Trading across borders: Time to import (days) (DB06-15 methodology) in Chile
Chile: Trading across borders: Time to import (days) (DB06-15 methodology) was 87.1 in 2014. ▲ Rising
Trading across borders: Time to import (days) (DB06-15 methodology) in Chile, 2005–2014
Source: World Bank.
Analysis
Chile recorded 87.1 for trading across borders: time to import (days) (db06-15 methodology) in 2014. That is the highest value across all 10 years on record.
The figure is up 8.0% over ten years.
Over the whole period, trading across borders: time to import (days) (db06-15 methodology) in Chile peaked at 87.1 in 2012 and was at its lowest, 80.65, in 2005.
Chile ranks 41st of 184 countries on this measure, in the top quarter.
Trading across borders: Time to import (days) (DB06-15 methodology) in Chile, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 80.65 | — |
| 2006 | 80.65 | +0.0% |
| 2007 | 80.65 | +0.0% |
| 2008 | 80.65 | +0.0% |
| 2009 | 80.65 | +0.0% |
| 2010 | 80.65 | +0.0% |
| 2011 | 82.26 | +2.0% |
| 2012 | 87.1 | +5.9% |
| 2013 | 87.1 | +0.0% |
| 2014 | 87.1 | +0.0% |
Chile compared with similar countries
- Chile's 87.1 is below the median for high income countries, which is 88.71, 98% of the median. (59 countries reporting)
- Chile's 87.1 is above the median for Latin America & Caribbean, which is 81.45, 1.1× the median. (32 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 80.65 | 80.65 | 80.65 | 5 |
| 2010s | 84.84 | 80.65 | 87.1 | 5 |
Countries ranked near Chile
- 40 Mexico 88.44 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
- 43 Thailand 85.48 compare
More reference data data for Chile
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.9268 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 2.22 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 5.33 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.2204 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 5.33 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 3.11 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.46 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 11.45 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 25.25 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 1.2 (2050)
Frequently asked questions
- What is trading across borders: time to import (days) (db06-15 methodology) in Chile?
- Trading across borders: time to import (days) (db06-15 methodology) in Chile was 87.1 in 2014, according to the World Bank.
- What is the highest trading across borders: time to import (days) (db06-15 methodology) recorded in Chile?
- The highest recorded value was 87.1 in 2012.
- What is the lowest trading across borders: time to import (days) (db06-15 methodology) recorded in Chile?
- The lowest recorded value was 80.65 in 2005.
- How does Chile rank for trading across borders: time to import (days) (db06-15 methodology)?
- Chile ranks 41st out of 184 countries with data for 2014.
- Is trading across borders: time to import (days) (db06-15 methodology) rising or falling in Chile?
- Over the last ten years it is up 8.0%. The long-run trend across the full record is rising.
- Where does this Chile 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.