48 | 85.48 | 5 |
Countries ranked near Thailand
- 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 Romania 85.48 compare
- 43 Sri Lanka 85.48 compare
- 43 Saint Lucia 85.48 compare
- 43 Saint Vincent and the Grenadines 85.48 compare
More reference data data for Thailand
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 1.67 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.89 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 13.08 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 1.45 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 13.08 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 5.58 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 7.72 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 10.67 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 65.23 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 7.92 (2050)
Frequently asked questions
- What is trading across borders: time to import (days) (db06-15 methodology) in Thailand?
- Trading across borders: time to import (days) (db06-15 methodology) in Thailand 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 Thailand?
- The highest recorded value was 85.48 in 2008.
- What is the lowest trading across borders: time to import (days) (db06-15 methodology) recorded in Thailand?
- The lowest recorded value was 70.97 in 2005.
- How does Thailand rank for trading across borders: time to import (days) (db06-15 methodology)?
- Thailand 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 Thailand?
- Over the last ten years it is up 20.5%. The long-run trend across the full record is rising.
- Where does this Thailand 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.