Trading across borders: Time to export (days) (DB06-15 methodology) in East Timor
East Timor: Trading across borders: Time to export (days) (DB06-15 methodology) was 54.17 in 2014. ▬ Flat
Trading across borders: Time to export (days) (DB06-15 methodology) in East Timor, 2005–2014
Source: World Bank.
Analysis
East Timor recorded 54.17 for trading across borders: time to export (days) (db06-15 methodology) in 2014. That is the highest value across all 10 years on record.
Compared with earlier readings it is unchanged over ten years.
Over the whole period, trading across borders: time to export (days) (db06-15 methodology) in East Timor peaked at 54.17 in 2005 and was at its lowest, 54.17, in 2005.
East Timor ranks 148th of 184 countries on this measure, in the bottom quarter.
Trading across borders: Time to export (days) (DB06-15 methodology) in East Timor, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 54.17 | — |
| 2006 | 54.17 | +0.0% |
| 2007 | 54.17 | +0.0% |
| 2008 | 54.17 | +0.0% |
| 2009 | 54.17 | +0.0% |
| 2010 | 54.17 | +0.0% |
| 2011 | 54.17 | +0.0% |
| 2012 | 54.17 | +0.0% |
| 2013 | 54.17 | +0.0% |
| 2014 | 54.17 | +0.0% |
East Timor compared with similar countries
- East Timor's 54.17 is below the median for lower middle income countries, which is 63.54, 85% of the median. (46 countries reporting)
- East Timor's 54.17 is below the median for East Asia & Pacific, which is 68.75, 79% of the median. (27 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 54.17 | 54.17 | 54.17 | 5 |
| 2010s | 54.17 | 54.17 | 54.17 | 5 |
Countries ranked near East Timor
- 146 Azerbaijan 56.25 compare
- 146 Botswana 56.25 compare
- 148 Haiti 54.17 compare
- 148 Uganda 54.17 compare
- 151 Bangladesh 53.46 compare
More reference data data for East Timor
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural 171.61 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied 41.57 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 75.64 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on 112.76 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop 2.54 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Crop Residues 17.28 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0888 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0468 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.4255 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.9426 (2050)
Frequently asked questions
- What is trading across borders: time to export (days) (db06-15 methodology) in East Timor?
- Trading across borders: time to export (days) (db06-15 methodology) in East Timor was 54.17 in 2014, according to the World Bank.
- What is the highest trading across borders: time to export (days) (db06-15 methodology) recorded in East Timor?
- The highest recorded value was 54.17 in 2005.
- What is the lowest trading across borders: time to export (days) (db06-15 methodology) recorded in East Timor?
- The lowest recorded value was 54.17 in 2005.
- How does East Timor rank for trading across borders: time to export (days) (db06-15 methodology)?
- East Timor ranks 148th out of 184 countries with data for 2014.
- Is trading across borders: time to export (days) (db06-15 methodology) rising or falling in East Timor?
- Over the last ten years it is unchanged. The long-run trend across the full record is flat.
- Where does this East Timor 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.