Trading across borders: Time to export (days) (DB06-15 methodology) in Saint Lucia
Saint Lucia: Trading across borders: Time to export (days) (DB06-15 methodology) was 83.33 in 2014. ▲ Rising
Trading across borders: Time to export (days) (DB06-15 methodology) in Saint Lucia, 2005–2014
Source: World Bank.
Analysis
The most recent figure for trading across borders: time to export (days) (db06-15 methodology) in Saint Lucia is 83.33, measured in 2014. That is the highest value across all 10 years on record.
Compared with earlier readings it is up 2.6% on the previous year and up 25.0% over ten years.
Over the whole period, trading across borders: time to export (days) (db06-15 methodology) in Saint Lucia peaked at 83.33 in 2014 and was at its lowest, 66.67, in 2005.
Saint Lucia ranks 58th of 184 countries on this measure, in the middle of the range.
Trading across borders: Time to export (days) (DB06-15 methodology) in Saint Lucia, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 66.67 | — |
| 2006 | 66.67 | +0.0% |
| 2007 | 72.92 | +9.4% |
| 2008 | 79.17 | +8.6% |
| 2009 | 81.25 | +2.6% |
| 2010 | 81.25 | +0.0% |
| 2011 | 81.25 | +0.0% |
| 2012 | 81.25 | +0.0% |
| 2013 | 81.25 | +0.0% |
| 2014 | 83.33 | +2.6% |
Saint Lucia compared with similar countries
- Saint Lucia's 83.33 is above the median for upper middle income countries, which is 77.08, 1.1× the median. (55 countries reporting)
- Saint Lucia's 83.33 is above the median for Latin America & Caribbean, which is 82.29, 1.0× the median. (32 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 73.33 | 66.67 | 81.25 | 5 |
| 2010s | 81.67 | 81.25 | 83.33 | 5 |
Countries ranked near Saint Lucia
- 57 Brazil 84.6 compare
- 58 Colombia 83.33 compare
- 58 Costa Rica 83.33 compare
- 58 Montenegro 83.33 compare
- 58 Thailand 83.33 compare
More reference data data for Saint Lucia
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0062 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0081 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.0143 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0 (1979)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0143 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0208 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0131 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.0405 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.0745 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0 (1979)
Frequently asked questions
- What is trading across borders: time to export (days) (db06-15 methodology) in Saint Lucia?
- Trading across borders: time to export (days) (db06-15 methodology) in Saint Lucia was 83.33 in 2014, according to the World Bank.
- What is the highest trading across borders: time to export (days) (db06-15 methodology) recorded in Saint Lucia?
- The highest recorded value was 83.33 in 2014.
- What is the lowest trading across borders: time to export (days) (db06-15 methodology) recorded in Saint Lucia?
- The lowest recorded value was 66.67 in 2005.
- How does Saint Lucia rank for trading across borders: time to export (days) (db06-15 methodology)?
- Saint Lucia ranks 58th out of 184 countries with data for 2014.
- Is trading across borders: time to export (days) (db06-15 methodology) rising or falling in Saint Lucia?
- Over the last ten years it is up 25.0%. The long-run trend across the full record is rising.
- Where does this Saint Lucia 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.